Relevant bibliographies by topics / Mono-crystalline PV module

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Academic literature on the topic 'Mono-crystalline PV module'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Mono-crystalline PV module"

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Chakraborty, Suprava, and Rajesh Kumar. "Comparative analysis of NOCT values for mono and multi C-Si PV modules in Indian climatic condition." World Journal of Engineering 12, no. 1 (2015): 19–22. http://dx.doi.org/10.1260/1708-5284.12.1.19.

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The power output of Photo-voltaic modules is generally rated at STC (Standard Test Condition), 1000W/m2 irradiance, 25°C temperature and 1.5G Air Mass. But in actual field condition the situation is different from STC. Output of PV module is a function of Irradiance, ambient temperature, wind speed and module temperature. It is well established that power output of PV module decreases with increase of module temperature. So it is important to know the temperature of PV module to determine the reduction in power output due to temperature. Module temperature can be determined if irradiance at th
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Ayong, Hiendro, Yusuf Ismail, Husin Fitriah, and Hie Khwee Kho. "Photovoltaic parameters estimation of poly-crystalline and mono-crystalline modules using an improved population dynamic differential evolution algorithm." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): 4538–48. https://doi.org/10.11591/ijece.v12i5.pp4538-4548.

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Photovoltaic (PV) parameters estimation from the experimental current and voltage data of PV modules is vital for monitoring and evaluating the performance of PV power generation systems. Moreover, the PV parameters can be used to predict current-voltage (I-V) behavior to control the power output of the PV modules. This paper aimed to propose an improved differential evolution (DE) integrated with a dynamic population sizing strategy to estimate the PV module model parameters accurately. This study used two popular PV module technologies, i.e., poly-crystalline and mono-crystalline. The optimi
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Hiendro, Ayong, Ismail Yusuf, Fitriah Husin, and Kho Hie Khwee. "Photovoltaic parameters estimation of poly-crystalline and mono-crystalline modules using an improved population dynamic differential evolution algorithm." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): 4538. http://dx.doi.org/10.11591/ijece.v12i5.pp4538-4548.

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<span>Photovoltaic (PV) parameters estimation from the experimental current and voltage data of PV modules is vital for monitoring and evaluating the performance of PV power generation systems. Moreover, the PV parameters can be used to predict current-voltage (I-V) behavior to control the power output of the PV modules. This paper aimed to propose an improved differential evolution (DE) integrated with a dynamic population sizing strategy to estimate the PV module model parameters accurately. This study used two popular PV module technologies, i.e., poly-crystalline and mono-crystalline
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Alhassan Salami, Tijani, and Ariffin Salbiah. "Effects of wind speed and temperature on economics and environmental impact assessment of different solar PV systems in Malaysia." REVISTA DE CIENCIAS TECNOLÓGICAS 6, no. 3 (2023): e144. http://dx.doi.org/10.37636/recit.v6n3e144.

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This study aims to analyse the effect of temperature and wind speed on the performance of different types of photovoltaic (PV) systems at a different state in Malaysia and how it affects the economics and environmental impact assessment in the present year of 2018 as well as future years in 2030 and 2040. Three types of grid-connected solar PV modules namely Mono-Crystalline, Poly-crystalline, and Thin Film were selected to be implemented in different cities of Shah Alam, Chuping, Alor Setar, Ipoh and Kota Kinabalu. A mathematical model was adopted to estimate the performance characteristics o
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Jaber, Mahmoud, Ag Sufiyan Abd Hamid, Kamaruzzaman Sopian, Ahmad Fazlizan, and Adnan Ibrahim. "Prediction Model for the Performance of Different PV Modules Using Artificial Neural Networks." Applied Sciences 12, no. 7 (2022): 3349. http://dx.doi.org/10.3390/app12073349.

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This study presents a prediction model for comparing the performance of six different photovoltaic (PV) modules using artificial neural networks (ANNs), with simple inputs for the model. Cell temperature (Tc), irradiance, fill factor (FF), short circuit current (Isc), open-circuit voltage (Voc), maximum power (Pm), and the product of Voc and Isc are the inputs of the neural networks’ processes. A Prova 1011 solar system analyzer was used to extract the datasets of IV curves for six different PV modules under test conditions. As for the result, the highest FF was the mono-crystalline with an av
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Abdullah, A. Z., M. H. Amlus, N. Azizan, I. M. Sali, and M. H. Rahim. "Performance Analysis of Different Type PV Module for 3kW Residential Roof Top PV System using PVSyst Simulation tool." Journal of Physics: Conference Series 2312, no. 1 (2022): 012042. http://dx.doi.org/10.1088/1742-6596/2312/1/012042.

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Abstract The purpose of this article is to discuss a performance comparison of solar panel between mono crystalline, poly crystalline and HIT photovoltaic for roof top solar photovoltaic (PV) system. Residential PV power generation is a growing fast nowadays due to technology transfer success to everyone while also serving as a renewable energy source. Correct selection of PV modules possible to get a fast return of investment while wrong selection is vice versa. Three type of PV panel was applying in 3.12kW rooftop PV design in Selangor, Malaysia residential this work for comparison analysis.
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Ikejiofor, Onyinye Emmanuella, Yeboah Emmanuel Asuamah, Howard O. Njoku, and Samuel O. Enibe. "Detection of Hotspots and Performance Deteriotations in PV Modules under Partial Shading Conditions Using Infrared Thermography." Engineering Proceedings 2, no. 1 (2020): 71. http://dx.doi.org/10.3390/ecsa-7-08201.

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Operating photovoltaic (PV) modules are frequently shaded by nearby structures, vegetation, droppings, etc., and this reduces the effective incident solar radiation received by the modules. Shading also reduces the power output of PV modules and, under certain conditions, causes the formation of hotspots. In this study, a wide variety of partial shading scenarios were investigated to evaluate their effects on the output current, voltage and efficiencies, and hotspot formation in mono-crystalline and poly-crystalline PV modules operating under the ambient conditions experienced in Nsukka, Niger
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HAGYMASSY, Zoltan, Andras VANTUS, Endre HARSANYI, and Nandor CSATARI. "Operational Experienced of a Grid-Connected Photo Voltaic Array." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Agriculture 70, no. 2 (2013): 441–42. http://dx.doi.org/10.15835/buasvmcn-agr:9807.

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The Earth receives solar energy by way of radiated energy. Refers to quantum theory, light is made up of packets of energy, called photons, whose energy depends only upon the frequency or color of the light. In this research, evaluation of 3 PV modules technologies performed based on energetic points of view in 2011. The efficiency of the mono crystalline module field was calculated, the efficiency of the poly crystalline module field and the amorphous module field were calculated.
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Monokroussos, Christos, Yating Zhang, Eleanor W. Lee, et al. "Energy performance of commercial c-Si PV modules in accordance with IEC 61853-1, -2 and impact on the annual specific yield." EPJ Photovoltaics 14 (2023): 6. http://dx.doi.org/10.1051/epjpv/2022032.

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As energy yields of photovoltaic modules are highly related to local climate and ambient conditions, it is necessary to assess the energy-yield performance of PV modules under various operating conditions. This work compares commercial crystalline silicon (c-Si) based PV modules (including mono c-Si Al BSF, mono c-Si PERC, multi-crystalline (mc-Si) Al BSF, and n-type c-Si solar cells) sampled from 27 PV module manufacturers located in the Asia-Pacific region between 2016 and 2022. Several test items were compared including: (i) light-induced degradation (LID), (ii) irradiance-temperature-effic
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Kareem, Mohamed Saleem Abdul, and Manimaran Saravanan. "A novel modeling approach to predict the output performance of photovoltaic modules under different environmental conditions." SIMULATION 94, no. 10 (2018): 861–72. http://dx.doi.org/10.1177/0037549718761208.

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In this paper, an improved mathematical model of a single-diode photovoltaic (PV) module has been developed to predict the maximum power of the PV modules produced by different PV technologies, such as mono crystalline, multi crystalline, and thin film, under varying environmental conditions. The current–voltage characteristic equation of the PV module is used to extract the PV module’s unknown parameters, such as light generated current, saturation current, ideality factor, series resistance, and shunt resistance at standard test condition (STC). In the proposed PV model, numerical methods ar
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Book chapters on the topic "Mono-crystalline PV module"

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Kessaissia, Fatma Zohra, Abdallah Zegaoui, Aicha Aissa Bokhtache, Asma Toualbia, and Hadj Allouache. "Comparative Analysis of Two Methods of Modeling a Mono-Crystalline Silicon PV Module." In ICREEC 2019. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5444-5_48.

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Conference papers on the topic "Mono-crystalline PV module"

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Soler-Bientz, Rolando, Lifter Ricalde-Cab, and Inés Riech Méndez. "Thermal Patterns in PV Arrays Operating in Tropical Conditions: A Preliminary Approach." In ASME 2013 7th International Conference on Energy Sustainability collocated with the ASME 2013 Heat Transfer Summer Conference and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/es2013-18349.

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This paper presents preliminary results of a field study focused in the study of the heat patterns of a PV array in tropical conditions. The research system is comprised by four sub arrays of four mono-crystalline Silicon PV Modules. The system was installed facing to the South direction in a static configuration according to the geographical location of the study site. A set of temperature sensors were installed on the back of the PV module in order to monitor their thermal patterns on daily basics. Ambient temperature, solar radiation on the PV surface and on the horizontal surface as well a
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Arias, Hugo, Javier Cabrera, and Johann Hernandez. "Performance evaluation of a mono-crystalline PV module cooled by a flat plate solar collector in thermosyphon mode." In 2015 IEEE 42nd Photovoltaic Specialists Conference (PVSC). IEEE, 2015. http://dx.doi.org/10.1109/pvsc.2015.7355825.

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Ebhota, Williams S., and Tien-Chien Jen. "Photovoltaic Solar Energy: Potentials and Outlooks." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86991.

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This review focuses on modern energy attributes and to identify alternative energy source and technology that satisfy energy trilemma requirements. The results and findings of the study show that photovoltaic (PV) solar cells technologies have the potentials of satisfying the global energy quest if deployed more. This study x-rays the different PV cells technologies in terms of generation chronology, power conversion efficiencies (PCE), (EPBT), present status and outlook. This study harmonises many photovoltaic performance indexes from review as follow: PV module power conversion efficiencies
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Tang, Wuqin, Qiang Yang, and Wenjun Yan. "Deep learning based model for Defect Detection of Mono-Crystalline-Si Solar PV Module Cells in Electroluminescence Images Using Data Augmentation." In 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2019. http://dx.doi.org/10.1109/appeec45492.2019.8994713.

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Hamza, Marwa, Olfa Bel Hadj Brahim Kechiche, Bassem Barkaoui, and Habib Sammouda. "Performance comparison between commercial mono-crystalline and poly-crystalline PV modules under LCPV conditions." In 2017 International Conference on Green Energy Conversion Systems (GECS). IEEE, 2017. http://dx.doi.org/10.1109/gecs.2017.8066261.

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Sastry, O. S., Birinchi Bora, Yogesh Kumar Singh, et al. "RPN analysis of field exposed mono crystalline silicon PV modules under composite climate of India." In 2015 IEEE 42nd Photovoltaic Specialists Conference (PVSC). IEEE, 2015. http://dx.doi.org/10.1109/pvsc.2015.7356128.

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Parira, Anindya sundar, Vamsi krishna Komarala, Jai Prakash, and Radhey Shyam. "Performance Evaluation and Comparison of Bifacial and Mono-Facial Crystalline Silicon PV Modules and Systems." In SWC 2023 - ISES Solar World Congress 2023. International Solar Energy Society, 2023. http://dx.doi.org/10.18086/swc.2023.01.04.

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Hessami, Mir Akbar, and Sophie Lamande. "Optimisation of Tilt Angle for Different Photovoltaic Panels Under the Prevailing Environmental Conditions in Melbourne (Australia)." In ASME 2012 6th International Conference on Energy Sustainability collocated with the ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/es2012-91184.

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The optimum tilt angle of a photovoltaic (PV) system was found by varying it between 9° and 49° at 5–10° increment over a period of three months and recording the output of the five different technologies installed. These technologies included mono-crystalline, poly-crystalline, HIT, thin film CdS/CdTe and thin film CIS modules. The yield and efficiency of these modules were determined experimentally and also by the SAM (Solar Advisor Model) computer software; these results correlated with each other to within ±15% with R2 = 0.72 (R = 0.85). This correlation improved when a longer period of ti
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Weicht, J. A., F. U. Hamelmann, A. Domnik, and G. Behrens. "Changes in the serial resistance Of a- Si, a-/μc-Si and mono-crystalline PV modules during the year." In 2014 IEEE 40th Photovoltaic Specialists Conference (PVSC). IEEE, 2014. http://dx.doi.org/10.1109/pvsc.2014.6925176.

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