Pub Date : 2024-10-25DOI: 10.1109/JPHOTOV.2024.3480589
{"title":"Call for Papers: Special Issue on Intelligent Sensor Systems for the IEEE Journal of Electron Devices","authors":"","doi":"10.1109/JPHOTOV.2024.3480589","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2024.3480589","url":null,"abstract":"","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"14 6","pages":"970-971"},"PeriodicalIF":2.5,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10736225","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142518219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1109/JPHOTOV.2024.3480591
{"title":"Call for Papers: Bridging the Data Gap in Photovoltaics with Synthetic Data Generation","authors":"","doi":"10.1109/JPHOTOV.2024.3480591","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2024.3480591","url":null,"abstract":"","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"14 6","pages":"972-973"},"PeriodicalIF":2.5,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10736161","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142517908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1109/JPHOTOV.2024.3478697
{"title":"IEEE Journal of Photovoltaics Information for Authors","authors":"","doi":"10.1109/JPHOTOV.2024.3478697","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2024.3478697","url":null,"abstract":"","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"14 6","pages":"C3-C3"},"PeriodicalIF":2.5,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10736236","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142518223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-23DOI: 10.1109/JPHOTOV.2024.3479269
Fan Zhu;Kai Xie;Dongwen Gan;Lei Quan;Jingyi Zhu
The inspection for photovoltaic (PV) module is mainly used in darkroom based on electroluminescence (EL) imaging. To improve the universality and anti-interference characteristic, this aricle proposes a pseudorandom-sequence coded EL (PRC-EL) for PV module inspection under ambient light. In the proposed method, the uncorrelated ambient light is inhibited by an equilibrium sequence, which results in a much higher anti-noise performance for PV inspection. The feasibility of the proposed PRC-EL method is verified mathematically and a prototype system is established in this work. The experimental results show that this method can significantly improve the anti-interference ability of EL detection method. The EL image can be recovered by using a 10 bit industrial camera for outdoor measurements (the peak is 286 $rm {W}/rm {m}^{2}$), the 40.8 $rm {W}/rm {m}^{2}$ can be tolerated by a low-cost 8-bit camera, suitable for indoor and cloudy environments. Furthermore, the stable high-quality images can be restored continuously using the adaptive-order PRC-EL method under widely varying ambient light conditions. The proposed method can make full use of daily working hours and conditions to perform nondestructive testing and online detection of PV modules, which expands the number of potential application scenarios for EL methods significantly. The proposed method shows major potential to provide improvements in the detailed regular inspection, classification, and performance research of PV modules.
{"title":"Pseudorandom Sequence Coded Electroluminescence Imaging for Photovoltaic Module Inspection Under Strong Environmental Light","authors":"Fan Zhu;Kai Xie;Dongwen Gan;Lei Quan;Jingyi Zhu","doi":"10.1109/JPHOTOV.2024.3479269","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2024.3479269","url":null,"abstract":"The inspection for photovoltaic (PV) module is mainly used in darkroom based on electroluminescence (EL) imaging. To improve the universality and anti-interference characteristic, this aricle proposes a pseudorandom-sequence coded EL (PRC-EL) for PV module inspection under ambient light. In the proposed method, the uncorrelated ambient light is inhibited by an equilibrium sequence, which results in a much higher anti-noise performance for PV inspection. The feasibility of the proposed PRC-EL method is verified mathematically and a prototype system is established in this work. The experimental results show that this method can significantly improve the anti-interference ability of EL detection method. The EL image can be recovered by using a 10 bit industrial camera for outdoor measurements (the peak is 286 <inline-formula><tex-math>$rm {W}/rm {m}^{2}$</tex-math></inline-formula>), the 40.8 <inline-formula><tex-math>$rm {W}/rm {m}^{2}$</tex-math></inline-formula> can be tolerated by a low-cost 8-bit camera, suitable for indoor and cloudy environments. Furthermore, the stable high-quality images can be restored continuously using the adaptive-order PRC-EL method under widely varying ambient light conditions. The proposed method can make full use of daily working hours and conditions to perform nondestructive testing and online detection of PV modules, which expands the number of potential application scenarios for EL methods significantly. The proposed method shows major potential to provide improvements in the detailed regular inspection, classification, and performance research of PV modules.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"15 2","pages":"332-342"},"PeriodicalIF":2.5,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-21DOI: 10.1109/JPHOTOV.2024.3476961
Christian Breyer;Gabriel Lopez;Arman Aghahosseini;Dmitrii Bogdanov;Rasul Satymov;Ayobami Solomon Oyewo
With the growth of solar photovoltaics (PV) in recent years as the largest power source by capacity added, the energy-industry transition towards high sustainability is accelerating. However, the energy-industry systems of the Americas are largely lagging as fossil fuels still dominate the electricity generation mix and the system as a whole. Energy-industry transition pathways are developed for all countries of the Americas reaching 100% renewable energy (RE) by 2050 for all energy and industry sectors. To benchmark the transition to 100% RE, the results are compared to current energy policies across the Americas, representing business-as-usual (BAU) conditions. The results indicate the significant potential to expand RE, especially solar PV, to reach the 100% RE target and fully defossilize each region's economy. The levelized cost of electricity (LCOE) can be reduced from its current level of 71 €/MWh to 24 €/MWh in 2050, and the levelized cost of final energy (LCOFE) sees reductions from 49 to 40 €/MWh from 2020 to 2050. Conversely, under BAU conditions, the LCOE only sees moderate reductions to 43 €/MWh in 2050, and the LCOFE remains relatively stable at 39 €/MWh in 2050. Widespread electrification across energy-industry sectors requires significant expansion of solar PV, which accounts for 78% of all electricity supply, leading to 14.8 TW of installed capacity. Furthermore, e-hydrogen for e-fuels and e-chemicals leads to an electrolyser capacity of 4.3 TW el