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Energy-efficient smart solar system cooling for real-time dynamic weather changes in mild-climate regions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F23%3A00573492" target="_blank" >RIV/60077344:_____/23:00573492 - isvavai.cz</a>

  • Alternative codes found

    RIV/60076658:12310/23:43906705

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1364032123002046/pdfft?md5=5b8ac989afb8a105c811ad1c04cdbb21&pid=1-s2.0-S1364032123002046-main.pdf" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1364032123002046/pdfft?md5=5b8ac989afb8a105c811ad1c04cdbb21&pid=1-s2.0-S1364032123002046-main.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.rser.2023.113347" target="_blank" >10.1016/j.rser.2023.113347</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Energy-efficient smart solar system cooling for real-time dynamic weather changes in mild-climate regions

  • Original language description

    With changes in climatic conditions, the performance of photovoltaic power plant installations fluctuates, mainly due to excessive heat. The question of their efficient cooling comes to the fore, especially direct cooling, either by cooling media or air. Here, it is proven that the active cooling of photovoltaic panels leads to an increase in the performance, but the overall costs may exceed the benefits (especially for smaller/household installations). Moreover, in conventional approaches, increasing efficiency does not take into account sudden weather changes in the areas that have long been considered stable, such as the temperate climate zone. The proposed solution addresses the maximum number of parameters that can affect the cooling efficiency and introduces effortless rapid decision making system to ensure whether the conditions for active smart cooling are met or not. Parameters such as the amount of cooling medium (rainwater), its temperature, flow control, panel temperature, and the current prediction of local weather conditions based on the rapid changes in barometric pressure are monitored and then used for intelligent automation. By implementing efficient cooling system control that has to evaluate series of input parameters in real-time it was experimentally verified that the performance of photovoltaic panel installation using the spray cooling control system achieves average performance improvement of 14%.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20704 - Energy and fuels

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Renewable & Sustainable Energy Reviews

  • ISSN

    1364-0321

  • e-ISSN

    1879-0690

  • Volume of the periodical

    182

  • Issue of the periodical within the volume

    AUG 01

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    113347

  • UT code for WoS article

    001012545100001

  • EID of the result in the Scopus database

    2-s2.0-85160540266