Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS
This work uses bottom-up modeling to explore the future evolution trajectories of the electricity mix in Togo by 2050. The objective is to investigate the evolution of the mix and the future investments needed to achieve the sustainable energy and climate change goals. Three scenarios were developed...
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| Format: | Article |
| Language: | English |
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Diponegoro University
2023-03-01
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| Series: | International Journal of Renewable Energy Development |
| Subjects: | |
| Online Access: | https://ijred.cbiore.id/index.php/ijred/article/view/50104 |
| _version_ | 1797449753072500736 |
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| author | Esso-Wazam Honoré Tchandao Akim Adekunlé Salami Koffi Mawugno Kodjo Amy Nabiliou Seydou Ouedraogo |
| author_facet | Esso-Wazam Honoré Tchandao Akim Adekunlé Salami Koffi Mawugno Kodjo Amy Nabiliou Seydou Ouedraogo |
| author_sort | Esso-Wazam Honoré Tchandao |
| collection | DOAJ |
| description | This work uses bottom-up modeling to explore the future evolution trajectories of the electricity mix in Togo by 2050. The objective is to investigate the evolution of the mix and the future investments needed to achieve the sustainable energy and climate change goals. Three scenarios were developed using OSeMOSYS. The reference scenario, named Business As Usual, closely reflects the evolution of the Togolese electricity sector under a business-as-usual assumption and planned capacity increases up to 2030. The second scenario, Net Zero by 2050, is based on the first scenario while ensuring that CO2 emissions cancel out in 2050 by following the Weibull law. The third scenario called Emission Penalty aims not only at the integration of renewable energies like the second one but also at the least cost electricity mix if emission penalties are applied. The results of the cost optimization indicate that photovoltaic and importation are the optimal choices ahead of gas and hydropower. The renewable energy aspect of the electricity mix is more highlighted in the last scenario. At the same time, the model shows that greater energy independence is achievable at the cost of a transitory increase in the cost of the electricity system. A tenfold investment effort is needed in 2030 to ensure either continuity of the status quo or a shift in strategy. |
| first_indexed | 2024-03-09T14:30:31Z |
| format | Article |
| id | doaj.art-3cf951fc669e4c12a648aa1918b777b5 |
| institution | Directory Open Access Journal |
| issn | 2252-4940 |
| language | English |
| last_indexed | 2024-03-09T14:30:31Z |
| publishDate | 2023-03-01 |
| publisher | Diponegoro University |
| record_format | Article |
| series | International Journal of Renewable Energy Development |
| spelling | doaj.art-3cf951fc669e4c12a648aa1918b777b52023-11-28T02:08:37ZengDiponegoro UniversityInternational Journal of Renewable Energy Development2252-49402023-03-0112243043910.14710/ijred.2023.5010421705Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYSEsso-Wazam Honoré Tchandao0https://orcid.org/0000-0002-2472-1967Akim Adekunlé Salami1https://orcid.org/0000-0002-0917-1231Koffi Mawugno Kodjo2https://orcid.org/0000-0001-5674-2212Amy Nabiliou3https://orcid.org/0000-0003-2852-0772Seydou Ouedraogo4https://orcid.org/0000-0003-1522-0834Centre d'Excellence Régional pour la Maîtrise de l'Electricité (CERME), Université de Lomé, 01 BP 1515 Lomé 01, TogoCentre d'Excellence Régional pour la Maîtrise de l'Electricité (CERME), Université de Lomé, 01 BP 1515 Lomé 01, TogoCentre d'Excellence Régional pour la Maîtrise de l'Electricité (CERME), Université de Lomé, 01 BP 1515 Lomé 01, TogoCentre d'Excellence Régional pour la Maîtrise de l'Electricité (CERME), Université de Lomé, 01 BP 1515 Lomé 01, TogoLaboratoire de Recherche en Sciences de l’Ingénieur (LARSI), Département de Génie Électrique, Institut Universitaire de Technologie, Université Nazi BONI, 01 BP 1091 Bobo-Dioulasso 01, Burkina FasoThis work uses bottom-up modeling to explore the future evolution trajectories of the electricity mix in Togo by 2050. The objective is to investigate the evolution of the mix and the future investments needed to achieve the sustainable energy and climate change goals. Three scenarios were developed using OSeMOSYS. The reference scenario, named Business As Usual, closely reflects the evolution of the Togolese electricity sector under a business-as-usual assumption and planned capacity increases up to 2030. The second scenario, Net Zero by 2050, is based on the first scenario while ensuring that CO2 emissions cancel out in 2050 by following the Weibull law. The third scenario called Emission Penalty aims not only at the integration of renewable energies like the second one but also at the least cost electricity mix if emission penalties are applied. The results of the cost optimization indicate that photovoltaic and importation are the optimal choices ahead of gas and hydropower. The renewable energy aspect of the electricity mix is more highlighted in the last scenario. At the same time, the model shows that greater energy independence is achievable at the cost of a transitory increase in the cost of the electricity system. A tenfold investment effort is needed in 2030 to ensure either continuity of the status quo or a shift in strategy.https://ijred.cbiore.id/index.php/ijred/article/view/50104bottom-up modelingrenewable energyemission penaltiesoptimizationtogo |
| spellingShingle | Esso-Wazam Honoré Tchandao Akim Adekunlé Salami Koffi Mawugno Kodjo Amy Nabiliou Seydou Ouedraogo Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS International Journal of Renewable Energy Development bottom-up modeling renewable energy emission penalties optimization togo |
| title | Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS |
| title_full | Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS |
| title_fullStr | Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS |
| title_full_unstemmed | Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS |
| title_short | Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS |
| title_sort | modelling the optimal electricity mix for togo by 2050 using osemosys |
| topic | bottom-up modeling renewable energy emission penalties optimization togo |
| url | https://ijred.cbiore.id/index.php/ijred/article/view/50104 |
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