Keywords
dynamic optimization, weather forecast, energy storage, solar thermal
Abstract
A solar thermal power plant is used as a case study for dynamic heat integration with thermal energy storage. Findings show that thermal energy storage gives the system the ability to make the power dispatchable. Additionally, by solving a 24-hour dynamic optimization problem where the plant temperatures and power output are variable allows the system to capture and harvest a higher percentage of solar energy, with the most benefit occurring on mostly cloudy days. The solar energy captured increases 64% from 4.75 MWh to 7.80 MWh using this scheme. Hybrid plant operation and the ability to bypass the storage tanks further improve the system performance.
Original Publication Citation
Powell, Kody M., John D. Hedengren, and Thomas F. Edgar. "Dynamic optimization of a solar thermal energy storage system over a 24 hour period using weather forecasts." 2013 American Control Conference. IEEE, 2013.
BYU ScholarsArchive Citation
Powell, Kody; Hedengren, John; and Edgar, Thomas F., "Dynamic Optimization of a Solar Thermal Energy Storage System over a 24 Hour Period using Weather Forecasts" (2013). Faculty Publications. 1714.
https://scholarsarchive.byu.edu/facpub/1714
Document Type
Peer-Reviewed Article
Publication Date
2013-7
Permanent URL
http://hdl.lib.byu.edu/1877/3654
Publisher
American Control Conference Proceedings
Language
English
College
Ira A. Fulton College of Engineering and Technology
Department
Chemical Engineering
Copyright Status
Copyright 2013, American Control Conference. This is the author's submitted version of this article.
Copyright Use Information
http://lib.byu.edu/about/copyright/