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Combating climate change issues resulting from excessive use of fossil fuels comes with huge initial costs, thereby posing difficult challenges for the least developed countries in Sub-Saharan Africa (SSA) to invest in renewable energy alternatives, especially with rapid industrialization. However, designing renewable energy systems usually hinges on different economic and environmental criteria. This paper used the Multi-Objective Particle Swarm Optimization (MOPSO) technique to optimally size ten grid-connected hybrid blocks selected amongst Photo-Voltaic (PV) panels, onshore wind turbines, biomass combustion plant using sugarcane bagasse, Battery Energy Storage System (BESS), and Diesel Generation (DG) system as backup power, to reduce the supply deficit in Sierra Leone. Resource assessment using well-known methods was done for PV, wind, and biomass for proposed plant sites in Kabala District in Northern and Kenema District in Southern Sierra Leone. Long term analysis was done for the ten hybrid blocks projected over 20 years whilst ensuring the following objectives: minimizing the Deficiency of Power Supply Probability (DPSP), Diesel Energy Fraction (DEF), Life Cycle Costs (LCC), and carbon dioxide (CO 2 ) emissions. Capacity factors of 27.41 % and 31.6 % obtained for PV and wind, respectively, indicate that Kabala district is the most feasible location for PV and wind farm installations. The optimum results obtained are compared across selected blocks for DPSP values of 0–50% to determine the most economical and environmentally friendly alternative that policy makers in Sierra Leone and the region could apply to similar cases.
David Konneh; Harun Howlader; Ryuto Shigenobu; Tomonobu Senjyu; Shantanu Chakraborty; Narayanan Krishna. A Multi-Criteria Decision Maker for Grid-Connected Hybrid Renewable Energy Systems Selection Using Multi-Objective Particle Swarm Optimization. Sustainability 2019, 11, 1188 .
AMA StyleDavid Konneh, Harun Howlader, Ryuto Shigenobu, Tomonobu Senjyu, Shantanu Chakraborty, Narayanan Krishna. A Multi-Criteria Decision Maker for Grid-Connected Hybrid Renewable Energy Systems Selection Using Multi-Objective Particle Swarm Optimization. Sustainability. 2019; 11 (4):1188.
Chicago/Turabian StyleDavid Konneh; Harun Howlader; Ryuto Shigenobu; Tomonobu Senjyu; Shantanu Chakraborty; Narayanan Krishna. 2019. "A Multi-Criteria Decision Maker for Grid-Connected Hybrid Renewable Energy Systems Selection Using Multi-Objective Particle Swarm Optimization." Sustainability 11, no. 4: 1188.
The need for Sierra Leone, like every other country in Sub-Saharan Africa, to improve its electricity supply in order to enhance energy access for all thereby improving economic growth has become imminent. With a small population of about 7 million, the daily supply is not guaranteed and is far below the demand. With the huge renewable energy potential of Solar (1600kWh/m2/year), hydro (more than 2500MW for 27 sites), and biomass, (about 2500 GWh/year) that the country boasts of for its small population, urgent environmentally friendly and cost effective measures have to be taken to improve on the current socio economic conditions. In this work, Multi-objective Particle Swarm Optimization (MOPSO) technique was used to optimally size governmental rooftop and ground-mounted grid connected Photovoltaic (PV) panels and Battery Energy Storage System (BESS) in a bid to reduce the supply deficit in the capital, Freetown. The objectives considered in this contribution are maximizing daily generation and minimizing daily hybrid generation cost.
David Abdul Konneh; Mohammed Lotfy; Ryuto Shigenobu; Tomonobu Senjyu. Optimal Sizing of Grid-connected Renewable Energy System in Freetown Sierra Leone. IFAC-PapersOnLine 2018, 51, 191 -196.
AMA StyleDavid Abdul Konneh, Mohammed Lotfy, Ryuto Shigenobu, Tomonobu Senjyu. Optimal Sizing of Grid-connected Renewable Energy System in Freetown Sierra Leone. IFAC-PapersOnLine. 2018; 51 (28):191-196.
Chicago/Turabian StyleDavid Abdul Konneh; Mohammed Lotfy; Ryuto Shigenobu; Tomonobu Senjyu. 2018. "Optimal Sizing of Grid-connected Renewable Energy System in Freetown Sierra Leone." IFAC-PapersOnLine 51, no. 28: 191-196.