000			03072nam a22003137a 4500
003			KOHA
005			20230425104448.0
008			221010d2022 cy ||||| m||| 00| 0 eng d
040			_aCY-NiCIU _beng _cCY-NiCIU _erda
041			_aeng
090			_aYL 2588 _bY26 2022
100	1		_aYankey, Isaac
245	1	0	_a100% RENEWABLE ENERGY A SOLUTION TO GHANA'S LONG-STANDING POWER CRISES / _cISAAC YANKEY; PROF. DR. MEHMET KUŞAF
264			_c2022
300			_a60 sheets; _c31 cm. _eIncludes CD
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
502			_aThesis (MSc) - Cyprus International University. Institute of Graduate Studies and Research Electrical and Electronics Engineering Department
504			_aIncludes bibliography (sheets 55-60)
520			_aABSTRACT Given the recurring power crises in Ghana and also the urgent need to cut down greenhouse gas emissions, research has recommended the need to transition to a much cleaner and sustainable energy. Therefore, this research looked at designing a hybrid renewable system that can meet the energy demand in the Kpando area of Ghana in the Kpando municipal district of the Volta region. In this work a standalone hybrid system (solar-biomass) was studied. The aim was to determine the optimal size of components that can fulfil the energy demand of the area. To do this, particle swamp algorithm PSO was employed along with MATLAB 2016a software. The tests were conducted with two different components set in the installation location. Solar Irradiance and temperature ambient data was collected from a radiation database PVIS-SARAH and an hourly load data for a day was also sourced from the electricity company of Ghana (ECG). The size of components suggested by the PSO algorithm for grid-tied system included; 16479kW solar PV and 1kW biomass gasifier thus a total power capacity of 16480kW at an LCOE 0.269$/kWh. On the standalone system it suggested 82635kW solar PV, 308963/kWh battery energy thus 1256 batteries and 14956kW biomass gasifier thus 299 biomass gasifiers which together corresponds to a total system capacity of 406554kW at an LCOE at 0.38$/kWh given a total load demand of 99290238kW/h. Results obtain from the PSO algorithm was checked with antlion algorithm which showed similar and different convergence of the fitness function for different component sets. The behaviors of both systems were observed, and from the results obtained it is evident that the proposed system can effectively satisfy the energy demand with the same optimal configuration. Keywords: Antlion Algorithm, Battery Storage System, Biomass Energy, Hybrid System, Particle Swamp Algorithm, Solar Energy
650		0	_aElectric batteries _vDissertations, Academic
650		0	_aBiomass energy _vDissertations, Academic
650		0	_aHybrid systems _vDissertations, Academic
650		0	_aSolar energy _vDissertations, Academic
700	1		_aKuşaf, Mehmet _esupervisor
942			_2ddc _cTS
999			_c285373 _d285373