Key performance indicators in thermal energy storage: Survey and assessment |
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| Affiliation: | 1. GREA Innovació Concurrent, Universitat de Lleida, Edifici CREA, Pere de Cabrera s/n, 25001, Lleida, Spain;2. Department of Materials Science & Metallurgical Engineering, Universitat de Barcelona, Martí i Franqués 1-11, 08028, Barcelona, Spain;3. Abengoa Research, C/Energía Solar 1, 41012, Seville, Spain;1. School of Energy and Environment, Southeast University, Nanjing 210096, China;2. Ministry of Education of Key Laboratory of Energy Thermal Conversion and Control, Southeast University, Nanjing 210096, China;3. Jiangsu Provincial Key Laboratory of Solar Energy Science and Technology, Southeast University, Nanjing 210096, China;1. Department of Food Engineering, URI – Campus de Erechim, Av. Sete de Setembro, 1621, Erechim, RS 99700-000, Brazil;2. Department of Chemical and Food Engineering, Federal University of Santa Catarina, Florianópolis, CEP 88800-000 Florianópolis, SC, Brazil;3. LASEFI/DEA/FEA (School of Food Engineering)/UNICAMP (University of Campinas), Rua Monteiro Lobato, 80, 13083-862 Campinas, SP, Brazil;4. Federal University of Fronteira Sul, Erechim, Av. Dom João Hoffmann, Erechim 99700-000, Brazil;5. Department of Chemical Engineering, Federal University of Santa Maria, Av. Roraima, 1000, Santa Maria, RS 97105-900, Brazil;1. Division of Engineering, Saint Mary''s University, Halifax, NS, B3H 3C3, Canada;2. Department of Electrical Engineering, Royal Military College, Kingston, ON, K7K 7B4, Canada;3. Department of Electrical Engineering, University of Nevada, Reno, USA |
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| Abstract: | Thermal energy storage (TES) is recognised as a key technology for further deployment of renewable energy and to increase energy efficiency in our systems. Several technology roadmaps include this technology in their portfolio to achieve such objectives. In this paper, a first attempt to collect, organise and classify key performance indicators (KPI) used for TES is presented. Up to now, only KPI for TES in solar power plants (CSP) and in buildings can be found. The listed KPI are quantified in the literature and compared in this paper. This paper shows that TES can only be implemented by policy makers if more KPI are identified for more applications. Moreover, close monitoring of the achievements of the already identified KPI needs to be carried out to demonstrate the potential of TES. |
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| Keywords: | Thermal energy storage (TES) Key performance indicator (KPI) Solar power plants (CSP) Buildings |
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