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Matching characteristics and AC performance of the photovoltaic-driven air conditioning system
College of Civil Engineering, Hunan University, Changsha, 410082, China; Key Laboratory of Building Safety and Energy Efficiency of the Ministry of Education, Changsha, China.
Department of Materials Science and Engineering, University of Michigan, Ann Arbor, 48109, MI, United States.
College of Civil Engineering, Hunan University, Changsha, 410082, China; Key Laboratory of Building Safety and Energy Efficiency of the Ministry of Education, Changsha, China.
College of Civil Engineering, Hunan University, Changsha, 410082, China; Key Laboratory of Building Safety and Energy Efficiency of the Ministry of Education, Changsha, China.
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2023 (English)In: Energy, ISSN 0360-5442, E-ISSN 1873-6785, Vol. 264, article id 126509Article in journal (Refereed) Published
Abstract [en]

Photovoltaic-driven Air Conditioning systems (PVAC) use local electricity generated by distributed Photovoltaic (PV) to drive Air Conditioners (AC). Both the AC cooling load and the PV electricity generation are affected by solar radiation. The PV generation cannot dynamically supply the AC power consumption during the operation. In this study, the matching characteristics of a PVAC were investigated using a case in a 207.34 m2 office room. A coupled simulation model was built, which integrated with a building model, a PV calculation model, an AC model, and a control strategy. More specifically, the AC was modeled with two heat exchangers, a compressor, and a throttling device. Both the building and the PV were simulated in EnergyPlus. The AC compressor speed was controlled so the AC power consumption could match the PV generation when the indoor temperature was within the temperature control zone. The daily matching characteristics of PVAC were strongly affected by the PV capacity. The results showed that the PV factor (PVF) should be set to 1 in order to match the AC and PV power and maximize the AC efficiency. A battery factor of at least 0.7 could ensure the grid flexibility. Finally, the optimized design of PV, battery, and AC capacities was suggested.

Place, publisher, year, edition, pages
2023. Vol. 264, article id 126509
Keywords [en]
Air conditioning, Flexibility, Modeling, Photovoltaic-driven air conditioning, Photovoltaics
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-61456DOI: 10.1016/j.energy.2022.126509ISI: 000918823200001Scopus ID: 2-s2.0-85145334967OAI: oai:DiVA.org:mdh-61456DiVA, id: diva2:1725613
Available from: 2023-01-11 Created: 2023-01-11 Last updated: 2023-02-15Bibliographically approved

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Yan, Jinyue

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