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Optimizing photovoltaic thermal (PVT) collector selection: A multi-criteria decision-making (MCDM) approach for renewable energy systems
Kingston University London, UK.
MG Sustainable Engineering AB, Sweden; University of Oldenburg, Germany.
MG Sustainable Engineering AB, Sweden.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science, Energy Systems and Building Technology.ORCID iD: 0000-0002-8156-2587
2024 (English)In: Heliyon, E-ISSN 2405-8440, Vol. 10, no 6, article id e27605Article in journal (Refereed) Published
Abstract [en]

In the realm of renewable energy systems, the effective selection of Photovoltaic Thermal (PVT) collectors is important. This study delves into the intricacies of choosing optimal PVT collectors available in the market, emphasizing the utility of Multiple Criteria Decision Making (MCDM) methodologies. PVT collectors are differentiated based on various aspects such as their transparent front cover presence and the medium—liquid or air—used for heat transfer. The study methodologically identifies commercially available PVT collectors and establishes key performance indicators for comparison. Using an 11-point fuzzy scale, a weight matrix is determined. Subsequently, advanced MCDM techniques, including PROMETHEE II, TOPSIS, EDAS, and VIKOR, are employed to rank the alternatives. This research not only provides a systematic approach to PVT collector selection but also extends to a MATLAB-based tool for facilitating the process. The results underscore the value of the proposed methodologies in refining the selection of PVT collectors and their potential adaptability to other applications, such as PVT collector design.

Place, publisher, year, edition, pages
Elsevier , 2024. Vol. 10, no 6, article id e27605
Keywords [en]
MCDM, TOPSIS, VIKOR, Target based selection, PVT selection
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:hig:diva-43977DOI: 10.1016/j.heliyon.2024.e27605ISI: 001251087600001PubMedID: 38533027Scopus ID: 2-s2.0-85188250996OAI: oai:DiVA.org:hig-43977DiVA, id: diva2:1847957
Funder
EU, Horizon 2020, 101000785EU, Horizon 2020, 814865Available from: 2024-04-01 Created: 2024-04-01 Last updated: 2024-06-29Bibliographically approved

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Gomes, João

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CiteExportLink to record
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Citation style
  • apa
  • harvard-cite-them-right
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  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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