Abstract
AbstractThis 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 se...
Highlights
The expanding Ghanaian economy coupled with increased population has resulted in a rapid demand for energy
This section examines the results of the generation system of Ghana based on the input data and assumptions made in this study for the various scenarios from 2010 to 2040
Significant expansion in capacity is predicted in the Base Case Optimum (BCO) scenario in order to meet this demand and the 18% reserve margin applied in this study
Summary
The expanding Ghanaian economy coupled with increased population has resulted in a rapid demand for energy. Inadequate expansion to meet the growing demand has resulted in a situation where the current generation capacity meets about only 65% of the demand as at March 2014 (Energy Commission Ghana, 2015). The installed electrical power generation capacity of Ghana as at Albert K. Awopone was born in Ghana on 8 April 1975 He received the MTech degree in Electrical/ Electronic Technology from the University of Education, Winneba, Ghana in 2011. He works as a lecturer at the Department of Electrical and Automotive Technology Department of University of Education, Winneba. He is currently pursuing the PhD degree in RES Electronic and Computer Engineering at Brunel University London. His research interests include economic operation of power systems, renewable energy systems and distribution automation
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