LAPSE:2024.1632
Published Article

LAPSE:2024.1632
Model Diagnostics for Equation-Oriented Models: Roadblocks and the Path Forward
August 16, 2024. Originally submitted on July 9, 2024
Equation-Oriented (EO) modeling techniques have been gaining popularity as an alternative for simulating and optimizing process systems due to their flexibility and ability to leverage state-of-the-art solvers inaccessible to many procedural modeling approaches. Despite these advantages, adopting EO modeling tools remains challenging due to the significant learning curve and effort required to build and solve models. Many techniques are available to help diagnose problems with EO process models and reduce the effort required to create and use them. However, these techniques still need to be integrated into EO modeling environments, and many modelers are unaware of sophisticated EO diagnostic tools. To survey the availability of model diagnostic tools and common workflows, the U.S. Department of Energys Institute for the Design of Advanced Energy Systems (IDAES) has conducted user experience interviews of users of the IDAES Integrated Platform (IDAES-IP) for process modeling. The interviews reveal a gap between the availability and utilization of model diagnostic tools driven primarily by a lack of awareness of and lack of standard interfaces among different tools. To address this gap, the IDAES team has developed a recommended workflow for integrating diagnostics into the model development process and an IDAES Model Diagnostics Toolbox that provides a standard interface for many of these best practices. This paper identifies barriers to the widespread adoption of diagnostic tools for EO models and reduces these barriers by providing a standard, user-friendly interface for many different tools.
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Suggested Citation
Lee A, Parker RB, Poon S, Gunter D, Dowling AW, Nicholson B. Model Diagnostics for Equation-Oriented Models: Roadblocks and the Path Forward. Systems and Control Transactions 3:966-974 (2024) https://doi.org/10.69997/sct.147875
Author Affiliations
Lee A: National Energy Technology Laboratory, Pittsburgh, PA 15236, USA; NETL Support Contractor, Pittsburgh, PA 15236, USA
Parker RB: Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Poon S: Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Gunter D: Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Dowling AW: University of Notre Dame, Notre Dame, IN 46556, USA
Nicholson B: Sandia National Laboratories, Albuquerque, NM 87185, USA
Parker RB: Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Poon S: Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Gunter D: Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Dowling AW: University of Notre Dame, Notre Dame, IN 46556, USA
Nicholson B: Sandia National Laboratories, Albuquerque, NM 87185, USA
Journal Name
Systems and Control Transactions
Volume
3
First Page
966
Last Page
974
Year
2024
Publication Date
2024-07-10
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PII: 0966-0974-675962-SCT-3-2024, Publication Type: Journal Article
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LAPSE:2024.1632
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https://doi.org/10.69997/sct.147875
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