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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

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 CO 2 capture.

Authors:
 [1];  [2];  [3];  [4];  [5]
  1. National Energy Technology Lab. (NETL), Morgantown, WV (United States); AECOM, Morgantown, WV (United States)
  2. National Energy Technology Lab. (NETL), Morgantown, WV (United States); West Virginia Univ. Research Corp., Morgantown, WV (United States)
  3. National Energy Technology Lab. (NETL), Morgantown, WV (United States)
  4. Carnegie Mellon Univ., Pittsburgh, PA (United States)
  5. National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)
Publication Date:
Research Org.:
National Energy Technology Lab. (NETL), Morgantown, WV (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1478622
Alternate Identifier(s):
OSTI ID: 1396658
Grant/Contract Number:  
FE0004000
Resource Type:
Journal Article: 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.
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. doi:10.1016/j.compchemeng.2016.07.021.
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. doi:10.1016/j.compchemeng.2016.07.021. https://www.osti.gov/servlets/purl/1478622.
@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},
issn = {0098-1354},
number = C,
volume = 94,
place = {United States},
year = {2016},
month = {7}
}

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