The following article is a "post-print" of an article accepted for publication in an Elsevier journal.Nease J, Montiero N, Adams TA II. 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, Computers & Chemical Engineering, 94:235-249 (2016) The post-print is not the final version of the article. It is the unformatted version which was submitted for peer review, and may contain any changes made as the result of reviewer feedback. It does not contain any corrections made during the proofing and typesetting stages. Therefore, there may be minor differences between this version and the final version of record.The final, official version of the article can be downloaded from the journal's website via this DOI link when it becomes available (subscription or purchase may be required):
AbstractWe present a new two-level rolling horizon optimization framework applied to a zeroemissions 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 twolevel 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.