Exergy and exergoeconomic analysis of a Compressed Air Energy Storage combined with a district energy system

被引:79
作者
Bagdanavicius, Audrius [1 ]
Jenkins, Nick [1 ]
机构
[1] Cardiff Univ, Cardiff Sch Engn, Inst Energy, Cardiff CF24 3AA, S Glam, Wales
基金
英国工程与自然科学研究理事会; 英国自然环境研究理事会;
关键词
Compressed Air Energy Storage; Thermal energy storage; Exergy analysis; Exergoeconomic analysis; WIND POWER; THERMODYNAMIC CYCLES; CONCEPTUAL DESIGN; HEAT INTEGRATION; CAES SYSTEM; PLANT; METHODOLOGY; ELECTRICITY; MODEL; PART;
D O I
10.1016/j.enconman.2013.09.063
中图分类号
O414.1 [热力学];
学科分类号
摘要
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 GW h/year of electricity and 466 GW h/year of fuel are used to generate 375 GW h/year of electricity. During the compression of air 289 GW h/year of heat is generated, which is wasted in the CAES and used for district heating in the CAES-TS system. Energy efficiency of the CAES system was around 48% and the efficiency of CAES-TS was 86%. Exergoeconomic analysis shows that the exergy cost of electricity generated in the CAES was 13.89 cent/kW h, and the exergy cost of electricity generated in the CAES-cent TS was 11.20 cent/kW h. The exergy cost of heat was 22.24 cent/kW h in the CAES-TS system. The study shows that CAES-TS has the potential to be used both as energy storage and heat source and could be a useful tool for balancing overall energy demand and supply. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:432 / 440
页数:9
相关论文
共 31 条
[21]   Conceptual design of a thermo-electrical energy storage system based on heat integration of thermodynamic cycles - Part A: Methodology and base case [J].
Morandin, Matteo ;
Marechal, Francois ;
Mercangoez, Mehmet ;
Buchter, Florian .
ENERGY, 2012, 45 (01) :375-385
[22]   Modeling and simulation of compressed air storage in caverns: A case study of the Huntorf plant [J].
Raju, Mandhapati ;
Khaitan, Siddhartha Kumar .
APPLIED ENERGY, 2012, 89 (01) :474-481
[23]   Compressed air energy storage (CAES) with compressors distributed at heat loads to enable waste heat utilization [J].
Safaei, Hossein ;
Keith, David W. ;
Hugo, Ronald J. .
APPLIED ENERGY, 2013, 103 :165-179
[24]  
Schainker RB, 2008, CEC5002008069 PIER E
[25]   Optimization of specific rating for wind turbine arrays coupled to compressed air energy storage [J].
Succar, Samir ;
Denkenberger, David C. ;
Williams, Robert H. .
APPLIED ENERGY, 2012, 96 :222-234
[26]   Evaluating energy storage technologies for wind power integration [J].
Sundararagavan, Sandhya ;
Baker, Erin .
SOLAR ENERGY, 2012, 86 (09) :2707-2717
[27]   THERMOECONOMIC ANALYSIS AND OPTIMIZATION OF ENERGY-SYSTEMS [J].
TSATSARONIS, G .
PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 1993, 19 (03) :227-257
[28]   Optimal sizing of the CAES system in a power system with high wind power penetration [J].
Wang, S. Y. ;
Yu, J. L. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 37 (01) :117-125
[29]  
Wilkes J, 2013, WIND POWER 2012 EURO, P14
[30]   Modeling of financial incentives for investments in energy storage systems that promote the large-scale integration of wind energy [J].
Zafirakis, Dimitrios ;
Chalvatzis, Konstantinos J. ;
Baiocchi, Giovanni ;
Daskalakis, George .
APPLIED ENERGY, 2013, 105 :138-154