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Jathar LD, Nikam K, Awasarmol UV, Gurav R, Patil JD, Shahapurkar K, Soudagar MEM, Khan TMY, Kalam M, Hnydiuk-Stefan A, Gürel AE, Hoang AT, Ağbulut Ü. A comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and machine learning. Heliyon 2024; 10:e25407. [PMID: 38371991 PMCID: PMC10873676 DOI: 10.1016/j.heliyon.2024.e25407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 12/31/2023] [Accepted: 01/25/2024] [Indexed: 02/20/2024] Open
Abstract
Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence (AI) combined with Machine Learning (ML) has introduced a new era of remarkable research and innovation. This review article thoroughly examines the recent advancements in the field, focusing on the interplay between PV systems and water desalination within the framework of AI and ML applications, along with it analyses current research to identify significant patterns, obstacles, and prospects in this interdisciplinary field. Furthermore, review examines the incorporation of AI and ML methods in improving the performance of PV systems. This includes raising their efficiency, implementing predictive maintenance strategies, and enabling real-time monitoring. It also explores the transformative influence of intelligent algorithms on desalination techniques, specifically addressing concerns pertaining to energy usage, scalability, and environmental sustainability. This article provides a thorough analysis of the current literature, identifying areas where research is lacking and suggesting potential future avenues for investigation. These advancements have resulted in increased efficiency, decreased expenses, and improved sustainability of PV system. By utilizing artificial intelligence technologies, freshwater productivity can increase by 10 % and efficiency. This review offers significant and informative perspectives for researchers, engineers, and policymakers involved in renewable energy and water technology. It sheds light on the latest advancements in photovoltaic systems and desalination, which are facilitated by AI and ML. The review aims to guide towards a more sustainable and technologically advanced future.
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Affiliation(s)
- Laxmikant D. Jathar
- Department of Mechanical Engineering, Army Institute of Technology Pune, Maharashtra, 411015, India
| | - Keval Nikam
- Department of Mechanical Engineering, Dr. D. Y. Patil Institute of Engineering, Management and Research, Akurdi, Pune, 411044, India
| | - Umesh V. Awasarmol
- Department of Mechanical Engineering, Army Institute of Technology Pune, Maharashtra, 411015, India
| | - Raviraj Gurav
- Department of Mechanical Engineering, Army Institute of Technology Pune, Maharashtra, 411015, India
| | - Jitendra D. Patil
- Department of Mechanical Engineering, Army Institute of Technology Pune, Maharashtra, 411015, India
| | - Kiran Shahapurkar
- Department of Mechanical Engineering, School of Mechanical, Chemical and Materials Engineering, Adama Science and Technology University, Adama, 1888, Ethiopia
| | - Manzoore Elahi M. Soudagar
- Faculty of Mechanical Engineering, Opole University of Technology, 45-758 Opole, Poland
- Department of Mechanical Engineering, Graphic Era (Deemed to Be University), Dehradun, Uttarakhand, 248002, India
| | - T. M. Yunus Khan
- Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
| | - M.A. Kalam
- School of Civil and Environmental Engineering, FEIT, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Anna Hnydiuk-Stefan
- Faculty of Production Engineering and Logistics, Opole University of Technology, 45-758 Opole, Poland
| | - Ali Etem Gürel
- Department of Electricity and Energy, Düzce Vocational School, Düzce University, 81010, Düzce, Turkiye
| | - Anh Tuan Hoang
- Faculty of Automotive Engineering, Dong A University, Danang, Viet Nam
| | - Ümit Ağbulut
- Department of Mechanical Engineering, Mechanical Engineering Faculty, Yildiz Technical University, İstanbul, Turkiye
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Jathar LD, Ganesan S, Awasarmol U, Nikam K, Shahapurkar K, Soudagar MEM, Fayaz H, El-Shafay AS, Kalam MA, Bouadila S, Baddadi S, Tirth V, Nizami AS, Lam SS, Rehan M. Comprehensive review of environmental factors influencing the performance of photovoltaic panels: Concern over emissions at various phases throughout the lifecycle. Environ Pollut 2023; 326:121474. [PMID: 36965686 DOI: 10.1016/j.envpol.2023.121474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 02/13/2023] [Accepted: 03/19/2023] [Indexed: 06/18/2023]
Abstract
Recently, solar photovoltaic (PV) technology has shown tremendous growth among all renewable energy sectors. The attractiveness of a PV system depends deeply of the module and it is primarily determined by its performance. The quantity of electricity and power generated by a PV cell is contingent upon a number of parameters that can be intrinsic to the PV system itself, external or environmental. Thus, to improve the PV panel performance and lifetime, it is crucial to recognize the main parameters that directly influence the module during its operational lifetime. Among these parameters there are numerous factors that positively impact a PV system including the temperature of the solar panel, humidity, wind speed, amount of light, altitude and barometric pressure. On the other hand, the module can be exposed to simultaneous environmental stresses such as dust accumulation, shading and pollution factors. All these factors can gradually decrease the performance of the PV panel. This review not only provides the factors impacting PV panel's performance but also discusses the degradation and failure parameters that can usually affect the PV technology. The major points include: 1) Total quantity of energy extracted from a photovoltaic module is impacted on a daily, quarterly, seasonal, and yearly scale by the amount of dust formed on the surface of the module. 2) Climatic conditions as high temperatures and relative humidity affect the operation of solar cells by more than 70% and lead to a considerable decrease in solar cells efficiency. 3) The PV module current can be affected by soft shading while the voltage does not vary. In the case of hard shadowing, the performance of the photovoltaic module is determined by whether some or all of the cells of the module are shaded. 4) Compared to more traditional forms of energy production, PV systems offer a significant number of advantages to the environment. Nevertheless, these systems can procure greenhouse gas emissions, especially during the production stages. In conclusion, this study underlines the importance of considering multiple parameters while evaluating the performance of photovoltaic modules. Environmental factors can have a major impact on the performance of a PV system. It is critical to consider these factors, as well as intrinsic and other intermediate factors, to optimize the performance of solar energy systems. In addition, continuous monitoring and maintenance of PV systems is essential to ensure maximum efficiency and performance.
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Affiliation(s)
- Laxmikant D Jathar
- Department of Mechanical Engineering, Army Institute of Technology Pune, Maharashtra, 411015, India
| | - S Ganesan
- Department of Mechanical Engineering, Vel Tech Rangarajan & Dr. Sagunthala R & D Institute of Science and Technology Chennai, Tamil Nadu, 600062, India
| | - Umesh Awasarmol
- Department of Mechanical Engineering, Army Institute of Technology Pune, Maharashtra, 411015, India
| | - Keval Nikam
- Department of Mechanical Engineering, Dr. D. Y. Patil Institute of Engineering, Management and Research, Akurdi, Pune, 411044, India
| | - Kiran Shahapurkar
- Department of Mechanical Engineering, School of Mechanical, Chemical and Materials Engineering, Adama Science and Technology University, Adama, 1888, Ethiopia
| | - Manzoore Elahi M Soudagar
- Department of Mechanical Engineering and University Centre for Research & Development, Chandigarh University, Mohali, Punjab, 140413, India; Department of Mechanical Engineering, School of Technology, Glocal University, Delhi-Yamunotri Marg, Uttar Pradesh, 247121, India
| | - H Fayaz
- Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh, Viet Nam
| | - A S El-Shafay
- Department of Mechanical Engineering, College of Engineering in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942 Saudi Arabia; Mechanical Power Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt
| | - M A Kalam
- School of Civil and Environmental Engineering, FEIT, University of Technology Sydney, NSW, 2007, Australia
| | - Salwa Bouadila
- Centre de Recherches et des Technologies de L'Energie, Technopole de Borj-Cédria, B.P N° 95 2050, Hamam Lif, Ben Arous, Tunisia
| | - Sara Baddadi
- Centre de Recherches et des Technologies de L'Energie, Technopole de Borj-Cédria, B.P N° 95 2050, Hamam Lif, Ben Arous, Tunisia
| | - Vineet Tirth
- Mechanical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Asir, Saudi Arabia; Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha, 61413, P.O. Box No. 9004, Asir, Saudi Arabia
| | - Abdul Sattar Nizami
- Center of Excellence in Environmental Studies (CEES), King Abdulaziz University, Jeddah, Saudi Arabia; Sustainable Development Study Centre (SDSC), Government College University, Lahore, Pakistan
| | - Su Shiung Lam
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Center for Transdisciplinary Research, Saveetha Institute of Medical and Technical Sciences, Saveetha University , Chennai, India
| | - Mohammad Rehan
- Center of Excellence in Environmental Studies (CEES), King Abdulaziz University, Jeddah, Saudi Arabia.
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