Article
Energy & Fuels
Bernard Aboagye, Samuel Gyamfi, Eric Antwi Ofosu, Sinisa Djordjevic
Summary: The study quantified the degradation rates and predicted the lifetime of 16 PV systems of different module technologies and age groups in Ghana, showing that crystalline silicon modules degrade less than amorphous silicon modules, and predicting the lifetimes of different PV systems.
Article
Green & Sustainable Science & Technology
C. Mateo, M. A. Hernandez-Fernollosa, A. Montero, S. Segui-Chilet
Summary: This contribution presents a field study on the long-term behavior of two a-Si photovoltaic plants. The study compares and analyzes the plants using a per-unit approach and STC normalization. It is found that the long-term stabilization process is affected by a seasonal effect. The study proposes linear and exponential expressions to fit the long-term behavior of the plants.
Article
Green & Sustainable Science & Technology
N. Belhaouas, F. Mehareb, E. Kouadri-Boudjelthia, H. Assem, S. Bensalem, F. Hadjrioua, A. Aissaoui, H. Hafdaoui, A. Chahtou, K. Bakria, D. Saheb-Koussa
Summary: This paper analyzes the degradation performance of monocrystalline silicon PV modules exposed outdoor for eleven years in Bouzareah city, northern Algeria under Mediterranean climate conditions. The results show that the PV modules suffer mainly from optical failures, leading to reductions in electrical parameters and influence on temperature coefficients.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Green & Sustainable Science & Technology
Michel Piliougine, Paula Sanchez-Firera, Giovanni Petrone, Francisco Jose Sanchez-Pacheco, Giovanni Spagnuolo, Mariano Sidrach-de-Cardona
Summary: The performance of four thin-film photovoltaic modules is analyzed after an initial stabilization period and an outdoor exposition, and their seasonal variations and degradation rates are examined and correlated to spectral changes. The results show that the a-Si:H module has the highest annual degradation rate, while the degradation of the CIGS module is relatively low.
Article
Physics, Applied
M. Vukovic, M. Jakovljevic, A. S. Flo, E. Olsen, I. Burud
Summary: Outdoor photoluminescence imaging on field-deployed solar cell modules has been increasingly conducted in recent years. This imaging technique provides more detailed information about defects compared to thermal infrared imaging, and it has the potential to be faster than electroluminescence imaging as it does not require electrical connection to the modules. However, when conducted with sunlight excitation, it usually relies on lock-in technique, which involves switching between the modules' two operating points. This often requires additional electrical equipment and causes production disruption for the modules. This study demonstrates a noninvasive image acquisition method based on the string inverter's ability to sweep the IV curve. The advantage of this approach is that it only requires imaging apparatus and allows for flexible imaging procedures without additional equipment. Photoluminescence images spanning the whole IV curve can be obtained during one sweep, offering insights into the state of the cells and modules.
APPLIED PHYSICS LETTERS
(2022)
Article
Energy & Fuels
Eduardo Lorenzo, Rodrigo Moreton, Jorge Solorzano, Francisco Martinez-Moreno, Miguel del Pozo, Mikel Munoz
Summary: This paper analyzes the feasibility of outdoor measurements for PV module power control, and proposes a convenient procedure for overcoming the uncertainty problem by comparing I-V curves and correcting temperature differences. The developed instrumentation provides accurate measurements and meets strict quality control requirements.
PROGRESS IN PHOTOVOLTAICS
(2023)
Article
Environmental Sciences
Hussein A. Kazem, Miqdam T. Chaichan, Ali H. A. Al-Waeli
Summary: This study compares the performance degradation of monocrystalline and polycrystalline photovoltaic modules due to dust accumulation and tests different cleaning methods. The results show that monocrystalline modules experience higher power degradation, but the dust accumulation rate in the study area is relatively low compared to other Gulf countries.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Shravan Kumar Singh, Nikhil Chander
Summary: This study presents a mid-life degradation evaluation of a 100 kWp solar photovoltaic power plant after eleven years of operation. Visual inspections and measurement of current-voltage data were conducted to identify the extent of degradation and power deviation in the PV modules. The study found significant visual degradation including discoloration, cracks, burn marks, and lightning damage, as well as variations in power degradation rate. This research provides a better understanding of the degradation types affecting PV modules in the composite climate regions of east-central India.
Article
Chemistry, Multidisciplinary
Jun Zhang, Fan Zhang, Wenqiang Zhu, Xiaoming Xi, Lezhi Yang, Feiyue Tu, Qingge Feng, Tingting Li, Yahui Yang, Lishan Yang
Summary: In this study, we develop a restricted-magnesium-vapor-reduction method to fabricate sustainable Si/SiOx/C porous anodes with nanopores and polycrystalline structures.
CHEMICAL COMMUNICATIONS
(2023)
Article
Chemistry, Physical
Alexander C. Killam, Joseph F. Karas, Andre Augusto, Stuart G. Bowden
Summary: The in-field characterization of photovoltaics is crucial for understanding performance and degradation mechanisms, with methods such as using backsheet temperature sensors and on-site weather stations to normalize measurements effectively. Monitoring the system V-OC at low light levels can indicate early degradation.
Article
Chemistry, Analytical
Carmen Garcia-Lopez, German Alvarez-Tey
Summary: Faults in photovoltaic modules can cause power losses during operation. Hot spots that can lead to these power losses can be detected by measuring the module surface temperature. Radiation temperature measurement allows for a complete, reliable, and fast qualitative determination of hot spots in outdoor operation. However, obtaining quantitative values requires considering multiple factors.
Article
Computer Science, Information Systems
Sofiane Haddad, Badis Lekouaghet, Mohamed Benghanem, Ammar Soukkou, Abdelhamid Rabhi
Summary: This article introduces an artificial algorithm called AHA algorithm, which efficiently extracts the parameters of PV modules under outdoor operational conditions. The results show that AHA algorithm is highly effective and performs well in terms of standard deviation, root mean square error, and sum of squared error. The algorithm is tested on different temperature and irradiance levels, achieving low values of RMSE and a high closeness between simulated and experimental curves.
Article
Energy & Fuels
Julio Pascual, Francisco Martinez-Moreno, Miguel Garcia, Javier Marcos, Luis Marroyo, Eduardo Lorenzo
Summary: The study investigates degradation rates of PV modules in Spain and Portugal over 10 years, finding a range of 0.01% to 0.47% and an average of 0.27% per year. It highlights the importance of good operation and maintenance practices in maintaining low degradation rates.
PROGRESS IN PHOTOVOLTAICS
(2021)
Article
Thermodynamics
Bingnan Wang, Shan Jiang, Zhan'ao Tan
Summary: This paper studies the thermal characteristics of bifacial silicon photovoltaic modules and proposes a new model that takes into account the bifaciality and rear irradiance factors. Through experimental verification, the new model shows good agreement with the measured data.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Materials Science, Multidisciplinary
A. O. Zamchiy, E. A. Baranov, S. Starinskiy, N. A. Lunev, I. E. Merkulova
Summary: In this study, polycrystalline silicon thin films were synthesized for the first time using Au-induced crystallization of silicon suboxide. The structure and elemental composition of the stacked structure were analyzed using TEM, Raman, and EDX, revealing the formation of poly-Si thin film and a barrier SiO2 layer. The proposed mechanism for the growth of poly-Si thin films involves features such as dewetting of Au films and formation of a SiO2 barrier layer, different from the traditional layer exchange process.
Article
Chemistry, Multidisciplinary
Cristina Cornaro, Francesco Bosco, Marco Lauria, Valerio Adoo Puggioni, Livio De Santoli
APPLIED SCIENCES-BASEL
(2019)
Article
Thermodynamics
Francesca Frasca, Cristina Cornaro, Anna Maria Siani
SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT
(2019)
Article
Construction & Building Technology
C. Cornaro, V Zanella, P. Robazza, E. Belloni, C. Buratti
ENERGY AND BUILDINGS
(2020)
Article
Green & Sustainable Science & Technology
Marco Pierro, Matteo De Felice, Enrico Maggioni, David Moser, Alessandro Perotto, Francesco Spada, Cristina Cornaro
Editorial Material
Chemistry, Multidisciplinary
Cristina Cornaro, Cinzia Buratti
APPLIED SCIENCES-BASEL
(2020)
Article
Energy & Fuels
Marco Pierro, David Moser, Richard Perez, Cristina Cornaro
Article
Green & Sustainable Science & Technology
Marco Pierro, Richard Perez, Marc Perez, David Moser, Cristina Cornaro
Article
Energy & Fuels
Richard Perez, Marc Perez, James Schlemmer, John Dise, Thomas E. Hoff, Agata Swierc, Patrick Keelin, Marco Pierro, Cristina Cornaro
Article
Construction & Building Technology
Francesca Frasca, Elena Verticchio, Cristina Cornaro, Anna Maria Siani
Summary: The research presents a multi-step methodology that combines BES and HAM models for diagnostics and conservation in complex settings. By conducting experiments at the historical site of Santa Rosalia church in Italy, the study confirmed the effectiveness of this technique in improving indoor climate simulation accuracy and identifying potential moisture-induced conservation risks.
BUILDING AND ENVIRONMENT
(2021)
Review
Green & Sustainable Science & Technology
Ali Sohani, Hoseyn Sayyaadi, Cristina Cornaro, Mohammad Hassan Shahverdian, Marco Pierro, David Moser, Nader Karimi, Mohammad Hossein Doranehgard, Larry K. B. Li
Summary: Photovoltaic technologies are becoming increasingly important in future energy production, while machine learning has gained attention for its ability to analyze PV systems and contribute to a cleaner environment. This comprehensive review introduces traditional methods for modeling PV systems and discusses the application of machine learning for performance prediction and fault detection. It also highlights the challenges and future directions of using machine learning in PV systems.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Marco Pierro, Mario Barba, Richard Perez, Marc Perez, David Moser, Cristina Cornaro
Summary: Achieving the European Union's 2030 renewable energy source targets requires increasing flexible resources to compensate for the variability of solar and wind generation and ensure system safety and balance. This article proposes two readily deployable flexibility solutions using flexible photovoltaic (PV) or PV/wind fleets, along with underforecasting and proactive curtailment of variable renewable generation, to reduce imbalances in Italy. The study also shows that these flexibility solutions can be further enhanced by strengthening the transmission grid.
Article
Energy & Fuels
Marco Pierro, Fabio Romano Liolli, Damiano Gentili, Marcello Petitta, Richard Perez, David Moser, Cristina Cornaro
Summary: In this study, a methodology to evaluate the margins for imbalance reduction and flexibility in the high share of PV energy was developed. It was shown that advanced solar/wind forecasting and strengthening the national transmission grid can effectively address the increased demand/supply imbalance induced by the inherent intermittency and variability of solar energy.
Article
Energy & Fuels
Adriana Angelotti, Livio Mazzarella, Cristina Cornaro, Francesca Frasca, Alessandro Prada, Paolo Baggio, Ilaria Ballarini, Giovanna De Luca, Vincenzo Corrado
Summary: Calibrating the existing building simulation model correctly is crucial for evaluating the potential energy savings through retrofit. In this study, four research groups used different dynamic simulation tools to simultaneously simulate an existing residential building. Different methodologies and measurement data sets were employed for calibration, followed by validation on two evaluation periods. The study finds that the absence of user behavior data is more critical than uncertainty in envelope properties for calibrating a well-insulated building model. The automatic approach is more effective in managing model complexity and achieving better calibration performance, with a lower RMSE relative to indoor temperature compared to the manual approach.
Article
Green & Sustainable Science & Technology
Cristina Cornaro, Gianluigi Bovesecchi, Filippo Calcerano, Letizia Martinelli, Elena Gigliarelli
Summary: Improving energy efficiency and environmental impact of historical buildings is crucial in tackling climate change. To achieve this, a comprehensive understanding of the building is needed to guide technology selection and design solutions. This paper presents an integrated approach that combines non-destructive techniques and heritage building information modeling to analyze the characteristics and behavior of historical buildings. The methodology was applied to a case study in the historical city center of Rome, Italy, and the results will be used to support the design of interventions through dynamic building performance simulations.
Proceedings Paper
Thermodynamics
Cinzia Buratti, Elisa Belloni, Francesca Merli, Veronica Zanella, Paolo Robazza, Cristina Cornaro
ATI 2018 - 73RD CONFERENCE OF THE ITALIAN THERMAL MACHINES ENGINEERING ASSOCIATION
(2018)
