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  • Open Access

    ARTICLE

    Effect of Nanomaterials Addition to Phase Change Materials on Heat Transfer in Solar Panels under Iraqi Atmospheric Conditions

    Majid Ahmed Mohammed1, Abdullah Talab Derea2, Mohammed Yaseen Lafta3, Obed Majeed Ali1, Omar Rafae Alomar4,*

    Frontiers in Heat and Mass Transfer, Vol.21, pp. 215-226, 2023, DOI:10.32604/fhmt.2023.041668

    Abstract It is common knowledge that phase-change materials are used for the purpose of thermal storage because of the characteristics that are exclusive to these materials and not found in others. These characteristics include a large capacity for absorbing heat and a large capacity for releasing heat when the phase changes; however, these materials have a low thermal conductivity. This paper presents the results of an experimental study that investigated the impact that nanoparticles of copper oxide had on reducing the temperature of solar panels. The phase change substance that was used was determined to be beeswax. The impact of adding… More >

  • Open Access

    ARTICLE

    Automated Classification of Snow-Covered Solar Panel Surfaces Based on Deep Learning Approaches

    Abdullah Ahmed Al-Dulaimi1,*, Muhammet Tahir Guneser1, Alaa Ali Hameed2, Mohammad Shukri Salman3

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2291-2319, 2023, DOI:10.32604/cmes.2023.026065

    Abstract Recently, the demand for renewable energy has increased due to its environmental and economic needs. Solar panels are the mainstay for dealing with solar energy and converting it into another form of usable energy. Solar panels work under suitable climatic conditions that allow the light photons to access the solar cells, as any blocking of sunlight on these cells causes a halt in the panels work and restricts the carry of these photons. Thus, the panels are unable to work under these conditions. A layer of snow forms on the solar panels due to snowfall in areas with low temperatures.… More > Graphic Abstract

    Automated Classification of Snow-Covered Solar Panel Surfaces Based on Deep Learning Approaches

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