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Other research product . Other ORP type . 2016

Application of a two-level rolling horizon optimization scheme to a solid-oxide fuel cell and compressed air energy storage plant for the optimal supply of zero-emissions peaking power

Nease, Jake; Monteiro, Nina; Adams, TA II;
Open Access
English
Published: 29 Aug 2016
Publisher: Elsevier
Country: Canada
Abstract

We present a new two-level rolling horizon optimization framework applied to a zero-emissions coal-fueled solid-oxide fuel cell power plant with compressed air energy storage for peaking applications. Simulations are performed where the scaled hourly demand for the year 2014 from the Ontario, Canada market is met as closely as possible. It was found that the proposed two-level strategy, by slowly adjusting the SOFC stack power upstream of the storage section, can improve load-following performance by 86% compared to the single-level optimization method proposed previously. A performance analysis indicates that the proposed approach uses the available storage volume to almost its maximum potential, with little improvement possible without changing the system itself. Further improvement to load-following is possible by increasing storage volumes, but with diminishing returns. Using an economically-focused objective function can improve annual revenue generation by as much as 6.5%, but not without a significant drop-off in load-following performance. Ontario Research Fund, NSERC Vanier Canada Graduate Scholarship Program, Canada-Brazil Science Without Borders Program

Subjects

Solid oxide fuel cells, Compressed air energy storage, Peaking power, Optimization, Coal, Carbon capture

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MacSphere
2016
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