The IDAES process modeling framework and model library—Flexibility for process simulation and optimization

Lee, Andrew; Ghouse, Jaffer H.; Eslick, John C.; Laird, Carl D.; Siirola, John D.; Zamarripa, Miguel A.; Gunter, Dan; Shinn, John H.; Dowling, Alexander W.; Bhattacharyya, Debangsu; Biegler, Lorenz T.; Burgard, Anthony P.; Miller, David C.

doi:10.1002/amp2.10095

The IDAES process modeling framework and model library—Flexibility for process simulation and optimization

Journal Article · Thu Apr 29 00:00:00 EDT 2021 · Journal of Advanced Manufacturing and Processing

DOI:https://doi.org/10.1002/amp2.10095· OSTI ID:1787386

^[1]; ^[1]; ^[1]; Laird, Carl D. ^[2]; Siirola, John D. ^[2]; ^[1]; ^[3]; Shinn, John H. ^[3]; ^[4]; Bhattacharyya, Debangsu ^[5]; ^[6]; Burgard, Anthony P. ^[7]; ^[7]

National Energy Technology Lab. (NETL), Pittsburgh, PA (United States); NETL Support Contractor, Pittsburgh, PA (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Univ. of Notre Dame, IN (United States)
West Virginia Univ., Morgantown, WV (United States)
Carnegie Mellon Univ., Pittsburgh, PA (United States)
National Energy Technology Lab. (NETL), Pittsburgh, PA (United States)

Energy systems and manufacturing processes of the 21st century are becoming increasingly dynamic and interconnected, which require new capabilities to effectively model and optimize their design and operations. Such next generation computational tools must leverage state-of-the-art techniques in optimization and be able to rapidly incorporate new advances. Here, to address these requirements, we have developed the Institute for the Design of Advanced Energy Systems (IDAES) Integrated Platform, which builds on the strengths of both process simulators (model libraries) and algebraic modeling languages (advanced solvers). This paper specifically presents the IDAES Core Modeling Framework (IDAES-CMF), along with a case study demonstrating the application of the framework to solve process optimization problems. Capabilities provided by this framework include a flexible, modifiable, open-source platform for optimization of process flowsheets utilizing state-of-the-art solvers and solution techniques, fully open and extensible libraries of dynamic unit operations models and thermophysical property models, and integrated support for superstructure-based conceptual design and optimization under uncertainty.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)

Sponsoring Organization:: USDOE Office of Fossil Energy (FE); USDOE

Grant/Contract Number:: AC02-05CH11231; DE‐FE0025912; DE‐NA0003525; DEAC02‐05CH11231; FE0025912

OSTI ID:: 1787386

Alternate ID(s):: OSTI ID: 1782910; OSTI ID: 1828571; OSTI ID: 1880051

Journal Information:: Journal of Advanced Manufacturing and Processing, Vol. 3, Issue 3; ISSN 2637-403X

Publisher:: American Institute of Chemical Engineers (AIChE), WileyCopyright Statement

Country of Publication:: United States

Language:: English

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The IDAES process modeling framework and model library—Flexibility for process simulation and optimization

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