Development of a micro-compressed air energy storage system model based on experiments
Shang Chen,
Ahmad Arabkoohsar,
Tong Zhu and
Mads Pagh Nielsen
Energy, 2020, vol. 197, issue C
Abstract:
Compressed air energy storage system is a promising electricity storage technology. There are several simplified thermodynamic models for performance assessment of compressed air energy storage systems that do not provide an exact picture of the system performance. In this work, a modeling methodology is proposed for developing the model of a compressed air energy storage system. The models of individual components are gathered to constitute the system overall model. Reliable models of the components in different configurations ranging from single-to multi-stage designs are presented. These created models are validated with a sort of tests on a lab-scale setup, observing mean-absolute-percentage-errors of smaller than 8% in the worst case. The experimental results and models show that the output performance of the expander and the overall efficiency of the system vary from different configurations. With the development of the model derived from the experiment, the optimal condition is suggested. The increase in the number of stages of the expanders leads to a significant jump in the overall efficiency of the system. The efficiency of the designed experimental setup in different conditions ranges from 13% to 25%, and the optimal system efficiency will increase to 60% for a triple-stage system.
Keywords: Compressed air energy storage systems; Model development; Efficiency analysis (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544220302590
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:197:y:2020:i:c:s0360544220302590
DOI: 10.1016/j.energy.2020.117152
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 ().