Renewable Energy最新文献_第2页

Optimisation of heterogeneous wave energy converter arrays: A control co-design strategy

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-02-14 DOI: 10.1016/j.renene.2025.122637

Andrei M. Ermakov , Zain Anwar Ali , Kumars Mahmoodi , Oliver Mason , John V. Ringwood

The commercial development and deployment of wave energy converters (WECs) will require arranging these devices in groups known as ‘arrays’, similar to the deployment other large-scale renewable energy systems, such as wind farms, or tidal arrays. This study explores a novel control co-design (CCD) strategy for heterogeneous arrays of point absorber-type WECs, focusing on the simultaneous optimisation of buoy hull geometry and array layout to harness multi-directional wind and swell wave energy. The WEC array operates under a newly developed global centralised control algorithm, which supports displacement constraints, but allows for the assessment of array performance in the frequency domain. This approach has the potential to significantly speed up the numerical solution of the control co-design optimisation problem, compared to more traditional time-domain-based methods. The array optimisation problem is solved using a global optimisation method. The performance function aims to optimise the positive network effect of interactions between devices in the array, while simultaneously considering cost issues, quantified by device sizes. The investigation identifies optimal device geometry and array layouts for clusters of three, four, and five WECs, in two different wave climates: Irish and Portuguese coasts, allowing the sensitivity of optimal solutions to different wave climates to be studied.

{"title":"Optimisation of heterogeneous wave energy converter arrays: A control co-design strategy","authors":"Andrei M. Ermakov , Zain Anwar Ali , Kumars Mahmoodi , Oliver Mason , John V. Ringwood","doi":"10.1016/j.renene.2025.122637","DOIUrl":"10.1016/j.renene.2025.122637","url":null,"abstract":"<div><div>The commercial development and deployment of wave energy converters (WECs) will require arranging these devices in groups known as ‘arrays’, similar to the deployment other large-scale renewable energy systems, such as wind farms, or tidal arrays. This study explores a novel control co-design (CCD) strategy for heterogeneous arrays of point absorber-type WECs, focusing on the simultaneous optimisation of buoy hull geometry and array layout to harness multi-directional wind and swell wave energy. The WEC array operates under a newly developed global centralised control algorithm, which supports displacement constraints, but allows for the assessment of array performance in the frequency domain. This approach has the potential to significantly speed up the numerical solution of the control co-design optimisation problem, compared to more traditional time-domain-based methods. The array optimisation problem is solved using a global optimisation method. The performance function aims to optimise the positive network effect of interactions between devices in the array, while simultaneously considering cost issues, quantified by device sizes. The investigation identifies optimal device geometry and array layouts for clusters of three, four, and five WECs, in two different wave climates: Irish and Portuguese coasts, allowing the sensitivity of optimal solutions to different wave climates to be studied.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122637"},"PeriodicalIF":9.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422392","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

Energy scheduling for integrated electricity–hydrogen systems considering multiphysics dynamics of hybrid water and biomass electrolysis

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-02-14 DOI: 10.1016/j.renene.2025.122635

Lu Han , Jiming Chen , Aikang Chen , Xianhui Gao , Sheng Wang , Junyi Zhai

This paper focuses on the coordinated scheduling problem of integrated electricity–hydrogen systems (IEHS) considering the multiphysics dynamic characteristics of hybrid water and biomass electrolysis. First, a multiphysics-aware hydrogen production model for hybrid water and biomass electrolysis, suitable for the day-ahead or intra-day energy scheduling of IEHS, is presented. The dynamic multiphysics model for alkaline water electrolysis can take advantage of dynamic temperature and hydrogen-to-oxygen impurity crossover processes to optimize the loading range and energy conversion efficiency. The electrochemical model for proton exchange membrane biomass electrolysis can capture operating efficiency and temperature variations to improve the flexibility of hydrogen production. Then, the quasi-steady-state energy scheduling model for IEHS considering the multiphysics dynamics of hybrid water and biomass electrolysis is proposed. A tractable reformulation with multiple convex relaxation techniques, e.g., McCormick envelope, Big-M, outer linear approximation, and binary expansion methods, are utilized to address the highly nonlinear and nonconvex terms arising from the multiphysics-aware electrolysis model and the nonconvex flow quasi-steady-state characteristics of hydrogen network. Numerical results illustrate that the proposed multiphysics-aware electrolysis model can reduce the operating cost by up to 5.74% compared to the constant temperature and constant efficiency model. The solution time is also significantly reduced with a high solution accuracy compared to the original nonconvex and nonlinear model.

{"title":"Energy scheduling for integrated electricity–hydrogen systems considering multiphysics dynamics of hybrid water and biomass electrolysis","authors":"Lu Han , Jiming Chen , Aikang Chen , Xianhui Gao , Sheng Wang , Junyi Zhai","doi":"10.1016/j.renene.2025.122635","DOIUrl":"10.1016/j.renene.2025.122635","url":null,"abstract":"<div><div>This paper focuses on the coordinated scheduling problem of integrated electricity–hydrogen systems (IEHS) considering the multiphysics dynamic characteristics of hybrid water and biomass electrolysis. First, a multiphysics-aware hydrogen production model for hybrid water and biomass electrolysis, suitable for the day-ahead or intra-day energy scheduling of IEHS, is presented. The dynamic multiphysics model for alkaline water electrolysis can take advantage of dynamic temperature and hydrogen-to-oxygen impurity crossover processes to optimize the loading range and energy conversion efficiency. The electrochemical model for proton exchange membrane biomass electrolysis can capture operating efficiency and temperature variations to improve the flexibility of hydrogen production. Then, the quasi-steady-state energy scheduling model for IEHS considering the multiphysics dynamics of hybrid water and biomass electrolysis is proposed. A tractable reformulation with multiple convex relaxation techniques, e.g., McCormick envelope, Big-M, outer linear approximation, and binary expansion methods, are utilized to address the highly nonlinear and nonconvex terms arising from the multiphysics-aware electrolysis model and the nonconvex flow quasi-steady-state characteristics of hydrogen network. Numerical results illustrate that the proposed multiphysics-aware electrolysis model can reduce the operating cost by up to 5.74% compared to the constant temperature and constant efficiency model. The solution time is also significantly reduced with a high solution accuracy compared to the original nonconvex and nonlinear model.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122635"},"PeriodicalIF":9.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422301","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

Wind farm cooperative control under unsteady inflow conditions considering dynamic wake interactions

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-02-13 DOI: 10.1016/j.renene.2025.122654

Shanghui Yang , Xiaowei Deng , Feng Dai , Kun Yang , Qiulei Wang , Zhikun Dong

Overlooking wake dynamics undermines the real-time control performance of wind farms. This paper proposes a novel dynamic wind farm control framework that integrates a mid-fidelity dynamic wake model, the FLORIDyn model, with surrogate model optimization, the DYCORS algorithm, to achieve optimal coordinated control settings within the yaw update interval accurately and efficiently. The framework is tested in a 6-turbine wind farm exposed to time-varying inflow conditions over 2400 s, with the conventional steady framework as the comparison. Additionally, parametric studies on yaw update interval and wind variability are conducted to explore the applicability of the dynamic framework under different inflow and operation conditions. Results indicate that achieving the anticipated power output of the steady wind farm control framework is challenging in a realistic wind farm setting. The proposed dynamic wind farm control framework enhances the power benefits of wake redirection compared to the steady framework, achieving a 2.22 % increase in power gains. The dynamic optimal control is more sensitive to yaw update interval variations than the greedy control. A smaller Hurst exponent, indicating increased stationarity of the inflow condition, reduces the power disparities between steady and dynamic control optimizations. Directional variability imposes a more distinct impact on control benefits than speed variability.

{"title":"Wind farm cooperative control under unsteady inflow conditions considering dynamic wake interactions","authors":"Shanghui Yang , Xiaowei Deng , Feng Dai , Kun Yang , Qiulei Wang , Zhikun Dong","doi":"10.1016/j.renene.2025.122654","DOIUrl":"10.1016/j.renene.2025.122654","url":null,"abstract":"<div><div>Overlooking wake dynamics undermines the real-time control performance of wind farms. This paper proposes a novel dynamic wind farm control framework that integrates a mid-fidelity dynamic wake model, the FLORIDyn model, with surrogate model optimization, the DYCORS algorithm, to achieve optimal coordinated control settings within the yaw update interval accurately and efficiently. The framework is tested in a 6-turbine wind farm exposed to time-varying inflow conditions over 2400 s, with the conventional steady framework as the comparison. Additionally, parametric studies on yaw update interval and wind variability are conducted to explore the applicability of the dynamic framework under different inflow and operation conditions. Results indicate that achieving the anticipated power output of the steady wind farm control framework is challenging in a realistic wind farm setting. The proposed dynamic wind farm control framework enhances the power benefits of wake redirection compared to the steady framework, achieving a 2.22 % increase in power gains. The dynamic optimal control is more sensitive to yaw update interval variations than the greedy control. A smaller Hurst exponent, indicating increased stationarity of the inflow condition, reduces the power disparities between steady and dynamic control optimizations. Directional variability imposes a more distinct impact on control benefits than speed variability.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122654"},"PeriodicalIF":9.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428045","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

Effect of pretreatment biomass by gas from polyvinyl chloride dehydrochlorination process on maize cob pyrolysis with integrated CO2 capture

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-02-13 DOI: 10.1016/j.renene.2025.122666

Wojciech Jerzak, Izabela Kalemba-Rec, Aneta Magdziarz

This study investigates the effects of pretreatment of maize cob with hydrogen chloride gas obtained from polyvinyl chloride dehydrochlorination on pyrolysis yields and integrated CO₂ capture. The dehydrochlorination process was conducted at 320 °C, while the pyrolysis of the pretreated biomass was performed at 500 °C. Pretreatment significantly altered composition of biomass, reducing hemicellulose from 34.3 % to 3.7 %, increasing fixed carbon from 15.8 % to 20.3 %, and increasing the chlorine content from 0.27 % to 1.48 %. These changes influenced on the thermal decomposition characteristics of maize cob. During fast pyrolysis, the bio–oil yield increased by 17 %, from 32.9 % to 38.4 %, while gas production decreased from 38.7 % to 30.3 %, indicating a shift towards liquid biofuel production. Integration of calcium hydroxide in the pyrolysis reactor reduced CO₂ emissions by 87 %, from 56.5 % to 7.5 %, and captured chlorine from the pyrolysis gases, minimising harmful residues. Additionally, the use of calcium hydroxide facilitated the generation of hydrogen, increasing its content to 44.7 % in the gas phase. The bio–oil produced contained 0.8 % chlorine, demonstrating the effectiveness of in–situ chlorine capture. This approach, utilising hydrogen chloride derived from polyvinyl chloride waste, not only reduces environmental impact but also enhances the efficiency and sustainability of bio–oil production.

{"title":"Effect of pretreatment biomass by gas from polyvinyl chloride dehydrochlorination process on maize cob pyrolysis with integrated CO2 capture","authors":"Wojciech Jerzak, Izabela Kalemba-Rec, Aneta Magdziarz","doi":"10.1016/j.renene.2025.122666","DOIUrl":"10.1016/j.renene.2025.122666","url":null,"abstract":"<div><div>This study investigates the effects of pretreatment of maize cob with hydrogen chloride gas obtained from polyvinyl chloride dehydrochlorination on pyrolysis yields and integrated CO₂ capture. The dehydrochlorination process was conducted at 320 °C, while the pyrolysis of the pretreated biomass was performed at 500 °C. Pretreatment significantly altered composition of biomass, reducing hemicellulose from 34.3 % to 3.7 %, increasing fixed carbon from 15.8 % to 20.3 %, and increasing the chlorine content from 0.27 % to 1.48 %. These changes influenced on the thermal decomposition characteristics of maize cob. During fast pyrolysis, the bio–oil yield increased by 17 %, from 32.9 % to 38.4 %, while gas production decreased from 38.7 % to 30.3 %, indicating a shift towards liquid biofuel production. Integration of calcium hydroxide in the pyrolysis reactor reduced CO₂ emissions by 87 %, from 56.5 % to 7.5 %, and captured chlorine from the pyrolysis gases, minimising harmful residues. Additionally, the use of calcium hydroxide facilitated the generation of hydrogen, increasing its content to 44.7 % in the gas phase. The bio–oil produced contained 0.8 % chlorine, demonstrating the effectiveness of in–situ chlorine capture. This approach, utilising hydrogen chloride derived from polyvinyl chloride waste, not only reduces environmental impact but also enhances the efficiency and sustainability of bio–oil production.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122666"},"PeriodicalIF":9.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422286","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

Policy support and technology development trajectory for renewable natural gas in the U.S.

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-02-13 DOI: 10.1016/j.renene.2025.122669

Alvina Aui , Yu Wang

Renewable natural gas (RNG) is a clean alternative to fossil natural gas, which can be used as transportation fuel, among other applications. This study projects the development trajectory of RNG and evaluates its impacts on the future U.S. transportation market using a hybrid computable general equilibrium model. This analysis considers various factors and uncertainties affecting RNG production, such as technology development, market conditions, competition with other advanced biofuels, and national and state policies. In 2050, RNG production will grow to 2.7 billion gallons (10 billion liters), mostly from swine manure, under current policy provisions. This will lead to a reduction in greenhouse gas (GHG) emissions by 58.56 million metric tonne of CO_2e in 2050. Analysis of different technology cases finds RNG from animal manure to be predominant, while RNG from corn stover and cellulosic ethanol are less competitive. A high mandatory target of 1 billion gallons will drive RNG production higher by 8–18 %, while an extended 2^nd-generation biofuel production tax credit will mostly increase cellulosic ethanol production. The model also finds RNG production being affected by uncertainties in market conditions, such as GDP growth, fossil fuel prices, and oil and gas supply.

{"title":"Policy support and technology development trajectory for renewable natural gas in the U.S.","authors":"Alvina Aui , Yu Wang","doi":"10.1016/j.renene.2025.122669","DOIUrl":"10.1016/j.renene.2025.122669","url":null,"abstract":"<div><div>Renewable natural gas (RNG) is a clean alternative to fossil natural gas, which can be used as transportation fuel, among other applications. This study projects the development trajectory of RNG and evaluates its impacts on the future U.S. transportation market using a hybrid computable general equilibrium model. This analysis considers various factors and uncertainties affecting RNG production, such as technology development, market conditions, competition with other advanced biofuels, and national and state policies. In 2050, RNG production will grow to 2.7 billion gallons (10 billion liters), mostly from swine manure, under current policy provisions. This will lead to a reduction in greenhouse gas (GHG) emissions by 58.56 million metric tonne of CO<sub>2e</sub> in 2050. Analysis of different technology cases finds RNG from animal manure to be predominant, while RNG from corn stover and cellulosic ethanol are less competitive. A high mandatory target of 1 billion gallons will drive RNG production higher by 8–18 %, while an extended 2<sup>nd</sup>-generation biofuel production tax credit will mostly increase cellulosic ethanol production. The model also finds RNG production being affected by uncertainties in market conditions, such as GDP growth, fossil fuel prices, and oil and gas supply.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122669"},"PeriodicalIF":9.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436873","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

A point-interval wind speed prediction model based on entropy clustering and hybrid optimization weighted strategy

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-02-13 DOI: 10.1016/j.renene.2025.122653

Jujie Wang, Shuqin Shu, Shulian Xu

Wind speed prediction is crucial for effective energy management, power dispatching, and optimizing wind energy conversion systems. However, its inherent randomness and instability pose significant challenges. This paper introduces a wind speed prediction method that enhances accuracy through entropy clustering and a hybrid optimization weighted strategy. Firstly, the training set is decomposed and reconstituted into multiple feature subsequences by the improved complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN). Secondly, the internal relationship between the training set and these subsequences is constructed through the gated recurrent unit (GRU). To prevent information leakage, this relationship is mapped to the testing set. Based on the characteristics of each subsequence, the optimal prediction model is selected. Finally, chaos game optimization (CGO) is used to weighted integrate the prediction results of each model to obtain the final point and interval prediction results. The proposed method is evaluated using data from six Chinese wind farms located in diverse geographical areas. Compared with other models, the mean squared error (MSE) of the proposed method on the six datasets is 0.882 m/s, 0.507 m/s, 0.174 m/s, 0.197 m/s, 0.362 m/s and 0.322 m/s, respectively. This fully proves its effectiveness and broad application prospects.

{"title":"A point-interval wind speed prediction model based on entropy clustering and hybrid optimization weighted strategy","authors":"Jujie Wang, Shuqin Shu, Shulian Xu","doi":"10.1016/j.renene.2025.122653","DOIUrl":"10.1016/j.renene.2025.122653","url":null,"abstract":"<div><div>Wind speed prediction is crucial for effective energy management, power dispatching, and optimizing wind energy conversion systems. However, its inherent randomness and instability pose significant challenges. This paper introduces a wind speed prediction method that enhances accuracy through entropy clustering and a hybrid optimization weighted strategy. Firstly, the training set is decomposed and reconstituted into multiple feature subsequences by the improved complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN). Secondly, the internal relationship between the training set and these subsequences is constructed through the gated recurrent unit (GRU). To prevent information leakage, this relationship is mapped to the testing set. Based on the characteristics of each subsequence, the optimal prediction model is selected. Finally, chaos game optimization (CGO) is used to weighted integrate the prediction results of each model to obtain the final point and interval prediction results. The proposed method is evaluated using data from six Chinese wind farms located in diverse geographical areas. Compared with other models, the mean squared error (MSE) of the proposed method on the six datasets is 0.882 m/s, 0.507 m/s, 0.174 m/s, 0.197 m/s, 0.362 m/s and 0.322 m/s, respectively. This fully proves its effectiveness and broad application prospects.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122653"},"PeriodicalIF":9.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422302","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

Effect of intermittent operation on the thermal performance of a solar seasonal thermal storage heating system in a cold-region tunnel

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-02-13 DOI: 10.1016/j.renene.2025.122667

Yao Zhang , Caichu Xia , Shuwei Zhou , Kangwen Xu , Shanpeng Cao , Wenbo Peng , Jianxin Zhang

The efficiency of tunnel heat exchangers often diminishes annually due to thermal imbalances, particularly in heating-dominated cold regions. For addressing frost damage in the entrance sections of cold-region tunnels, a novel and cost-effective solution: the Seasonal Solar Thermal Storage Heating (SSTSH) system, is proposed and applied in Tianshan Victory Tunnel in Xinjiang, China. Effect of intermittent operation on the thermal performance of the SSTSH system in Tianshan Victory Tunnel is investigated. Initially, field experiments are conducted to test the separate operation of thermal storage and extraction. Subsequently, a transient 3D numerical model is developed and validated by using experimental data to investigate the thermal performance of mixed operation modes under varying intermittent thermal storage ratios. Field experiment results reveal that increased intermittent operating time significantly enhances the single thermal storage and extraction performance of the SSTSH system, thereby improving operational efficiency. Simulations demonstrate that in the SSTSH system, higher intermittent thermal storage ratios lead to improved coefficients of performance (COP) and average thermal extraction during thermal extraction. After 12 h of thermal extraction during the 48h trial period, intermittent thermal storage ratios of 1/3, 1, and 3 yield respective increases in extracted heat by 25.88 %, 39.26 %, and 48.28 % compared with continuous thermal extraction operations. Moreover, intermittent thermal storage operations result in lower surrounding rock temperature drops and longer recovery periods, further enhancing system efficiency. Employing the intermittent operation strategy in the SSTSH system presents a promising solution to mitigate the thermal imbalance of ground source heat pumps, thereby facilitating their application in cold-region tunnels.

{"title":"Effect of intermittent operation on the thermal performance of a solar seasonal thermal storage heating system in a cold-region tunnel","authors":"Yao Zhang , Caichu Xia , Shuwei Zhou , Kangwen Xu , Shanpeng Cao , Wenbo Peng , Jianxin Zhang","doi":"10.1016/j.renene.2025.122667","DOIUrl":"10.1016/j.renene.2025.122667","url":null,"abstract":"<div><div>The efficiency of tunnel heat exchangers often diminishes annually due to thermal imbalances, particularly in heating-dominated cold regions. For addressing frost damage in the entrance sections of cold-region tunnels, a novel and cost-effective solution: the Seasonal Solar Thermal Storage Heating (SSTSH) system, is proposed and applied in Tianshan Victory Tunnel in Xinjiang, China. Effect of intermittent operation on the thermal performance of the SSTSH system in Tianshan Victory Tunnel is investigated. Initially, field experiments are conducted to test the separate operation of thermal storage and extraction. Subsequently, a transient 3D numerical model is developed and validated by using experimental data to investigate the thermal performance of mixed operation modes under varying intermittent thermal storage ratios. Field experiment results reveal that increased intermittent operating time significantly enhances the single thermal storage and extraction performance of the SSTSH system, thereby improving operational efficiency. Simulations demonstrate that in the SSTSH system, higher intermittent thermal storage ratios lead to improved coefficients of performance (COP) and average thermal extraction during thermal extraction. After 12 h of thermal extraction during the 48h trial period, intermittent thermal storage ratios of 1/3, 1, and 3 yield respective increases in extracted heat by 25.88 %, 39.26 %, and 48.28 % compared with continuous thermal extraction operations. Moreover, intermittent thermal storage operations result in lower surrounding rock temperature drops and longer recovery periods, further enhancing system efficiency. Employing the intermittent operation strategy in the SSTSH system presents a promising solution to mitigate the thermal imbalance of ground source heat pumps, thereby facilitating their application in cold-region tunnels.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122667"},"PeriodicalIF":9.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436834","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

Ni/N co-doped NH2-MIL-88(Fe) derived porous carbon as an efficient electrocatalyst for methanol and water co-electrolysis

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-02-13 DOI: 10.1016/j.renene.2025.122661

Jingchuan Guo , Yan Gao , Xuankai Cao , Linxuan Li , Xin Yu , Shidan Chi , Haoyu Liu , Guohong Tian , Xudong Zhao

The technology of using electricity generated from renewable energy sources such as wind and solar power for water electrolysis to produce hydrogen has achieved high efficiency, high purity, and environmental friendliness. However, its further development is constrained by the high overpotential of the oxygen evolution reaction (OER) and the high cost of precious metal catalysts. The methanol oxidation reaction (MOR) as an alternative to OER can significantly reduce overall energy consumption and accelerate the hydrogen evolution reaction. This study innovatively utilizes the metal-organic framework (MOF) of NH₂-MIL-88(Fe) to introduce Ni doping, preparing a series of Fe_xNi_y-MOF and their bimetallic carbon derivatives (Fe_xNi_y/C) through solvothermal synthesis and high-temperature carbonization. Results show that FeNi₂/C exhibited excellent performance in OER, with a Tafel slope of 38.69 mV·dec⁻¹ and an overpotential of 335 mV at 10 mA cm⁻², comparable to RuO₂. In MOR, the overpotential was 193 mV, reduced by approximately 140 mV compared to OER, with outstanding stability. The catalytic mechanism was analyzed using ion chromatography, revealing the key role of Ni doping in enhancing catalytic activity and stability. This study provides new strategies for improving the electrocatalytic hydrogen production efficiency of renewable energy and reducing the production cost of hydrogen energy.

{"title":"Ni/N co-doped NH2-MIL-88(Fe) derived porous carbon as an efficient electrocatalyst for methanol and water co-electrolysis","authors":"Jingchuan Guo , Yan Gao , Xuankai Cao , Linxuan Li , Xin Yu , Shidan Chi , Haoyu Liu , Guohong Tian , Xudong Zhao","doi":"10.1016/j.renene.2025.122661","DOIUrl":"10.1016/j.renene.2025.122661","url":null,"abstract":"<div><div>The technology of using electricity generated from renewable energy sources such as wind and solar power for water electrolysis to produce hydrogen has achieved high efficiency, high purity, and environmental friendliness. However, its further development is constrained by the high overpotential of the oxygen evolution reaction (OER) and the high cost of precious metal catalysts. The methanol oxidation reaction (MOR) as an alternative to OER can significantly reduce overall energy consumption and accelerate the hydrogen evolution reaction. This study innovatively utilizes the metal-organic framework (MOF) of NH₂-MIL-88(Fe) to introduce Ni doping, preparing a series of Fe<sub>x</sub>Ni<sub>y</sub>-MOF and their bimetallic carbon derivatives (Fe<sub>x</sub>Ni<sub>y</sub>/C) through solvothermal synthesis and high-temperature carbonization. Results show that FeNi₂/C exhibited excellent performance in OER, with a Tafel slope of 38.69 mV·dec⁻<sup>1</sup> and an overpotential of 335 mV at 10 mA cm⁻<sup>2</sup>, comparable to RuO₂. In MOR, the overpotential was 193 mV, reduced by approximately 140 mV compared to OER, with outstanding stability. The catalytic mechanism was analyzed using ion chromatography, revealing the key role of Ni doping in enhancing catalytic activity and stability. This study provides new strategies for improving the electrocatalytic hydrogen production efficiency of renewable energy and reducing the production cost of hydrogen energy.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122661"},"PeriodicalIF":9.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422284","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

Field measurement and simulation of a novel passive solar and shallow-geothermal heating system designed for temporary prefabricated houses

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-02-12 DOI: 10.1016/j.renene.2025.122648

Wei Han , Yongcai Li , Fangqi Lu , Ruihua Yan , Sheng Li , Xiaohan Tao

Temporary buildings have become the main options in emergency situations. However, they usually have poor indoor thermal environment and air quality in winter. In this paper, a novel passive ventilation and heating system utilizing solar and shallow-geothermal for temporary prefabricated houses is proposed. The aims of this study was to experimentally and numerically evaluate the heating performance of the proposed system under cold weather conditions. The field measurement results validated that the passive heating system can provide 24-h ventilation, and effectively elevate the indoor temperature. The average indoor temperature was elevated by 5.3 °C, and the maximum temperature rise was 8.3 °C at night. Simulation results revealed that increasing chimney height can reduce the reverse buoyancy force. The peak ventilation rate increased from 120.2 to 365.7 m³/h, and the indoor temperature increased from 7.2 to 13.1 °C when the chimney height increased from 2 to 5 m. The effects of pipe and ground solar collector lengths on the system performance were not as important as that of the chimney height. The peak daytime airflow rate and indoor temperature increased from 0 to 171.5 m³/h, and from 8.2 to 11.7 °C, respectively, when roof solar collector length increased from 3.6 to 6.0 m.

{"title":"Field measurement and simulation of a novel passive solar and shallow-geothermal heating system designed for temporary prefabricated houses","authors":"Wei Han , Yongcai Li , Fangqi Lu , Ruihua Yan , Sheng Li , Xiaohan Tao","doi":"10.1016/j.renene.2025.122648","DOIUrl":"10.1016/j.renene.2025.122648","url":null,"abstract":"<div><div>Temporary buildings have become the main options in emergency situations. However, they usually have poor indoor thermal environment and air quality in winter. In this paper, a novel passive ventilation and heating system utilizing solar and shallow-geothermal for temporary prefabricated houses is proposed. The aims of this study was to experimentally and numerically evaluate the heating performance of the proposed system under cold weather conditions. The field measurement results validated that the passive heating system can provide 24-h ventilation, and effectively elevate the indoor temperature. The average indoor temperature was elevated by 5.3 °C, and the maximum temperature rise was 8.3 °C at night. Simulation results revealed that increasing chimney height can reduce the reverse buoyancy force. The peak ventilation rate increased from 120.2 to 365.7 m<sup>3</sup>/h, and the indoor temperature increased from 7.2 to 13.1 °C when the chimney height increased from 2 to 5 m. The effects of pipe and ground solar collector lengths on the system performance were not as important as that of the chimney height. The peak daytime airflow rate and indoor temperature increased from 0 to 171.5 m<sup>3</sup>/h, and from 8.2 to 11.7 °C, respectively, when roof solar collector length increased from 3.6 to 6.0 m.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122648"},"PeriodicalIF":9.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422387","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

Experimental investigation of a baffled photovoltaic-thermal air collector with SiC nano-embedded thermal paste: A comparative study

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-02-12 DOI: 10.1016/j.renene.2025.122649

Emine Yağız Gürbüz , İstemihan Şahinkesen , Azim Doğuş Tuncer , Onur Vahip Güler , Ali Keçebaş , Aleksandar G. Georgiev

This study introduces a novel enhancement to photovoltaic-thermal (PVT) air collectors by integrating fins with silicon carbide (SiC) nanoparticles-doped thermal paste, a method not previously explored in the literature. The innovation leverages the superior thermal conductivity of SiC nanoparticles to improve heat dissipation, optimizing both electrical and thermal efficiency. Experimental tests were conducted on three configurations: a reference PVT system, a PVT system with fins using regular thermal paste, and a PVT system with fins attached using a SiC nanoparticles-doped thermal paste. The results demonstrated that the SiC-enhanced configuration (PVT-3) achieved the highest average efficiencies: 14.5 % electrical and 75.5 % thermal, outperforming the conventional setup (PVT-1) by 3 % and 25 %, respectively. PVT-3 outperformed PVT-2 by 7.7 % in thermal efficiency and 6.2 % in electrical efficiency. Additionally, PVT-3 showed a superior exergy efficiency of 11.7 %, a normalized power output efficiency (NPOE) of 66.2 %, a performance ratio (PR) of 0.85, and a sustainability index (SI) of 1.1. Economic analysis highlighted a net benefit of €59.17 with a LCOE of €0.0138/kWh and LCOH of €0.0029/kWh, demonstrating its economic feasibility despite a slightly longer payback period compared to the non-nanoparticle system. These findings confirm that integrating SiC nanoparticles into PVT systems enhances heat management, energy output, and economic performance. This study contributes to the development of sustainable energy solutions by improving PVT systems for broader adoption in renewable energy applications.

{"title":"Experimental investigation of a baffled photovoltaic-thermal air collector with SiC nano-embedded thermal paste: A comparative study","authors":"Emine Yağız Gürbüz , İstemihan Şahinkesen , Azim Doğuş Tuncer , Onur Vahip Güler , Ali Keçebaş , Aleksandar G. Georgiev","doi":"10.1016/j.renene.2025.122649","DOIUrl":"10.1016/j.renene.2025.122649","url":null,"abstract":"<div><div>This study introduces a novel enhancement to photovoltaic-thermal (PVT) air collectors by integrating fins with silicon carbide (SiC) nanoparticles-doped thermal paste, a method not previously explored in the literature. The innovation leverages the superior thermal conductivity of SiC nanoparticles to improve heat dissipation, optimizing both electrical and thermal efficiency. Experimental tests were conducted on three configurations: a reference PVT system, a PVT system with fins using regular thermal paste, and a PVT system with fins attached using a SiC nanoparticles-doped thermal paste. The results demonstrated that the SiC-enhanced configuration (PVT-3) achieved the highest average efficiencies: 14.5 % electrical and 75.5 % thermal, outperforming the conventional setup (PVT-1) by 3 % and 25 %, respectively. PVT-3 outperformed PVT-2 by 7.7 % in thermal efficiency and 6.2 % in electrical efficiency. Additionally, PVT-3 showed a superior exergy efficiency of 11.7 %, a normalized power output efficiency (NPOE) of 66.2 %, a performance ratio (PR) of 0.85, and a sustainability index (SI) of 1.1. Economic analysis highlighted a net benefit of €59.17 with a LCOE of €0.0138/kWh and LCOH of €0.0029/kWh, demonstrating its economic feasibility despite a slightly longer payback period compared to the non-nanoparticle system. These findings confirm that integrating SiC nanoparticles into PVT systems enhances heat management, energy output, and economic performance. This study contributes to the development of sustainable energy solutions by improving PVT systems for broader adoption in renewable energy applications.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122649"},"PeriodicalIF":9.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428046","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