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Pavel V. Matrenin, Valeriy V. Gamaley, Alexandra I. Khalyasmaa and Alina I. Stepanova
Forecasting the generation of solar power plants (SPPs) requires taking into account meteorological parameters that influence the difference between the solar irradiance at the top of the atmosphere calculated with high accuracy and the solar irradiance ...
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Kaijie Huang, Chengjun Qiu, Wenbin Xie, Wei Qu, Yuan Zhuang, Kaixuan Chen, Jiaqi Yan, Gao Huang, Chao Zhang and Jianfeng Hao
The paper presents a wind?photovoltaic-thermal hybrid-driven two-stage humidification and dehumidification desalination system for remote island regions lacking access to electricity and freshwater resources. By conducting an analysis of the wind and sol...
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Kristian Balzer and David Watts
Modern electrical power systems integrate renewable generation, with solar generation being one of the pioneers worldwide. In Latin America, the greatest potential and development of solar generation is found in Chile through the National Electric System...
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Christian Bipongo Ndeke, Marco Adonis and Ali Almaktoof
This paper presents an energy management strategy using a Stateflow controller related to DC microgrids with the important penetration of renewable energy. The increase in world electricity demand is one of the principal drivers of the exhaustion of foss...
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Süleyman Emre Eyimaya and Necmi Altin
Microgrids usually employ distributed energy resources such as wind turbines, solar photovoltaic modules, etc. When multiple distributed generation resources with different features are used in microgrids, managing these resources becomes an important pr...
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Yin Tang, Lizhuo Zhang, Dan Huang, Sha Yang and Yingchun Kuang
In view of the current problems of complex models and insufficient data processing in ultra-short-term prediction of photovoltaic power generation, this paper proposes a photovoltaic power ultra-short-term prediction model named HPO-KNN-SRU, based on a S...
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Moslem Imani, Hoda Fakour, Shang-Lien Lo, Mei-Hua Yuan, Chih-Kuei Chen, Shariat Mobasser and Isara Muangthai
The negative effects of climate change have burdened humanity with the necessity of decarbonization by moving to clean and renewable sources of energy generation. While energy demand varies across the sectors, fisheries, including fishing and aquaculture...
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Uchechi Ukaegbu, Lagouge Tartibu and C. W. Lim
Energy demand and consumption have, in recent times, witnessed a rapid proliferation influenced by technological developments, increased population and economic growth. This has fuelled research trends in the domain of energy management employing tri-gen...
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Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol
The Machine Learning/Deep Learning (ML/DL) forecasting model has helped stakeholders overcome uncertainties associated with renewable energy resources and time planning for probable near-term power fluctuations. Nevertheless, the effectiveness of long-te...
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Jiaqi Yan, Chengjun Qiu, Yuangan Wang, Ning Wu, Wei Qu, Yuan Zhuang, Guohui Yan, Ping Wang, Ruoyu Zhang, Yirou Yan, Ruonan Deng, Jiuqiang Luo, Jiaqi Gao and Yuxuan Wu
This research proposes a seawater desalination system driven by photovoltaic and solar thermal energy for remote regions such as islands and seaside villages where fresh water is not accessible. The performance of this system is demonstrated through expe...
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