Category: Publications
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
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
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
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
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
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
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
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
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
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