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A gridded optimization model for photovoltaic applications
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-1351-9245
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden.
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0003-3530-0209
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2020 (English)In: Solar Energy, ISSN 0038-092X, E-ISSN 1471-1257, Vol. 202, p. 465-484Article in journal (Refereed) Published
Abstract [en]

This study aims to develop a gridded optimization model for studying photovoltaic applications in Nordic countries. The model uses the spatial and temporal data generated by the mesoscale models STRÅNG and MESAN developed by the Swedish Meteorological and Hydrological Institute. The model is developed based on the comparison between five irradiance databases, three decomposition models, two transposition models, and two photovoltaic models. Several techno-economic and environmental aspects of photovoltaic systems and photovoltaic systems integrated with batteries are investigated from a spatial perspective. CM SAF SARAH-2, Engerer2, and Perez1990 have shown the best performances among the irradiance databases, and decomposition and transposition models, respectively. STRÅNG resulted in the second-best irradiance database to be used in Sweden for photovoltaic applications when comparing hourly global horizontal irradiance with weather station data. The developed model can be employed for carrying out further detailed gridded techno-economic assessments of photovoltaic applications and energy systems in general in Nordic countries. The model structure is generic and can be applied to every gridded climatological database worldwide.

Place, publisher, year, edition, pages
Elsevier Ltd , 2020. Vol. 202, p. 465-484
National Category
Energy Systems
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URN: urn:nbn:se:mdh:diva-47529DOI: 10.1016/j.solener.2020.03.076ISI: 000528209300040Scopus ID: 2-s2.0-85082930947OAI: oai:DiVA.org:mdh-47529DiVA, id: diva2:1424129
Available from: 2020-04-16 Created: 2020-04-16 Last updated: 2020-06-04Bibliographically approved

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Campana, Pietro EliaLundström, LukasNordlander, EvaStridh, BengtYan, Jinyue

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