A novel mathematical model for the performance assessment of diabatic compressed air energy storage systems including the turbomachinery characteristic curves
Stefano Briola,
Paolo Di Marco,
Roberto Gabbrielli and
Juri Riccardi
Applied Energy, 2016, vol. 178, issue C, 758-772
Abstract:
In this work, a novel detailed mathematical model for the performance assessment of diabatic compressed air energy storage (D-CAES) systems with underground storage site is proposed. The model was implemented in Matlab environment and it was validated using the D-CAES Huntorf plant data, demonstrating a close agreement with the data reported in literature. The analysis of some case studies of the D-CAES plant showed that the characteristic curves of the compressors, that were assumed for the operation in steady state conditions, are not suitable for modeling the operation in time-dependent conditions. Thus, different characteristic curves of the compressors and turbines were identified in such a way that the operation points of turbomachinery lay within the admissible range during the entire process sequence, in steady state or time-dependent conditions. Furthermore, the analysis demonstrated that the presence of the throttling valves in the charging and discharging circuits is preferable due to a higher simplicity of construction and regulation despite a low increase of the fuel consumption in the combustion chambers.
Keywords: Diabatic compressed air energy storage; Mathematical modeling; Performance assessment; Characteristic curves (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261916308674
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:appene:v:178:y:2016:i:c:p:758-772
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2016.06.091
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().