SAEIDSAEID, ZAKARIYA ALI (2020) FUZZY LOGIC FOR DETERMINING THE POTENTIAL OF SOLAR ENERGY POWER PLANT IN SOUTH LIBYA. Masters thesis, Universitas Islam Sultan Agung.
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Abstract
Energy models also help in integrated assessment considering availability, potential, economics, emission, technology, social acceptance etc Libya is an oil exporting country located in the middle of North Africa, with 6 million inhabitants distributed over an area of 1,750,000 Km2. The problem of this research is the potential of solar energy that is used can be used to overcome the energy needs in South Libya where people are densely populated but need a lot of electrical energy. The potential energy needs of electricity are big because south of Libya many densely populated people need big electricity. Also whether the function of Fuzzy logic is to be able to do the right way to map an input space into an output space based on the concept of fuzzy.The objective of this research is to analyse potential of solar energy generation using fuzzy logic in South Libya. The authenticity of this research is using fuzzy logic in South Libya to overcome the problem that is the demand of huge electricity from solar energy generation. Tools or material used is the simulation of Fuzzy Logic and analysis using Matlab program based on Mamdani model. There are 3 parameters inputs that influence of the performance output. The parameters are solar radiation; temperature; and wide of land used (m2). The variable outputs variable is power production estimation (Watt). The solar radiation is provide as averaged data sequential in a yearThe fuzzy logic method can be applied in determining the level of the function, the implications in the calculation are still acceptable, resulting in a value function for fuzzy logic. The conclusion is: It’s verified that the performance of potential solar energy production based on clearness index, wide of land and temperature using fuzzy algorithm has been performed well. A proposed algorithm has shown that lowest clearness index of solar irradiance could be perform well to combat low energy production during low absorption of PV panels. Moreover, in high clearness index, the fuzzy algorithm could perform high achievement of energy production of solar energy. It was shown that the performance of solar energy production has resulting in an average production above the value of 25, which means that production based on fuzzy algorithm could increases more than 70% from conventional calculations. Keywords: solar irradiance index, PV panel, Solar Energy, Capacity of the Solar Production, Solar Production Estimation
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Pascasarjana Pascasarjana > Magister Teknik elektro |
| Depositing User: | Pustakawan 4 UNISSULA |
| Date Deposited: | 12 Jan 2022 03:48 |
| Last Modified: | 12 Jan 2022 03:48 |
| URI: | http://repository.unissula.ac.id/id/eprint/21566 |
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