Utilizing the fully fuzzy base-criterion method and the optimistic-pessimistic-natural procedure to evaluate the solar panels' deflection

Solar energy systems are among the most widely used renewable energy sources. One of the most important factors that can affect a solar panel’s efficiency is deflection. To examine their effects on the deflection rate, the four significant variables, including Angle, Area, Airflow Velocity, and Material, are taken into consideration here. These parameters have been obtained using numerical simulation. The main issue is that these parameters are offered at intervals when a solar power plant is scheduled for implementation, which makes it extremely difficult for a decision-maker to select an accurate value from the given intervals to precisely model the system. To address this issue, this study proposes a hybrid methodology based on the Optimistic-Pessimistic-Natural technique (OPN) and the completely (fully) fuzzy base-criterion method (FF-BCM). First, the weight value is determined using FF BCM to infer the significance of the suggested parameters. Next, using the OPN approach, three spots within the recommended interval are selected using the attained weights. The deflection value for the optimistic technique is found to be ۱۷.۰۶ cm based on the realized data. Its value in the Natural strategy is ۱۸.۱ cm, indicating a ۶.۱% improvement. Ultimately, with a deflection of ۲۴.۳۴ cm, the Pessimistic strategy has the highest deviation, outperforming the ON (Optimistic and Natural) methods by ۴۲.۷% and ۳۴.۵%, respectively.

کلیدواژه ها:

Fully Fuzzy Base-Criterion Method ، Triangular fuzzy numbers ، Optimistic-Pessimistic-Natural technique ، Solar panel ، Deflection