Long-Term Effects of Degradation on Photovoltaic System Return on Investment

Authors

Keywords:

Photovoltaic System, Performance Ratio, Degradation Model, Return on Investment

Abstract

The adoption of photovoltaic (PV) systems has increased significantly in recent years, driven by the demand for off-grid and on-grid residential and commercial applications. However, the high initial investment required for PV installations has limited their widespread adoption. Governments and marketing enterprises have implemented different strategies to promote PV systems to overcome this barrier, focusing on the return on investment (ROI) concept. However, the conventional approach uses limited economic factors to calculate the ROI. It fails to consider the impact of external factors, such as system degradation, which can vary between systems. To address this issue, we propose a new methodology to estimate the ROI of a photovoltaic system with greater accuracy. Our approach incorporates system-predicted degradation, calculated using historical meteorological data and prediction techniques. We applied this methodology to a photovoltaic system installed at the Universidad Tecnológica de Bolívar (UTB) in Cartagena and evaluated it against five different approaches. The results show that our proposed method offers a more accurate and reliable estimation of the ROI of a photovoltaic system, considering a broader range of factors. Overall, our work contributes to advancing the understanding of photovoltaic system ROI calculation and promotes using sustainable energy sources. By providing a more precise estimation of the ROI of a photovoltaic system, our methodology can help potential investors make more informed decisions and promote the adoption of clean energy sources.

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Author Biographies

Juan Cuadrado, Universidad Tecnológica de Bolívar, Cartagena de Indias, Colombia

Juan Cuadrado is currently a Master's degree student at the Universidad Tecnológica de Bolívar, with a focus on data analysis in the areas of photovoltaic (PV) system analysis and natural language processing (NLP) for sentiment analysis.During his undergraduate studies, Juan completed a Bachelor's degree in Electronic Engineering from the Universidad Industrial de Santander, where he gained valuable knowledge in image processing and the experimental setup of optical systems.With his academic background and expertise in data analysis and engineering, Juan has developed a strong foundation in the implementation and analysis of advanced techniques for both renewable energy systems and natural language processing.

Elizabeth Martinez, Universidad Tecnológica de Bolívar, Cartagena de Indias, Colombia

Master's degree student currently enrolled in the Systems and Computer Engineering program at the Universidad Tecnológica de Bolívar. Their expertise lies in Natural Language Processing (NLP) and Photovoltaic (PV) Systems Data Analysis. Obtained their Bachelor's degree in Electronic Engineering from the Universidad Industrial de Santander. During their academic pursuits, she gained valuable experience in Digital Image Processing, focusing on Medical Imaging. Overall, she has a well-rounded background in engineering, with a specific emphasis on digital processing techniques and their applications in healthcare and renewable energy systems.

Edwin Puertas, Universidad Tecnológica de Bolívar, Cartagena de Indias, Colombia

I am an Associate professor at the Universidad Tecnológica de Bolívar and a senior research scientist at the Center for Excellence and Appropriation in Big Data and Data Analytics (CAOBA). I am passionate about text analysis, especially sentiment analysis. Likewise, I like to solve problems creatively and apply the best practices of computational linguistics, machine learning, data analytics, and software engineering. Furthermore, I have substantial experience in machine learning, data mining, text analysis, software engineering, programming languages, and service-oriented computing. Also, I work effectively in independent and collaborative environments and excel in communication with various collaborators. I am a critical and analytical person, known for being flexible, and resourceful and for achieving goals while maintaining a positive outlook.

Juan Carlos Martinez-Santos, Universidad Tecnológica de Bolívar, Cartagena de Indias, Colombia

J.C Martinez-Santos is an accomplished researcher and lecturer in electronic and computer engineering. He received his bachelor's degree in electronic engineering and master's in electric power from the Universidad Industrial de Santander. He then earned his Ph.D. in computer engineering from Northeastern University. Dr. Martínez Santos is a Professor at the Faculty of Engineering at Universidad Tecnologica de Bolivar. He is also an active researcher in several areas, including Cloud computing, the Internet of Things, Architectural support for security enhancement, Information assurance, Embedded systems, Blockchain applications, and Quantum Computing.

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Published

2023-11-01

How to Cite

Cuadrado, J. ., Martinez, E., Puertas, E., & Martinez-Santos, J. C. (2023). Long-Term Effects of Degradation on Photovoltaic System Return on Investment. IEEE Latin America Transactions, 21(12), 1282–1290. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/8223

Issue

Section

Electric Energy

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