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Renewable Energy

Article . 2022 . Peer-reviewed

License: Elsevier TDM

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A parametric assessing and intelligent forecasting of the energy and exergy performances of a dish concentrating photovoltaic/thermal collector considering six different nanofluids and applying two meticulous soft computing paradigms

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2022Publisher:Elsevier BVJournal:Renewable Energy, volume 193, pages 149-166 (issn: 0960-1481,

Authors: Ighball Baniasad Askari; Amin Shahsavar; Mehdi Jamei; Francesco Calise; Masoud Karbasi;

doi: 10.1016/j.renene.2022.04.155

A parametric assessing and intelligent forecasting of the energy and exergy performances of a dish concentrating photovoltaic/thermal collector considering six different nanofluids and applying two meticulous soft computing paradigms

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Top 10%

Average

Top 10%

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

Related to Research communities

Aurora Universities Network

Energy Research