Publications
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- Book/Book Chapter
- Journal Articles/Technical Reports
- Peer-Reviewed Conference Proceedings
NMPC for Mode-Switching Operation of Reversible Solid Oxide Cell Systems
Li, M., D.A. Allan, D. Bhattacharyya, V. Dabadghao, N. Giridhar, and S.E. Zitney, and L.T. Biegler, “NMPC for Mode-Switching Operation of Reversible Solid Oxide Cell Systems,” Submitted to AIChE Journal, April (2024).
2024 Publications Journal Articles/Technical Reports
Optimal Operation of Solid-Oxide Electrolysis Cells Considering Long-Term Chemical Degradation
Giridhar, N., D. Bhattacharyya, S.E. Zitney, D.A. Allen, M. Li, and L.T. Biegler, “Optimal Operation of Solid-Oxide Electrolysis Cells Considering Long-Term Chemical Degradation”. To be submitted to the International Journal of Hydrogen Energy.
2024 Publications Journal Articles/Technical Reports
Linear Model Decision Trees as Surrogates in Optimization of Engineering Applications
Ammari, B.L., E.S. Johnson, G. Stinchfield, T.Kim, M. Bynum, W.E. Hart, J. Pulsipher, C.D. Laird, “Linear Model Decision Trees as Surrogates in Optimization of Engineering Applications”, Computers and Chemical Engineering, Volume 178, October 2023, 108347.
2023 Publications Journal Articles/Technical Reports
Beyond price taker: Conceptual design and optimization of integrated energy systems using machine learning market surrogates
Jalving, J., Ghouse, J., Cortes, N., Gao, X., Knueven, B., Agi, D., Martin, S., Chen, X., Guittet, D., Tumbalam-Gooty, R., Bianchi, L., Beattie, K., Gunter, D., Siirola, J.D., Miller, D.C., Dowling, A.W. Beyond price taker: Conceptual design and optimization of integrated energy systems using machine learning market surrogates. Applied Energy. 2023. 351, 121767.
2023 Publications Journal Articles/Technical Reports
Disjunctive optimization model and algorithm for long-term capacity expansion planning of reliable power generation systems
S. Cho, J. Tovar-Facio, I. E. Grossmann, Disjunctive optimization model and algorithm for long-term capacity expansion planning of reliable power generation systems, Computers and Chemical Engineering, Volume 174, June 2023, 108243. https://doi.org/10.1016/j.compchemeng.2023.108243
2023 Publications Journal Articles/Technical Reports
A Mixed Integer Linear Programming Approach for the Design of Chemical Process Families
Stinchfield, G., Morgan, J.C., Naik, S., Biegler, L.T., Eslick, J.C., Jacobson, C., Miller, D.C., Siirola, J.D., Zamarripa, M., Zhang, C. and Zhang, Q., 2024. A mixed integer linear programming approach for the design of chemical process families. Computers & Chemical Engineering, p.108620.
2023 Publications Journal Articles/Technical Reports
Market Optimization and Technoeconomic Analysis of Hydrogen-Electricity Co-production Systems
Laky, D.J., Cortes, N.P., Eslick, J.C., Noring, A., Susarla, N., Okoli, C., Zamarripa-Perez, M.A., Allan, D., Brewer, J.H., Iyengar, A.K.S., Wang, M., Burgard, A.P., Miller, D.C., Dowling, A.W. Market Optimization and Technoeconomic Analysis of Hydrogen-Electricity Co-production Systems. To be submitted to Energy & Environmental Science.
2023 Publications Journal Articles/Technical Reports
Optimization of Process Families for Improved Deployment of Industrial Decarbonization Processes using Machine Learning Surrogates
Stinchfield, G., B.L., Ammari, J. Morgan, J. Siirola, M. Zamarripa, C.D. Laird, “Optimization of Process Families for Improved Deployment of Industrial Decarbonization Processes using Machine Learning Surrogates,” Computer Aided Chemical Engineering, Volume 52, 2023, 1331-1337.
2023 Publications Journal Articles/Technical Reports
Scalable parallel nonlinear optimization with PyNumero and Parapint
Rodriguez, J. S., Parker, R., Laird, C., Nicholson, B., Siirola, J., & Bynum, M. (2023). Scalable parallel nonlinear optimization with PyNumero and Parapint. INFORMS Journal on Computing, 35(2), 265-517. https://doi.org/10.1287/ijoc.2023.1272
2023 Publications Journal Articles/Technical Reports
A complementarity-based vapor-liquid equilibrium formulation for equation-oriented simulation and optimization
Dabadghao, V., Ghouse, J., Eslick, J., Lee, A., Burgard, A.P., Miller, D., & Biegler, L. (2023). A complementarity-based vapor-liquid equilibrium formulation for equation-oriented simulation and optimization. AIChE Journal, 69 (4). https://doi.org/10.1002/aic.18029
2023 Publications Journal Articles/Technical Reports
Dynamic modeling and nonlinear model predictive control of a moving bed chemical looping combustion reactor
Parker, R., & Biegler, L. T. (2022). Dynamic modeling and nonlinear model predictive control of a moving bed chemical looping combustion reactor. IFAC-PapersOnLine, 55(7), 400-405. https://doi.org/10.1016/j.ifacol.2022.07.476.
2022 Publications Journal Articles/Technical Reports
An implicit function formulation for nonlinear programming with index-1 differential algebraic equation systems
Parker, R., Nicholson, B. L., Siirola, J., Laird, C. D., & Biegler, L. T. (2022). An implicit function formulation for nonlinear programming with index-1 differential algebraic equation systems. In Y. Yamashita & M. Kano (Eds.), 14th International Symposium on Process Systems Engineering (PSE2021+), Computer Aided Chemical Engineering, (Vol. 49, pp. 1141-1146). Elsevier. https://doi.org/10.1016/B978-0-323-85159-6.50190-1
2022 Publications Journal Articles/Technical Reports
Recent advances and challenges in optimization models for expansion planning of power systems and reliability optimization
Cho, S., Li, C., & Grossmann, I.E. (2022). Recent advances and challenges in optimization models for expansion planning of power systems and reliability optimization. Computers and Chemical Engineering, 165, 1079245. https://doi.org/10.1016/j.compchemeng.2022.107924
2022 Publications Journal Articles/Technical Reports
Application of an equation-oriented framework to the formulation and parameter estimation of chemical looping reaction kinetic models
Okoli, C. O., Parker, R., Chen, Y., Ostace, A., Lee, A., Bhattacharyya, D., Tong, A., Biegler, L. T., Burgard, A. P., & Miller, D. C. (2022). Application of an equation-oriented framework to the formulation and parameter estimation of chemical looping reaction kinetic models. AIChE Journal 2022, 68(10). https://doi.org/10.1002/aic.17796
2022 Publications Journal Articles/Technical Reports
Hyperparameter tuning of programs with HybridTuner
Sauk, B., & Sahinidis, N. V. (2022). Hyperparameter tuning of programs with HybridTuner. Annals of Mathematics and Artificial Intelligence, 91, 133–151. https://doi.org/10.1007/s10472-022-09793-3
2022 Publications Journal Articles/Technical Reports
Predictive modeling of an existing subcritical pulverized-coal power plant for optimization: data reconciliation, parameter estimation, and validation
Eslick, J. C., Zamarripa, M. A., Ma, J., M. Wang, M., Bhattacharya, I., Rychener, B., Pinkston, P., Bhattacharyya, D., Zitney, S. E., Burgard, A. P., & Miller, D. C. (2022). Predictive modeling of an existing subcritical pulverized-coal power plant for optimization: data reconciliation, parameter estimation, and validation. Applied Energy, 319. https://doi.org/10.1016/j.apenergy.2022.119226.
2022 Publications Journal Articles/Technical Reports
Don’t search – Solve! Process optimization modeling with IDAES
Biegler, L. T., D. C. Miller, D. C., & Okoli, C. O. (2022). Don’t search – Solve! Process optimization modeling with IDAES. In Bortz, M., & Asprion, N. (Eds.), Simulation and Optimization in Process Engineering, (pp. 33-53). Elsevier. https://doi.org/10.1016/B978-0-323-85043-8.00005-2
2022 Publications Book/Book Chapter
Technoeconomic evaluation of solid oxide fuel cell hydrogen-electricity co-generation concepts
Eslick, J., Noring, A., Susarla, N., Okoli, C., Allan, D., Wang, M., Ma, J., Zamarripa, M., Iyengar, A., & Burgard, A. (2022). Technoeconomic evaluation of solid oxide fuel cell hydrogen-electricity co-generation concepts (DOE/NETL-2023/4322). Pittsburgh, PA: National Energy Technology Laboratory, U.S. Department of Energy. https://www.osti.gov/biblio/1960782
2022 Publications
Kinetic model development and Bayesian uncertainty quantification for the complete reduction of Fe-based oxygen carriers for chemical looping combustion
Ostace, A., Chen, Y., Parker, R., Okoli, C. O., Lee, A., Tong, A., Fan, L.-S., Biegler, L. T., Burgard, A. P., Miller, D. C., Mebane, D. S., & Bhattacharyya, D. (2022). Kinetic model development and Bayesian uncertainty quantification for the complete reduction of Fe-based oxygen carriers for chemical looping combustion. Chemical Engineering Science, 252. https://doi.org/10.1016/j.ces.2022.117512
2022 Publications Journal Articles/Technical Reports
Search methods for inorganic materials crystal structure prediction
Yin, X., & Gounaris, C. E. (2022). Search methods for inorganic materials crystal structure prediction. Current Opinion in Chemical Engineering, 35. https://doi.org/10.1016/j.coche.2021.100726
2022 Publications Journal Articles/Technical Reports
Multiscale simulation of integrated energy system and electricity market interactions
Gao, X., Knueven, B., Siirola, J. D., Miller, D. C., & Dowling, A.W. (2022). Multiscale simulation of integrated energy system and electricity market interactions. Applied Energy, 316. https://doi.org/10.1016/j.apenergy.2022.119017
2022 Publications Journal Articles/Technical Reports
Design space description through adaptive sampling and symbolic computation
Zhao, F., Grossmann, I. E., García Muñoz, S., & Stamatis, S. D. (2022). Design space description through adaptive sampling and symbolic computation. AIChE Journal 2022, 68(5). https://doi.org/10.1002/aic.17604
2022 Publications Journal Articles/Technical Reports
MatOpt: A Python package for nanomaterials design using discrete optimization
Hanselman, C. L., Yin, X., Miller, D. C., & Gounaris, C. E. (2022). MatOpt: A Python package for nanomaterials design using discrete optimization. Journal of Chemical Information and Modeling, 62(2), 295-308. https://doi.org/10.1021/acs.jcim.1c00984
2022 Publications Journal Articles/Technical Reports
On representative day selection for capacity expansion planning of power systems under extreme events
Li, C., Conejo, A. J., Siirola, J. D., & Grossmann, I. E. (2022). On representative day selection for capacity expansion planning of power systems under extreme events. International Journal of Electrical Power & Energy Systems, 137. https://doi.org/10.1016/j.ijepes.2021.107697
2022 Publications Journal Articles/Technical Reports
Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems.
Li., C., Conejo, A. J., Liu, P., Omell, B. P., Siirola, J. D., & Grossmann, I. E. (2022). Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems. European Journal of Operation Research, 297(3), 1071-1082. https://doi.org/10.1016/j.ejor.2021.06.024
2022 Publications Journal Articles/Technical Reports
HybridTuner: Tuning with hybrid derivative-free optimization initialization strategies
Sauk, B., & Sahinidis, N. V. (2021). HybridTuner: Tuning with hybrid derivative-free optimization initialization strategies. In Simos, D.E., Pardalos, P.M., & Kotsireas, I.S. (Eds.), LION 2021: Learning and Intelligent Optimization, Lecture Notes in Computer Science 12931, (pp. 379-393). https://doi.org/10.1007/978-3-030-92121-7_29
2021 Publications Journal Articles/Technical Reports
Advanced-multi-step Moving Horizon Estimation
Yeonsoo Kim, Y., Kuan-Han Lin, K.-H., Thierry, D. M., & Biegler, L. T. (2021). Advanced-multi-step Moving Horizon Estimation. IFAC-PapersOnLine, 54(3), 269-274. https://doi.org/10.1016/j.ifacol.2021.08.253
2021 Publications Journal Articles/Technical Reports
Backward stepwise elimination: Approximation guarantee, a batched GPU algorithm, and empirical investigation
Sauk, B., & Sahinidis, N. V. (2021). Backward stepwise elimination: Approximation guarantee, a batched GPU algorithm, and empirical investigation. SN Computer Science, 2. https://doi.org/10.1007/s42979-021-00788-1
2021 Publications Journal Articles/Technical Reports
Model development, validation, and part-load optimization of an MEA-based post-combustion CO2 capture process under part-load and variable capture operations
Akula, P., Eslick, J., Bhattacharyya, D., & Miller, D. C. (2021). Model development, validation, and part-load optimization of an MEA-based post-combustion CO2 capture process under part-load and variable capture operations. Industrial & Engineering Chemistry Research, 60(14), 5176–5193. https://doi.org/10.1021/acs.iecr.0c05035
2021 Publications Journal Articles/Technical Reports
A perspective on nonlinear model predictive control
Biegler, L.T. (2022). A perspective on nonlinear model predictive control. Korean Journal of Chemical Engineering, 38, 1317–1332. https://doi.org/10.1007/s11814-021-0791-7
2021 Publications Journal Articles/Technical Reports
The IDAES process modeling framework and model library—Flexibility for process simulation and optimization
Lee, A., Ghouse, J. H., Eslick, J.C., Laird, C.D., Siirola, J.D., Zamarripa, M.A., Gunter, D., Shinn, J. H., Dowling, A. W., Bhattacharyya, D., Biegler, L. T., Burgard, A. P., & Miller, D.C. (2021). The IDAES process modeling framework and model library—Flexibility for process simulation and optimization. Journal of Advanced Manufacturing and Processing, 3(3), 1-30. https://doi.org/10.1002/amp2.10095
2021 Publications Journal Articles/Technical Reports
Decomposing optimization-based bounds tightening problems via graph partitioning
Bynum, M. L., Castillo, A., Kneuven, B., Laird, C. D., Siirola, J. D., Watson, & J. P. (2021). Decomposing optimization-based bounds tightening problems via graph partitioning. Journal of Global Optimization. https://www.osti.gov/biblio/1834338
2021 Publications Journal Articles/Technical Reports
A generalized cutting-set approach for nonlinear robust optimization in process systems engineering applications
Isenberg, N.M., Akula, P., Eslick, J.C., Bhattacharyya, D., Miller, D. C., & Gounaris, C. E. (2021). A generalized cutting-set approach for nonlinear robust optimization in process systems engineering applications. AIChE Journal, 67(5). https://doi.org/10.1002/aic.17175
2021 Publications Journal Articles/Technical Reports
Serial advanced-multi-step nonlinear model predictive control using an extended sensitivity method
Kim, Y., Thierry, D. M., & Biegler, L. T. (2020). Serial advanced-multi-step nonlinear model predictive control using an extended sensitivity method. J. Process Control, 96, 82-93. https://doi.org/10.1016/j.jprocont.2020.11.002
2020 Publications Journal Articles/Technical Reports
A discussion on practical considerations with sparse regression methodologies
Sarwar, O., Sauk, B., & Sahinidis, N. V. (2020). A discussion on practical considerations with sparse regression methodologies. Statistical Science, 35(4) 593-601. https://doi.org/10.48550/arXiv.2011.09362
2020 Publications Journal Articles/Technical Reports
Model order reduction in chemical process optimization
Eason, J. P., & Biegler, L. T. (2020). Model order reduction in chemical process optimization. In Benner, P., Grivet-Talocia, S., Quarteroni, A., Rozza, G., Schilders, W., & Silveira, L. M. (Eds.), Model Order Reduction. Volume 3: Applications, (pp. 1-32). De Gruyter. https://doi.org/10.1515/9783110499001-001
2020 Publications Book/Book Chapter
Nonlinear optimization strategies for process separations and process intensification
Biegler, L.T. (2020). Nonlinear optimization strategies for process separations and process intensification. Chemie Ingenieur Technik, 92(7), 867-878. https://doi.org/10.1002/cite.202000014
2020 Publications Journal Articles/Technical Reports
Nonlinear model predictive control of the hydraulic fracturing process
Lin, K.-H., Eason, J. P., Yu, Z. & Biegler, L. T. (2020). Nonlinear model predictive control of the hydraulic fracturing process. IFAC-PapersOnLine, 53(2), 11428-11433. https://doi.org/10.1016/j.ifacol.2020.12.579
2020 Publications Journal Articles/Technical Reports
Sensitivity-assisted multistage nonlinear model predictive control with online scenario adaptation.
Thombre, M., Yu, Z., Jaeschke, J., & Biegler, L.T. (2021). Sensitivity-assisted multistage nonlinear model predictive control with online scenario adaptation. Computers and Chemical Engineering, 148. https://doi.org/10.1016/j.compchemeng.2021.107269
2020 Publications Journal Articles/Technical Reports
A framework for the optimization of chemical looping combustion processes
Okoli, C. O., Ostace, A., Nadgouda, S., Lee, A., Tong, A., Burgard, A. P., Bhattacharyya, D., & Miller, D.C. (2020). A framework for the optimization of chemical looping combustion processes. Powder Technology, 365, 149-162. https://doi.org/10.1016/j.powtec.2019.04.035
2020 Publications Journal Articles/Technical Reports
A multi-objective reactive distillation optimization model for Fischer–Tropsch synthesis
Zhang, Y., He, N., Masuku, C. M., & Biegler, L. T. (2020). A multi-objective reactive distillation optimization model for Fischer–Tropsch synthesis. Computers & Chemical Engineering, 135. https://doi.org/10.1016/j.compchemeng.2020.106754
2020 Publications Journal Articles/Technical Reports
Dynamic optimization of natural gas pipeline networks with demand and composition uncertainty
Liu, K., Biegler, L. T., Zhang, B., & Chen, Q. (2020). Dynamic optimization of natural gas pipeline networks with demand and composition uncertainty. Chemical Engineering Science, 215. https://doi.org/10.1016/j.ces.2019.115449
2020 Publications Journal Articles/Technical Reports
Dynamic optimization for gas blending in pipeline networks with gas interchangeability control
Liu, K., Kazi, S. R., Biegler, L. T., Zhang, B., & Chen, Q. (2020). Dynamic optimization for gas blending in pipeline networks with gas interchangeability control. AIChE Journal, 66(5). https://doi.org/10.1002/aic.16908
2020 Publications Journal Articles/Technical Reports
An overview of process intensification methods
Sitter, S., Chen, Q., & Grossmann, I. E. (2019). An overview of process intensification methods. Current Opinion in Chemical Engineering, 25, 87-94. https://doi.org/10.1016/j.coche.2018.12.006
2019 Publications Journal Articles/Technical Reports
Parallel cyclic reduction decomposition for dynamic optimization problems
Wan, W., Eason, J. P., Nicholson, B., & Biegler, L. T. (2019). Parallel cyclic reduction decomposition for dynamic optimization problems. Computers and Chemical Engineering, 120, 54-69. https://doi.org/10.1016/j.compchemeng.2017.09.023
2019 Publications Journal Articles/Technical Reports
Modern modeling paradigms using generalized disjunctive programming
Chen, Q., & Grossmann, I. E. (2019). Modern modeling paradigms using generalized disjunctive programming. Processes, 7(11), 839. https://doi.org/10.3390/pr7110839
2019 Publications Journal Articles/Technical Reports
Optimization-based design of active and stable nanostructured surfaces
C.L. Hanselman, W. Zhong, K. Tran, Z.W. Ulissi and C.E. Gounaris (2019). Optimization-based design of active and stable nanostructured surfaces. The Journal of Physical Chemistry C, 123(48), 29209-29218. https://doi.org/10.1021/acs.jpcc.9b08431
2019 Publications Journal Articles/Technical Reports
Nonlinear programming formulations for nonlinear and economic model predictive control
Yu, M., Griffith, D. W., & Biegler, L. T. (2019). Nonlinear programming formulations for nonlinear and economic model predictive control. In Raković, S., Levine, W. (Eds.) Handbook of Model Predictive Control. Control Engineering. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-77489-3_20
2019 Publications Book/Book Chapter
Automated learning of chemical reaction networks
Wilson, Z. & Sahinidis, N. V. (2019). Automated learning of chemical reaction networks. Computers & Chemical Engineering, 127, 88-98. https://doi.org/10.1016/j.compchemeng.2019.05.020
2019 Publications Journal Articles/Technical Reports
Optimization opportunities in product development: perspective from a manufacturing company
Biegler, L. T., & Jacobson, C. A. (2019). Optimization opportunities in product development: perspective from a manufacturing company. In Garcia Muñoz, S., Laird, C. D., Realff, M. J. (Eds.), Computer Aided Chemical Engineering, Proceedings of the 9th International Conference on Foundations of Computer-Aided Process Design, 47, 275-286. https://doi.org/10.1016/B978-0-12-818597-1.50044-8
2019 Publications Journal Articles/Technical Reports
PARMEST: Parameter estimation via Pyomo
Klise, K., Nicholson, B., Straid, A., & Woodruff, D. L. (2019). PARMEST: Parameter estimation via Pyomo. Computer Aided Chemical Engineering, 47, 41-46. https://doi.org/10.1016/B978-0-12-818597-1.50007-2
2019 Publications Journal Articles/Technical Reports
Dynamic optimization of natural gas network with rigorous thermodynamics under uncertainty
Liu, K., Biegler, L. T., Zhang, B. & Chen Q. (2019). Dynamic optimization of natural gas network with rigorous thermodynamics under uncertainty. In Garcia Muñoz, S., Laird, C. D., Realff, M. J. (Eds.), Computer Aided Chemical Engineering, Proceedings of the 9th International Conference on Foundations of Computer-Aided Process Design, 47, (pp. 317-322). https://doi.org/10.1016/B978-0-12-818597-1.50050-3
2019 Publications Journal Articles/Technical Reports
A framework for optimizing oxygen vacancy formation in doped perovskites
Hanselman, C. L., Tafen, D. Y., Alfonso, D. R., Lekse, J. W., Matranga, C., Miller, D. C., & Gounaris, C.E. (2019). A framework for optimizing oxygen vacancy formation in doped perovskites. Computers & Chemical Engineering, 126, 168-177. https://doi.org/10.1016/j.compchemeng.2019.03.033
2019 Publications Journal Articles/Technical Reports
Effective Generalized Disjunctive Program optimization models for modular process synthesis
Chen, Q. & Grossmann, I.E. (2019). Effective Generalized Disjunctive Program optimization models for modular process synthesis. Ind. Eng. Chem. Res. 58(15), 5873-5886. https://doi.org/10.1021/acs.iecr.8b04600
2019 Publications Journal Articles/Technical Reports
Kaibel column: Modeling, optimization, and conceptual design of multi-product dividing wall columns.
Rawlings, E.S., Chen, Q., Grossmann, I. E., & Caballero, J.A. (2019). Kaibel column: Modeling, optimization, and conceptual design of multi-product dividing wall columns. Comp. Chem. Eng. 125, 31-39. https://doi.org/10.1016/j.compchemeng.2019.03.006
2019 Publications Journal Articles/Technical Reports
Dynamic real-time optimization for a CO2 capture process
Thierry, D. M., & Biegler, L. T. (2019). Dynamic real-time optimization for a CO2 capture process. AIChE Journal, 65(7) 1-11. https://doi.org/10.1002/aic.16511
2019 Publications
Large-scale optimization formulations and strategies for nonlinear model predictive control
Biegler, L. T., & Thierry, D. M. (2018). Large-scale optimization formulations and strategies for nonlinear model predictive control. IFAC-Papers OnLine, 51(20), 1–15. https://doi.org/10.1016/j.ifacol.2018.10.167
2018 Publications Journal Articles/Technical Reports
Benchmarking ADMM in nonconvex NLPs
Rodriguez, J.S., Nicholson, B., Laird, C.D., & Zavala, V.M. (2018). Benchmarking ADMM in nonconvex NLPs. Computers & Chemical Engineering, 119, 315-325. https://doi.org/10.1016/j.compchemeng.2018.08.036
2018 Publications Journal Articles/Technical Reports
GPU parameter tuning for tall and skinny dense linear least squares problems
Sauk, B., Ploskas, N., & Sahinidis, N. (2018). GPU parameter tuning for tall and skinny dense linear least squares problems. Optimization Methods and Software, 35(3), 638-660. https://doi.org/10.1080/10556788.2018.1527331
2018 Publications Journal Articles/Technical Reports
Deterministic electric power infrastructure planning: Mixed-integer programming model and nested decomposition algorithm
Lara, C.L., Mallapragada, D., Papageorgiou D., Venkatesh, A., & Grossmann, I. E. (2018). Deterministic electric power infrastructure planning: Mixed-integer programming model and nested decomposition algorithm. European Journal of Operational Research, 271(3), 1037-1054. https://doi.org/10.1016/j.ejor.2018.05.039
2018 Publications Journal Articles/Technical Reports
A framework for modeling and optimizing dynamic systems under uncertainty
Nicholson, B.L., & Siirola, J. D. (2018). A framework for modeling and optimizing dynamic systems under uncertainty. Computers & Chemical Engineering, 114, 81-88. https://doi.org/10.1016/j.compchemeng.2017.11.003
2018 Publications Journal Articles/Technical Reports
Effective GDP optimization models for modular process synthesis
Chen, Q., & Grossmann, I.E. (2018). Effective GDP optimization models for modular process synthesis. Current Opinion in Chemical Engineering. http://egon.cheme.cmu.edu/Papers/Chen_Qi_modular_updated.pdf
2018 Publications Journal Articles/Technical Reports
Pyomo.dae: A modeling and automatic discretization framework for optimization with differential and algebraic equations
Nicholson, B.L., Siirola, J. D., Watson, J.-P., Zavala, V. M., & Biegler, L.T. (2018). Pyomo.dae: A modeling and automatic discretization framework for optimization with differential and algebraic equations. Math Programming Computation, 10, 187-223. https://doi.org/10.1007/s12532-017-0127-0
2018 Publications Journal Articles/Technical Reports
A Framework for Modeling and Optimizing Dynamic Systems Under Uncertainty
Nicholson, B.L. and J.D. Siirola, A Framework for Modeling and Optimizing Dynamic Systems Under Uncertainty. In press, special FOCAPO/CPC issue of Computers & Chemical Engineering (2017)
2017 Publications Journal Articles/Technical Reports
A mathematical optimization framework for the design of nanopatterned surfaces
Hanselman, C. L., & Gounaris, C. E. (2016). A mathematical optimization framework for the design of nanopatterned surfaces. AIChE Journal, 62(9), 3250-3263. https://doi.org/10.1002/aic.15359
2016 Publications Journal Articles/Technical Reports
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- Book/Book Chapter
- Journal Articles/Technical Reports
- Peer-Reviewed Conference Proceedings
Linear Model Decision Trees as Surrogates in Optimization of Engineering Applications
Ammari, B.L., E.S. Johnson, G. Stinchfield, T.Kim, M. Bynum, W.E. Hart, J. Pulsipher, C.D. Laird, “Linear Model Decision Trees as Surrogates in Optimization of Engineering Applications”, Computers and Chemical Engineering, Volume 178, October 2023, 108347.
2023 Publications Journal Articles/Technical Reports
Beyond price taker: Conceptual design and optimization of integrated energy systems using machine learning market surrogates
Jalving, J., Ghouse, J., Cortes, N., Gao, X., Knueven, B., Agi, D., Martin, S., Chen, X., Guittet, D., Tumbalam-Gooty, R., Bianchi, L., Beattie, K., Gunter, D., Siirola, J.D., Miller, D.C., Dowling, A.W. Beyond price taker: Conceptual design and optimization of integrated energy systems using machine learning market surrogates. Applied Energy. 2023. 351, 121767.
2023 Publications Journal Articles/Technical Reports
Disjunctive optimization model and algorithm for long-term capacity expansion planning of reliable power generation systems
S. Cho, J. Tovar-Facio, I. E. Grossmann, Disjunctive optimization model and algorithm for long-term capacity expansion planning of reliable power generation systems, Computers and Chemical Engineering, Volume 174, June 2023, 108243. https://doi.org/10.1016/j.compchemeng.2023.108243
2023 Publications Journal Articles/Technical Reports
A Mixed Integer Linear Programming Approach for the Design of Chemical Process Families
Stinchfield, G., Morgan, J.C., Naik, S., Biegler, L.T., Eslick, J.C., Jacobson, C., Miller, D.C., Siirola, J.D., Zamarripa, M., Zhang, C. and Zhang, Q., 2024. A mixed integer linear programming approach for the design of chemical process families. Computers & Chemical Engineering, p.108620.
2023 Publications Journal Articles/Technical Reports
Market Optimization and Technoeconomic Analysis of Hydrogen-Electricity Co-production Systems
Laky, D.J., Cortes, N.P., Eslick, J.C., Noring, A., Susarla, N., Okoli, C., Zamarripa-Perez, M.A., Allan, D., Brewer, J.H., Iyengar, A.K.S., Wang, M., Burgard, A.P., Miller, D.C., Dowling, A.W. Market Optimization and Technoeconomic Analysis of Hydrogen-Electricity Co-production Systems. To be submitted to Energy & Environmental Science.
2023 Publications Journal Articles/Technical Reports
Optimization of Process Families for Improved Deployment of Industrial Decarbonization Processes using Machine Learning Surrogates
Stinchfield, G., B.L., Ammari, J. Morgan, J. Siirola, M. Zamarripa, C.D. Laird, “Optimization of Process Families for Improved Deployment of Industrial Decarbonization Processes using Machine Learning Surrogates,” Computer Aided Chemical Engineering, Volume 52, 2023, 1331-1337.
2023 Publications Journal Articles/Technical Reports
Scalable parallel nonlinear optimization with PyNumero and Parapint
Rodriguez, J. S., Parker, R., Laird, C., Nicholson, B., Siirola, J., & Bynum, M. (2023). Scalable parallel nonlinear optimization with PyNumero and Parapint. INFORMS Journal on Computing, 35(2), 265-517. https://doi.org/10.1287/ijoc.2023.1272
2023 Publications Journal Articles/Technical Reports
A complementarity-based vapor-liquid equilibrium formulation for equation-oriented simulation and optimization
Dabadghao, V., Ghouse, J., Eslick, J., Lee, A., Burgard, A.P., Miller, D., & Biegler, L. (2023). A complementarity-based vapor-liquid equilibrium formulation for equation-oriented simulation and optimization. AIChE Journal, 69 (4). https://doi.org/10.1002/aic.18029
2023 Publications Journal Articles/Technical Reports
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Dynamic modeling and nonlinear model predictive control of a moving bed chemical looping combustion reactor
Parker, R., & Biegler, L. T. (2022). Dynamic modeling and nonlinear model predictive control of a moving bed chemical looping combustion reactor. IFAC-PapersOnLine, 55(7), 400-405. https://doi.org/10.1016/j.ifacol.2022.07.476.
2022 Publications Journal Articles/Technical Reports
An implicit function formulation for nonlinear programming with index-1 differential algebraic equation systems
Parker, R., Nicholson, B. L., Siirola, J., Laird, C. D., & Biegler, L. T. (2022). An implicit function formulation for nonlinear programming with index-1 differential algebraic equation systems. In Y. Yamashita & M. Kano (Eds.), 14th International Symposium on Process Systems Engineering (PSE2021+), Computer Aided Chemical Engineering, (Vol. 49, pp. 1141-1146). Elsevier. https://doi.org/10.1016/B978-0-323-85159-6.50190-1
2022 Publications Journal Articles/Technical Reports
Recent advances and challenges in optimization models for expansion planning of power systems and reliability optimization
Cho, S., Li, C., & Grossmann, I.E. (2022). Recent advances and challenges in optimization models for expansion planning of power systems and reliability optimization. Computers and Chemical Engineering, 165, 1079245. https://doi.org/10.1016/j.compchemeng.2022.107924
2022 Publications Journal Articles/Technical Reports
Application of an equation-oriented framework to the formulation and parameter estimation of chemical looping reaction kinetic models
Okoli, C. O., Parker, R., Chen, Y., Ostace, A., Lee, A., Bhattacharyya, D., Tong, A., Biegler, L. T., Burgard, A. P., & Miller, D. C. (2022). Application of an equation-oriented framework to the formulation and parameter estimation of chemical looping reaction kinetic models. AIChE Journal 2022, 68(10). https://doi.org/10.1002/aic.17796
2022 Publications Journal Articles/Technical Reports
Hyperparameter tuning of programs with HybridTuner
Sauk, B., & Sahinidis, N. V. (2022). Hyperparameter tuning of programs with HybridTuner. Annals of Mathematics and Artificial Intelligence, 91, 133–151. https://doi.org/10.1007/s10472-022-09793-3
2022 Publications Journal Articles/Technical Reports
Predictive modeling of an existing subcritical pulverized-coal power plant for optimization: data reconciliation, parameter estimation, and validation
Eslick, J. C., Zamarripa, M. A., Ma, J., M. Wang, M., Bhattacharya, I., Rychener, B., Pinkston, P., Bhattacharyya, D., Zitney, S. E., Burgard, A. P., & Miller, D. C. (2022). Predictive modeling of an existing subcritical pulverized-coal power plant for optimization: data reconciliation, parameter estimation, and validation. Applied Energy, 319. https://doi.org/10.1016/j.apenergy.2022.119226.
2022 Publications Journal Articles/Technical Reports
Don’t search – Solve! Process optimization modeling with IDAES
Biegler, L. T., D. C. Miller, D. C., & Okoli, C. O. (2022). Don’t search – Solve! Process optimization modeling with IDAES. In Bortz, M., & Asprion, N. (Eds.), Simulation and Optimization in Process Engineering, (pp. 33-53). Elsevier. https://doi.org/10.1016/B978-0-323-85043-8.00005-2
2022 Publications Book/Book Chapter
Technoeconomic evaluation of solid oxide fuel cell hydrogen-electricity co-generation concepts
Eslick, J., Noring, A., Susarla, N., Okoli, C., Allan, D., Wang, M., Ma, J., Zamarripa, M., Iyengar, A., & Burgard, A. (2022). Technoeconomic evaluation of solid oxide fuel cell hydrogen-electricity co-generation concepts (DOE/NETL-2023/4322). Pittsburgh, PA: National Energy Technology Laboratory, U.S. Department of Energy. https://www.osti.gov/biblio/1960782
2022 Publications
Kinetic model development and Bayesian uncertainty quantification for the complete reduction of Fe-based oxygen carriers for chemical looping combustion
Ostace, A., Chen, Y., Parker, R., Okoli, C. O., Lee, A., Tong, A., Fan, L.-S., Biegler, L. T., Burgard, A. P., Miller, D. C., Mebane, D. S., & Bhattacharyya, D. (2022). Kinetic model development and Bayesian uncertainty quantification for the complete reduction of Fe-based oxygen carriers for chemical looping combustion. Chemical Engineering Science, 252. https://doi.org/10.1016/j.ces.2022.117512
2022 Publications Journal Articles/Technical Reports
Search methods for inorganic materials crystal structure prediction
Yin, X., & Gounaris, C. E. (2022). Search methods for inorganic materials crystal structure prediction. Current Opinion in Chemical Engineering, 35. https://doi.org/10.1016/j.coche.2021.100726
2022 Publications Journal Articles/Technical Reports
Multiscale simulation of integrated energy system and electricity market interactions
Gao, X., Knueven, B., Siirola, J. D., Miller, D. C., & Dowling, A.W. (2022). Multiscale simulation of integrated energy system and electricity market interactions. Applied Energy, 316. https://doi.org/10.1016/j.apenergy.2022.119017
2022 Publications Journal Articles/Technical Reports
Design space description through adaptive sampling and symbolic computation
Zhao, F., Grossmann, I. E., García Muñoz, S., & Stamatis, S. D. (2022). Design space description through adaptive sampling and symbolic computation. AIChE Journal 2022, 68(5). https://doi.org/10.1002/aic.17604
2022 Publications Journal Articles/Technical Reports
MatOpt: A Python package for nanomaterials design using discrete optimization
Hanselman, C. L., Yin, X., Miller, D. C., & Gounaris, C. E. (2022). MatOpt: A Python package for nanomaterials design using discrete optimization. Journal of Chemical Information and Modeling, 62(2), 295-308. https://doi.org/10.1021/acs.jcim.1c00984
2022 Publications Journal Articles/Technical Reports
On representative day selection for capacity expansion planning of power systems under extreme events
Li, C., Conejo, A. J., Siirola, J. D., & Grossmann, I. E. (2022). On representative day selection for capacity expansion planning of power systems under extreme events. International Journal of Electrical Power & Energy Systems, 137. https://doi.org/10.1016/j.ijepes.2021.107697
2022 Publications Journal Articles/Technical Reports
Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems.
Li., C., Conejo, A. J., Liu, P., Omell, B. P., Siirola, J. D., & Grossmann, I. E. (2022). Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems. European Journal of Operation Research, 297(3), 1071-1082. https://doi.org/10.1016/j.ejor.2021.06.024
2022 Publications Journal Articles/Technical Reports
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HybridTuner: Tuning with hybrid derivative-free optimization initialization strategies
Sauk, B., & Sahinidis, N. V. (2021). HybridTuner: Tuning with hybrid derivative-free optimization initialization strategies. In Simos, D.E., Pardalos, P.M., & Kotsireas, I.S. (Eds.), LION 2021: Learning and Intelligent Optimization, Lecture Notes in Computer Science 12931, (pp. 379-393). https://doi.org/10.1007/978-3-030-92121-7_29
2021 Publications Journal Articles/Technical Reports
Advanced-multi-step Moving Horizon Estimation
Yeonsoo Kim, Y., Kuan-Han Lin, K.-H., Thierry, D. M., & Biegler, L. T. (2021). Advanced-multi-step Moving Horizon Estimation. IFAC-PapersOnLine, 54(3), 269-274. https://doi.org/10.1016/j.ifacol.2021.08.253
2021 Publications Journal Articles/Technical Reports
Backward stepwise elimination: Approximation guarantee, a batched GPU algorithm, and empirical investigation
Sauk, B., & Sahinidis, N. V. (2021). Backward stepwise elimination: Approximation guarantee, a batched GPU algorithm, and empirical investigation. SN Computer Science, 2. https://doi.org/10.1007/s42979-021-00788-1
2021 Publications Journal Articles/Technical Reports
Model development, validation, and part-load optimization of an MEA-based post-combustion CO2 capture process under part-load and variable capture operations
Akula, P., Eslick, J., Bhattacharyya, D., & Miller, D. C. (2021). Model development, validation, and part-load optimization of an MEA-based post-combustion CO2 capture process under part-load and variable capture operations. Industrial & Engineering Chemistry Research, 60(14), 5176–5193. https://doi.org/10.1021/acs.iecr.0c05035
2021 Publications Journal Articles/Technical Reports
A perspective on nonlinear model predictive control
Biegler, L.T. (2022). A perspective on nonlinear model predictive control. Korean Journal of Chemical Engineering, 38, 1317–1332. https://doi.org/10.1007/s11814-021-0791-7
2021 Publications Journal Articles/Technical Reports
The IDAES process modeling framework and model library—Flexibility for process simulation and optimization
Lee, A., Ghouse, J. H., Eslick, J.C., Laird, C.D., Siirola, J.D., Zamarripa, M.A., Gunter, D., Shinn, J. H., Dowling, A. W., Bhattacharyya, D., Biegler, L. T., Burgard, A. P., & Miller, D.C. (2021). The IDAES process modeling framework and model library—Flexibility for process simulation and optimization. Journal of Advanced Manufacturing and Processing, 3(3), 1-30. https://doi.org/10.1002/amp2.10095
2021 Publications Journal Articles/Technical Reports
Decomposing optimization-based bounds tightening problems via graph partitioning
Bynum, M. L., Castillo, A., Kneuven, B., Laird, C. D., Siirola, J. D., Watson, & J. P. (2021). Decomposing optimization-based bounds tightening problems via graph partitioning. Journal of Global Optimization. https://www.osti.gov/biblio/1834338
2021 Publications Journal Articles/Technical Reports
A generalized cutting-set approach for nonlinear robust optimization in process systems engineering applications
Isenberg, N.M., Akula, P., Eslick, J.C., Bhattacharyya, D., Miller, D. C., & Gounaris, C. E. (2021). A generalized cutting-set approach for nonlinear robust optimization in process systems engineering applications. AIChE Journal, 67(5). https://doi.org/10.1002/aic.17175
2021 Publications Journal Articles/Technical Reports
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Serial advanced-multi-step nonlinear model predictive control using an extended sensitivity method
Kim, Y., Thierry, D. M., & Biegler, L. T. (2020). Serial advanced-multi-step nonlinear model predictive control using an extended sensitivity method. J. Process Control, 96, 82-93. https://doi.org/10.1016/j.jprocont.2020.11.002
2020 Publications Journal Articles/Technical Reports
A discussion on practical considerations with sparse regression methodologies
Sarwar, O., Sauk, B., & Sahinidis, N. V. (2020). A discussion on practical considerations with sparse regression methodologies. Statistical Science, 35(4) 593-601. https://doi.org/10.48550/arXiv.2011.09362
2020 Publications Journal Articles/Technical Reports
Model order reduction in chemical process optimization
Eason, J. P., & Biegler, L. T. (2020). Model order reduction in chemical process optimization. In Benner, P., Grivet-Talocia, S., Quarteroni, A., Rozza, G., Schilders, W., & Silveira, L. M. (Eds.), Model Order Reduction. Volume 3: Applications, (pp. 1-32). De Gruyter. https://doi.org/10.1515/9783110499001-001
2020 Publications Book/Book Chapter
Nonlinear optimization strategies for process separations and process intensification
Biegler, L.T. (2020). Nonlinear optimization strategies for process separations and process intensification. Chemie Ingenieur Technik, 92(7), 867-878. https://doi.org/10.1002/cite.202000014
2020 Publications Journal Articles/Technical Reports
Nonlinear model predictive control of the hydraulic fracturing process
Lin, K.-H., Eason, J. P., Yu, Z. & Biegler, L. T. (2020). Nonlinear model predictive control of the hydraulic fracturing process. IFAC-PapersOnLine, 53(2), 11428-11433. https://doi.org/10.1016/j.ifacol.2020.12.579
2020 Publications Journal Articles/Technical Reports
Sensitivity-assisted multistage nonlinear model predictive control with online scenario adaptation.
Thombre, M., Yu, Z., Jaeschke, J., & Biegler, L.T. (2021). Sensitivity-assisted multistage nonlinear model predictive control with online scenario adaptation. Computers and Chemical Engineering, 148. https://doi.org/10.1016/j.compchemeng.2021.107269
2020 Publications Journal Articles/Technical Reports
A framework for the optimization of chemical looping combustion processes
Okoli, C. O., Ostace, A., Nadgouda, S., Lee, A., Tong, A., Burgard, A. P., Bhattacharyya, D., & Miller, D.C. (2020). A framework for the optimization of chemical looping combustion processes. Powder Technology, 365, 149-162. https://doi.org/10.1016/j.powtec.2019.04.035
2020 Publications Journal Articles/Technical Reports
A multi-objective reactive distillation optimization model for Fischer–Tropsch synthesis
Zhang, Y., He, N., Masuku, C. M., & Biegler, L. T. (2020). A multi-objective reactive distillation optimization model for Fischer–Tropsch synthesis. Computers & Chemical Engineering, 135. https://doi.org/10.1016/j.compchemeng.2020.106754
2020 Publications Journal Articles/Technical Reports
Dynamic optimization of natural gas pipeline networks with demand and composition uncertainty
Liu, K., Biegler, L. T., Zhang, B., & Chen, Q. (2020). Dynamic optimization of natural gas pipeline networks with demand and composition uncertainty. Chemical Engineering Science, 215. https://doi.org/10.1016/j.ces.2019.115449
2020 Publications Journal Articles/Technical Reports
Dynamic optimization for gas blending in pipeline networks with gas interchangeability control
Liu, K., Kazi, S. R., Biegler, L. T., Zhang, B., & Chen, Q. (2020). Dynamic optimization for gas blending in pipeline networks with gas interchangeability control. AIChE Journal, 66(5). https://doi.org/10.1002/aic.16908
2020 Publications Journal Articles/Technical Reports
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An overview of process intensification methods
Sitter, S., Chen, Q., & Grossmann, I. E. (2019). An overview of process intensification methods. Current Opinion in Chemical Engineering, 25, 87-94. https://doi.org/10.1016/j.coche.2018.12.006
2019 Publications Journal Articles/Technical Reports
Parallel cyclic reduction decomposition for dynamic optimization problems
Wan, W., Eason, J. P., Nicholson, B., & Biegler, L. T. (2019). Parallel cyclic reduction decomposition for dynamic optimization problems. Computers and Chemical Engineering, 120, 54-69. https://doi.org/10.1016/j.compchemeng.2017.09.023
2019 Publications Journal Articles/Technical Reports
Modern modeling paradigms using generalized disjunctive programming
Chen, Q., & Grossmann, I. E. (2019). Modern modeling paradigms using generalized disjunctive programming. Processes, 7(11), 839. https://doi.org/10.3390/pr7110839
2019 Publications Journal Articles/Technical Reports
Optimization-based design of active and stable nanostructured surfaces
C.L. Hanselman, W. Zhong, K. Tran, Z.W. Ulissi and C.E. Gounaris (2019). Optimization-based design of active and stable nanostructured surfaces. The Journal of Physical Chemistry C, 123(48), 29209-29218. https://doi.org/10.1021/acs.jpcc.9b08431
2019 Publications Journal Articles/Technical Reports
Nonlinear programming formulations for nonlinear and economic model predictive control
Yu, M., Griffith, D. W., & Biegler, L. T. (2019). Nonlinear programming formulations for nonlinear and economic model predictive control. In Raković, S., Levine, W. (Eds.) Handbook of Model Predictive Control. Control Engineering. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-77489-3_20
2019 Publications Book/Book Chapter
Automated learning of chemical reaction networks
Wilson, Z. & Sahinidis, N. V. (2019). Automated learning of chemical reaction networks. Computers & Chemical Engineering, 127, 88-98. https://doi.org/10.1016/j.compchemeng.2019.05.020
2019 Publications Journal Articles/Technical Reports
Optimization opportunities in product development: perspective from a manufacturing company
Biegler, L. T., & Jacobson, C. A. (2019). Optimization opportunities in product development: perspective from a manufacturing company. In Garcia Muñoz, S., Laird, C. D., Realff, M. J. (Eds.), Computer Aided Chemical Engineering, Proceedings of the 9th International Conference on Foundations of Computer-Aided Process Design, 47, 275-286. https://doi.org/10.1016/B978-0-12-818597-1.50044-8
2019 Publications Journal Articles/Technical Reports
PARMEST: Parameter estimation via Pyomo
Klise, K., Nicholson, B., Straid, A., & Woodruff, D. L. (2019). PARMEST: Parameter estimation via Pyomo. Computer Aided Chemical Engineering, 47, 41-46. https://doi.org/10.1016/B978-0-12-818597-1.50007-2
2019 Publications Journal Articles/Technical Reports
Dynamic optimization of natural gas network with rigorous thermodynamics under uncertainty
Liu, K., Biegler, L. T., Zhang, B. & Chen Q. (2019). Dynamic optimization of natural gas network with rigorous thermodynamics under uncertainty. In Garcia Muñoz, S., Laird, C. D., Realff, M. J. (Eds.), Computer Aided Chemical Engineering, Proceedings of the 9th International Conference on Foundations of Computer-Aided Process Design, 47, (pp. 317-322). https://doi.org/10.1016/B978-0-12-818597-1.50050-3
2019 Publications Journal Articles/Technical Reports
A framework for optimizing oxygen vacancy formation in doped perovskites
Hanselman, C. L., Tafen, D. Y., Alfonso, D. R., Lekse, J. W., Matranga, C., Miller, D. C., & Gounaris, C.E. (2019). A framework for optimizing oxygen vacancy formation in doped perovskites. Computers & Chemical Engineering, 126, 168-177. https://doi.org/10.1016/j.compchemeng.2019.03.033
2019 Publications Journal Articles/Technical Reports
Effective Generalized Disjunctive Program optimization models for modular process synthesis
Chen, Q. & Grossmann, I.E. (2019). Effective Generalized Disjunctive Program optimization models for modular process synthesis. Ind. Eng. Chem. Res. 58(15), 5873-5886. https://doi.org/10.1021/acs.iecr.8b04600
2019 Publications Journal Articles/Technical Reports
Kaibel column: Modeling, optimization, and conceptual design of multi-product dividing wall columns.
Rawlings, E.S., Chen, Q., Grossmann, I. E., & Caballero, J.A. (2019). Kaibel column: Modeling, optimization, and conceptual design of multi-product dividing wall columns. Comp. Chem. Eng. 125, 31-39. https://doi.org/10.1016/j.compchemeng.2019.03.006
2019 Publications Journal Articles/Technical Reports
Dynamic real-time optimization for a CO2 capture process
Thierry, D. M., & Biegler, L. T. (2019). Dynamic real-time optimization for a CO2 capture process. AIChE Journal, 65(7) 1-11. https://doi.org/10.1002/aic.16511
2019 Publications
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- Peer-Reviewed Conference Proceedings
Large-scale optimization formulations and strategies for nonlinear model predictive control
Biegler, L. T., & Thierry, D. M. (2018). Large-scale optimization formulations and strategies for nonlinear model predictive control. IFAC-Papers OnLine, 51(20), 1–15. https://doi.org/10.1016/j.ifacol.2018.10.167
2018 Publications Journal Articles/Technical Reports
Benchmarking ADMM in nonconvex NLPs
Rodriguez, J.S., Nicholson, B., Laird, C.D., & Zavala, V.M. (2018). Benchmarking ADMM in nonconvex NLPs. Computers & Chemical Engineering, 119, 315-325. https://doi.org/10.1016/j.compchemeng.2018.08.036
2018 Publications Journal Articles/Technical Reports
GPU parameter tuning for tall and skinny dense linear least squares problems
Sauk, B., Ploskas, N., & Sahinidis, N. (2018). GPU parameter tuning for tall and skinny dense linear least squares problems. Optimization Methods and Software, 35(3), 638-660. https://doi.org/10.1080/10556788.2018.1527331
2018 Publications Journal Articles/Technical Reports
Deterministic electric power infrastructure planning: Mixed-integer programming model and nested decomposition algorithm
Lara, C.L., Mallapragada, D., Papageorgiou D., Venkatesh, A., & Grossmann, I. E. (2018). Deterministic electric power infrastructure planning: Mixed-integer programming model and nested decomposition algorithm. European Journal of Operational Research, 271(3), 1037-1054. https://doi.org/10.1016/j.ejor.2018.05.039
2018 Publications Journal Articles/Technical Reports
A framework for modeling and optimizing dynamic systems under uncertainty
Nicholson, B.L., & Siirola, J. D. (2018). A framework for modeling and optimizing dynamic systems under uncertainty. Computers & Chemical Engineering, 114, 81-88. https://doi.org/10.1016/j.compchemeng.2017.11.003
2018 Publications Journal Articles/Technical Reports
Effective GDP optimization models for modular process synthesis
Chen, Q., & Grossmann, I.E. (2018). Effective GDP optimization models for modular process synthesis. Current Opinion in Chemical Engineering. http://egon.cheme.cmu.edu/Papers/Chen_Qi_modular_updated.pdf
2018 Publications Journal Articles/Technical Reports
Pyomo.dae: A modeling and automatic discretization framework for optimization with differential and algebraic equations
Nicholson, B.L., Siirola, J. D., Watson, J.-P., Zavala, V. M., & Biegler, L.T. (2018). Pyomo.dae: A modeling and automatic discretization framework for optimization with differential and algebraic equations. Math Programming Computation, 10, 187-223. https://doi.org/10.1007/s12532-017-0127-0
2018 Publications Journal Articles/Technical Reports
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A Framework for Modeling and Optimizing Dynamic Systems Under Uncertainty
Nicholson, B.L. and J.D. Siirola, A Framework for Modeling and Optimizing Dynamic Systems Under Uncertainty. In press, special FOCAPO/CPC issue of Computers & Chemical Engineering (2017)
2017 Publications Journal Articles/Technical Reports
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- Book/Book Chapter
- Journal Articles/Technical Reports
- Peer-Reviewed Conference Proceedings
A mathematical optimization framework for the design of nanopatterned surfaces
Hanselman, C. L., & Gounaris, C. E. (2016). A mathematical optimization framework for the design of nanopatterned surfaces. AIChE Journal, 62(9), 3250-3263. https://doi.org/10.1002/aic.15359
2016 Publications Journal Articles/Technical Reports
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- Conference Paper
- Conference Presentation
- Peer-Reviewed Conference Proceedings
A Generalized Disjunctive Programming Formulation for Generation and Transmission Expansion Planning
Skolfield, J. K., Siirola, J., “A Generalized Disjunctive Programming Formulation for Generation and Transmission Expansion Planning,” INFORMS Annual Conference, Phoenix, AZ.
2024 Presentations Conference Presentation
The Impact of Representative Time Periods on The Long-Term Expansion Planning of Power Systems Considering Battery Degradation and Replacement
Tovar-Facio J., Cho S., Grossmann I.E., Ochoa-Barragan R., Ponce-Ortega J.M., “The Impact of Representative Time Periods on The Long-Term Expansion Planning of Power Systems Considering Battery Degradation and Replacement,” Abstract accepted to the joint conference of the European Symposium on Computer Aided Process Engineering (ESCAPE) and Process Systems Engineering (PSE) 2024.
2024 Presentations Conference Presentation
NMPC for Mode-switching Operation of Reversible Solid Oxide Cell Systems
Li, M., D.A. Allan, L.T. Biegler, D. Bhattacharyya, V. Dabadghao, N. Giridhar, and S.E. Zitney, “NMPC for Mode-switching Operation of Reversible Solid Oxide Cell Systems”. Submitted to Foundations of Computer Aided Process Design (FOCAPD 2024), Breckenridge, CO, July 14-18 (2024).
2024 Presentations Peer-Reviewed Conference Proceedings
First-principles Equation Oriented Modeling of Carbon Capture Systems
Allan, D.A., A. Ostace, A. Lee, B. Paul, A. Deshpande, M.A. Zamarripa, J.C. Morgan, and B.P. Omell, “First-principles Equation Oriented Modeling of Carbon Capture Systems”. Submitted to Foundations of Computer Aided Process Design (FOCAPD 2024), Breckenridge, CO, July 14-18 (2024).
2024 Presentations Peer-Reviewed Conference Proceedings
Optimization of Solid Oxide Cell Systems Accounting for Long-Term Performance and Health Degradation
Giridhar, N., D. Bhattacharyya, D.A. Allan, S.E. Zitney, M. Li, and L.T. Biegler, “Optimization of Solid Oxide Cell Systems Accounting for Long-Term Performance and Health Degradation”. Submitted to Foundations of Computer Aided Process Design (FOCAPD 2024), Breckenridge, CO, July 14-18 (2024).
2024 Presentations Peer-Reviewed Conference Proceedings
IDAES-PSE Software Tools for Optimizing Energy Systems and Market Interactions
Laky, D., R. Tumbalam Gooty, T. Jaffe, M. Holly, A. Atia, X. Chen, and A.W. Dowling, “IDAES-PSE Software Tools for Optimizing Energy Systems and Market Interactions”. Submitted to Foundations of Computer Aided Process Design (FOCAPD 2024), Breckenridge, CO, July 14-18 (2024).
2024 Presentations Peer-Reviewed Conference Proceedings
Optimal Design Approaches for Cost-Effective Manufacturing and Deployment of Chemical Process Families with Economies of Numbers
Stinchfield, G., S. Jan, J.C. Morgan, M. Zamarripa, and C.D Laird, “Optimal Design Approaches for Cost-Effective Manufacturing and Deployment of Chemical Process Families with Economies of Numbers”. Submitted to Foundations of Computer Aided Process Design (FOCAPD 2024), Breckenridge, CO, July 14-18 (2024).
2024 Presentations Peer-Reviewed Conference Proceedings
Model Diagnostics for Equation Oriented Models: Roadblocks and the Path Forward
Lee, A.L., R.B. Parker, S. Poon, D. Gunter, A.W. Dowling, B. Nicholson, “Model Diagnostics for Equation Oriented Models: Roadblocks and the Path Forward”. Accepted to Foundations of Computer Aided Process Design (FOCAPD 2024), Breckenridge, CO, July 14-18 (2024).
2024 Presentations Peer-Reviewed Conference Proceedings
Progressive Hedging Decomposition for Solutions of Large-Scale Process Family Design Problems
Georgia Stinchfield, Jean-Paul Watson, and Carl D. Laird, “Progressive Hedging Decomposition for Solutions of Large-Scale Process Family Design Problems”, to appear in Proceedings of the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24), June 2-6, 2024, Florence, Italy.
2024 Presentations Peer-Reviewed Conference Proceedings
IDAES Integrated Platform for Multi-scale Modeling and Optimization
Burgard, A.P. and D. Bhattacharyya. “IDAES Integrated Platform for Multi-scale Modeling and Optimization,” 2024 FECM/NETL Spring R&D Review Meeting, Pittsburgh, PA, April 2024.
2024 Presentations Conference Presentation
IDAES and Supported Projects
Burgard, A.P. “IDAES and Supported Projects,” FECM Technology Assessment Modeler’s Workshop, Morgantown, WV, April, 2024.
2024 Presentations Conference Presentation
Economies of Numbers Formulations for Optimal Process Family Design of Carbon Capture Systems
Stinchfield, G., J.C. Morgan, M.A. Zamarripa, C.D. Laird. “Economies of Numbers Formulations for Optimal Process Family Design of Carbon Capture Systems.” AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Optimal Operation of Solid Oxide Electrolysis Cell Considering Long Term Physical and Chemical Degradation and System Performance
Giridhar, N., Q.M. Le, D. Bhattacharyya, D.A. Allan, and S.E. Zitney, “Optimal Operation of Solid Oxide Electrolysis Cell Considering Long Term Physical and Chemical Degradation and System Performance,” AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Dynamic Modeling of the Synergistic Effects of Chemical and Thermo-Mechanical Degradation of Solid Oxide Cells
Giridhar, N., Q.M. Le, D. Bhattacharyya, D.A. Allan, and S.E. Zitney, “Dynamic Modeling of the Synergistic Effects of Chemical and Thermo-Mechanical Degradation of Solid Oxide Cells,” AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Optimization of Infrastructure Planning of Reliable and Carbon-neutral Power Systems: Application to San Diego County
Cho, S., J. Tovar-Facio, I.E. Grossmann, B.P. Omell, C.D. McLean, R. Tumbalam-Gooty, P.A. Tominac, A.P. Burgard, J.D. Siirola, J. Shinn, “Optimization of Infrastructure Planning of Reliable and Carbon-neutral Power Systems: Application to San Diego County,” AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Augmented Control Using Reinforcement Learning and Conventional Process Control
Beahr, D., D. Bhattacharyya, D.A. Allan, and S.E. Zitney, “Augmented Control Using Reinforcement Learning and Conventional Process Control,” AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Mixed-Integer Programming Representations of Linear Model Decision Tree Surrogates
Ammari, B.L., E.S. Johnson, G. Stinchfield, T. Kim, M. Bynum, W.E. Hart, J. Pulsipher, C.D. Laird, “Mixed-Integer Programming Representations of Linear Model Decision Tree Surrogates”, AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity
Dowling, A., “Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity,” AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Learning to Branch with Interpretable Machine Learning Models
Bayramoglu, S., G. Nemhauser, and N. Sahinidis, “Learning to Branch with Interpretable Machine Learning Models”, 2023 INFORMS Annual Meeting, Phoenix, AZ, October 15-18, 2023.
2023 Presentations Conference Presentation
Multi-scale Modeling and AI/ML Tools for the Optimization of Advanced Energy Systems
S. Zitney, “Multi-scale Modeling and AI/ML Tools for the Optimization of Advanced Energy Systems”, SAMI Tech Talk, Aug 16, 2023.
2023 Presentations Conference Presentation
Optimization model for expansion planning of reliable and resilient power systems
Cho, J. Tovar-Facio, I. E. Grossmann, “Optimization model for expansion planning of reliable and resilient power systems”, The 23rd Conference of the International Federation of Operational Research Societies (IFORS2023), Santiago, Chile, July 10-14, 2023.
2023 Presentations Conference Presentation
Beyond Price Taker: Using Machine Learning Surrogate Models to Optimization Electricity and Hydrogen Co-Production in Wholesale Energy Markets
Dowling, A.W., Beyond Price Taker: Using Machine Learning Surrogate Models to Optimization Electricity and Hydrogen Co-Production in Wholesale Energy Markets, Institution of Chemical Engineers (IChemE) Invited Webinar, July 6, 2023
2023 Presentations Conference Presentation
Learning to Branch with Interpretable Machine Learning Models
Bayramoglu, S., G. Nemhauser, and N. Sahinidis, “Learning to Branch with Interpretable Machine Learning Models”, Poster presented at the 24th Conference on Integer Programming and Combinatorial Optimization (IPCO XXIV), Madison, Wisconsin, June 21-23, 2023.
2023 Presentations Conference Paper
Optimization of Process Families for Deployment of Carbon Capture Processes using Machine Learning Surrogates
Stinchfield, G., B.L. Ammari, J.C. Morgan, J.D. Siirola, M.A. Zamarripa, C.D. Laird, “Optimization of Process Families for Deployment of Carbon Capture Processes using Machine Learning Surrogates”, 33rd Annual European Symposium on Computer-Aided Process Engineering (ESCAPE), Athens, Greece, June 18-21, 2023. (Won the best presentation award from 200+ presentations.)
2023 Presentations Conference Presentation
Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity, Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity
Dowling, A.W., “Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity, Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity”, Hydrogen Program Annual Merit Review, Arlington, VA, June 8, 2023.
2023 Presentations Conference Presentation
Technoeconomic Evaluation of SOFC/SOEC-based Integrated Energy Systems for the Co-Production of Electricity and Hydrogen
Burgard, A.P., “Technoeconomic Evaluation of SOFC/SOEC-based Integrated Energy Systems for the Co-Production of Electricity and Hydrogen”, Poster shown at Hydrogen Program Annual Merit Review, Arlington, VA, June 8, 2023.
2023 Presentations Conference Paper
Optimization model for expansion planning of reliable and resilient power systems under extreme scenarios
Cho, I. E. Grossmann, “Optimization model for expansion planning of reliable and resilient power systems under extreme scenarios”, 11th World Congress of Chemical Engineering (WCCE11), Buenos Aires, Argentina, June 4-8, 2023.
2023 Presentations Conference Presentation
Optimal Design Approaches for Rapid, Cost-Effective Manufacturing and Deployment of Chemical Processes
Stinchfield, G., J.C. Morgan, M. Zamarripa, C.D. Laird, “Optimal Design Approaches for Rapid, Cost-Effective Manufacturing and Deployment of Chemical Processes”, Poster presented at 2023 Fossil Energy and Carbon Management (FECM)/NETL Spring R&D Project Review Meeting, Pittsburgh, PA, April 18-20, 2023.
2023 Presentations Conference Paper
Physical and Chemical Degradation Modeling of Solid Oxide Cells
Giridhar, N., M. Le, D.A. Allan, D. Bhattacharyya, and S.E. Zitney, “Physical and Chemical Degradation Modeling of Solid Oxide Cells,” Poster presented at 2023 Fossil Energy and Carbon Management (FECM)/NETL Spring R&D Project Review Meeting, Pittsburgh, PA, April 18-20, 2023.
2023 Presentations Conference Paper
Multi-scale Modeling and Optimization Using IDAES
Burgard, A., E. Zitney, and B.P. Omell, “Multi-scale Modeling and Optimization Using IDAES,” 2023 Fossil Energy and Carbon Management (FECM)/NETL Spring R&D Project Review Meeting, Pittsburgh, PA, April 18-20, 2023.
2023 Presentations Conference Presentation
NMPC for setpoint tracking operation of a solid oxide electrolysis cell system
Allan, D. A., Dabadghao, V., Li, M., Eslick, J. C., Ma, J., Bhattacharyya, D., Zitney, S. E., and Biegler, L. T. (2023, January 8-12). NMPC for setpoint tracking operation of a solid oxide electrolysis cell system [Paper presentation]. Foundations of Computer Aided Process Operations / Chemical Process Control (FOCAPO/CPC 2023), San Antonio, TX. https://www.osti.gov/biblio/1964151
2023 Presentations Conference Paper
Technoeconomic analysis and optimization of low carbon, reforming-based integrated energy systems for the co-production of hydrogen and power
Wang, M., Ma, J., Lewis, E., Myles, P., Brewer, J., Keairns, D., Burgard, A., & Miller, D. (2022, November 13-18). Technoeconomic analysis and optimization of low carbon, reforming-based integrated energy systems for the co-production of hydrogen and power [Conference presentation]. 2022 AICHE Annual Meeting, Phoenix, AZ.
2022 Presentations Conference Presentation
Multiscale design, operations and control optimization of integrated energy systems considering energy market interactions
Dowling, A. W. (2022, November 9). Multiscale design, operations and control optimization of integrated energy systems considering energy market interactions [Conference presentation]. Chemical and Biological Engineering Department Fall Seminar, Illinois Institute of Technology, Chicago, IL.
2022 Presentations Conference Presentation
Multiscale design, operations and control optimization of integrated energy systems considering energy market interactions
Dowling, A. W. (2022, October 27). Multiscale design, operations and control optimization of integrated energy systems considering energy market interactions [Conference presentation]. Instituto Tecnológico de Celaya Graduate Seminar, Virtual.
2022 Presentations Conference Presentation
Optimal design formulations for families of similar processes with applications in energy systems
Stinchfield, G., Zamarripa, M.A., Siirola, J.D., Laird, C.D. (2022, October 16). Optimal design formulations for families of similar processes with applications in energy systems [Conference presentation]. INFORMs Annual Meeting, Indianapolis, IN.
2022 Presentations Conference Presentation
An optimization model for expansion planning of reliable power generation systems
Cho, S. & Grossmann, I.E. (2022). An optimization model for expansion planning of reliable power generation systems. In L. Montastruc & S. Negny (Eds.), 32nd European symposium on Computer Aided Process Engineering (ESCAPE32), Computer-Aided Chemical Engineering, 51 (pp 841-846). Elsevier. https://doi.org/10.1016/B978-0-323-95879-0.50141-7
2022 Presentations Conference Paper
An optimization model for expansion planning of reliable power generation systems
Cho, S. & Grossmann, I. E. (2022). An optimization model for the design and operation of reliable power generation systems. In Y. Yamashita & M. Kano (Eds.), 14th International Symposium on Process Systems Engineering (PSE2021+), Computer Aided Chemical Engineering, 49 (pp. 709-714). Elsevier. https://doi.org/10.1016/B978-0-323-85159-6.50118-4
2022 Presentations Conference Paper
Estimating energy market schedules using historical price data
Cortes, N.P., Gao, X., Knueven, B. & Dowling, A.W. (2022) Estimating energy market schedules using historical price data. In Y. Yamashita & M. Kano (Eds.), 14th International Symposium on Process Systems Engineering (PSE2021+), Computer Aided Chemical Engineering, 49 (pp. 517-522). Elsevier. https://doi.org/10.1016/B978-0-323-85159-6.50086-5
2022 Presentations Conference Paper
Co-optimizing the design and operation strategy of solid oxide fuel cell-based hydrogen-electricity co-production systems
Cortes, N.C., Eslick, J. C., Noring, A., Susarla, N., Okoli, C. O., Zamarripa-Perez, M. A., Iyengar, A., Burgard, A. P., Miller, D. C., Allan, D., & Dowling., A. W. (2022, July 25-28). Co-optimizing the design and operation strategy of solid oxide fuel cell-based hydrogen-electricity co-production systems [Poster presentation]. The International Conference on Continuous Optimization (ICCOPT), Lehigh University, Bethlehem, PA.
2022 Presentations Conference Presentation
A multi-scale modeling paradigm for energy system operation and design
Gao, X., & Dowling, A. W. (2021, November 7-11). A multi-scale modeling paradigm for energy system operation and design [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/182e-ow-multi-scale-modeling-for-energy-paradigm-energy-system-operation-and-design
2021 Presentations Conference Paper
Design centering through derivative-free optimization
Zhao, F., Grossmann, I. E., Garcia-Munoz, S., & Stamatis, S. D. (2021, November 7-11). Design centering through derivative-free optimization [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA.
2021 Presentations Conference Paper
Diagnostic tools for nonlinear algebraic models of dynamic chemical processes in Pyomo.Dae
Parker, R., Nicholson, B., Siirola, J., & Biegler L. T. (2021, November 7-11). Diagnostic tools for nonlinear algebraic models of dynamic chemical processes in Pyomo.Dae [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.osti.gov/servlets/purl/1897361
2021 Presentations Conference Paper
Nonlinear model predictive control simulations of gas-solid reactors for chemical looping combustion of methane
Parker, R., & Biegler, L. T. (2021, November 7-11). Nonlinear model predictive control simulations of gas-solid reactors for chemical looping combustion of methane [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/492f-nonlinear-model-predictive-control-simulations-gas-solid-reactors-chemical-looping-combustion
2021 Presentations Conference Paper
On representative day selection for capacity expansion planning of power systems under extreme events
Li, C., Conejo, A. J., Siirola, J., & Grossmann, I. E. (2021, November 7-11). On representative day selection for capacity expansion planning of power systems under extreme events [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/182c-on-representative-day-selection-capacity-expansion-planning-power-systems-under-extreme-events
2021 Presentations Conference Paper
Regularized subsets: A framework for high-dimensional linear regression with noisy data and optional constraints
Sarwar, O. & Sahinidis, N. V. (2021, November 7-11). Regularized subsets: A framework for high-dimensional linear regression with noisy data and optional constraints [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/415c-regularized-subsets-framework-high-dimensional-linear-regression-noisy-data-and-optional
2021 Presentations Conference Paper
Rate-based dynamic modeling and optimization of an amine-based carbon capture unit for flexible operation
Akula, P., Eslick, J., Bhattacharyya, D., & Miller, D. C. (2021, November 7-11). Rate-based dynamic modeling and optimization of an amine-based carbon capture unit for flexible operation [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/418g-rate-based-dynamic-modeling-and-optimization-amine-based-carbon-capture-unit-flexible-operation
2021 Presentations Conference Paper
Conceptual design via superstructure optimization in advanced energy systems using IDAES
Rawlings, E., Susarla, N., Ghouse, J., Laird, C., Zamarripa, M., Bynum, M., Siirola, J., & Miller, D. (2021, November 7-11). Conceptual design via superstructure optimization in advanced energy systems using IDAES [Conference presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://doi.org/10.2172/1899680
2021 Presentations Conference Presentation
Toward future energy generation systems: Multi-scale optimization with market interactions
Jalving, J., Ghouse, J., Knueven, B., Siirola, J., Dowling, A. W., & Miller, D.C. (2021, November 7-11). Toward future energy generation systems: Multi-scale optimization with market interactions [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/418e-toward-future-energy-generation-systems-multi-scale-optimization-market-interactions
2021 Presentations Conference Paper
A multi-scale modeling paradigm for Integrated Energy System operation and design
Gao, X., & Dowling, A.W. (2021, November 7- 11). A multi-scale modeling paradigm for Integrated Energy System operation and design [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/29e-multi-scale-modeling-paradigm-energy-system-operation-and-design
2021 Presentations Conference Paper
Towards process-materials co-optimization: automatic generation of optimizable MOF structure-function relationships
Yin, X., & Gounaris, C. E. (2021, November 7-11). Towards process-materials co-optimization: automatic generation of optimizable MOF structure-function relationships [Conference presentation]. AIChE 2021 Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/582f-towards-process-materials-co-optimization-automatic-generation-optimizable-mof-structure
2021 Presentations Conference Presentation
New features and comprehensive benchmarking study of the Pyomo robust optimization solver
Isenberg, N. M., Gounaris, C. E., & Siirola, J. D. (2021, November 7-11). New features and comprehensive benchmarking study of the Pyomo robust optimization solver. 2021 AIChE Annual Meeting, Boston, MA.
2021 Presentations Conference Presentation
Optimization workflows to quantify the resource-grid interactions in wholesale energy markets
Gao, X., Cortes, N., & Dowling, A.W. (2021, October 24-27). Optimization workflows to quantify the resource-grid interactions in wholesale energy markets [Conference presentation]. INFORMS Annual Meeting, Anaheim, CA. https://www.informs.org/academy/conferences/informs-annual-meeting/2021/proceeding/paper/182r-or-workflows-to-quantify-resource-grid-resource-interactions-in-wholesale-energy-markets
2021 Presentations Conference Paper
A comprehensive performance study of the Pyomo Robust Optimization Solver (PyROS)
Isenberg, N. M., Siirola, J. D., & Gounaris, C. E. (2021, October 24-27). A comprehensive performance study of the Pyomo Robust Optimization Solver (PyROS) [Conference presentation]. 2021 INFORMS Annual Meeting, Anaheim, CA.
2021 Presentations Conference Presentation
IES task 1.0: Design of flexible dynamic energy systems
Bynum, M., Deshpande, A., Siirola, J., Zitney, S.E., & Grossmann, I. (2021, October 14). IES task 1.0: Design of flexible dynamic energy systems [Conference presentation.] Stakeholder Meeting, Virtual. https://www.conference.org/academy/conferences/conference-presentation-stakeholder/2021/proceeding/paper/182f-es-task-Design-of-dynamic-energy-task-of-flexible-dynamic-energy-systems
2021 Presentations Conference Presentation
IDAES enterprise: Generation expansion planning with enhanced requirements for capacity adequacy considering renewable intermittency
Liu, P., Omell, B., Li, C., & Grossmann, I. (2021, July 26-29). IDAES enterprise: Generation expansion planning with enhanced requirements for capacity adequacy considering renewable intermittency [Conference presentation]. The 45th International Technical Conference on Clean Energy, Clearwater, FL.
2021 Presentations Conference Presentation
Formulation and parameter estimation of chemical looping reaction kinetic models using IDAES
Okoli, C., Ostace, A., Lee, A., Biegler, L. T., Parker, R., Tong, A., Chen, Y.-Y., Bhattacharyya, D., Burgard, A. P., & Miller, D. C. (2021, July 26-29). Formulation and parameter estimation of chemical looping reaction kinetic models using IDAES [Conference presentation]. The 45th International Technical Conference on Clean Energy, Clearwater, FL.
2021 Presentations Conference Presentation
IDAES dynamic power plant unit model library: Analyzing boiler health during cycling operations
Zamarripa, M., Ma, J., Minh, Q., Bhattacharyya, D., Eslick, J., Wang, M., Zitney, S. E., Burgard, A., & Miller, D. C. (2021, July 26-29). IDAES dynamic power plant unit model library: Analyzing boiler health during cycling operations [Conference presentation]. The 45th International Technical Conference on Clean Energy, Clearwater, FL.
2021 Presentations Conference Presentation
Conceptual design of molten salt storage system for super-critical power plants
Susarla, N., Ghouse, J., Zamarripa, M., Rawlings, E. S., Laird, C., Bynum, M., Siirola, J., & Miller, D. C. (2021, July 26-29). Conceptual design of molten salt storage system for super-critical power plants [Conference presentation]. The 45th International Technical Conference on Clean Energy, Clearwater, FL.
2021 Presentations Conference Presentation
Optimizing the dynamic, multi-scale energy systems of the future
Miller, D. C. (2021, July 26-29). Optimizing the dynamic, multi-scale energy systems of the future [Conference presentation]. The 45th International Technical Conference on Clean Energy, Clearwater, FL.
2021 Presentations Conference Presentation
Advanced-multi-step Moving Horizon Estimation
Biegler, L. T., Kim, Y., Lin, K.-H., & Thierry, D. M. (2021, June 13-16). Advanced-multi-step Moving Horizon Estimation [Conference presentation]. 11th IFAC International Symposium on Advanced Control of Chemical Processes (ADCHEM 2021), Virtual.
2021 Presentations Conference Presentation
Nonlinear programming strategies for optimization of dynamic chemical looping reactor models
Parker, R., & Biegler, L. T. (2020, November 16-20). Nonlinear programming strategies for optimization of dynamic chemical looping reactor models [Paper presentation]. 2020 AIChE Annual, Virtual. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2020/proceeding/paper/596a-nonlinear-programming-strategies-optimization-dynamic-chemical-looping-reactor-models
2020 Presentations Conference Paper
Dynamic optimization of natural gas network with rigorous thermodynamics under uncertainty
Liu, K., Zhang, B. & Chen, Q. (2019, July 14-18). Dynamic optimization of natural gas network with rigorous thermodynamics under uncertainty [Conference presentation]. 9 Intl Conference on Foundations of Computer-Aided Process Design, Copper Mountain, CO.
2019 Presentations Conference Presentation
- All
- Conference Paper
- Conference Presentation
- Peer-Reviewed Conference Proceedings
Economies of Numbers Formulations for Optimal Process Family Design of Carbon Capture Systems
Stinchfield, G., J.C. Morgan, M.A. Zamarripa, C.D. Laird. “Economies of Numbers Formulations for Optimal Process Family Design of Carbon Capture Systems.” AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Optimal Operation of Solid Oxide Electrolysis Cell Considering Long Term Physical and Chemical Degradation and System Performance
Giridhar, N., Q.M. Le, D. Bhattacharyya, D.A. Allan, and S.E. Zitney, “Optimal Operation of Solid Oxide Electrolysis Cell Considering Long Term Physical and Chemical Degradation and System Performance,” AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Dynamic Modeling of the Synergistic Effects of Chemical and Thermo-Mechanical Degradation of Solid Oxide Cells
Giridhar, N., Q.M. Le, D. Bhattacharyya, D.A. Allan, and S.E. Zitney, “Dynamic Modeling of the Synergistic Effects of Chemical and Thermo-Mechanical Degradation of Solid Oxide Cells,” AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Optimization of Infrastructure Planning of Reliable and Carbon-neutral Power Systems: Application to San Diego County
Cho, S., J. Tovar-Facio, I.E. Grossmann, B.P. Omell, C.D. McLean, R. Tumbalam-Gooty, P.A. Tominac, A.P. Burgard, J.D. Siirola, J. Shinn, “Optimization of Infrastructure Planning of Reliable and Carbon-neutral Power Systems: Application to San Diego County,” AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Augmented Control Using Reinforcement Learning and Conventional Process Control
Beahr, D., D. Bhattacharyya, D.A. Allan, and S.E. Zitney, “Augmented Control Using Reinforcement Learning and Conventional Process Control,” AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Mixed-Integer Programming Representations of Linear Model Decision Tree Surrogates
Ammari, B.L., E.S. Johnson, G. Stinchfield, T. Kim, M. Bynum, W.E. Hart, J. Pulsipher, C.D. Laird, “Mixed-Integer Programming Representations of Linear Model Decision Tree Surrogates”, AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity
Dowling, A., “Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity,” AIChE Annual Meeting, Orlando, FL, November 5-10, 2023.
2023 Presentations Conference Presentation
Learning to Branch with Interpretable Machine Learning Models
Bayramoglu, S., G. Nemhauser, and N. Sahinidis, “Learning to Branch with Interpretable Machine Learning Models”, 2023 INFORMS Annual Meeting, Phoenix, AZ, October 15-18, 2023.
2023 Presentations Conference Presentation
Multi-scale Modeling and AI/ML Tools for the Optimization of Advanced Energy Systems
S. Zitney, “Multi-scale Modeling and AI/ML Tools for the Optimization of Advanced Energy Systems”, SAMI Tech Talk, Aug 16, 2023.
2023 Presentations Conference Presentation
Optimization model for expansion planning of reliable and resilient power systems
Cho, J. Tovar-Facio, I. E. Grossmann, “Optimization model for expansion planning of reliable and resilient power systems”, The 23rd Conference of the International Federation of Operational Research Societies (IFORS2023), Santiago, Chile, July 10-14, 2023.
2023 Presentations Conference Presentation
Beyond Price Taker: Using Machine Learning Surrogate Models to Optimization Electricity and Hydrogen Co-Production in Wholesale Energy Markets
Dowling, A.W., Beyond Price Taker: Using Machine Learning Surrogate Models to Optimization Electricity and Hydrogen Co-Production in Wholesale Energy Markets, Institution of Chemical Engineers (IChemE) Invited Webinar, July 6, 2023
2023 Presentations Conference Presentation
Learning to Branch with Interpretable Machine Learning Models
Bayramoglu, S., G. Nemhauser, and N. Sahinidis, “Learning to Branch with Interpretable Machine Learning Models”, Poster presented at the 24th Conference on Integer Programming and Combinatorial Optimization (IPCO XXIV), Madison, Wisconsin, June 21-23, 2023.
2023 Presentations Conference Paper
Optimization of Process Families for Deployment of Carbon Capture Processes using Machine Learning Surrogates
Stinchfield, G., B.L. Ammari, J.C. Morgan, J.D. Siirola, M.A. Zamarripa, C.D. Laird, “Optimization of Process Families for Deployment of Carbon Capture Processes using Machine Learning Surrogates”, 33rd Annual European Symposium on Computer-Aided Process Engineering (ESCAPE), Athens, Greece, June 18-21, 2023. (Won the best presentation award from 200+ presentations.)
2023 Presentations Conference Presentation
Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity, Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity
Dowling, A.W., “Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity, Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity”, Hydrogen Program Annual Merit Review, Arlington, VA, June 8, 2023.
2023 Presentations Conference Presentation
Technoeconomic Evaluation of SOFC/SOEC-based Integrated Energy Systems for the Co-Production of Electricity and Hydrogen
Burgard, A.P., “Technoeconomic Evaluation of SOFC/SOEC-based Integrated Energy Systems for the Co-Production of Electricity and Hydrogen”, Poster shown at Hydrogen Program Annual Merit Review, Arlington, VA, June 8, 2023.
2023 Presentations Conference Paper
Optimization model for expansion planning of reliable and resilient power systems under extreme scenarios
Cho, I. E. Grossmann, “Optimization model for expansion planning of reliable and resilient power systems under extreme scenarios”, 11th World Congress of Chemical Engineering (WCCE11), Buenos Aires, Argentina, June 4-8, 2023.
2023 Presentations Conference Presentation
Optimal Design Approaches for Rapid, Cost-Effective Manufacturing and Deployment of Chemical Processes
Stinchfield, G., J.C. Morgan, M. Zamarripa, C.D. Laird, “Optimal Design Approaches for Rapid, Cost-Effective Manufacturing and Deployment of Chemical Processes”, Poster presented at 2023 Fossil Energy and Carbon Management (FECM)/NETL Spring R&D Project Review Meeting, Pittsburgh, PA, April 18-20, 2023.
2023 Presentations Conference Paper
Physical and Chemical Degradation Modeling of Solid Oxide Cells
Giridhar, N., M. Le, D.A. Allan, D. Bhattacharyya, and S.E. Zitney, “Physical and Chemical Degradation Modeling of Solid Oxide Cells,” Poster presented at 2023 Fossil Energy and Carbon Management (FECM)/NETL Spring R&D Project Review Meeting, Pittsburgh, PA, April 18-20, 2023.
2023 Presentations Conference Paper
Multi-scale Modeling and Optimization Using IDAES
Burgard, A., E. Zitney, and B.P. Omell, “Multi-scale Modeling and Optimization Using IDAES,” 2023 Fossil Energy and Carbon Management (FECM)/NETL Spring R&D Project Review Meeting, Pittsburgh, PA, April 18-20, 2023.
2023 Presentations Conference Presentation
NMPC for setpoint tracking operation of a solid oxide electrolysis cell system
Allan, D. A., Dabadghao, V., Li, M., Eslick, J. C., Ma, J., Bhattacharyya, D., Zitney, S. E., and Biegler, L. T. (2023, January 8-12). NMPC for setpoint tracking operation of a solid oxide electrolysis cell system [Paper presentation]. Foundations of Computer Aided Process Operations / Chemical Process Control (FOCAPO/CPC 2023), San Antonio, TX. https://www.osti.gov/biblio/1964151
2023 Presentations Conference Paper
- All
- Conference Paper
- Conference Presentation
- Peer-Reviewed Conference Proceedings
Technoeconomic analysis and optimization of low carbon, reforming-based integrated energy systems for the co-production of hydrogen and power
Wang, M., Ma, J., Lewis, E., Myles, P., Brewer, J., Keairns, D., Burgard, A., & Miller, D. (2022, November 13-18). Technoeconomic analysis and optimization of low carbon, reforming-based integrated energy systems for the co-production of hydrogen and power [Conference presentation]. 2022 AICHE Annual Meeting, Phoenix, AZ.
2022 Presentations Conference Presentation
Multiscale design, operations and control optimization of integrated energy systems considering energy market interactions
Dowling, A. W. (2022, November 9). Multiscale design, operations and control optimization of integrated energy systems considering energy market interactions [Conference presentation]. Chemical and Biological Engineering Department Fall Seminar, Illinois Institute of Technology, Chicago, IL.
2022 Presentations Conference Presentation
Multiscale design, operations and control optimization of integrated energy systems considering energy market interactions
Dowling, A. W. (2022, October 27). Multiscale design, operations and control optimization of integrated energy systems considering energy market interactions [Conference presentation]. Instituto Tecnológico de Celaya Graduate Seminar, Virtual.
2022 Presentations Conference Presentation
Optimal design formulations for families of similar processes with applications in energy systems
Stinchfield, G., Zamarripa, M.A., Siirola, J.D., Laird, C.D. (2022, October 16). Optimal design formulations for families of similar processes with applications in energy systems [Conference presentation]. INFORMs Annual Meeting, Indianapolis, IN.
2022 Presentations Conference Presentation
An optimization model for expansion planning of reliable power generation systems
Cho, S. & Grossmann, I.E. (2022). An optimization model for expansion planning of reliable power generation systems. In L. Montastruc & S. Negny (Eds.), 32nd European symposium on Computer Aided Process Engineering (ESCAPE32), Computer-Aided Chemical Engineering, 51 (pp 841-846). Elsevier. https://doi.org/10.1016/B978-0-323-95879-0.50141-7
2022 Presentations Conference Paper
An optimization model for expansion planning of reliable power generation systems
Cho, S. & Grossmann, I. E. (2022). An optimization model for the design and operation of reliable power generation systems. In Y. Yamashita & M. Kano (Eds.), 14th International Symposium on Process Systems Engineering (PSE2021+), Computer Aided Chemical Engineering, 49 (pp. 709-714). Elsevier. https://doi.org/10.1016/B978-0-323-85159-6.50118-4
2022 Presentations Conference Paper
Estimating energy market schedules using historical price data
Cortes, N.P., Gao, X., Knueven, B. & Dowling, A.W. (2022) Estimating energy market schedules using historical price data. In Y. Yamashita & M. Kano (Eds.), 14th International Symposium on Process Systems Engineering (PSE2021+), Computer Aided Chemical Engineering, 49 (pp. 517-522). Elsevier. https://doi.org/10.1016/B978-0-323-85159-6.50086-5
2022 Presentations Conference Paper
Co-optimizing the design and operation strategy of solid oxide fuel cell-based hydrogen-electricity co-production systems
Cortes, N.C., Eslick, J. C., Noring, A., Susarla, N., Okoli, C. O., Zamarripa-Perez, M. A., Iyengar, A., Burgard, A. P., Miller, D. C., Allan, D., & Dowling., A. W. (2022, July 25-28). Co-optimizing the design and operation strategy of solid oxide fuel cell-based hydrogen-electricity co-production systems [Poster presentation]. The International Conference on Continuous Optimization (ICCOPT), Lehigh University, Bethlehem, PA.
2022 Presentations Conference Presentation
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A multi-scale modeling paradigm for energy system operation and design
Gao, X., & Dowling, A. W. (2021, November 7-11). A multi-scale modeling paradigm for energy system operation and design [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/182e-ow-multi-scale-modeling-for-energy-paradigm-energy-system-operation-and-design
2021 Presentations Conference Paper
Design centering through derivative-free optimization
Zhao, F., Grossmann, I. E., Garcia-Munoz, S., & Stamatis, S. D. (2021, November 7-11). Design centering through derivative-free optimization [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA.
2021 Presentations Conference Paper
Diagnostic tools for nonlinear algebraic models of dynamic chemical processes in Pyomo.Dae
Parker, R., Nicholson, B., Siirola, J., & Biegler L. T. (2021, November 7-11). Diagnostic tools for nonlinear algebraic models of dynamic chemical processes in Pyomo.Dae [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.osti.gov/servlets/purl/1897361
2021 Presentations Conference Paper
Nonlinear model predictive control simulations of gas-solid reactors for chemical looping combustion of methane
Parker, R., & Biegler, L. T. (2021, November 7-11). Nonlinear model predictive control simulations of gas-solid reactors for chemical looping combustion of methane [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/492f-nonlinear-model-predictive-control-simulations-gas-solid-reactors-chemical-looping-combustion
2021 Presentations Conference Paper
On representative day selection for capacity expansion planning of power systems under extreme events
Li, C., Conejo, A. J., Siirola, J., & Grossmann, I. E. (2021, November 7-11). On representative day selection for capacity expansion planning of power systems under extreme events [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/182c-on-representative-day-selection-capacity-expansion-planning-power-systems-under-extreme-events
2021 Presentations Conference Paper
Regularized subsets: A framework for high-dimensional linear regression with noisy data and optional constraints
Sarwar, O. & Sahinidis, N. V. (2021, November 7-11). Regularized subsets: A framework for high-dimensional linear regression with noisy data and optional constraints [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/415c-regularized-subsets-framework-high-dimensional-linear-regression-noisy-data-and-optional
2021 Presentations Conference Paper
Rate-based dynamic modeling and optimization of an amine-based carbon capture unit for flexible operation
Akula, P., Eslick, J., Bhattacharyya, D., & Miller, D. C. (2021, November 7-11). Rate-based dynamic modeling and optimization of an amine-based carbon capture unit for flexible operation [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/418g-rate-based-dynamic-modeling-and-optimization-amine-based-carbon-capture-unit-flexible-operation
2021 Presentations Conference Paper
Conceptual design via superstructure optimization in advanced energy systems using IDAES
Rawlings, E., Susarla, N., Ghouse, J., Laird, C., Zamarripa, M., Bynum, M., Siirola, J., & Miller, D. (2021, November 7-11). Conceptual design via superstructure optimization in advanced energy systems using IDAES [Conference presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://doi.org/10.2172/1899680
2021 Presentations Conference Presentation
Toward future energy generation systems: Multi-scale optimization with market interactions
Jalving, J., Ghouse, J., Knueven, B., Siirola, J., Dowling, A. W., & Miller, D.C. (2021, November 7-11). Toward future energy generation systems: Multi-scale optimization with market interactions [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/418e-toward-future-energy-generation-systems-multi-scale-optimization-market-interactions
2021 Presentations Conference Paper
A multi-scale modeling paradigm for Integrated Energy System operation and design
Gao, X., & Dowling, A.W. (2021, November 7- 11). A multi-scale modeling paradigm for Integrated Energy System operation and design [Paper presentation]. 2021 AIChE Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/29e-multi-scale-modeling-paradigm-energy-system-operation-and-design
2021 Presentations Conference Paper
Towards process-materials co-optimization: automatic generation of optimizable MOF structure-function relationships
Yin, X., & Gounaris, C. E. (2021, November 7-11). Towards process-materials co-optimization: automatic generation of optimizable MOF structure-function relationships [Conference presentation]. AIChE 2021 Annual Meeting, Boston, MA. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2021/proceeding/paper/582f-towards-process-materials-co-optimization-automatic-generation-optimizable-mof-structure
2021 Presentations Conference Presentation
New features and comprehensive benchmarking study of the Pyomo robust optimization solver
Isenberg, N. M., Gounaris, C. E., & Siirola, J. D. (2021, November 7-11). New features and comprehensive benchmarking study of the Pyomo robust optimization solver. 2021 AIChE Annual Meeting, Boston, MA.
2021 Presentations Conference Presentation
Optimization workflows to quantify the resource-grid interactions in wholesale energy markets
Gao, X., Cortes, N., & Dowling, A.W. (2021, October 24-27). Optimization workflows to quantify the resource-grid interactions in wholesale energy markets [Conference presentation]. INFORMS Annual Meeting, Anaheim, CA. https://www.informs.org/academy/conferences/informs-annual-meeting/2021/proceeding/paper/182r-or-workflows-to-quantify-resource-grid-resource-interactions-in-wholesale-energy-markets
2021 Presentations Conference Paper
A comprehensive performance study of the Pyomo Robust Optimization Solver (PyROS)
Isenberg, N. M., Siirola, J. D., & Gounaris, C. E. (2021, October 24-27). A comprehensive performance study of the Pyomo Robust Optimization Solver (PyROS) [Conference presentation]. 2021 INFORMS Annual Meeting, Anaheim, CA.
2021 Presentations Conference Presentation
IES task 1.0: Design of flexible dynamic energy systems
Bynum, M., Deshpande, A., Siirola, J., Zitney, S.E., & Grossmann, I. (2021, October 14). IES task 1.0: Design of flexible dynamic energy systems [Conference presentation.] Stakeholder Meeting, Virtual. https://www.conference.org/academy/conferences/conference-presentation-stakeholder/2021/proceeding/paper/182f-es-task-Design-of-dynamic-energy-task-of-flexible-dynamic-energy-systems
2021 Presentations Conference Presentation
IDAES enterprise: Generation expansion planning with enhanced requirements for capacity adequacy considering renewable intermittency
Liu, P., Omell, B., Li, C., & Grossmann, I. (2021, July 26-29). IDAES enterprise: Generation expansion planning with enhanced requirements for capacity adequacy considering renewable intermittency [Conference presentation]. The 45th International Technical Conference on Clean Energy, Clearwater, FL.
2021 Presentations Conference Presentation
Formulation and parameter estimation of chemical looping reaction kinetic models using IDAES
Okoli, C., Ostace, A., Lee, A., Biegler, L. T., Parker, R., Tong, A., Chen, Y.-Y., Bhattacharyya, D., Burgard, A. P., & Miller, D. C. (2021, July 26-29). Formulation and parameter estimation of chemical looping reaction kinetic models using IDAES [Conference presentation]. The 45th International Technical Conference on Clean Energy, Clearwater, FL.
2021 Presentations Conference Presentation
IDAES dynamic power plant unit model library: Analyzing boiler health during cycling operations
Zamarripa, M., Ma, J., Minh, Q., Bhattacharyya, D., Eslick, J., Wang, M., Zitney, S. E., Burgard, A., & Miller, D. C. (2021, July 26-29). IDAES dynamic power plant unit model library: Analyzing boiler health during cycling operations [Conference presentation]. The 45th International Technical Conference on Clean Energy, Clearwater, FL.
2021 Presentations Conference Presentation
Conceptual design of molten salt storage system for super-critical power plants
Susarla, N., Ghouse, J., Zamarripa, M., Rawlings, E. S., Laird, C., Bynum, M., Siirola, J., & Miller, D. C. (2021, July 26-29). Conceptual design of molten salt storage system for super-critical power plants [Conference presentation]. The 45th International Technical Conference on Clean Energy, Clearwater, FL.
2021 Presentations Conference Presentation
Optimizing the dynamic, multi-scale energy systems of the future
Miller, D. C. (2021, July 26-29). Optimizing the dynamic, multi-scale energy systems of the future [Conference presentation]. The 45th International Technical Conference on Clean Energy, Clearwater, FL.
2021 Presentations Conference Presentation
Advanced-multi-step Moving Horizon Estimation
Biegler, L. T., Kim, Y., Lin, K.-H., & Thierry, D. M. (2021, June 13-16). Advanced-multi-step Moving Horizon Estimation [Conference presentation]. 11th IFAC International Symposium on Advanced Control of Chemical Processes (ADCHEM 2021), Virtual.
2021 Presentations Conference Presentation
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Nonlinear programming strategies for optimization of dynamic chemical looping reactor models
Parker, R., & Biegler, L. T. (2020, November 16-20). Nonlinear programming strategies for optimization of dynamic chemical looping reactor models [Paper presentation]. 2020 AIChE Annual, Virtual. https://www.aiche.org/academy/conferences/aiche-annual-meeting/2020/proceeding/paper/596a-nonlinear-programming-strategies-optimization-dynamic-chemical-looping-reactor-models
2020 Presentations Conference Paper
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Dynamic optimization of natural gas network with rigorous thermodynamics under uncertainty
Liu, K., Zhang, B. & Chen, Q. (2019, July 14-18). Dynamic optimization of natural gas network with rigorous thermodynamics under uncertainty [Conference presentation]. 9 Intl Conference on Foundations of Computer-Aided Process Design, Copper Mountain, CO.
2019 Presentations Conference Presentation