Sustainable Technology Innovations: Optimizing Inverter Selection for Solar PV and Wind Turbine Systems Using Fuzzy MCDM

Selecting the appropriate inverters is essential for optimizing the efficiency and performance of solar photovoltaic (PV) and wind turbine systems, as these choices directly affect energy conversion and overall system output. Critical factors such as cost, compatibility with renewable energy sources, efficiency, reliability, and safety must be meticulously evaluated. Hence, a systematic and comprehensive approach is required for the assessment and comparison of various inverter options. This study utilizes Multi-Criteria Decision-Making with Fuzzy Logic Set (F-MCDM), incorporating the Analytical Hierarchy Process (AHP) to evaluate the identified criteria and employing the Technique for Order of Preference by Similarity to the Ideal Solution (F-TOPSIS) with fuzzy logic to rank the options. The findings highlight smart grid inverters as the optimal solutions, effectively addressing issues of compatibility, reliability, efficiency, safety, and cost. The proposed methodology yields a significant total equity value of USD 9,325.71, with notable annual earnings before interest, taxes, depreciation, and amortization (EBITDA) amounting to USD 1,601.37. The estimated payback period is 7.59 years, with an impressive return on investment (ROI) of 229.29%. Additionally, the net income considerably lowered production costs, amounting to USD 30,708.6 in a single period.