Analyses of optimum generation scenarios for sustainable power generation in Ghana
Analyses of optimum generation scenarios for sustainable power generation in Ghana
| dc.contributor.author | Albert, K. Awopone | |
| dc.contributor.author | Ahmed, F. Zobaa | |
| dc.date.accessioned | 2024-02-07T16:12:23Z | |
| dc.date.available | 2024-02-07T16:12:23Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | This study examines optimum generation scenarios for Ghana from 2010 to 2040. 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) tool, was applied to model the generation system. The developed model was applied to the case study of the reference scenario (OPT) which examines the least cost development of the system without any shift in policy. Three groups of policy scenario were developed based on the future possible energy policy direction in Ghana: energy emission targets, carbon taxes and transmission and distribution losses improvements. The model was then used to simulate the development of technologies in each scenario up to 2040 and the level of renewable generation examined. Finally, cost benefit analysis of the policy scenarios, as well as their greenhouse gas mitigation potential were also discussed. The results show that: suitable policies for clean power generation have an important role in CO2 mitigation in Ghana. The introduction of carbon minimisation policies will also promote diversification of the generation mix with higher penetration of renewable energy technologies, thus reducing the overall fossil fuel generation in Ghana. It further indicated that, significant greenhouse emissions savings is achieved with improvement in transmission and distribution losses. | |
| dc.identifier.citation | Awopone, A. K., & Zobaa, A. F. (2017). Analyses of optimum generation scenarios for sustainable power generation in Ghana. | |
| dc.identifier.uri | https://ir.aamusted.edu.gh/handle/123456789/1226 | |
| dc.language.iso | en | |
| dc.publisher | Brunel University London | |
| dc.title | Analyses of optimum generation scenarios for sustainable power generation in Ghana | |
| dc.type | Article |