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Grid connected hybrid renewable energy systems for urban households in Djibouti: An economic evaluation

Yes / The cost of electricity produced by thermal power plants in Republic of Djibouti is relatively high at about $0.32/
kWh. This is due to its dependence on imported oil coupled with fluctuating oil prices. Consequently, the
customer pays a high electricity bill. However, Djibouti is endowed with indigenous renewable energy resources
such as a good solar irradiance of 5.92 kWh/ m2 day, a potential geothermal energy estimated up to 1000 MW,
and few sites with annual wind speed higher than 6 m/s. The goal of this paper is, therefore, to assess an economic evaluation of different grid connected hybrid renewable energy systems to a residential urban house
located in Tadjourah city (11.7913◦ N, 42.8796◦ E) in the North-Eastern part of Djibouti to reduce the cost of
electricity from the grid. To reach this objective, a powerful software tool called HOMER (Hybrid Optimization
Model for Electric Renewables) has been used to find the optimum hybrid energy system using real wind and
solar irradiation data. The results obtained from this study show that the best economical suited combination of
hybrid renewable energy system is a PV-Wind grid connected system. This study shows also that potentially the
indigenous renewable energy contribution, in Tadjourah, can be as much as 77 % with 47 % of solar and 30% of
Wind energy. The Net Present Cost, the Levelized Cost of Energy, and the operating cost of the optimal HRES are
$337, $0.002/kWh and $1,025/year, respectively. When compared with the average cost of grid-only connection
of $0.32/kWh, the optimal hybrid renewable energy system is more economical and will save 51 % of the cost
that the customer must pay when using only the electricity from the grid.

Identiferoai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/19225
Date02 November 2022
CreatorsGuelleh, Houssein O., Patel, Rajnikant, Kara-Zaitri, Chakib, Mujtaba, Iqbal
Source SetsBradford Scholars
LanguageEnglish
Detected LanguageEnglish
TypeArticle, Published version
Rights© 2022 The Author(s). Published by Elsevier B.V. on behalf of Institution of Chemical Engineers. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)., CC-BY

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