Optimization of process families for improved deployment of industrial decarbonization processes using machine learning surrogates

Stinchfield, G., Ammari, B., Morgan, J. C., Siirola, J. D., Zamarripa, M. A., & Laird, C. D. (2023). Optimization of process families for improved deployment of industrial decarbonization processes using machine learning surrogates. In Kokossis, A., Georgiadis, M., & Pistikopoulos, S. (Eds.), 33rd European Symposium on Computer Aided Process Engineering. Elsevier.

Multi-scale modeling using IDAES

Burgard, A., Zitney, S, & Omell, B. (2023, April 18-20). Multi-scale modeling using IDAES [Conference presentation]. 2023 FECM / NETL Spring R&D Project Review Meeting, Pittsburgh, PA. https://www.osti.gov/biblio/1971246

Optimal design approaches for rapid, cost-effective manufacturing and deployment of chemical processes

Stinchfield, G., Morgan, J.C., Zamarripa, M., & Laird, C. D. (2023, April 18-20). Optimal design approaches for rapid, cost-effective manufacturing and deployment of chemical processes [Poster presentation]. 2023 FECM / NETL Spring R&D Project Review Meeting, Pittsburgh, PA.

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