Renewable Energy最新文献

英文中文

Sunlight driven Eu2O3/CoNiZn-LDH@g-C3N4 ternary heterojunction nanocomposite photocatalyst for hydrogen generation

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-03-21 DOI: 10.1016/j.renene.2025.122917

Madappa C. Maridevaru , Faisal Al Marzouqi , Munnelli Nagaveni , Murikinati Mamatha Kumari , Muthukonda Venkatakrishnan Shankar , Rengaraj Selvaraj

Photocatalytic H₂ generation is a prospective and ecologically suitable way of manufacturing green hydrogen (H₂). However, finding the best semiconducting substances with considerable performance is not easy. Inspired by this problem, we suggest in this work the use of a simple impregnation method for the customized sunlight-activated configurable broad-band gap semiconductor by coupling graphitic carbon nitride (CN) with Eu₂O₃/CoNiZn-LDH (LDH). Herein demonstrated the LDH loading on g-C₃N₄ surface impacted photocatalytic function by examining the hybrid ternary nanocomposites' microscopic, spectroscopic, and photophysical properties. Under sunlight, 60 wt% of Eu₂O₃/CoNiZn-LDH@g-C₃N₄ (60-LDHCN) nanocomposite exhibited highest rate of H₂ production (168.5 μmol h⁻¹g⁻¹_cat) explained by both density of catalytic active sites and intimate interface between different components of the catalyst facilitated effective separation/utilization of photogenerated electron-hole pairs. This correspondingly led to a 4.7-fold and 3.2-fold increase in H₂ generating efficiency of compared to CN (36.2 μmol h⁻¹g⁻¹_cat) and LDH (51.25 μmol h⁻¹g⁻¹_cat). Evidently, the photocurrent concentration of the 60-LDHCN nanocomposite depicted around 14.3 and 6.1 times better photocurrent than that of CN and LDH, respectively. The essential component of Type-II heterojunctions' immediate interaction between the semiconductors promoted charge separation and enhanced the number of surface-active sites through the absorption of sunlight.

{"title":"Sunlight driven Eu2O3/CoNiZn-LDH@g-C3N4 ternary heterojunction nanocomposite photocatalyst for hydrogen generation","authors":"Madappa C. Maridevaru , Faisal Al Marzouqi , Munnelli Nagaveni , Murikinati Mamatha Kumari , Muthukonda Venkatakrishnan Shankar , Rengaraj Selvaraj","doi":"10.1016/j.renene.2025.122917","DOIUrl":"10.1016/j.renene.2025.122917","url":null,"abstract":"<div><div>Photocatalytic H<sub>2</sub> generation is a prospective and ecologically suitable way of manufacturing green hydrogen (H<sub>2</sub>). However, finding the best semiconducting substances with considerable performance is not easy. Inspired by this problem, we suggest in this work the use of a simple impregnation method for the customized sunlight-activated configurable broad-band gap semiconductor by coupling graphitic carbon nitride (CN) with Eu<sub>2</sub>O<sub>3</sub>/CoNiZn-LDH (LDH). Herein demonstrated the LDH loading on g-C<sub>3</sub>N<sub>4</sub> surface impacted photocatalytic function by examining the hybrid ternary nanocomposites' microscopic, spectroscopic, and photophysical properties. Under sunlight, 60 wt% of Eu<sub>2</sub>O<sub>3</sub>/CoNiZn-LDH@g-C<sub>3</sub>N<sub>4</sub> (60-LDHCN) nanocomposite exhibited highest rate of H<sub>2</sub> production (168.5 μmol h<sup>−1</sup>g<sup>−1</sup><sub>cat</sub>) explained by both density of catalytic active sites and intimate interface between different components of the catalyst facilitated effective separation/utilization of photogenerated electron-hole pairs. This correspondingly led to a 4.7-fold and 3.2-fold increase in H<sub>2</sub> generating efficiency of compared to CN (36.2 μmol h<sup>−1</sup>g<sup>−1</sup><sub>cat</sub>) and LDH (51.25 μmol h<sup>−1</sup>g<sup>−1</sup><sub>cat</sub>). Evidently, the photocurrent concentration of the 60-LDHCN nanocomposite depicted around 14.3 and 6.1 times better photocurrent than that of CN and LDH, respectively. The essential component of Type-II heterojunctions' immediate interaction between the semiconductors promoted charge separation and enhanced the number of surface-active sites through the absorption of sunlight.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122917"},"PeriodicalIF":9.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy and exergy analysis of a photocatalytic Trombe wall based on visible-light photocatalytic purification

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-03-20 DOI: 10.1016/j.renene.2025.122942

Xuhui Cao , Wei Wei , Weikai Wang , Jie Ji , Bendong Yu , Niansi Li

Photocatalytic (PC) Trombe wall has the daul functions of air purification and space heating, which provide an sustainable solution on reduce building energy consumption. However, the narrow response band range of traditional PC material TiO₂ limits its application in buildings. This manuscript innovatively applies visible light (VIS) photocatalyst to Trombe wall to achieve indoor Volatile Organic Compounds (VOC) degradation in the range of VIS light (<760 nm). Firstly, a PC-Trombe wall experimental test system was built, and the thermal and formaldehyde purification performance were tested. Then, the thermal, mass transfer and formaldehyde removal coupling model of the wall was established and experimentally verified. More importantly, the performance evaluation method on composite wall-based exergy analysis both considering energy and purification aspects was established. The main results are as follows: (1) The thermal efficiency, purification efficiency of the wall on a sunny day were 0.29 and 0.53, respectively, while the results on a cloudy day were 0.26 and 0.48, respectively. (2) The thermal exergy efficiency of the system on a sunny and cloudy day was 0.008 and 0.005, respectively, and the purification exergy efficiency was 0.029 and 0.032, respectively. (3) The exergy destruction caused by the catalytic layer was the largest.

{"title":"Energy and exergy analysis of a photocatalytic Trombe wall based on visible-light photocatalytic purification","authors":"Xuhui Cao , Wei Wei , Weikai Wang , Jie Ji , Bendong Yu , Niansi Li","doi":"10.1016/j.renene.2025.122942","DOIUrl":"10.1016/j.renene.2025.122942","url":null,"abstract":"<div><div>Photocatalytic (PC) Trombe wall has the daul functions of air purification and space heating, which provide an sustainable solution on reduce building energy consumption. However, the narrow response band range of traditional PC material TiO<sub>2</sub> limits its application in buildings. This manuscript innovatively applies visible light (VIS) photocatalyst to Trombe wall to achieve indoor Volatile Organic Compounds (VOC) degradation in the range of VIS light (<760 nm). Firstly, a PC-Trombe wall experimental test system was built, and the thermal and formaldehyde purification performance were tested. Then, the thermal, mass transfer and formaldehyde removal coupling model of the wall was established and experimentally verified. More importantly, the performance evaluation method on composite wall-based exergy analysis both considering energy and purification aspects was established. The main results are as follows: (1) The thermal efficiency, purification efficiency of the wall on a sunny day were 0.29 and 0.53, respectively, while the results on a cloudy day were 0.26 and 0.48, respectively. (2) The thermal exergy efficiency of the system on a sunny and cloudy day was 0.008 and 0.005, respectively, and the purification exergy efficiency was 0.029 and 0.032, respectively. (3) The exergy destruction caused by the catalytic layer was the largest.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122942"},"PeriodicalIF":9.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An optimal dispatch model of renewable generation and pumped hydro energy storage for green hydrogen production

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-03-20 DOI: 10.1016/j.renene.2025.122939

Lizbeth Tipán-Salazar, Natalia Naval, Jose M. Yusta

The aim of the work is to propose an optimal dispatch model for a pumped hydro energy storage (PHES) system integrated with a photovoltaic plant, wind farm, and grid connection to meet weekly green hydrogen production demand through electrolysis while maximizing operating profit. A mixed-integer nonlinear programming (MINLP) model is formulated to optimize the technical and economic management of the proposed system. The model is applied to a project under development in Spain. The optimization model is solved using GAMS (General Algebraic Modeling System) software and the SCIP solver with a spatial branch-and-cut algorithm. The results from electricity market price scenarios for 2023 and 2030 show that the combined optimal operating model, RE-PHES-ELY, managed energy efficiently. Energy was imported at prices of up to 116 €/MWh when renewable energy was insufficient. Furthermore, exporting at prices of up to 151 €/MWh, maximizing profits during periods of high renewable generation. Pumping reached up to 454 MWh at 67 €/MWh, taking advantage of surplus renewable energy and low prices. Turbining reached up to 385 MWh at 173 €/MWh during periods of renewable shortages. Electrolyzers adjusted their demand to optimize production and profitability. In the 2030 scenario, the increased spread enhances the use of PHES by 117 %, thereby strengthening the economic viability of storage solutions.

{"title":"An optimal dispatch model of renewable generation and pumped hydro energy storage for green hydrogen production","authors":"Lizbeth Tipán-Salazar, Natalia Naval, Jose M. Yusta","doi":"10.1016/j.renene.2025.122939","DOIUrl":"10.1016/j.renene.2025.122939","url":null,"abstract":"<div><div>The aim of the work is to propose an optimal dispatch model for a pumped hydro energy storage (PHES) system integrated with a photovoltaic plant, wind farm, and grid connection to meet weekly green hydrogen production demand through electrolysis while maximizing operating profit. A mixed-integer nonlinear programming (MINLP) model is formulated to optimize the technical and economic management of the proposed system. The model is applied to a project under development in Spain. The optimization model is solved using GAMS (General Algebraic Modeling System) software and the SCIP solver with a spatial branch-and-cut algorithm. The results from electricity market price scenarios for 2023 and 2030 show that the combined optimal operating model, RE-PHES-ELY, managed energy efficiently. Energy was imported at prices of up to 116 €/MWh when renewable energy was insufficient. Furthermore, exporting at prices of up to 151 €/MWh, maximizing profits during periods of high renewable generation. Pumping reached up to 454 MWh at 67 €/MWh, taking advantage of surplus renewable energy and low prices. Turbining reached up to 385 MWh at 173 €/MWh during periods of renewable shortages. Electrolyzers adjusted their demand to optimize production and profitability. In the 2030 scenario, the increased spread enhances the use of PHES by 117 %, thereby strengthening the economic viability of storage solutions.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122939"},"PeriodicalIF":9.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of hydrogen bond acceptor with benzyl group in deep eutectic solvents on pretreatment performance of bamboo residue

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-03-20 DOI: 10.1016/j.renene.2025.122891

Zhaoming Liu , Yongzhi Fu , Shulin Gao , Haiyan Yang , Zhengjun Shi , Dawei Wang , Mizi Fan , Taohong Li , Jing Yang

Nine benzylammonium chloride-based deep eutectic solvents (DESs) were prepared and used to disrupt the natural recalcitrance of bamboo cell walls, to simultaneously produce fermentable sugars and lignin by-products. Under pretreatment conditions of 130 °C and 6 h, nearly 90 % of lignin was removed during the tributyl benzyl ammonium chloride/oxalic acid (TBBAC/OA) pretreatment of Dendrocalamus giganteus Munro bamboo (DG), accompanied by a satisfactory recovery of cellulose (∼84 %). The enzymatic digestibility of TBBAC/OA-DG released 83.72 % of fermentable sugars, which is about twice as high as tetrabutylammonium chloride/oxalic acid pretreated DG (TBAC/OA-DG) without benzyl groups as the hydrogen bond acceptor in the DES system. The structural characteristics of hydrogen bond acceptors (HBA) in DESs remarkably influenced the removal of lignin and xylan, which resulted in a loose structure after DES pretreatment, then increased the enzymatic accessibility of bamboo. Furthermore, the obtained regenerated lignin has a narrow molecular weight distribution and excellent solubility in organic solvents, which demonstrated potential industrial applications. These findings not only explain the relationship between HBA structure and bamboo fractionation, but also provide new insights for the selection and design of DES in biomass pretreatment.

{"title":"Effects of hydrogen bond acceptor with benzyl group in deep eutectic solvents on pretreatment performance of bamboo residue","authors":"Zhaoming Liu , Yongzhi Fu , Shulin Gao , Haiyan Yang , Zhengjun Shi , Dawei Wang , Mizi Fan , Taohong Li , Jing Yang","doi":"10.1016/j.renene.2025.122891","DOIUrl":"10.1016/j.renene.2025.122891","url":null,"abstract":"<div><div>Nine benzylammonium chloride-based deep eutectic solvents (DESs) were prepared and used to disrupt the natural recalcitrance of bamboo cell walls, to simultaneously produce fermentable sugars and lignin by-products. Under pretreatment conditions of 130 °C and 6 h, nearly 90 % of lignin was removed during the tributyl benzyl ammonium chloride/oxalic acid (TBBAC/OA) pretreatment of <em>Dendrocalamus giganteus Munro</em> bamboo (DG), accompanied by a satisfactory recovery of cellulose (∼84 %). The enzymatic digestibility of TBBAC/OA-DG released 83.72 % of fermentable sugars, which is about twice as high as tetrabutylammonium chloride/oxalic acid pretreated DG (TBAC/OA-DG) without benzyl groups as the hydrogen bond acceptor in the DES system. The structural characteristics of hydrogen bond acceptors (HBA) in DESs remarkably influenced the removal of lignin and xylan, which resulted in a loose structure after DES pretreatment, then increased the enzymatic accessibility of bamboo. Furthermore, the obtained regenerated lignin has a narrow molecular weight distribution and excellent solubility in organic solvents, which demonstrated potential industrial applications. These findings not only explain the relationship between HBA structure and bamboo fractionation, but also provide new insights for the selection and design of DES in biomass pretreatment.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122891"},"PeriodicalIF":9.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preparation and optimization of highly active Co3O4 catalyst for hydrogen generation from NaBH4 hydrolysis

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-03-20 DOI: 10.1016/j.renene.2025.122943

Qiaochu Zhou, Yiyang Wang, Zhe Zhang, Chi Zhang, Fang Li, Qiming Li

The oxidation state and phase structure of oxide catalysts play a crucial role in NaBH₄ hydrolysis. In this study, diverse Co₃O₄ catalysts were synthesized via the EDTA-citric acid complexing method and employed for hydrogen production from NaBH₄ hydrolysis. The impacts of different calcination temperatures on crystalline structure, microstructure, and catalytic performance of Co₃O₄ catalysts were examined systematically. It was observed that the calcination temperature cannot affect the crystal structure of Co₃O₄ catalysts, but it significantly influences their crystallinity, induction period and catalytic performance. The bulk crystallization of Co₃O₄ remained unaltered after reduction by NaBH₄, while its surface layer would transform into an amorphous phase, forming a core-shell structure. Moreover, the ratio of Co²⁺/Co³⁺ on the surface of the Co₃O₄ catalyst is substantially enhanced and more oxygen defects can be obtained through an in-situ reduction. The experimental results demonstrated that all Co₃O₄ catalysts exhibit an induction period before attaining a higher hydrogen generation rate. And the intrinsic catalytic activity of Co₃O₄ catalysts initially increases and then declines with the ascending calcination temperature, whereas their cyclic stability monotonically increases with calcination temperature. The Co₃O₄ catalyst achieves its highest catalytic activity at 1000 °C and the maximum cyclic stability at 1100 °C.

{"title":"Preparation and optimization of highly active Co3O4 catalyst for hydrogen generation from NaBH4 hydrolysis","authors":"Qiaochu Zhou, Yiyang Wang, Zhe Zhang, Chi Zhang, Fang Li, Qiming Li","doi":"10.1016/j.renene.2025.122943","DOIUrl":"10.1016/j.renene.2025.122943","url":null,"abstract":"<div><div>The oxidation state and phase structure of oxide catalysts play a crucial role in NaBH<sub>4</sub> hydrolysis. In this study, diverse Co<sub>3</sub>O<sub>4</sub> catalysts were synthesized via the EDTA-citric acid complexing method and employed for hydrogen production from NaBH<sub>4</sub> hydrolysis. The impacts of different calcination temperatures on crystalline structure, microstructure, and catalytic performance of Co<sub>3</sub>O<sub>4</sub> catalysts were examined systematically. It was observed that the calcination temperature cannot affect the crystal structure of Co<sub>3</sub>O<sub>4</sub> catalysts, but it significantly influences their crystallinity, induction period and catalytic performance. The bulk crystallization of Co<sub>3</sub>O<sub>4</sub> remained unaltered after reduction by NaBH<sub>4</sub>, while its surface layer would transform into an amorphous phase, forming a core-shell structure. Moreover, the ratio of Co<sup>2+</sup>/Co<sup>3+</sup> on the surface of the Co<sub>3</sub>O<sub>4</sub> catalyst is substantially enhanced and more oxygen defects can be obtained through an <em>in-situ</em> reduction. The experimental results demonstrated that all Co<sub>3</sub>O<sub>4</sub> catalysts exhibit an induction period before attaining a higher hydrogen generation rate. And the intrinsic catalytic activity of Co<sub>3</sub>O<sub>4</sub> catalysts initially increases and then declines with the ascending calcination temperature, whereas their cyclic stability monotonically increases with calcination temperature. The Co<sub>3</sub>O<sub>4</sub> catalyst achieves its highest catalytic activity at 1000 °C and the maximum cyclic stability at 1100 °C.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122943"},"PeriodicalIF":9.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on the combustion and emission characteristics of a compression ignition engine using diesel/ethanol blend with carbon nanoadditives

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-03-20 DOI: 10.1016/j.renene.2025.122941

Jinyang Li , Jiangjun Wei , Hao Chen , Yao Xu , Ye Liu , Qian Dai

This article focuses on the effects of adding different types (graphene oxides, multi-layered graphene oxides, multi-walled carbon nanotubes) and dosages (25 ppm, 100 ppm) of renewable carbon nanoparticles to the diesel/ethanol blend towards the combustion and emission characteristics of a compression-ignition engine. The research showed that a shortened ignition delay was brought about due to the presence of carbon nanoparticles, with the most pronounced effect achieved by multi-walled carbon nanotubes. Regarding in-cylinder combustion, the inclusion of carbon nanoparticles induced an enhancement to the combustion progress, associated with increments in peak cylinder gas pressure and peak heat release rate and a decrement in combustion duration, most notably accomplished by graphene oxides. Moreover, the engine exhibits lower fuel consumption and better fuel utilization based on the carbon nanoparticles addition, where the nano-fuels with graphene oxides possess the minimum brake specific fuel consumption and maximum brake thermal efficiency. Concerning the abatement effect, by applying carbon nanoparticles, emissions of CO, HC and soot were decreased by 37.95 %, 45.18 % and 47.83 %, respectively, however, a slight increase in NOx emissions also occurred. In particular, multi-walled carbon nanotubes offered the most significant mitigations in CO and HC, while graphene oxides achieved the greatest abatement in soot emissions.

{"title":"Study on the combustion and emission characteristics of a compression ignition engine using diesel/ethanol blend with carbon nanoadditives","authors":"Jinyang Li , Jiangjun Wei , Hao Chen , Yao Xu , Ye Liu , Qian Dai","doi":"10.1016/j.renene.2025.122941","DOIUrl":"10.1016/j.renene.2025.122941","url":null,"abstract":"<div><div>This article focuses on the effects of adding different types (graphene oxides, multi-layered graphene oxides, multi-walled carbon nanotubes) and dosages (25 ppm, 100 ppm) of renewable carbon nanoparticles to the diesel/ethanol blend towards the combustion and emission characteristics of a compression-ignition engine. The research showed that a shortened ignition delay was brought about due to the presence of carbon nanoparticles, with the most pronounced effect achieved by multi-walled carbon nanotubes. Regarding in-cylinder combustion, the inclusion of carbon nanoparticles induced an enhancement to the combustion progress, associated with increments in peak cylinder gas pressure and peak heat release rate and a decrement in combustion duration, most notably accomplished by graphene oxides. Moreover, the engine exhibits lower fuel consumption and better fuel utilization based on the carbon nanoparticles addition, where the nano-fuels with graphene oxides possess the minimum brake specific fuel consumption and maximum brake thermal efficiency. Concerning the abatement effect, by applying carbon nanoparticles, emissions of CO, HC and soot were decreased by 37.95 %, 45.18 % and 47.83 %, respectively, however, a slight increase in NOx emissions also occurred. In particular, multi-walled carbon nanotubes offered the most significant mitigations in CO and HC, while graphene oxides achieved the greatest abatement in soot emissions.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122941"},"PeriodicalIF":9.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive optimization of wave energy conversion in oscillatory wave surge converters via SPH simulation and deep reinforcement learning

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-03-20 DOI: 10.1016/j.renene.2025.122887

Mai Ye , Chi Zhang , Yaru Ren , Ziyuan Liu , Oskar J. Haidn , Xiangyu Hu

The nonlinear damping characteristics of the oscillating wave surge converter (OWSC) significantly impact the performance of the power take-off system. This study presents a framework by integrating deep reinforcement learning (DRL) with numerical simulations of OWSC to identify optimal adaptive damping policy under varying wave conditions, thereby enhancing wave energy harvesting efficiency. The open-source multiphysics library SPHinXsys establishes the numerical environment for wave interaction with OWSCs. Subsequently, a comparative analysis of three DRL algorithms is conducted using the two-dimensional (2D) numerical study of OWSC interacting with regular waves. The results reveal that artificial neural networks capture the nonlinear characteristics of wave–structure interactions and provide efficient PTO policies. Notably, the soft actor–critic algorithm demonstrates exceptional robustness and accuracy, achieving a 10.61% improvement in wave energy harvesting. Furthermore, policies trained in a 2D environment are successfully applied to the three-dimensional study, with an improvement of 22.54% in energy harvesting. The optimization effect becomes more significant with longer wave periods under regular waves with consistent wave height. Additionally, the study shows that energy harvesting is improved by 6.42% for complex irregular waves. However, for the complex dual OWSC system, optimizing the damping characteristics alone is insufficient to enhance energy harvesting.

{"title":"Adaptive optimization of wave energy conversion in oscillatory wave surge converters via SPH simulation and deep reinforcement learning","authors":"Mai Ye , Chi Zhang , Yaru Ren , Ziyuan Liu , Oskar J. Haidn , Xiangyu Hu","doi":"10.1016/j.renene.2025.122887","DOIUrl":"10.1016/j.renene.2025.122887","url":null,"abstract":"<div><div>The nonlinear damping characteristics of the oscillating wave surge converter (OWSC) significantly impact the performance of the power take-off system. This study presents a framework by integrating deep reinforcement learning (DRL) with numerical simulations of OWSC to identify optimal adaptive damping policy under varying wave conditions, thereby enhancing wave energy harvesting efficiency. The open-source multiphysics library SPHinXsys establishes the numerical environment for wave interaction with OWSCs. Subsequently, a comparative analysis of three DRL algorithms is conducted using the two-dimensional (2D) numerical study of OWSC interacting with regular waves. The results reveal that artificial neural networks capture the nonlinear characteristics of wave–structure interactions and provide efficient PTO policies. Notably, the soft actor–critic algorithm demonstrates exceptional robustness and accuracy, achieving a 10.61% improvement in wave energy harvesting. Furthermore, policies trained in a 2D environment are successfully applied to the three-dimensional study, with an improvement of 22.54% in energy harvesting. The optimization effect becomes more significant with longer wave periods under regular waves with consistent wave height. Additionally, the study shows that energy harvesting is improved by 6.42% for complex irregular waves. However, for the complex dual OWSC system, optimizing the damping characteristics alone is insufficient to enhance energy harvesting.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122887"},"PeriodicalIF":9.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A hybrid-driven control strategy for optimized wind farm power dispatch

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-03-20 DOI: 10.1016/j.renene.2025.122940

Luobin Wang , Sheng Huang , Guan Bai , Pengda Wang , Ji Zhang

This paper proposes a hybrid-driven active power control strategy for large-scale wind farm (WF) that integrates data-driven and model-driven approaches to optimize power dispatch while reducing fatigue loads and enhancing noise resistance. The strategy employs an encoder-decoder framework in which the encoder, based on a Mixture of Experts (MoE) and Bidirectional Gated Recurrent Unit (BiGRU), captures temporal dependencies from WF time series data, and the decoder, using Graph Attention Networks (GAT), models wind turbine (WT) coupling without explicit mathematical formulations. A Deep Neural Network (DNN) adaptively fuses outputs from the data-driven and Model Predictive Control (MPC)-based strategies, delivering the best overall performance. MATLAB simulations on a WF with 32 × 5 MW WTs show that the proposed method reduces the standard deviation (SD) of shaft torque and thrust force by 21.59 % and 25.64 %, respectively, demonstrating the significant improvements of the proposed method in fatigue load reduction.

引用次数: 0

Solar energy-powered wireless charging system for three-wheeled e-scooter applications

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-03-19 DOI: 10.1016/j.renene.2025.122933

Mehmet Zahid Erel , Mehmet Akif Özdemir , Mehmet Timur Aydemir

Wireless power transfer (WPT) is a remarkable charging technology that addresses the range limitations and complexity of light electric vehicles. This study presents a novel approach to a solar-powered WPT system designed for three-wheeled e-scooter applications. The proposed system offers compact, lightweight, and cost-effective solution with a ferrite-less structure and a series-series (SS) compensation topology, resulting in enhanced system efficiency and adaptability. The compact and efficient converters are designed to enhance performance and reduce system size. A Proportional-Integral (PI) controlled Perturb and Observe (P&O) maximum power point tracking (MPPT) method is implemented to optimize energy extraction from three solar panels. The design is validated through comprehensive simulations and demonstrates a superior dynamic response over the Incremental Conductance MPPT (ICM) method. Performance tests confirm the reliability of the experimental prototype, achieving a system efficiency of 88.5 % at 300-W output power over a 100 mm transfer distance under fully aligned condition. Comparative analyses with existing solar-powered e-cycle systems highlight the proposed design's superiority in efficiency, cost-effectiveness, and adherence to safety standards. The results indicate that the proposed design enhances sustainable urban transportation by reducing carbon emissions and decreasing reliance on fossil fuels, facilitating the wider integration of renewable energy sources.

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引用次数: 0

High proportion of biofuel replacement for conventional diesel using safflower biodiesel and diethyl ether blends in a CNG-powered RCCI operation of a diesel engine

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-03-19 DOI: 10.1016/j.renene.2025.122919

Ali İhsan Ülgen , Yahya Çelebi , Hüseyin Aydın

Reactivity-controlled compression ignition operation was used for this experimental work. In the study, biodiesel derived from safflower was blended with diethyl ether at concentrations of 5 %, 10 %, and 15 % and utilized as the primary fuel while compressed natural gas was used as the low-reactivity fuel, injected inside the intake manifold with a substitution rate of 50 %. The study focused on the influence of high-percentage biofuel on compressed natural gas-powered reactivity-controlled compression ignition operation. The engine was held under the same engine speed of 1500 rpm and the engine load of 7.2 kW. The test results obtained from the experiments showed an increase in brake thermal efficiency, brake specific fuel consumption, and brake specific energy consumption, while exhaust gas temperature was decreased. There was an average reduction of 61.36 % and 20.7 % in nitrogen oxides and carbon dioxide, respectively. On contrary, a remarkable increase was observed in carbon oxide by 22.9 % and hydrocarbons emissions by 33.1 % on average compared to petrodiesel with exception for the blend of biodiesel with high content of diethyl ether which showed a significant reduction of 83.3 % on hydrocarbons. The combustion parameters for alternate fuel modes quite similar to diesel fuel combustion.

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