dynamic optimization, weather forecast, energy storage, solar thermal
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). All Faculty Publications. 1714.
American Control Conference Proceedings
Ira A. Fulton College of Engineering and Technology
Copyright 2013, American Control Conference. This is the author's submitted version of this article.
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