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More Efficiency of Solar Energy System in Libya Using Artificial Intelligence (Fuzzy Logic Control)

  • Zenodo (CERN European Organization for Nuclear Research)
  • European Organization for Nuclear Research
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Abstract

Recently, the entire world is facing the problem of energy. One method of harnessing incident solar radiation<br> to generate power without releasing carbon dioxide (CO2) is solar photovoltaic (PV) energy. So, it's critical<br> to give a broad summary of Libya's current energy production situation. The purpose of this paper was to shed<br> light on the energy issues that the Libyan state is now dealing with, as well as the potential for diagnosing and<br> outlining a plan for developing and locating solutions that make the most<br> of solar radiation. The majority of the nation's energy consumption—roughly 36%—comes from residential<br> building loads. This paper focus to how solar PV is currently being used in Libya and suggests using artificial<br> intelligence as a controller to boost the effectiveness of the solar energy system. Using Fuzzy Logic controller<br> (FLC) to collect the largest amount of energy which can reach 95% or more, by control tracking the radiation<br> of the solar, cleaning and control on the temperature solar board.

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DOI
10.5281/zenodo.8077695
OpenAlex
W4381832927
Document type
article
Language
EN
Source
Zenodo (CERN European Organization for Nuclear Research)
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