Browsing by Author "Efrem Negussie"

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    Roof Top Photovoltaic Energy Potential Mapping. Case Study of Jemo-1 Condominium Site; Addis Ababa, Ethiopia
    (Addis Ababa University, 2024-07) Efrem Negussie; Tilahun Nigussie (PhD)
    This study addresses energy potential mapping from photovoltaic panels on rooftops, focusing on geographic, physical, technical, and economic constraints for viable energy prediction. The research was conducted in Jemo condominium housing, representing typical living conditions. Geographic location potential, rooftop orientation for solar insolation, and technical potential aligned with energy demand scenarios were analyzed. Economic potential was also assessed. The adoption of solar PV systems in urban residential houses promises sustainable energy provision. This study evaluates solar energy feasibility through PV applications on rooftops, aiming for self-sufficiency in electrical energy, reduced carbon emissions, and alleviated energy scarcity. Secondary data were used to predict energy potentials via empirical formulations, spreadsheets, graphical analyses, and simulations. Optimal PV system performance was analyzed by incidence angle, azimuth classes, and roof slope. Google Earth was used to quantify physical potential by scanning rooftop orientations and directions. Technical potential was assessed by considering specific modules and their characteristics. Scenarios related to demand, supply, and backup were examined to predict optimums. Economic potential analysis concluded that a building block in Jemo-1 can pay 19,864.00 ETB per month for PV electric service. With a 143 m² rooftop area, 108 solar panels (1.31 m² each) and 7.2 kWhr additional power from storage equipment were determined. The capital investment for this setup is 1,462,406.40 ETB for a demand size of 14.26 kWhr/day or 5,205 kWhr annually. A 15-year life cycle and future worth assessment at local interest conditions suggest a capital investment of 805,649.00 ETB. A GHG effect analysis showed an annual emission of 1,077 kg CO2 from the conventional grid and 1,540 kg CO2 from the PV system, a 42% increase for the PV system.