| dc.description |
Awopone, A.K., Department of Computer and Electronic Engineering, Brunel University London, Uxbridge, UB8 3PH, United Kingdom; Zobaa, A.F., Department of Computer and Electronic Engineering, Brunel University London, Uxbridge, UB8 3PH, United Kingdom; Banuenumah, W., Department of Automotive and Electrical Engineering, University of Education Winneba, P.O. Box 1277, Kumasi, Ghana |
en_US |
| dc.description.abstract |
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. � 2017 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. |
en_US |