Analysis of Hybrid Grid-Connected Renewable Power Generation for Sustainable Electricity Supply in Sierra Leone
The provision of electricity in a reliable and sustainable manner in provincial towns and villages in the small West Africa state of Sierra Leone requires the adoption of appropriate technologies. The rapid increase in electricity demand has generated great interest in how to tackle a possible long-...
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description | The provision of electricity in a reliable and sustainable manner in provincial towns and villages in the small West Africa state of Sierra Leone requires the adoption of appropriate technologies. The rapid increase in electricity demand has generated great interest in how to tackle a possible long-lasting energy deficiency in the country. This paper aims at analyzing the techno-economic feasibility of a hybrid renewable energy system (HRES) for the sustainable rural electrification of Lungi Town, Port Loko District, Sierra Leone. Optimization, economic, reliability, and sustainability analyses were carried out using a genetic algorithm (GA), with the main objectives of minimizing the loss of power supply probability (LPSP) and cost of energy (COE). Three different case scenarios were configured, using a diesel generator (DG), wind/PV/DG/battery, and wind/PV/battery. Various combinations of these case scenarios were compared to determine which option was the most economically viable. In order to determine the case scenario with the lowest LPSP and COE, the operations and maintenance costs of the three cases were calculated. Using only DG for case one, the operations and maintenance cost amounted to USD 1050,348.12/year. The operation and maintenance cost for case two, which included wind/PV/DG/battery, was found to be USD 561,674.06/year. The operations and maintenance cost for case three, which included wind/PV/battery, was found to be USD 36,000/year. In standalone microgrids, however, the use of renewable energy sources is not reliable due to the uncertainty of renewable energy sources. Consequently, the simulation results show that the wind/PV/DG/battery-based HRES is the most cost-effective, reliable, and sustainable for the specific location in comparison to the current traditional method of electricity generation. Since there is abundant solar radiation with substantial wind speeds across the country, this HRES can be applied in most rural and remote areas in place of the current diesel generators (DGs) that are widely deployed in the country. |
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The rapid increase in electricity demand has generated great interest in how to tackle a possible long-lasting energy deficiency in the country. This paper aims at analyzing the techno-economic feasibility of a hybrid renewable energy system (HRES) for the sustainable rural electrification of Lungi Town, Port Loko District, Sierra Leone. Optimization, economic, reliability, and sustainability analyses were carried out using a genetic algorithm (GA), with the main objectives of minimizing the loss of power supply probability (LPSP) and cost of energy (COE). Three different case scenarios were configured, using a diesel generator (DG), wind/PV/DG/battery, and wind/PV/battery. Various combinations of these case scenarios were compared to determine which option was the most economically viable. In order to determine the case scenario with the lowest LPSP and COE, the operations and maintenance costs of the three cases were calculated. Using only DG for case one, the operations and maintenance cost amounted to USD 1050,348.12/year. The operation and maintenance cost for case two, which included wind/PV/DG/battery, was found to be USD 561,674.06/year. The operations and maintenance cost for case three, which included wind/PV/battery, was found to be USD 36,000/year. In standalone microgrids, however, the use of renewable energy sources is not reliable due to the uncertainty of renewable energy sources. Consequently, the simulation results show that the wind/PV/DG/battery-based HRES is the most cost-effective, reliable, and sustainable for the specific location in comparison to the current traditional method of electricity generation. Since there is abundant solar radiation with substantial wind speeds across the country, this HRES can be applied in most rural and remote areas in place of the current diesel generators (DGs) that are widely deployed in the country.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su132011435</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Alternative energy sources ; Carbon dioxide ; Developing countries ; Diesel generators ; Distributed generation ; Economic analysis ; Electric power demand ; Electricity ; Electricity distribution ; Electricity generation ; Electrification ; Emissions ; Energy ; Energy industry ; Energy sources ; Feasibility studies ; Fossil fuels ; Genetic algorithms ; Greenhouse gases ; LDCs ; Maintenance costs ; Optimization ; Optimization techniques ; Population ; Reliability analysis ; Renewable energy sources ; Renewable resources ; Rural areas ; Rural electrification ; Sensitivity analysis ; Solar radiation ; Sustainability ; Wind ; Wind speed</subject><ispartof>Sustainability, 2021-10, Vol.13 (20), p.11435</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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The rapid increase in electricity demand has generated great interest in how to tackle a possible long-lasting energy deficiency in the country. This paper aims at analyzing the techno-economic feasibility of a hybrid renewable energy system (HRES) for the sustainable rural electrification of Lungi Town, Port Loko District, Sierra Leone. Optimization, economic, reliability, and sustainability analyses were carried out using a genetic algorithm (GA), with the main objectives of minimizing the loss of power supply probability (LPSP) and cost of energy (COE). Three different case scenarios were configured, using a diesel generator (DG), wind/PV/DG/battery, and wind/PV/battery. Various combinations of these case scenarios were compared to determine which option was the most economically viable. In order to determine the case scenario with the lowest LPSP and COE, the operations and maintenance costs of the three cases were calculated. Using only DG for case one, the operations and maintenance cost amounted to USD 1050,348.12/year. The operation and maintenance cost for case two, which included wind/PV/DG/battery, was found to be USD 561,674.06/year. The operations and maintenance cost for case three, which included wind/PV/battery, was found to be USD 36,000/year. In standalone microgrids, however, the use of renewable energy sources is not reliable due to the uncertainty of renewable energy sources. Consequently, the simulation results show that the wind/PV/DG/battery-based HRES is the most cost-effective, reliable, and sustainable for the specific location in comparison to the current traditional method of electricity generation. Since there is abundant solar radiation with substantial wind speeds across the country, this HRES can be applied in most rural and remote areas in place of the current diesel generators (DGs) that are widely deployed in the country.</description><subject>Alternative energy sources</subject><subject>Carbon dioxide</subject><subject>Developing countries</subject><subject>Diesel generators</subject><subject>Distributed generation</subject><subject>Economic analysis</subject><subject>Electric power demand</subject><subject>Electricity</subject><subject>Electricity distribution</subject><subject>Electricity generation</subject><subject>Electrification</subject><subject>Emissions</subject><subject>Energy</subject><subject>Energy industry</subject><subject>Energy sources</subject><subject>Feasibility studies</subject><subject>Fossil fuels</subject><subject>Genetic algorithms</subject><subject>Greenhouse gases</subject><subject>LDCs</subject><subject>Maintenance costs</subject><subject>Optimization</subject><subject>Optimization techniques</subject><subject>Population</subject><subject>Reliability analysis</subject><subject>Renewable energy sources</subject><subject>Renewable resources</subject><subject>Rural areas</subject><subject>Rural electrification</subject><subject>Sensitivity analysis</subject><subject>Solar radiation</subject><subject>Sustainability</subject><subject>Wind</subject><subject>Wind speed</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUMFKAzEQDaJgqT35AwGPsppsku3mWEpthYJi9bwk6QRS1mRNdin798bWQ-cwb2Z4b-A9hO4peWJMkuc0UFYSSjkTV2hSkjktKBHk-mK-RbOUDiQXY1TSaoLCwqt2TC7hYPFm1NHt8Tq3Yhm8B9PDHn-Ah6PSLeD3cISI13mPqnfBYxsi3g2pV86fCKs2S6Izrh_zvevaETuPdw5iVHgLwcMdurGqTTD7xyn6ell9LjfF9m39ulxsC1PKui94qUWtqOA8A5ubEmBO7d5UspKaWS0UBaZqKSVwZUDWmlPDpbXaVDXP7qbo4fy3i-FngNQ3hzDE7DU1pai5EIxWJLMezywTQ0oRbNNF963i2FDS_IXaXITKfgFPxWoz</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Conteh, Foday</creator><creator>Takahashi, Hiroshi</creator><creator>Hemeida, Ashraf Mohamed</creator><creator>Krishnan, Narayanan</creator><creator>Mikhaylov, Alexey</creator><creator>Senjyu, Tomonobu</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-1418-1215</orcidid><orcidid>https://orcid.org/0000-0003-2478-0307</orcidid><orcidid>https://orcid.org/0000-0003-4494-6773</orcidid><orcidid>https://orcid.org/0000-0001-8192-9660</orcidid></search><sort><creationdate>20211001</creationdate><title>Analysis of Hybrid Grid-Connected Renewable Power Generation for Sustainable Electricity Supply in Sierra Leone</title><author>Conteh, Foday ; Takahashi, Hiroshi ; Hemeida, Ashraf Mohamed ; Krishnan, Narayanan ; Mikhaylov, Alexey ; Senjyu, Tomonobu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c298t-42b58a154458a37c2ee71fdc6969b3fb5a1e3a8999e4ace98b41c49ffbc684033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alternative energy sources</topic><topic>Carbon dioxide</topic><topic>Developing countries</topic><topic>Diesel generators</topic><topic>Distributed generation</topic><topic>Economic analysis</topic><topic>Electric power demand</topic><topic>Electricity</topic><topic>Electricity distribution</topic><topic>Electricity generation</topic><topic>Electrification</topic><topic>Emissions</topic><topic>Energy</topic><topic>Energy industry</topic><topic>Energy sources</topic><topic>Feasibility studies</topic><topic>Fossil fuels</topic><topic>Genetic algorithms</topic><topic>Greenhouse gases</topic><topic>LDCs</topic><topic>Maintenance costs</topic><topic>Optimization</topic><topic>Optimization techniques</topic><topic>Population</topic><topic>Reliability analysis</topic><topic>Renewable energy sources</topic><topic>Renewable resources</topic><topic>Rural areas</topic><topic>Rural electrification</topic><topic>Sensitivity analysis</topic><topic>Solar radiation</topic><topic>Sustainability</topic><topic>Wind</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Conteh, Foday</creatorcontrib><creatorcontrib>Takahashi, Hiroshi</creatorcontrib><creatorcontrib>Hemeida, Ashraf Mohamed</creatorcontrib><creatorcontrib>Krishnan, Narayanan</creatorcontrib><creatorcontrib>Mikhaylov, Alexey</creatorcontrib><creatorcontrib>Senjyu, Tomonobu</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Conteh, Foday</au><au>Takahashi, Hiroshi</au><au>Hemeida, Ashraf Mohamed</au><au>Krishnan, Narayanan</au><au>Mikhaylov, Alexey</au><au>Senjyu, Tomonobu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of Hybrid Grid-Connected Renewable Power Generation for Sustainable Electricity Supply in Sierra Leone</atitle><jtitle>Sustainability</jtitle><date>2021-10-01</date><risdate>2021</risdate><volume>13</volume><issue>20</issue><spage>11435</spage><pages>11435-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>The provision of electricity in a reliable and sustainable manner in provincial towns and villages in the small West Africa state of Sierra Leone requires the adoption of appropriate technologies. The rapid increase in electricity demand has generated great interest in how to tackle a possible long-lasting energy deficiency in the country. This paper aims at analyzing the techno-economic feasibility of a hybrid renewable energy system (HRES) for the sustainable rural electrification of Lungi Town, Port Loko District, Sierra Leone. Optimization, economic, reliability, and sustainability analyses were carried out using a genetic algorithm (GA), with the main objectives of minimizing the loss of power supply probability (LPSP) and cost of energy (COE). Three different case scenarios were configured, using a diesel generator (DG), wind/PV/DG/battery, and wind/PV/battery. Various combinations of these case scenarios were compared to determine which option was the most economically viable. In order to determine the case scenario with the lowest LPSP and COE, the operations and maintenance costs of the three cases were calculated. Using only DG for case one, the operations and maintenance cost amounted to USD 1050,348.12/year. The operation and maintenance cost for case two, which included wind/PV/DG/battery, was found to be USD 561,674.06/year. The operations and maintenance cost for case three, which included wind/PV/battery, was found to be USD 36,000/year. In standalone microgrids, however, the use of renewable energy sources is not reliable due to the uncertainty of renewable energy sources. Consequently, the simulation results show that the wind/PV/DG/battery-based HRES is the most cost-effective, reliable, and sustainable for the specific location in comparison to the current traditional method of electricity generation. Since there is abundant solar radiation with substantial wind speeds across the country, this HRES can be applied in most rural and remote areas in place of the current diesel generators (DGs) that are widely deployed in the country.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su132011435</doi><orcidid>https://orcid.org/0000-0002-1418-1215</orcidid><orcidid>https://orcid.org/0000-0003-2478-0307</orcidid><orcidid>https://orcid.org/0000-0003-4494-6773</orcidid><orcidid>https://orcid.org/0000-0001-8192-9660</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Alternative energy sources Carbon dioxide Developing countries Diesel generators Distributed generation Economic analysis Electric power demand Electricity Electricity distribution Electricity generation Electrification Emissions Energy Energy industry Energy sources Feasibility studies Fossil fuels Genetic algorithms Greenhouse gases LDCs Maintenance costs Optimization Optimization techniques Population Reliability analysis Renewable energy sources Renewable resources Rural areas Rural electrification Sensitivity analysis Solar radiation Sustainability Wind Wind speed |
title | Analysis of Hybrid Grid-Connected Renewable Power Generation for Sustainable Electricity Supply in Sierra Leone |
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