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2021-2025
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Applied Energy

A novel vibration energy harvesting system integrated with an inertial pendulum for zero-energy sensor applications in freight trains
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV
Authors: Zheng Fang; Xing Tan; Genshuo Liu; Zijie Zhou; +3 Authors
Zheng Fang; Xing Tan; Genshuo Liu; Zijie Zhou; Yajia Pan; Ammar Ahmed; Zutao Zhang;
doi: 10.1016/j.apenergy.2022.119197
doi: 10.1016/j.apenergy.2022.119197
Applied Energyarrow_drop_down
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Article . 2022 . Peer-reviewed
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34
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Strategy for mitigating wake interference between offshore vertical-axis wind turbines: Evaluation of vertically staggered arrangement
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Limin Kuang; Hiroshi Katsuchi; Dai Zhou; Yaoran Chen; +6 Authors
Limin Kuang; Hiroshi Katsuchi; Dai Zhou; Yaoran Chen; Zhaolong Han; Kai Zhang; Jiaqi Wang; Yan Bao; Yong Cao; Yijie Liu;
doi: 10.1016/j.apenergy.2023.121850
doi: 10.1016/j.apenergy.2023.121850
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Article . 2023 . Peer-reviewed
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A multi-fidelity framework for power prediction of wind farm under yaw misalignment
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Yu Tu; Yaoran Chen; Kai Zhang; Ruiyang He; +2 Authors
Yu Tu; Yaoran Chen; Kai Zhang; Ruiyang He; Zhaolong Han; Dai Zhou;
doi: 10.1016/j.apenergy.2024.124600 , 10.2139/ssrn.4602637
doi: 10.1016/j.apenergy.2024.124600 , 10.2139/ssrn.4602637
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Prediction and optimization of gas distribution quality for high-temperature PEMFC based on data-driven surrogate model
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV
Authors: Shutong Deng; Jun Zhang; Caizhi Zhang; Mengzhu Luo; +3 Authors
Shutong Deng; Jun Zhang; Caizhi Zhang; Mengzhu Luo; Meng Ni; Yu Li; Tao Zeng;
doi: 10.1016/j.apenergy.2022.120000
doi: 10.1016/j.apenergy.2022.120000
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33
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Flow and heat transfer performance of bionic heat transfer structures with hybrid triply periodic minimal surfaces
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Hong Xu; Wenhui Yu; Yuan Zhang; Suli Ma; +2 Authors
Hong Xu; Wenhui Yu; Yuan Zhang; Suli Ma; Zhiyuan Wu; Xiaohu Liu;
doi: 10.1016/j.apenergy.2023.121847
doi: 10.1016/j.apenergy.2023.121847
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22
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Revealing the internal short circuit mechanisms in lithium-ion batteries upon dynamic loading based on multiphysics simulation
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Lubing Wang; Jianping Li; Jiaying Chen; Xudong Duan; +2 Authors
Lubing Wang; Jianping Li; Jiaying Chen; Xudong Duan; Binqi Li; Jiani Li;
doi: 10.1016/j.apenergy.2023.121790
doi: 10.1016/j.apenergy.2023.121790
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21
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Complementary operation with wind and photovoltaic power induces the decrease in hydropower efficiency
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Qian Cheng; Pan Liu; Maoyuan Feng; Lei Cheng; +6 Authors
Qian Cheng; Pan Liu; Maoyuan Feng; Lei Cheng; Bo Ming; Xinran Luo; Weibo Liu; Weifeng Xu; Kangdi Huang; Jun Xia;
doi: 10.1016/j.apenergy.2023.121006
doi: 10.1016/j.apenergy.2023.121006
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Exploration of hydrothermal liquefaction of multiple algae to improve bio-crude quality and carbohydrate utilization
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV
Authors: Shengfei Dong; Ziyu Liu; Xiaoyi Yang;
doi: 10.1016/j.apenergy.2024.122861
doi: 10.1016/j.apenergy.2024.122861
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Impact of hybrid heat pump shares and building envelope retrofit rates on load penetration in German low-voltage grids
descriptionPublicationkeyboard_double_arrow_right Article 2025 Germany Publisher:Elsevier BV
Authors: Fabian Wüllhorst; Sebastian Schwarz; Nico Fuchs; Laura Maier; +2 Authors
Fabian Wüllhorst; Sebastian Schwarz; Nico Fuchs; Laura Maier; Antonello Monti; Dirk Müller;
doi: 10.1016/j.apenergy.2025.125530 , 10.18154/rwth-2025-02939
doi: 10.1016/j.apenergy.2025.125530 , 10.18154/rwth-2025-02939
Applied energy 388, 125530 (2025). doi:10.1016/j.apenergy.2025.125530 Published by Elsevier Science, Amsterdam [u.a.]
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A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2022Publisher:Elsevier BV
Authors: Yongjun Sun; Zhenjun Ma; Haoshan Ren; Chengliang Xu;
doi: 10.1016/j.apenergy.2021.117985
doi: 10.1016/j.apenergy.2021.117985
Abstract Accurate rooftop solar energy potential characterization is critically important for promoting the wide penetration of renewable energy in high-density cities. However, it has been a long-standing challenge due to the complex building shading effects and diversified rooftop availabilities. To overcome the challenge, this study proposed a novel 3D-geographic information system (GIS) and deep learning integrated approach, in which a 3D-GIS-based solar irradiance analyzer was developed to predict dynamic rooftop solar irradiance by taking shading effects of surrounding buildings into account. A deep learning framework was developed to identify the rooftop availabilities. Experimental validations have shown their high accuracies. As a case study, a real urban region of Hong Kong was used. The results showed that the annual solar energy potential of the entire building group was reduced by 35.7% due to the shading effect and the reduced rooftop availability. The reductions of individual buildings varied from 13.4% to 74.5%. In spite of the substantial reductions of the annual solar energy, the shading effect could only slightly reduce the peak solar power. In fact, the annual solar energy reduction could be five times higher than the peak solar power reduction. Further analysis showed that simple addition of the respective solar energy potential reductions, caused by the shading effect and the rooftop availability, tends to highly overestimate the total reduction by up to 26%. For this reason, their impacts cannot be considered separately but as joint effects. The integrated approach provides a viable means to accurately characterize rooftop solar energy potential in urban regions, which can help facilitate solar energy applications in high-density cities.
Applied Energyarrow_drop_down
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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

3,724 Research products

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A novel vibration energy harvesting system integrated with an inertial pendulum for zero-energy sensor applications in freight trains
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV
Authors: Zheng Fang; Xing Tan; Genshuo Liu; Zijie Zhou; +3 Authors
Zheng Fang; Xing Tan; Genshuo Liu; Zijie Zhou; Yajia Pan; Ammar Ahmed; Zutao Zhang;
doi: 10.1016/j.apenergy.2022.119197
doi: 10.1016/j.apenergy.2022.119197
Applied Energyarrow_drop_down
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Strategy for mitigating wake interference between offshore vertical-axis wind turbines: Evaluation of vertically staggered arrangement
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Limin Kuang; Hiroshi Katsuchi; Dai Zhou; Yaoran Chen; +6 Authors
Limin Kuang; Hiroshi Katsuchi; Dai Zhou; Yaoran Chen; Zhaolong Han; Kai Zhang; Jiaqi Wang; Yan Bao; Yong Cao; Yijie Liu;
doi: 10.1016/j.apenergy.2023.121850
doi: 10.1016/j.apenergy.2023.121850
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A multi-fidelity framework for power prediction of wind farm under yaw misalignment
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Yu Tu; Yaoran Chen; Kai Zhang; Ruiyang He; +2 Authors
Yu Tu; Yaoran Chen; Kai Zhang; Ruiyang He; Zhaolong Han; Dai Zhou;
doi: 10.1016/j.apenergy.2024.124600 , 10.2139/ssrn.4602637
doi: 10.1016/j.apenergy.2024.124600 , 10.2139/ssrn.4602637
Applied Energyarrow_drop_down
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Prediction and optimization of gas distribution quality for high-temperature PEMFC based on data-driven surrogate model
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV
Authors: Shutong Deng; Jun Zhang; Caizhi Zhang; Mengzhu Luo; +3 Authors
Shutong Deng; Jun Zhang; Caizhi Zhang; Mengzhu Luo; Meng Ni; Yu Li; Tao Zeng;
doi: 10.1016/j.apenergy.2022.120000
doi: 10.1016/j.apenergy.2022.120000
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Flow and heat transfer performance of bionic heat transfer structures with hybrid triply periodic minimal surfaces
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Hong Xu; Wenhui Yu; Yuan Zhang; Suli Ma; +2 Authors
Hong Xu; Wenhui Yu; Yuan Zhang; Suli Ma; Zhiyuan Wu; Xiaohu Liu;
doi: 10.1016/j.apenergy.2023.121847
doi: 10.1016/j.apenergy.2023.121847
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Revealing the internal short circuit mechanisms in lithium-ion batteries upon dynamic loading based on multiphysics simulation
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Lubing Wang; Jianping Li; Jiaying Chen; Xudong Duan; +2 Authors
Lubing Wang; Jianping Li; Jiaying Chen; Xudong Duan; Binqi Li; Jiani Li;
doi: 10.1016/j.apenergy.2023.121790
doi: 10.1016/j.apenergy.2023.121790
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Complementary operation with wind and photovoltaic power induces the decrease in hydropower efficiency
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Qian Cheng; Pan Liu; Maoyuan Feng; Lei Cheng; +6 Authors
Qian Cheng; Pan Liu; Maoyuan Feng; Lei Cheng; Bo Ming; Xinran Luo; Weibo Liu; Weifeng Xu; Kangdi Huang; Jun Xia;
doi: 10.1016/j.apenergy.2023.121006
doi: 10.1016/j.apenergy.2023.121006
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Exploration of hydrothermal liquefaction of multiple algae to improve bio-crude quality and carbohydrate utilization
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV
Authors: Shengfei Dong; Ziyu Liu; Xiaoyi Yang;
doi: 10.1016/j.apenergy.2024.122861
doi: 10.1016/j.apenergy.2024.122861
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Impact of hybrid heat pump shares and building envelope retrofit rates on load penetration in German low-voltage grids
descriptionPublicationkeyboard_double_arrow_right Article 2025 Germany Publisher:Elsevier BV
Authors: Fabian Wüllhorst; Sebastian Schwarz; Nico Fuchs; Laura Maier; +2 Authors
Fabian Wüllhorst; Sebastian Schwarz; Nico Fuchs; Laura Maier; Antonello Monti; Dirk Müller;
doi: 10.1016/j.apenergy.2025.125530 , 10.18154/rwth-2025-02939
doi: 10.1016/j.apenergy.2025.125530 , 10.18154/rwth-2025-02939
Applied energy 388, 125530 (2025). doi:10.1016/j.apenergy.2025.125530 Published by Elsevier Science, Amsterdam [u.a.]
Applied Energyarrow_drop_down
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Article . 2025 . Peer-reviewed
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Publikationsserver der RWTH Aachen University
Article . 2025
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https://dx.doi.org/10.18154/rw...
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A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2022Publisher:Elsevier BV
Authors: Yongjun Sun; Zhenjun Ma; Haoshan Ren; Chengliang Xu;
doi: 10.1016/j.apenergy.2021.117985
doi: 10.1016/j.apenergy.2021.117985
Abstract Accurate rooftop solar energy potential characterization is critically important for promoting the wide penetration of renewable energy in high-density cities. However, it has been a long-standing challenge due to the complex building shading effects and diversified rooftop availabilities. To overcome the challenge, this study proposed a novel 3D-geographic information system (GIS) and deep learning integrated approach, in which a 3D-GIS-based solar irradiance analyzer was developed to predict dynamic rooftop solar irradiance by taking shading effects of surrounding buildings into account. A deep learning framework was developed to identify the rooftop availabilities. Experimental validations have shown their high accuracies. As a case study, a real urban region of Hong Kong was used. The results showed that the annual solar energy potential of the entire building group was reduced by 35.7% due to the shading effect and the reduced rooftop availability. The reductions of individual buildings varied from 13.4% to 74.5%. In spite of the substantial reductions of the annual solar energy, the shading effect could only slightly reduce the peak solar power. In fact, the annual solar energy reduction could be five times higher than the peak solar power reduction. Further analysis showed that simple addition of the respective solar energy potential reductions, caused by the shading effect and the rooftop availability, tends to highly overestimate the total reduction by up to 26%. For this reason, their impacts cannot be considered separately but as joint effects. The integrated approach provides a viable means to accurately characterize rooftop solar energy potential in urban regions, which can help facilitate solar energy applications in high-density cities.
Applied Energyarrow_drop_down
Applied Energy
Article . 2022 . Peer-reviewed
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A novel vibration energy harvesting system integrated with an inertial pendulum for zero-energy sensor applications in freight trains

Strategy for mitigating wake interference between offshore vertical-axis wind turbines: Evaluation of vertically staggered arrangement

A multi-fidelity framework for power prediction of wind farm under yaw misalignment

Prediction and optimization of gas distribution quality for high-temperature PEMFC based on data-driven surrogate model

Flow and heat transfer performance of bionic heat transfer structures with hybrid triply periodic minimal surfaces

Revealing the internal short circuit mechanisms in lithium-ion batteries upon dynamic loading based on multiphysics simulation

Complementary operation with wind and photovoltaic power induces the decrease in hydropower efficiency

Exploration of hydrothermal liquefaction of multiple algae to improve bio-crude quality and carbohydrate utilization

Impact of hybrid heat pump shares and building envelope retrofit rates on load penetration in German low-voltage grids

A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities

A novel vibration energy harvesting system integrated with an inertial pendulum for zero-energy sensor applications in freight trains

Strategy for mitigating wake interference between offshore vertical-axis wind turbines: Evaluation of vertically staggered arrangement

A multi-fidelity framework for power prediction of wind farm under yaw misalignment

Prediction and optimization of gas distribution quality for high-temperature PEMFC based on data-driven surrogate model

Flow and heat transfer performance of bionic heat transfer structures with hybrid triply periodic minimal surfaces

Revealing the internal short circuit mechanisms in lithium-ion batteries upon dynamic loading based on multiphysics simulation

Complementary operation with wind and photovoltaic power induces the decrease in hydropower efficiency

Exploration of hydrothermal liquefaction of multiple algae to improve bio-crude quality and carbohydrate utilization

Impact of hybrid heat pump shares and building envelope retrofit rates on load penetration in German low-voltage grids

A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities

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