Dr BRUNO CARDENAS Bruno.Cardenas@nottingham.ac.uk
SENIOR RESEARCH FELLOW IN THERMO-MECHANICAL ENERGY STORAGE
A load-based approach for optimizing a packed-bed thermal store
C�rdenas, Bruno; Garvey, Seamus D.
Authors
Professor SEAMUS GARVEY SEAMUS.GARVEY@NOTTINGHAM.AC.UK
PROFESSOR OF DYNAMICS
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 |
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