The role of solar thermal hydrogen production technologies in future energy solutions: A review by Md. Shameem Hossain, Md. Nasirul Islam, Khaza Shahriar, Mohammad Mujtaba Hasan, Md. Sohag Hossain

“…This study mainly includes solar thermal hydrogen production technologies, corresponding Concentrated Solar Power (CSP) systems, and its cost/benefit analysis. …”
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Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems by Radhey Shyam Meena, Anoop Singh, Shilpa Urhekar, null RohitBhakar, Neeraj Kumar Garg, Mohammad Israr, D. P. Kothari, C. Chiranjeevi, Prasath Srinivasan

“…This study looks into artificial intelligence methods for scaling solar power systems, such as standalone, grid-connected, and hybrid systems, in order to lessen environmental effect. …”
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Comparison of Molten Salts and Thermal Oil in Parabolic Trough Power Plants for Different Sites and Different Storage Capacities by Jürgen Dersch, Michael Karl Wittmann, Tobias Hirsch

“…This study compares the levelized cost of energy (LCOE) of parabolic trough solar power plants using thermal oil or two different molten salt mixtures located at three different sites and with different thermal storage capacities. …”
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Optimization of the Shell Thickness of the ZnO/CdS Core-Shell Nanowire Arrays in a CZTS Absorber by Chonge Wang, Boubacar Drame, Lucien Niare, Fu Yuegang

“…Copper-zinc-tin-sulfide (CZTS) solar cells have now become a topic of interest in the solar power generation industry. These are used as an absorber in the zinc oxide (ZnO)/cadmium sulfide (CdS) core-shell nanowire arrays, in order to improve the performance of solar cells. …”
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Performance Prediction of Building Integrated Photovoltaic System Using Hybrid Deep Learning Algorithm by Manivannan Ragupathi, Rengaraj Ramasubbu

“…In a grid-connected photovoltaic system, forecasting is a necessary and critical step. Solar Power is very nonlinear; this article develops and analyses building integrated photovoltaic (BIPV) forecasting algorithms for different timeframes, such as an hour, a day, and a week ahead, to manage grid operation effectively. …”
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Phospholipid Adsorption Polymeric Materials for Detection of Xylazine and Metabolite in Blood and Urine by Xue Gao, Hao Guo, Chaokang Gu

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Engaging electricity consumers in low-carbon development process in the People’s Republic of China by Liangzhe Wang

“…The article analyses the difference in the total installed capacity of wind and solar power plants with their electricity generation in the Chinese energy system. …”
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Modelling and Assessing the Performance of Hybrid PV-CSP Plants in Morocco: A Parametric Study by Loubna Bousselamti, Mohamed Cherkaoui

“…Based on the examination of the efficiency of solar plants, this study focuses on three main plants: a photovoltaic (PV) plant, a concentrated solar power (CSP) plant, and a hybrid PV/CSP plant. …”
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Study on Concentrating Characteristics of a Solar Parabolic Dish Concentrator within High Radiation Flux by Qianjun Mao, Liya Zhang, Hongjun Wu

“…The results can provide a reference for future design and application of concentrating solar power.…”
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ASSESSMENT OF A HYBRID WIND-PV SYSTEM FOR POWER GENERATION IN URBAN AREAS: LITHUANIAN CASE STUDY by Giedrius Gecevičius, Vladislovas Katinas

“…The efficiency of the system depends on different scale wind and solar power plants, the influence of obstacles and meteorological conditions.…”
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Hardware Implementation of a Fuzzy Logic Controller for a Hybrid Wind-Solar System in an Isolated Site by Aymen Jemaa, Ons Zarrad, Mohamed Ali Hajjaji, Mohamed Nejib Mansouri

“…In this paper, two main contributions are presented to manage the power flow between a wind turbine and a solar power system. The first one is to use the fuzzy logic controller as an objective to find the maximum power point tracking, applied to a hybrid wind-solar system, at fixed atmospheric conditions. …”
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Hourly Forecasting of Solar Photovoltaic Power in Pakistan Using Recurrent Neural Networks by Sohrab Khan, Faheemullah Shaikh, Mokhi Maan Siddiqui, Tanweer Hussain, Laveet Kumar, Afroza Nahar

“…Data used in this paper is of one entire year and is acquired from a 100 MW solar power plant, namely, Quaid-e-Azam Solar Park, Bahawalpur, Pakistan. …”
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Enhanced fault detection in zig-zag transformers: Insights from dissolved gas analysis and transient current analysis by Ricardo Manuel Arias Velásquez, Renato Fabricio Arias Velásquez

“…This research article investigates the performance and fault detection capabilities of 35 zig-zag transformers connected to solar power plants in the medium voltage busbar, focusing on “dissolved gas analysis” (DGA) and fault diagnostics. …”
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Contribution of Daylighting to Saving Electrical Energy in Cameroon: Case Study of a Classroom in a Public School by Merimé Souffo Tagueu, Lionelle Adelaїde Madjou Tanekou, Benoît Ndzana

“…The solutions proposed so far relate to the construction of new hydroelectric dams and solar power plants, but this requires a lot of time and enormous financial resources. …”
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Fast Partial Shading Detection on PV Modules for Precise Power Loss Ratio Estimation Using Digital Image Processing by Eko Adhi Setiawan, Muhammad Fathurrahman, Radityo Fajar Pamungkas, Samsul Ma’arif

“…To prevent it, an enormous effort for PV inspection is needed especially for large solar power plants. Hence, automatic partial shading detection is critical in preventing PV hot spots to assist maintenance activities which are associated with a drop in energy output. …”
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Effects of Absorber Emissivity on Thermal Performance of a Solar Cavity Receiver by Jiabin Fang, Nan Tu, Jinjia Wei

“…Solar cavity receiver is a key component to realize the light-heat conversion in tower-type solar power system. It usually has an aperture for concentrated sunlight coming in, and the heat loss is unavoidable because of this aperture. …”
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Cost-benefit analysis in demand response with penalty and grid management using blockchain by Manikandan Ramasamy, Thenmalar Kaliannan, Saravanakumar Ramasamy

“…In this case, a microgrid is a grid-connected system that combines wind and solar power. Demand response and renewables have a significant impact on how well electricity distribution networks operate. …”
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Modelling and Prediction of Photovoltaic Power Output Using Artificial Neural Networks by Aminmohammad Saberian, H. Hizam, M. A. M. Radzi, M. Z. A. Ab Kadir, Maryam Mirzaei

“…This paper presents a solar power modelling method using artificial neural networks (ANNs). …”
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Climate Change Impact on Photovoltaic Energy Output: The Case of Greece by Ioanna S. Panagea, Ioannis K. Tsanis, Aristeidis G. Koutroulis, Manolis G. Grillakis

“…Solar power is the third major renewable energy, constituting an increasingly important component of global future—low carbon—energy portfolio. …”
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IoT-based Monitoring and Controlling System for Energy Consumption Costs from Battery Supply by Muhammad Fahmi Hakim, Wijaya Kusuma, Ismail Su’udi, Imron Ridzki, Awan Setiawan, Tresna Umar Syamsuri

“…Additionally, energy costs from the battery supply must be calculated and controlled to enable solar power plant entrepreneurs to profit practically. …”
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