A load-based approach for optimizing a packed-bed thermal store

C�rdenas, Bruno; Garvey, Seamus D.

Abstract

This paper presents a load-based optimization approach for improving the efficiency of a packed bed. The optimization is based on splitting the work-cycle of the thermal store into two frequency components: low and high. A packed bed is designed for each one of the two profiles. A packed bed can be customised much better for a duty-cycle that contains a narrow range of frequencies.

The case study presented considers a 24 h working-cycle (12 h charge / 12 h discharge) with a 10 MW peak power and an exergy storage requirement of 33.3 MW h (76.3 MW h of heat). A packed bed was optimized for this duty-cycle using a one dimensional model that varies the aspect ratio and the rock size. This packed bed is the ‘reference case’ for the study. The aim of the load-based optimization is to create a two-bed system that achieves lower exergy losses than the reference case while keeping the overall storage capacity constant.

A sign-preserving filter is used as the signal-splitting tool. Numerous different work-cycle “splits” are explored. Results show that the exergy losses of the packed bed can be considerably reduced. The optimum work-cycle split considers a low-frequency packed bed that supplies 85% of the storage capacity and a high-frequency packed bed that provides the remaining 15%. The combined losses of the two packed beds are 644 kW h, which represents a reduction of 25.5% in comparison to the exergy losses of the reference case. The study demonstrates that the “load-based optimization” allows replacing a packed bed with an equivalent but more efficient two-bed system at almost no additional cost.

Citation

Cárdenas, B., & Garvey, S. D. (2019). A load-based approach for optimizing a packed-bed thermal store. Journal of Energy Storage, 25, Article 100835. https://doi.org/10.1016/j.est.2019.100835

• Journal Article Type: Article
• Acceptance Date: Jul 8, 2019
• Online Publication Date: Jul 18, 2019
• Publication Date: 2019-10
• Deposit Date: Aug 7, 2019
• Publicly Available Date: Jul 19, 2020
• Journal: Journal of Energy Storage
• Electronic ISSN: 2352-152X
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 25
• Article Number: 100835
• DOI: https://doi.org/10.1016/j.est.2019.100835
• Keywords: Sign-preserving filter; Load optimization; Thermal energy storage; Compressed air energy storage; Exergy efficiency; Work-cycle frequency
• Public URL: https://nottingham-repository.worktribe.com/output/2400716
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S2352152X19301562?via%3Dihub
• Additional Information: This article is maintained by: Elsevier; Article Title: A load-based approach for optimizing a packed-bed thermal store; Journal Title: Journal of Energy Storage; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.est.2019.100835; Content Type: article; Copyright: © 2019 Elsevier Ltd. All rights reserved.
• Contract Date: Aug 7, 2019