Dynamic Modeling and Simulation of a Subcritical Coal-Fired Power Plant under Load-Following Conditions
Author:
Affiliation:
1. Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia 26506, United States
2. U.S. Department of Energy, National Energy Technology Laboratory, Morgantown, West Virginia 26507, United States
Funder
West Virginia University, McNair Fellowship
U.S. Department of Energy, Transformational Technologies for New and Existing Plants (TTNEP) project at National Energy Technology Laboratory (NETL)
Publisher
American Chemical Society (ACS)
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.4c00494
Reference44 articles.
1. U.S. Energy Information Administration. U.S. Energy Information Administration - EIA - Independent Statistics and Analysis. https://www.eia.gov/totalenergy/data/browser/.
2. U.S. Environmental Protection Agency. Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990–2022; 2021.
3. Nonlinear multiobjective and dynamic real‐time predictive optimization for optimal operation of baseload power plants under variable renewable energy
4. Development and implementation of advanced control strategies for power plant cycling with carbon capture
5. A Modified SQP-based Model Predictive Control Algorithm: Application to Supercritical Coal-fired Power Plant Cycling
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