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Multi-criteria decision model for the assessment of offshore wind energy potential of Tunisia
Zahmoul, H.; Sayed, A.E.; Poyrazoglu, G. (2021). Multi-criteria decision model for the assessment of offshore wind energy potential of Tunisia, in: Sixteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), Monte-Carlo, Monaco, May 5-7 2021. pp. 1-7. https://dx.doi.org/10.1109/ever52347.2021.9456648
In: (2021). Sixteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), Monte-Carlo, Monaco, May 5-7 2021. IEEE: [s.l.]. ISBN 978-1-6654-4902-1. , more

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Document type: Conference paper

Authors  Top 
  • Zahmoul, H.
  • Sayed, A.E.
  • Poyrazoglu, G.

Abstract
    This paper investigates the potential for the development of offshore wind power plants in Tunisia. The goal of this research is to increase the possibility of using renewable energy available in the country and reduce the dependence on fossil fuels. The data used for the analysis is obtained from remote sensing satellites and weather stations located across the country's coastal regions. A multi-criteria decision model is built to perform geographic and technical analysis of the study area. This research reveals locations suitable for wind turbine installations. The results of this study aid the transition to wind energy with its optimal adaptation in Tunisia. Only 7% of Tunisian offshore territory is found fit for the deployment of fixed-bottom wind farms. Six locations, in particular, were chosen in the Gulf of Tunisia, Gabes, Sousse, Sfax, Bizerte, and Djerba. The GIS-based methodology proposed in this paper can be applied to other offshore wind farm allocation investigations. The environmental impact of proposed wind farms on GHG reduction and employment opportunities are investigated. The suggested wind farms will reduce the GHG emissions and the energy price in Tunisia as well as create new jobs for society.

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