A new approach for sizing a hybrid energy system for the power plant

The deployment of low-carbon energy (LCE) technologies and management of installations represents an imperative to face climate change. LCE planning is an interminable process affected by a multitude of social, economic, environmental, and political factors. The replacement of fossil fuels for producing energy with renewable sources is crucial to limit the climate change effects. However, the unpredictable nature of renewables, like sun and wind, complicates their integration within the power systems. This problem can be faced with the introduction of Hybrid Renewable Energy Systems (HRESs), where several energy sources can be incorporated. In this paper, we made use of Fuzzy AHP and Fuzzy TOPSIS in order to evaluate alternative renewable energy sources and select the best three in Tunisia. Here, the integrating of Fuzzy AHP and Fuzzy TOPSIS were utilized also for multi-criteria ranking to determine the best scenario of hybrid renewable energy configuration. This study aims to assess the implementation of a hybrid energy system for an on-grid community in Tunisia and to propose the best hybrid energy combination to reliably satisfy electricity demand. In this context, the objective of this work is to develop a multicriteria procedure considering multiple aspects.