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Skip to Search Results- 3Solar energy
- 2Fuzzy decision-making
- 1Fuzzy TOPSIS
- 1Fuzzy hybrid methods
- 1Fuzzy machine learning
- 1Fuzzy simulation
- 2Fayek, Aminah Robinson
- 2Ponce, Pedro
- 2Pérez, Citaly
- 1El-Din, Mohamed Gamal
- 1Kassim, Kehinde
- 1Kedir, Nebiyu
- 2Civil and Environmental Engineering, Department of
- 2Civil and Environmental Engineering, Department of/Research Materials (Civil & Environmental Engineering)
- 1Chemical and Materials Engineering, Department of
- 1Chemical and Materials Engineering, Department of/Research Articles and Materials (Chemical and Materials Engineering)
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Concave microlens arrays with tunable curvature for enhanced photodegradation of organic pollutants in water: A non-contact approach
Download2023-11-01
Lu, Qiuyun, Li, Yanan, Kassim, Kehinde, Xu, Ben Bin, El-Din, Mohamed Gamal, Zhang, Xuehua
Solar-driven photodegradation for water treatment faces challenges such as low energy conversion rates, high maintenance costs, and over-sensitivity to the environment. In this study, we develop reusable concave microlens arrays (MLAs) for more efficient solar photodegradation by optimizing light...
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Solar Energy Implementation in Manufacturing Industry Using Multi-Criteria Decision-Making Fuzzy TOPSIS and S4 Framework
Download2022-11-01
Ponce, Pedro, Pérez, Citaly, Fayek, Aminah Robinson, Molina, Arturo
The demand for electrical energy has increased since the population of and automation in factories have grown. The manufacturing industry has been growing dramatically due to the fast-changing market, so electrical energy for manufacturing processes has increased. As a result, solar energy has...
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Systematic Literature Review on Fuzzy Hybrid Methods in Photovoltaic Solar Energy: Opportunities, Challenges, and Guidance for Implementation
Download2023-04-01
Kedir, Nebiyu, Nguyen, Phuong H. D., Pérez, Citaly, Ponce, Pedro, Fayek, Aminah Robinson
The application of fuzzy hybrid methods has significantly increased in recent years across various sectors. However, the application of fuzzy hybrid methods for modeling systems or processes, such as fuzzy machine learning, fuzzy simulation, and fuzzy decision-making, has been relatively limited...