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

Document Type : Research Paper

Authors

1 Faculty of Mechanical Engineering, University of Tabriz, Tabriz, Iran.

2 TM.co Research Center, Urmia, Iran.

Abstract

Solar energy systems are among the most widely used renewable energy sources. One of the most important things that may happen to any solar panel and affect their 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 achieved 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, a unique hybrid methodology based on the Optimistic-Pessimistic-Natural technique (OPN) and the completely (fully) fuzzy base-criterion method (FF-BCM) is proposed in this study. 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 17.06 cm based on the realized data. Its value in the Natural strategy is 18.1 cm, indicating a 6.1% improvement. Ultimately, with a deflection of 24.34 cm, the Pessimistic strategy has the highest deviation, outperforming the ON (Optimistic and Natural) methods by 42.7% and 34.5%, respectively.

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Articles in Press, Accepted Manuscript
Available Online from 19 July 2025
  • Receive Date: 13 April 2025
  • Revise Date: 03 July 2025
  • Accept Date: 18 July 2025