Assessment of optimal pathways for power generation system in Ghana
This study applied the Open Source Energy Modelling System (OSeMOSYS), an optimisation model for long term energy planning, which is integrated in Long-range Energy Alternatives Planning (LEAP) to develop optimal generation pathways and dispatch scheduling of selected generating technologies for pow...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2017-01-01
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| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23311916.2017.1314065 |
| _version_ | 1797714192163143680 |
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| author | Albert K. Awopone Ahmed F. Zobaa Walter Banuenumah |
| author_facet | Albert K. Awopone Ahmed F. Zobaa Walter Banuenumah |
| author_sort | Albert K. Awopone |
| collection | DOAJ |
| description | This study applied the Open Source Energy Modelling System (OSeMOSYS), an optimisation model for long term energy planning, which is integrated in Long-range Energy Alternatives Planning (LEAP) to develop optimal generation pathways and dispatch scheduling of selected generating technologies for power generation in Ghana. Simulating conventional and non-conventional energy technologies, the study examines the technological, economic and environmental implications of renewable energy policies from 2010 to 2040. Sensitivity analyses were undertaken to determine the effect of varied development in non-conventional renewable energy technologies investment cost as well as fuel prices. The findings suggest that, with a comprehensive implementation of energy efficiency and other strategies, renewable energy technologies can contribute more than 70% of the generation requirement in Ghana by 2040. This will result in significant economic and environmental benefits as well as sustainability of the energy sector. |
| first_indexed | 2024-03-12T07:48:17Z |
| format | Article |
| id | doaj.art-e3ab97a1d37e4fd58cde6ff2fe536a30 |
| institution | Directory Open Access Journal |
| issn | 2331-1916 |
| language | English |
| last_indexed | 2024-03-12T07:48:17Z |
| publishDate | 2017-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Engineering |
| spelling | doaj.art-e3ab97a1d37e4fd58cde6ff2fe536a302023-09-02T20:50:35ZengTaylor & Francis GroupCogent Engineering2331-19162017-01-014110.1080/23311916.2017.13140651314065Assessment of optimal pathways for power generation system in GhanaAlbert K. Awopone0Ahmed F. Zobaa1Walter Banuenumah2Brunel University LondonBrunel University LondonUniversity of Education WinnebaThis study applied the Open Source Energy Modelling System (OSeMOSYS), an optimisation model for long term energy planning, which is integrated in Long-range Energy Alternatives Planning (LEAP) to develop optimal generation pathways and dispatch scheduling of selected generating technologies for power generation in Ghana. Simulating conventional and non-conventional energy technologies, the study examines the technological, economic and environmental implications of renewable energy policies from 2010 to 2040. Sensitivity analyses were undertaken to determine the effect of varied development in non-conventional renewable energy technologies investment cost as well as fuel prices. The findings suggest that, with a comprehensive implementation of energy efficiency and other strategies, renewable energy technologies can contribute more than 70% of the generation requirement in Ghana by 2040. This will result in significant economic and environmental benefits as well as sustainability of the energy sector.http://dx.doi.org/10.1080/23311916.2017.1314065ghanagreenhouse gasesleapoptimisationrenewable energyscenario |
| spellingShingle | Albert K. Awopone Ahmed F. Zobaa Walter Banuenumah Assessment of optimal pathways for power generation system in Ghana Cogent Engineering ghana greenhouse gases leap optimisation renewable energy scenario |
| title | Assessment of optimal pathways for power generation system in Ghana |
| title_full | Assessment of optimal pathways for power generation system in Ghana |
| title_fullStr | Assessment of optimal pathways for power generation system in Ghana |
| title_full_unstemmed | Assessment of optimal pathways for power generation system in Ghana |
| title_short | Assessment of optimal pathways for power generation system in Ghana |
| title_sort | assessment of optimal pathways for power generation system in ghana |
| topic | ghana greenhouse gases leap optimisation renewable energy scenario |
| url | http://dx.doi.org/10.1080/23311916.2017.1314065 |
| work_keys_str_mv | AT albertkawopone assessmentofoptimalpathwaysforpowergenerationsysteminghana AT ahmedfzobaa assessmentofoptimalpathwaysforpowergenerationsysteminghana AT walterbanuenumah assessmentofoptimalpathwaysforpowergenerationsysteminghana |