2014
DOI: 10.1016/j.enconman.2013.09.063
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Exergy and exergoeconomic analysis of a Compressed Air Energy Storage combined with a district energy system

Abstract: Abstract:The potential for using heat generated during the compression stage of a Compressed Air Energy Storage system was investigated using exergy and exergoeconomic analysis. Two Compressed Air Energy Storage systems were analysed: Compressed Air Energy Storage (CAES) and Compressed Air Energy Storage combined with Thermal Storage (CAES-TS) connected to a district heating network. The maximum output of the CAES was 100 MWe and the output of the CAES-TS was 100 MWe and 105 MWth. The study shows that 308 GWh/… Show more

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Cited by 83 publications
(27 citation statements)
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“…Recently, the attention seems to be also devoted to small-size and/or innovative applications as confirmed by the technical literatures [6][7][8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 90%
“…Recently, the attention seems to be also devoted to small-size and/or innovative applications as confirmed by the technical literatures [6][7][8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 90%
“…The liquid piston compressor and expansion efficiency can be calculated using the polytropic index of compression and expansion in (9) and (15), respectively. The polytropic index is calculated from the -curve (pressure-temperature curve) considering 95% confidence interval valves.…”
Section: Liquid Piston Based Ocaesmentioning
confidence: 99%
“…Their analysis illustrated that drawbacks of existing CAES systems can be addressed by employing innovative CAES concepts. Bagdanavicius and Jenkins investigated the potential for using heat generated during compression stage of CAES with a district energy system [9]. Exergy and exergoeconomic analysis of CAES and CAES with thermal storage were performed by them.…”
Section: Introductionmentioning
confidence: 99%
“…The goal of exergoeconomic analysis is to determine the exergetic unit costs of the rational use and conservation of energy (Manesh et al, 2014;Bagdanavicius & Jenkins, 2014).…”
Section: Exergoeconomic Analysismentioning
confidence: 99%