100% RENEWABLE ENERGY A SOLUTION TO GHANA'S LONG-STANDING POWER CRISES / ISAAC YANKEY; PROF. DR. MEHMET KUŞAF

Yazar: Katkıda bulunan(lar):Dil: İngilizce 2022Tanım: 60 sheets; 31 cm. Includes CDİçerik türü:
  • text
Ortam türü:
  • unmediated
Taşıyıcı türü:
  • volume
Konu(lar): Tez notu: Thesis (MSc) - Cyprus International University. Institute of Graduate Studies and Research Electrical and Electronics Engineering Department Özet: ABSTRACT 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
Materyal türü: Thesis
Mevcut
Materyal türü Geçerli Kütüphane Koleksiyon Yer Numarası Durum Notlar İade tarihi Barkod Materyal Ayırtmaları
Thesis Thesis CIU LIBRARY Tez Koleksiyonu Tez Koleksiyonu YL 2588 Y26 2022 (Rafa gözat(Aşağıda açılır)) Kullanılabilir Electrical and Electronics Engineering Department T2914
Suppl. CD Suppl. CD CIU LIBRARY Görsel İşitsel YL 2588 Y26 2022 (Rafa gözat(Aşağıda açılır)) Kullanılabilir Electrical and Electronics Engineering Department CDT2914
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Thesis (MSc) - Cyprus International University. Institute of Graduate Studies and Research Electrical and Electronics Engineering Department

Includes bibliography (sheets 55-60)

ABSTRACT 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

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