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Clean and safe energy sources are essential for the long-term growth of society. Wind energy is rapidly expanding and contributes to many countries’ efforts to decrease greenhouse gas emissions. In terms of sustainable development goals (SDGs), renewable energy development promotes energy security while also facilitating community development and environmental conservation on a global scale. In this context, the current article aims to investigate wind energy’s role within the SDGs. Furthermore, the present study highlights the role of the London Array wind farm in achieving the SDGs. Indeed, deploying clean and economical energy sources in place of conventional fossil fuel power plants provides vital insights into environmental impacts. The London Array operation is saving approximately 1 million tons of carbon dioxide (CO2) equivalent. Furthermore, the London Array contributes to the achievement of multiple SDGs, including SDG 8: decent employment and economic growth; SDG 9: industry, innovation, and infrastructure; SDG 11: sustainable cities and communities; and SDG 15: life on land. To enhance the London Array’s contribution to the SDGs, a total of 77 indicators (key performance indicators) were proposed and compared to the current measurements that have been carried out. The results showed that the London Array used most of the suggested indicators without classifying them from the SDGs’ perspective. The proposed indicators will help cut operation costs, mitigate climate change and environmental damage, improve employee engagement and morale, reduce learning gaps, set goals and plans, and use resources efficiently.

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Solar power has become one of the most essential sources in the move to clean energy production. It plays a vital role in providing environmental, social and economic benefits. As a result, the solar panels must be cleaned consistently. There are several cleaning methods, including passive, active and manual cleaning. In this paper, multi-criteria decision making (MCDM) method Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is utilized to compare between different cleaning methods and find the optimal cleaning method in Dubai. This approach considers the influential factors and their relative importance of the cleaning methods to prioritize the alternatives. The aim of the work is to consider social, economic, and environmental criteria while choosing the appropriate cleaning method for solar PV panels. The chosen attributes include several important factors, such as initial and running cost, time required for cleaning, safety, energy required, water consumption, environmental impact and economic impact. Data was collected through a survey of solar energy experts in Dubai. Different weighting methods, such as Simple Additive Weighting (SAW) and Multiplicative Exponential Weighting (MEW) were used to determine the relative relevance of the criteria. Sensitivity analysis was conducted, and cost attribute was removed. CRITIC, entropy, and stochastic dominance (SD) were calculated, and the results revealed that robot water based (sprinkler and brush) cleaning method was the most effective option 0.648, 0.753,0.707, respectively. Also the sensitivity analysis results confirmed that robot water based is the most preferred cleaning method by experts in Dubai.

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