Hybrid Renewable Energy Resources Selection Based on Multi Criteria Decision Methods for Optimal Performance

Abstract

This paper used some Muti-Criteria Decision Analysis (MCDA) techniques to select the best alternative renewable energy sources in Msallata city, south east of Tripoli, Libya. They were based on the commitment from the ministry of Energy in the Libyan government to lower their carbon footprint. The renewable energy sources considered here are solar, wind, and biomass. MCDA is widely used to solve various decision problems through alternative evaluation. MCDA methods are currently applied in every field and can define any problem, alternatives, and criteria. However, every MCDA technique can give different results. In this paper, four MCDA methods have been tested and evaluated based on the renewable energy sector to find the best alternative. The results suggest that a combination of wind and solar is the most important energy source; solar plants alone are the second most important energy source. The least important energy source in this model is biomass alone. This work is validated using HOMER Pro Software. Many MCDA techniques are applied these days in almost all disciplines, but they may have different results. This work proved that the best MCDA for dealing with renewables in our case is either The COmplex PRoportional ASsessment (COPRAS) or VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). COPRAS is a MCDA technique that is developed by Zavadskas, Kaklauskas, and Sarka in 1994, it is applied to maximiza and minimize index values. VIKOR is an abbreviation of a Serbian term that means Multicriteria Optimization and Compromise Solution, it ranks and selects from various alternatives with conflicting criteria.

Towards Efficient Energy Solutions: MCDA-Driven Selection of Hybrid Renewable Energy Systems

“…Vishnupriyan et al [12] introduced an integrated approach combining AHP and HOMER Energy® simulation to optimize grid-connected renewable energy systems for meeting electricity demand in Tamil Nadu, India, with emphasis on annual optimum tilt photovoltaic systems based on multi-criteria decision analysis. Ali et al [13] evaluated MCDA techniques to select optimal renewable energy sources for Msallata city, Libya, favoring a wind and solar combination, followed by standalone solar, and indicating COPRAS or VIKOR as suitable methods. Indrajayanthan et al [14] addressed India's coal-heavy electricity mix by employing multicriteria decision analysis to evaluate clean energy transition potential across seven key states, identifying Gujarat as the most favorable and Uttar Pradesh as the least conducive.…”