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Applied Energy

Chemical looping gasification of high-moisture content biomass: The interactions between H2O and oxygen carrier
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV
Authors: Zhiyu Li; Jian Li; Tianxiao Yu; Xiaopeng Jia; +3 Authors
Zhiyu Li; Jian Li; Tianxiao Yu; Xiaopeng Jia; Juan Zhao; Beibei Yan; Guanyi Chen;
doi: 10.1016/j.apenergy.2024.123529
doi: 10.1016/j.apenergy.2024.123529
Applied Energyarrow_drop_down
Applied Energy
Article . 2024 . Peer-reviewed
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Multi-objective membrane search algorithm: A new solution for economic emission dispatch
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV
Authors: Wenhao Lai; Xiaoliang Zheng; Qi Song; Feng Hu; +2 Authors
Wenhao Lai; Xiaoliang Zheng; Qi Song; Feng Hu; Qiong Tao; Hualiang Chen;
doi: 10.1016/j.apenergy.2022.119969
doi: 10.1016/j.apenergy.2022.119969
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Increasing bioelectricity generation in microbial fuel cells by a high-performance cellulose-based membrane electrode assembly
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV
Authors: Mehrdad Mashkour; Mehrdad Mashkour; Mahdi Mashkour; Mostafa Rahimnejad; +1 Authors
Mehrdad Mashkour; Mehrdad Mashkour; Mahdi Mashkour; Mostafa Rahimnejad; Francesca Soavi;
doi: 10.1016/j.apenergy.2020.116150
doi: 10.1016/j.apenergy.2020.116150
Abstract Economically harvesting energy from a microbial fuel cell (MFC), increasing its electrical power production, and developing its role as a practical energy supply, needs a low-cost and high-performance design of the MFC compartments. According to this strategy, a novel monolithic membrane electrode assembly (MEA) was fabricated and evaluated as an air–cathode in a single-chamber MFC (SCMFC). The MEA was made of bacterial cellulose (BC), conductive multi-walled carbon nanotubes (CNT), and nano-zycosil (NZ). BC, as a nano-celluloses with oxygen barrier property, can maintain anaerobic conditions for the anode compartment. Binder-less CNT coating on BC avoids costly binders such as poly-tetra fluoro ethylene (PTFE) and Nafion and decreases the MEA charge transfer resistance. NZ, as a very cheap modifier, not only prevents the anolyte leakage but also provides more MEA’s active sites for the oxygen reduction reaction (ORR). The electrochemical performance of the MEA was compared to a PTFE- based gas diffusion electrode (GDE) in the SCMFC. The MEA cell provided a pulse power density of 1790 mW/m2, roughly twice as high as the pulse power density of GDE (920 mW/m2). SCMFC’s internal resistance decreased from 1.84 KΩ (with GDE) to 0.8 KΩ (with MEA). Also, the cell’s columbic efficiency increased from 4.2% (with GDE) to11.7% (with MEA). Additionally, the capacitance of the MEA (65 mF) was much higher than the value for GDE (0.73 mF). Thus, the MEA compared to the GDE showed higher performance in the SCMFC for electricity generation and wastewater treatment at a lower cost.
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Short-term wind power prediction using a novel model based on butterfly optimization algorithm-variational mode decomposition-long short-term memory
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Yonggang Wang; Kaixing Zhao; Yue Hao; Yilin Yao;
doi: 10.1016/j.apenergy.2024.123313 , 10.2139/ssrn.4677481
doi: 10.1016/j.apenergy.2024.123313 , 10.2139/ssrn.4677481
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Effect of clay on methane hydrate formation and dissociation in sediment: Implications for energy recovery from clayey-sandy hydrate reservoirs
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Zheng Liu; Junjie Zheng; Zhiyuan Wang; Yonghai Gao; +3 Authors
Zheng Liu; Junjie Zheng; Zhiyuan Wang; Yonghai Gao; Baojiang Sun; Youqiang Liao; Praveen Linga;
doi: 10.1016/j.apenergy.2023.121064
doi: 10.1016/j.apenergy.2023.121064
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A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Soroush Oshnoei; Mohammad Reza Aghamohammadi; Siavash Oshnoei; Subham Sahoo; +2 Authors
Soroush Oshnoei; Mohammad Reza Aghamohammadi; Siavash Oshnoei; Subham Sahoo; Arman Fathollahi; Mohammad Hasan Khooban;
doi: 10.1016/j.apenergy.2023.121233
doi: 10.1016/j.apenergy.2023.121233
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37
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Modeling and assessment of operation economic benefits for hydronic snow melting pavement system
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV
Authors: Huining Xu; Hao Shi; Yiqiu Tan; Qing Ye; +1 Authors
Huining Xu; Hao Shi; Yiqiu Tan; Qing Ye; Xiujie Liu;
doi: 10.1016/j.apenergy.2022.119977
doi: 10.1016/j.apenergy.2022.119977
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Performance evaluation of semitransparent PV window systems employing periodic thermal model
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV
Authors: Somil Yadav; Caroline Hachem-Vermette;
doi: 10.1016/j.apenergy.2023.122076
doi: 10.1016/j.apenergy.2023.122076
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A hybrid heuristic-reinforcement learning-based real-time control model for residential behind-the-meter PV-battery systems
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BVPublicly funded
Authors: Mostafa Rezaeimozafar; Maeve Duffy; Rory F.D. Monaghan; Enda Barrett;
doi: 10.1016/j.apenergy.2023.122244
doi: 10.1016/j.apenergy.2023.122244
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Safe deep reinforcement learning for building energy management
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BV
Authors: Xiangwei Wang; Peng Wang; Renke Huang; Xiuli Zhu; +2 Authors
Xiangwei Wang; Peng Wang; Renke Huang; Xiuli Zhu; Javier Arroyo; Ning Li;
doi: 10.1016/j.apenergy.2024.124328
doi: 10.1016/j.apenergy.2024.124328
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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

5,464 Research products

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Chemical looping gasification of high-moisture content biomass: The interactions between H2O and oxygen carrier
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV
Authors: Zhiyu Li; Jian Li; Tianxiao Yu; Xiaopeng Jia; +3 Authors
Zhiyu Li; Jian Li; Tianxiao Yu; Xiaopeng Jia; Juan Zhao; Beibei Yan; Guanyi Chen;
doi: 10.1016/j.apenergy.2024.123529
doi: 10.1016/j.apenergy.2024.123529
Applied Energyarrow_drop_down
Applied Energy
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Multi-objective membrane search algorithm: A new solution for economic emission dispatch
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV
Authors: Wenhao Lai; Xiaoliang Zheng; Qi Song; Feng Hu; +2 Authors
Wenhao Lai; Xiaoliang Zheng; Qi Song; Feng Hu; Qiong Tao; Hualiang Chen;
doi: 10.1016/j.apenergy.2022.119969
doi: 10.1016/j.apenergy.2022.119969
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Increasing bioelectricity generation in microbial fuel cells by a high-performance cellulose-based membrane electrode assembly
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV
Authors: Mehrdad Mashkour; Mehrdad Mashkour; Mahdi Mashkour; Mostafa Rahimnejad; +1 Authors
Mehrdad Mashkour; Mehrdad Mashkour; Mahdi Mashkour; Mostafa Rahimnejad; Francesca Soavi;
doi: 10.1016/j.apenergy.2020.116150
doi: 10.1016/j.apenergy.2020.116150
Abstract Economically harvesting energy from a microbial fuel cell (MFC), increasing its electrical power production, and developing its role as a practical energy supply, needs a low-cost and high-performance design of the MFC compartments. According to this strategy, a novel monolithic membrane electrode assembly (MEA) was fabricated and evaluated as an air–cathode in a single-chamber MFC (SCMFC). The MEA was made of bacterial cellulose (BC), conductive multi-walled carbon nanotubes (CNT), and nano-zycosil (NZ). BC, as a nano-celluloses with oxygen barrier property, can maintain anaerobic conditions for the anode compartment. Binder-less CNT coating on BC avoids costly binders such as poly-tetra fluoro ethylene (PTFE) and Nafion and decreases the MEA charge transfer resistance. NZ, as a very cheap modifier, not only prevents the anolyte leakage but also provides more MEA’s active sites for the oxygen reduction reaction (ORR). The electrochemical performance of the MEA was compared to a PTFE- based gas diffusion electrode (GDE) in the SCMFC. The MEA cell provided a pulse power density of 1790 mW/m2, roughly twice as high as the pulse power density of GDE (920 mW/m2). SCMFC’s internal resistance decreased from 1.84 KΩ (with GDE) to 0.8 KΩ (with MEA). Also, the cell’s columbic efficiency increased from 4.2% (with GDE) to11.7% (with MEA). Additionally, the capacitance of the MEA (65 mF) was much higher than the value for GDE (0.73 mF). Thus, the MEA compared to the GDE showed higher performance in the SCMFC for electricity generation and wastewater treatment at a lower cost.
Applied Energyarrow_drop_down
Applied Energy
Article . 2021 . Peer-reviewed
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Short-term wind power prediction using a novel model based on butterfly optimization algorithm-variational mode decomposition-long short-term memory
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Yonggang Wang; Kaixing Zhao; Yue Hao; Yilin Yao;
doi: 10.1016/j.apenergy.2024.123313 , 10.2139/ssrn.4677481
doi: 10.1016/j.apenergy.2024.123313 , 10.2139/ssrn.4677481
Applied Energyarrow_drop_down
Applied Energy
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Effect of clay on methane hydrate formation and dissociation in sediment: Implications for energy recovery from clayey-sandy hydrate reservoirs
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Zheng Liu; Junjie Zheng; Zhiyuan Wang; Yonghai Gao; +3 Authors
Zheng Liu; Junjie Zheng; Zhiyuan Wang; Yonghai Gao; Baojiang Sun; Youqiang Liao; Praveen Linga;
doi: 10.1016/j.apenergy.2023.121064
doi: 10.1016/j.apenergy.2023.121064
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A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Soroush Oshnoei; Mohammad Reza Aghamohammadi; Siavash Oshnoei; Subham Sahoo; +2 Authors
Soroush Oshnoei; Mohammad Reza Aghamohammadi; Siavash Oshnoei; Subham Sahoo; Arman Fathollahi; Mohammad Hasan Khooban;
doi: 10.1016/j.apenergy.2023.121233
doi: 10.1016/j.apenergy.2023.121233
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Modeling and assessment of operation economic benefits for hydronic snow melting pavement system
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV
Authors: Huining Xu; Hao Shi; Yiqiu Tan; Qing Ye; +1 Authors
Huining Xu; Hao Shi; Yiqiu Tan; Qing Ye; Xiujie Liu;
doi: 10.1016/j.apenergy.2022.119977
doi: 10.1016/j.apenergy.2022.119977
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Performance evaluation of semitransparent PV window systems employing periodic thermal model
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV
Authors: Somil Yadav; Caroline Hachem-Vermette;
doi: 10.1016/j.apenergy.2023.122076
doi: 10.1016/j.apenergy.2023.122076
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A hybrid heuristic-reinforcement learning-based real-time control model for residential behind-the-meter PV-battery systems
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BVPublicly funded
Authors: Mostafa Rezaeimozafar; Maeve Duffy; Rory F.D. Monaghan; Enda Barrett;
doi: 10.1016/j.apenergy.2023.122244
doi: 10.1016/j.apenergy.2023.122244
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Safe deep reinforcement learning for building energy management
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Elsevier BV
Authors: Xiangwei Wang; Peng Wang; Renke Huang; Xiuli Zhu; +2 Authors
Xiangwei Wang; Peng Wang; Renke Huang; Xiuli Zhu; Javier Arroyo; Ning Li;
doi: 10.1016/j.apenergy.2024.124328
doi: 10.1016/j.apenergy.2024.124328
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Applied Energy

Chemical looping gasification of high-moisture content biomass: The interactions between H2O and oxygen carrier

Multi-objective membrane search algorithm: A new solution for economic emission dispatch

Increasing bioelectricity generation in microbial fuel cells by a high-performance cellulose-based membrane electrode assembly

Short-term wind power prediction using a novel model based on butterfly optimization algorithm-variational mode decomposition-long short-term memory

Effect of clay on methane hydrate formation and dissociation in sediment: Implications for energy recovery from clayey-sandy hydrate reservoirs

A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control

Modeling and assessment of operation economic benefits for hydronic snow melting pavement system

Performance evaluation of semitransparent PV window systems employing periodic thermal model

A hybrid heuristic-reinforcement learning-based real-time control model for residential behind-the-meter PV-battery systems

Safe deep reinforcement learning for building energy management

Chemical looping gasification of high-moisture content biomass: The interactions between H2O and oxygen carrier

Multi-objective membrane search algorithm: A new solution for economic emission dispatch

Increasing bioelectricity generation in microbial fuel cells by a high-performance cellulose-based membrane electrode assembly

Short-term wind power prediction using a novel model based on butterfly optimization algorithm-variational mode decomposition-long short-term memory

Effect of clay on methane hydrate formation and dissociation in sediment: Implications for energy recovery from clayey-sandy hydrate reservoirs

A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control

Modeling and assessment of operation economic benefits for hydronic snow melting pavement system

Performance evaluation of semitransparent PV window systems employing periodic thermal model

A hybrid heuristic-reinforcement learning-based real-time control model for residential behind-the-meter PV-battery systems

Safe deep reinforcement learning for building energy management

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