A Modified SQP-based Model Predictive Control Algorithm: Application to Supercritical Coal-fired Power Plant Cycling-Reference-Cited by-同舟云学术

A Modified SQP-based Model Predictive Control Algorithm: Application to Supercritical Coal-fired Power Plant Cycling

Published:2020-07-28 Issue:35 Volume:59 Page:15671-15681
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

He Xin¹,Lima Fernando V.²^ORCID

Affiliation:

1. Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia 26506 United States

2. Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia 26506, United States

Funder

U.S. Department of Energy

U.S.-China Clean Energy Research Center program

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.0c01843

Reference27 articles.

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2. Development and implementation of advanced control strategies for power plant cycling with carbon capture

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4. Wächter, A. An Interior Point Algorithm for Large-Scale Nonlinear Optimization with Applications in Process Engineering. Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, PA, USA, 2002.

5. An interior algorithm for nonlinear optimization that combines line search and trust region steps

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