Article
Energy & Fuels
Sikandar Aftab, Muhammad Zahir Iqbal, Shahid Alam, Meshal Alzaid
Summary: Research has shown that adding an optimal thickness of Al2O3 interlayer and PFSA doping between graphene and n-type Si interfaces can effectively reduce surface recombination and improve the conversion efficiency of silicon/graphene Schottky junction photovoltaic cells. In addition, changing the work function of graphene can increase the photoresponsivity of the photovoltaic cell.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Anubrata Das, Yugal Gupta, Sandeep Anand, Soumya Ranjan Sahoo
Summary: This article proposes a temperature droop-based dynamic reactive power sharing technique to distribute the thermal stress caused by mean junction temperature and junction temperature swing, and verifies the effectiveness of the technique through simulation and experimentation.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Environmental Sciences
Shubham Kumar, P. M. V. Subbarao
Summary: Solar photovoltaic technology has the potential to produce renewable energy and reduce greenhouse gas emissions. A new model based on the finite difference method has been developed to predict the operating cell temperature of a solar PV system. The model also proposes a novel function to predict PV efficiency more accurately.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Fabiano Perin Gasparin, Felipe Detzel Kipper, Fernando Schuck de Oliveira, Arno Krenzinger
Summary: This paper experimentally evaluates the variation of temperature coefficients (TCs) with solar irradiance (G) for crystalline silicon PV modules. The TCs of short-circuit current (Isc) are almost constant with G, while the TCs of maximum power (Pm) increase for lower irradiance values. A new logarithmic function that fits the experimental data is proposed to improve PV device modeling.
Article
Green & Sustainable Science & Technology
Fahad Al-Amri, Farooq Saeed, Muhammad Abdul Mujeebu
Summary: One of the major challenges in the PV industry is to effectively cool the PV panel during its operation. This study introduces a dual-function PV panel racking structure that acts as both a mechanical support and a heat sink. Numerical analysis and field experiments validate that the modified structure can reduce panel temperature and increase panel efficiency, resulting in a lower levelized cost of electricity.
Review
Energy & Fuels
Kemal Bilen, Ismail Erdogan
Summary: The sun is the most important energy source for the world and solar energy can be converted to electricity using PV/T solar panels. The efficiency of PV/T solar panels is low due to temperature increase, which can be improved by cooling techniques. This comprehensive review study analyzes cooling techniques used in previous studies and presents the decrease in temperature and enhancement in electrical efficiency.
Article
Engineering, Electrical & Electronic
Demetrio Iero, Massimo Merenda, Sonia Polimeni, Riccardo Carotenuto, Francesco G. Della Corte
Summary: The paper introduces a new method for measuring the actual junction temperature TJ of power light emitting diodes used in high-end luminaires, which does not require a stable current source but relies on exponential fitting and mathematical interpolation to estimate bias voltage, providing important information for reducing stress and extending the lifetime of the light sources.
IEEE SENSORS JOURNAL
(2021)
Article
Energy & Fuels
Ahmed R. Ginidi, Abdullah M. Shaheen, Ragab A. El-Sehiemy, Ehab Elattar
Summary: This article introduces a new application of the Supply-Demand-Based Optimization (SDO) algorithm for accurately extracting the electrical parameters of different PV models. By optimizing the electrical parameters of three different models, the goal is to minimize the total error between experimental data and the proposed approach. The SDO algorithm simulates the stability and instability modes of the supply-demand mechanism in market economy, showing superiority over other optimization techniques.
Article
Engineering, Electrical & Electronic
Xi Jiang, Jun Wang, Hengyu Yu, Jianjun Chen, Zhong Zeng, Xin Yang, Z. John Shen
Summary: The article presents a potential approach for junction temperature estimation of SiC MOSFETs based on dynamic threshold voltage without the influence of load current variation. Experimental evaluation demonstrates a linear relationship between dynamic threshold voltage and junction temperature for SiC MOSFETs.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Energy & Fuels
Bo Zhang, Yuan Gao, Enze Yang, Tiecheng Li, Xuekai Hu
Summary: This paper investigates the lifetime evaluation method of PV inverters. By dividing the junction temperature profile and defining the concepts of fundamental frequency and low frequency junction temperature, the influence mechanism of these temperatures on the evaluation is revealed, and an evaluation method considering these influences is proposed. Through studying the lifetime damage of PV inverters under different mission profiles and sampling periods, the influence of fundamental frequency and low frequency junction temperature on the evaluation is analyzed, improving the accuracy of evaluation and guiding the maintenance of PV inverters to reduce economic losses.
Article
Green & Sustainable Science & Technology
Samuel Godfrey
Summary: Solar PV systems in Africa often fail a few years after installation due to high-temperature environments. This paper focuses on redesigning a solar PV kiosk in Burundi to improve its sustainability, and investigates the impact of high-temperature environments on solar PV panels and batteries. The use of a refrigeration cooling system is recommended as a cost-effective and sustainable option.
Article
Engineering, Electrical & Electronic
Seyed Mojtaba Sadati Faramarzi, Bin Luo, Jef Poortmans, Jan Genoe, Kris Myny
Summary: Accurate efficiency prediction, improved reliability, and extended lifetime of solar modules are key factors driving investment and research in photovoltaic (PV) systems. Incorporating data from localized monitoring of solar modules enhances performance and improves modeling. This study combines flexible thin-film transistor (TFT) interface circuits with distributed temperature sensors integrated into solar cell lamination to enable in-module within-cell PV monitoring. A TFT multiplexer selects sensors and is controlled via a serial peripheral interface (SPI) to reduce IO connections, while a low offset unity-gain TFT buffer ensures precise signal transfer. The in-cell sensors, along with the TFT read-out circuitry, demonstrate accurate outdoor temperature monitoring comparable to silicon integrated circuits.
IEEE JOURNAL OF SOLID-STATE CIRCUITS
(2023)
Article
Energy & Fuels
Youssef Mallal, Dinesh K. Sharma, Lhoussain El Bahir, Touria Hassboun
Summary: This study investigates a temperature prediction-based approach for performance analysis of a solar photovoltaic system. By predicting module temperature and utilizing optimized modeling techniques, accurate performance evaluation results can be achieved.
Article
Thermodynamics
Abdulhadi Abdallah, Richard Opoku, Charles K. K. Sekyere, Samuel Boahen, Kofi O. Amoabeng, Felix Uba, George Y. Obeng, Francis K. Forson
Summary: This paper investigates the performance of solar PV modules with the integration of four different thermal management techniques. The results show that different cooling techniques can significantly improve the second law efficiency and maintain lower and more stable temperatures for the PV panels.
CASE STUDIES IN THERMAL ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Fei Yang, Shi Pu, Chi Xu, Bilal Akin
Summary: The article introduces a method for online junction temperature measurement of SiC MOSFETs using turn-ON delay time. By converting the turn-ON delay time into a pulsewidth through intelligent gate drive, and then converting it to junction temperature with high resolution capture module, a high sensitivity online measurement solution is provided.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Thermodynamics
Bin-Juine Huang, Po-Chien Hsu, Rung-Je Tsai, Muhammad Mustafa Hussain
APPLIED THERMAL ENGINEERING
(2015)
Article
Engineering, Chemical
Bin-Juine Huang, Tze-Ling Chong, Po-Hsien Wu, Han-Yi Dai, Yeong-Chuan Kao
Article
Thermodynamics
K. O. Shestopalov, B. J. Huang, V. O. Petrenko, O. S. Volovyk
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
(2015)
Article
Thermodynamics
K. O. Shestopalov, B. J. Huang, V. O. Petrenko, O. S. Volovyk
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
(2015)
Article
Thermodynamics
Tung-Fu Hou, Yu-Yuan Hsieh, Ting-Le Lin, Yi-Hung Chuang, Bin-Juine Huang
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
(2016)
Article
Green & Sustainable Science & Technology
Po-Chien Hsu, Bin-Juine Huang, Wei-Chivan Lin, Yu-Jen Chang, Cheng-Jui Chang, Kang Li, Kung-Yen Lee
Article
Green & Sustainable Science & Technology
Bin-Juine Huang, Tung-Fu Hou, Po-Chien Hsu, Tse-Han Lin, Yan-Tze Chen, Chi-Wen Chen, Kang Li, K. Y. Lee
Article
Thermodynamics
Kung-Yen Lee, Chi-Yao Chung, Bin-Juine Huang, Ting-Jung Kuo, Huang-Wei Yang, Hung-Yen Cheng, Po-Chien Hsu, Kang Li
ENERGY CONVERSION AND MANAGEMENT
(2017)
Article
Thermodynamics
Yu-Yuan Hsieh, Yi-Hung Chuang, Tung-Fu Hou, Bin-Juine Huang
APPLIED THERMAL ENGINEERING
(2018)
Article
Energy & Fuels
Bin-Juine Huang, Cheng-Kang Guan, Shih-Han Huang, Wei-Fang Su
Article
Energy & Fuels
Bin-Juine Huang, Hsin-Yi Hsu, Guan-Cheng Huang, An-Lun Lee, Po-Chien Hsu
Article
Multidisciplinary Sciences
Bin-Juine Huang, Po-Chien Hsu, Yi-Hung Wang, Tzu-Chiao Tang, Jia-Wei Wang, Xin-Hong Dong, Ming-Jia Lee, Jen-Fu Yeh, Zi-Ming Dong, Min-Han Wu, Shen-Jie Sia, Kang Li, Kung-Yen Lee
SN APPLIED SCIENCES
(2019)
Proceedings Paper
Energy & Fuels
Bin-Juine Huang, Po-Chien Hsu, Yi-Hung Wang, Tzu-Chiao Tang, Jia-Wei Wang, Xin-Hong Dong, Hsin-Yi Hsu, Kang Li, Kung-Yen Lee
2017 6TH INTERNATIONAL CONFERENCE ON POWER SCIENCE AND ENGINEERING (ICPSE 2017)
(2018)
Proceedings Paper
Energy & Fuels
Po-Chien Hsu, Bin-Juine Huang, Po-Hsien Wu, Wei-Hau Wu, Min-Jia Lee, Jen-Fu Yeh, Yi-Hong Wang, Jon-Han Tsai, Kang Li, Kung-Yen Lee
POWER AND ENERGY SYSTEMS ENGINEERING, (CPESE 2017)
(2017)
Article
Thermodynamics
Bin-Juine Huang, Yi-Hung Chuang, Po-En Yang
APPLIED THERMAL ENGINEERING
(2017)
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.
