D-RM Builder: A software tool for generating fast and accurate nonlinear dynamic reduced models from high-fidelity models

Ma, Jinliang; Mahapatra, Priyadarshi; Zitney, Stephen E.; Biegler, Lorenz T.; Miller, David C.

doi:10.1016/j.compchemeng.2016.07.021

Title: D-RM Builder: A software tool for generating fast and accurate nonlinear dynamic reduced models from high-fidelity models

Abstract

Dynamic reduced models (D-RMs) derived from rigorous models are highly desired for speeding up dynamic simulations. A useful software tool named D-RM Builder was developed to automatically generate data-driven D-RMs from high-fidelity dynamic models. It allows a user to configure input/output variables, sample input space and generate sequences of step changes, launch high-fidelity model simulations, fit simulation results to a D-RM, and finally visualize and validate the D-RM. The Decoupled A-B Net (DABNet) nonlinear system identification model was used as the main D-RM type and was enhanced to model nonlinear multiple input and multiple output dynamic systems with options for double-pole formulation to handle fast/slow time scales and pole value optimization. In conclusion, the D-RM Builder tool has been successfully used to generate D-RMs for a highly nonlinear pH neutralization reactor system and a two-time-scale bubbling fluidized bed adsorber-reactor for CO₂ capture.

Authors:

Ma, Jinliang ^[1]; Mahapatra, Priyadarshi ^[2]; Zitney, Stephen E. ^[3]; Biegler, Lorenz T. ^[4]; Miller, David C. ^[5]

National Energy Technology Lab. (NETL), Morgantown, WV (United States); AECOM, Morgantown, WV (United States)
National Energy Technology Lab. (NETL), Morgantown, WV (United States); West Virginia Univ. Research Corp., Morgantown, WV (United States)
National Energy Technology Lab. (NETL), Morgantown, WV (United States)
Carnegie Mellon Univ., Pittsburgh, PA (United States)
National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)

Publication Date:: Fri Jul 29 00:00:00 EDT 2016

Research Org.:: National Energy Technology Lab. (NETL), Morgantown, WV (United States)

Sponsoring Org.:: USDOE Office of Fossil Energy (FE); USDOE Office of Fossil Energy and Carbon Management (FECM)

OSTI Identifier:: 1478622

Alternate Identifier(s):: OSTI ID: 1396658

Grant/Contract Number:: FE0004000

Resource Type:: Accepted Manuscript

Journal Name:: Computers and Chemical Engineering

Additional Journal Information:: Journal Volume: 94; Journal Issue: C; Journal ID: ISSN 0098-1354

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 42 ENGINEERING; 97 MATHEMATICS AND COMPUTING; Data-driven dynamic reduced models; Nonlinear system identification models; Dynamic simulation; Model predictive control; Engineering software development; Carbon capture

Citation Formats


                    Ma, Jinliang, Mahapatra, Priyadarshi, Zitney, Stephen E., Biegler, Lorenz T., and Miller, David C. D-RM Builder: A software tool for generating fast and accurate nonlinear dynamic reduced models from high-fidelity models.  United States: N. p., 2016. 
Web.  doi:10.1016/j.compchemeng.2016.07.021.

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                    Ma, Jinliang, Mahapatra, Priyadarshi, Zitney, Stephen E., Biegler, Lorenz T., & Miller, David C. D-RM Builder: A software tool for generating fast and accurate nonlinear dynamic reduced models from high-fidelity models.  United States.  https://doi.org/10.1016/j.compchemeng.2016.07.021

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                    Ma, Jinliang, Mahapatra, Priyadarshi, Zitney, Stephen E., Biegler, Lorenz T., and Miller, David C. Fri .  
"D-RM Builder: A software tool for generating fast and accurate nonlinear dynamic reduced models from high-fidelity models".  United States.  https://doi.org/10.1016/j.compchemeng.2016.07.021.  https://www.osti.gov/servlets/purl/1478622.

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@article{osti_1478622,

  title        = {D-RM Builder: A software tool for generating fast and accurate nonlinear dynamic reduced models from high-fidelity models},

  author       = {Ma, Jinliang and Mahapatra, Priyadarshi and Zitney, Stephen E. and Biegler, Lorenz T. and Miller, David C.},

  abstractNote = {Dynamic reduced models (D-RMs) derived from rigorous models are highly desired for speeding up dynamic simulations. A useful software tool named D-RM Builder was developed to automatically generate data-driven D-RMs from high-fidelity dynamic models. It allows a user to configure input/output variables, sample input space and generate sequences of step changes, launch high-fidelity model simulations, fit simulation results to a D-RM, and finally visualize and validate the D-RM. The Decoupled A-B Net (DABNet) nonlinear system identification model was used as the main D-RM type and was enhanced to model nonlinear multiple input and multiple output dynamic systems with options for double-pole formulation to handle fast/slow time scales and pole value optimization. In conclusion, the D-RM Builder tool has been successfully used to generate D-RMs for a highly nonlinear pH neutralization reactor system and a two-time-scale bubbling fluidized bed adsorber-reactor for CO2 capture.},

  doi          = {10.1016/j.compchemeng.2016.07.021},

  journal      = {Computers and Chemical Engineering},

  number       = C,

  volume       = 94,

  place        = {United States},

  year         = {Fri Jul 29 00:00:00 EDT 2016},

  month        = {Fri Jul 29 00:00:00 EDT 2016}

}

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https://doi.org/10.1016/j.compchemeng.2016.07.021

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Works referencing / citing this record:

Adaptive Model Predictive Control for Wiener Nonlinear Systems
journal, November 2018

Aliskan, Ibrahim
Iranian Journal of Science and Technology, Transactions of Electrical Engineering, Vol. 43, Issue S1
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Title: D-RM Builder: A software tool for generating fast and accurate nonlinear dynamic reduced models from high-fidelity models

Abstract

Citation Formats

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Nonlinear black-box modeling in system identification: a unified overview
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Locally recurrent globally feedforward networks: a critical review of architectures
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