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Energy storage systems for refrigerated warehouses
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Tianjin University, Tianjin, China; Tianjin University of Commerce, Tianjin, China.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-1351-9245
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Tianjin University of Commerce, Tianjin, China.ORCID iD: 0000-0002-6279-4446
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0003-0300-0762
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2017 (English)In: Energy Procedia, ISSN 1876-6102, Vol. 143, p. 94-99Article in journal (Refereed) Published
Abstract [en]

To reduce the peak load, dynamic electricity price schemes have been widely used. Refrigerated warehouses consume a large amount of energy, most of which happens during the daytime due to the higher ambient temperature. This work evaluated the potential benefits of integrating energy storage in the refrigerated warehouses. Two types of energy storage systems have been considered, including a cold energy storage system and an electrical energy storage system. A dynamic model has been developed in TRNSYS to study the performance of those two energy storage systems and assess the benefits. Results show that using the cold energy storage to shift power consumption from daytime to nighttime can increase the energy efficiency of the refrigeration system. However, as the electrical energy storage system can shift more power consumption, it can achieve a large cost saving. Compared to the reference system without energy storage, the introductions of a cold energy storage system and an electrical energy storage system can reduce the operational cost by 10 and 53.7% respectively. 

Place, publisher, year, edition, pages
Elsevier Ltd , 2017. Vol. 143, p. 94-99
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-38583DOI: 10.1016/j.egypro.2017.12.653ISI: 000426865600014Scopus ID: 2-s2.0-85040831570OAI: oai:DiVA.org:mdh-38583DiVA, id: diva2:1181308
Available from: 2018-02-08 Created: 2018-02-08 Last updated: 2023-08-28Bibliographically approved

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Publisher's full textScopushttps://reader.elsevier.com/reader/sd/E1016C9C255EA58A31A80FF899698A2F0D7A34C94C6AC9A4BC4780CDFC1A70BD0644249EF5DD198D3A6B1913565256C5

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Campana, Pietro EliaLi, HailongYan, Jinyue

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