Performance assessment of two compressed and liquid carbon dioxide energy storage systems: Thermodynamic, exergoeconomic analysis and multi-objective optimization
Lei Sun,
Bo Tang and
Yonghui Xie
Energy, 2022, vol. 256, issue C
Abstract:
Nowadays, large-scale energy storage systems (EES) are a crucial mechanism to realize large-scale grid-connected power generation from renewable energy. And the development of co-generation systems coupled with EES has encouraging economic potential. In this paper, two compressed and liquid carbon dioxide energy storage systems without extra heat/cold sources are proposed (denoted as LCES-E and LCES-EC). The system's principles are presented; the thermodynamic and exergoeconomic analyses models are developed; the effects of five primary parameters are obtained by parametric analysis; meanwhile, the potential of the systems is revealed by multi-objective optimization. The results show that both systems can provide stable electricity and cold simultaneously. The better cooling capacity makes LCES-EC superior, with the RTE, EVR and cptot reaching 78.66%, 12.69 kWh/m3 and 41.23 $/GJ. The compressor and turbine exergy destruction and cost exceed 55% of all components, and appropriately high levels of ηC and ηT are preferred for both efficiency and economy. The LCES-EC system guarantees both electrical efficiency and cold capacity, showing preferable features over previously reported systems.
Keywords: Compressed and liquid carbon dioxide energy storage systems; Thermodynamic and exergoeconomic analyses; Parametric analysis; Multi-objective optimization (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222015511
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:256:y:2022:i:c:s0360544222015511
DOI: 10.1016/j.energy.2022.124648
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().