Energy最新文献 - Book学术

A review of refrigerant-based vortex tube separation characteristics: Devices, thermodynamic cycles and system experiments

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy

Pub Date : 2025-03-01 DOI: 10.1016/j.energy.2025.135334

Dongliang Jing, Gang Yan, Yinlong Li, Tong Xiong, Guoqiang Liu

Vortex tube is a device with energy self-separation and no moving parts. The existing studies mainly focused on the energy separation mechanism of vortex tube with air as the working fluid. The environmental impact of refrigerants needs to be considered when integrating vortex tube into refrigeration systems. Closed systems complicate the separation environment. Refrigerants, as non-ideal gases, may undergo phase change during energy separation in vortex tube, and the generated two-phase flow may lead to a deterioration or loss of energy separation. The separation characteristics of refrigerant as working fluid and its application in refrigeration systems are challenging and have not been systematically summarized. Therefore, this review innovatively analyzes the separation characteristics of refrigerant-based vortex tube (RBVT) from three aspects: devices, thermodynamic cycles and system experiments. The analysis indicated that RBVT can enhance the coefficient of performance (COP) of theoretical cycles when used as a throttling, cooling or separating device. Moreover, the optimal separation characteristics of RBVT in system require a deeper understanding of refrigerant behavior, vortex tube optimization mechanism, cycle construction and matching between components. This review completes the research progress of vortex tube at cryogenic temperature and provides a reference and future research directions for integrating vortex tube into refrigeration systems.

{"title":"A review of refrigerant-based vortex tube separation characteristics: Devices, thermodynamic cycles and system experiments","authors":"Dongliang Jing, Gang Yan, Yinlong Li, Tong Xiong, Guoqiang Liu","doi":"10.1016/j.energy.2025.135334","DOIUrl":"10.1016/j.energy.2025.135334","url":null,"abstract":"<div><div>Vortex tube is a device with energy self-separation and no moving parts. The existing studies mainly focused on the energy separation mechanism of vortex tube with air as the working fluid. The environmental impact of refrigerants needs to be considered when integrating vortex tube into refrigeration systems. Closed systems complicate the separation environment. Refrigerants, as non-ideal gases, may undergo phase change during energy separation in vortex tube, and the generated two-phase flow may lead to a deterioration or loss of energy separation. The separation characteristics of refrigerant as working fluid and its application in refrigeration systems are challenging and have not been systematically summarized. Therefore, this review innovatively analyzes the separation characteristics of refrigerant-based vortex tube (RBVT) from three aspects: devices, thermodynamic cycles and system experiments. The analysis indicated that RBVT can enhance the coefficient of performance (COP) of theoretical cycles when used as a throttling, cooling or separating device. Moreover, the optimal separation characteristics of RBVT in system require a deeper understanding of refrigerant behavior, vortex tube optimization mechanism, cycle construction and matching between components. This review completes the research progress of vortex tube at cryogenic temperature and provides a reference and future research directions for integrating vortex tube into refrigeration systems.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"320 ","pages":"Article 135334"},"PeriodicalIF":9.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551698","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

Permeating hydrogen effect on the protective performance of a composite film consisting of corrosion inhibitors and iron oxides used in CO2 utilization related environment

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy

Pub Date : 2025-02-26 DOI: 10.1016/j.energy.2025.135299

Xiankang Zhong , Tianguan Wang , Shaoqiang Guo , Zhi Yang , Yichao Liu , Guangxu Cheng

The protection provided by corrosion inhibitors for the internal surfaces of pipes or equipment used in CO₂ utilization environments is critical. However, the protective performance of the inhibitor can be significantly compromised by the permeating hydrogen generated from the external wall surfaces of the pipes or equipment. This problem becomes more severe when the inhibitors adsorb onto the iron oxides on the internal surface. In this study, we simulated permeating hydrogen by electrochemically generating it and investigated its effect on the protective performance of a composite film composed of 2-mercaptopyrimidine and iron oxides on X70 steel. The results indicate that permeating hydrogen can alter the structure and composition of the oxide layer, making it more defective. This facilitates the penetration of corrosive species through the composite film to the substrate. Additionally, permeating hydrogen can change the composition of the oxide layer, reducing Fe₂O₃ to FeO, which hinders the adsorption of 2-mercaptopyrimidine, leading to inhibitor desorption. Consequently, the integrity of the composite film is compromised, and its protective performance deteriorates significantly.

{"title":"Permeating hydrogen effect on the protective performance of a composite film consisting of corrosion inhibitors and iron oxides used in CO2 utilization related environment","authors":"Xiankang Zhong , Tianguan Wang , Shaoqiang Guo , Zhi Yang , Yichao Liu , Guangxu Cheng","doi":"10.1016/j.energy.2025.135299","DOIUrl":"10.1016/j.energy.2025.135299","url":null,"abstract":"<div><div>The protection provided by corrosion inhibitors for the internal surfaces of pipes or equipment used in CO<sub>2</sub> utilization environments is critical. However, the protective performance of the inhibitor can be significantly compromised by the permeating hydrogen generated from the external wall surfaces of the pipes or equipment. This problem becomes more severe when the inhibitors adsorb onto the iron oxides on the internal surface. In this study, we simulated permeating hydrogen by electrochemically generating it and investigated its effect on the protective performance of a composite film composed of 2-mercaptopyrimidine and iron oxides on X70 steel. The results indicate that permeating hydrogen can alter the structure and composition of the oxide layer, making it more defective. This facilitates the penetration of corrosive species through the composite film to the substrate. Additionally, permeating hydrogen can change the composition of the oxide layer, reducing Fe<sub>2</sub>O<sub>3</sub> to FeO, which hinders the adsorption of 2-mercaptopyrimidine, leading to inhibitor desorption. Consequently, the integrity of the composite film is compromised, and its protective performance deteriorates significantly.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"320 ","pages":"Article 135299"},"PeriodicalIF":9.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519190","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 multi-factor clustering integration paradigm for wind speed point-interval prediction based on feature selection and optimized inverted transformer

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy

Pub Date : 2025-02-25 DOI: 10.1016/j.energy.2025.135210

Jujie Wang, Weiyi Jiang, Shuqin Shu, Xuecheng He

Accurate wind speed prediction is essential for enhancing wind power integration and ensuring grid stability. These limitations include insufficient consideration of external factors, oversimplified handling of temporal correlations. This paper proposes a multi-factor clustering integration model for wind speed point-interval prediction, incorporating advanced feature selection and an optimized inverted Transformer. The approach begins with a characteristic contribution assessment method to identify critical factors impacting prediction accuracy, ensuring the model leverages the most influential features. Subsequently, through an intrinsic feature extraction method, the wind speed series are further segmented into multiple clusters, capturing multi-scale dependencies and complex temporal patterns that may be overlooked by traditional models. This segmented approach enables a dual-phase forecasting framework, where the optimized inverted Transformer is applied to each cluster, increasing both predictive stability and precision by aligning forecasts with specific data patterns. Additionally, a point to interval prediction mechanism generates probabilistic intervals that effectively capture the uncertainty inherent in wind speed data. Experiments conducted on two datasets confirm the model's superiority, achieving the lowest mean squared error among comparison models. This integrated methodology enhances the accuracy, robustness, and interpretability of short-term wind speed forecasts, providing a comprehensive solution to the inherent challenges of wind speed prediction.

{"title":"A multi-factor clustering integration paradigm for wind speed point-interval prediction based on feature selection and optimized inverted transformer","authors":"Jujie Wang, Weiyi Jiang, Shuqin Shu, Xuecheng He","doi":"10.1016/j.energy.2025.135210","DOIUrl":"10.1016/j.energy.2025.135210","url":null,"abstract":"<div><div>Accurate wind speed prediction is essential for enhancing wind power integration and ensuring grid stability. These limitations include insufficient consideration of external factors, oversimplified handling of temporal correlations. This paper proposes a multi-factor clustering integration model for wind speed point-interval prediction, incorporating advanced feature selection and an optimized inverted Transformer. The approach begins with a characteristic contribution assessment method to identify critical factors impacting prediction accuracy, ensuring the model leverages the most influential features. Subsequently, through an intrinsic feature extraction method, the wind speed series are further segmented into multiple clusters, capturing multi-scale dependencies and complex temporal patterns that may be overlooked by traditional models. This segmented approach enables a dual-phase forecasting framework, where the optimized inverted Transformer is applied to each cluster, increasing both predictive stability and precision by aligning forecasts with specific data patterns. Additionally, a point to interval prediction mechanism generates probabilistic intervals that effectively capture the uncertainty inherent in wind speed data. Experiments conducted on two datasets confirm the model's superiority, achieving the lowest mean squared error among comparison models. This integrated methodology enhances the accuracy, robustness, and interpretability of short-term wind speed forecasts, providing a comprehensive solution to the inherent challenges of wind speed prediction.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"320 ","pages":"Article 135210"},"PeriodicalIF":9.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512640","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

Numerical investigation of thermal energy storage in wavy enclosures with nanoencapsulated phase change materials using deep learning

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy

Pub Date : 2025-02-25 DOI: 10.1016/j.energy.2025.135272

Andaç Batur Çolak

The efficient storage and utilization of thermal energy remain critical challenges in advancing sustainable energy solutions, particularly in applications involving phase change materials. Nanoencapsulated phase change materials offer significant advantages, including compact dimensions, high specific surface area, superior thermal stability, and enhanced heat transfer performance, making them ideal candidates for thermal energy storage. However, accurately modeling the thermal behavior of these materials within complex enclosures, such as wavy structures, remains a computationally intensive and time-consuming challenge. To address this limitation, this study leverages deep learning techniques to precisely predict the thermal energy storage properties of nanoencapsulated phase change materials in wavy enclosures. Three different artificial neural network models were developed to simulate the thermal properties of the system, with each model incorporating varying input parameters and employing the Levenberg-Marquardt training algorithm. The outputs generated by the multilayer perceptron network models were compared against experimental data, demonstrating an excellent fit. Performance evaluations indicated that the developed models achieved exceptionally high prediction accuracy, with an average deviation of less than −0.65 %. The findings of this study highlight the potential of deep learning as a powerful predictive tool in thermal energy storage applications. By significantly reducing computational costs while maintaining high accuracy, this approach offers a transformative solution for optimizing energy storage system design.

{"title":"Numerical investigation of thermal energy storage in wavy enclosures with nanoencapsulated phase change materials using deep learning","authors":"Andaç Batur Çolak","doi":"10.1016/j.energy.2025.135272","DOIUrl":"10.1016/j.energy.2025.135272","url":null,"abstract":"<div><div>The efficient storage and utilization of thermal energy remain critical challenges in advancing sustainable energy solutions, particularly in applications involving phase change materials. Nanoencapsulated phase change materials offer significant advantages, including compact dimensions, high specific surface area, superior thermal stability, and enhanced heat transfer performance, making them ideal candidates for thermal energy storage. However, accurately modeling the thermal behavior of these materials within complex enclosures, such as wavy structures, remains a computationally intensive and time-consuming challenge. To address this limitation, this study leverages deep learning techniques to precisely predict the thermal energy storage properties of nanoencapsulated phase change materials in wavy enclosures. Three different artificial neural network models were developed to simulate the thermal properties of the system, with each model incorporating varying input parameters and employing the Levenberg-Marquardt training algorithm. The outputs generated by the multilayer perceptron network models were compared against experimental data, demonstrating an excellent fit. Performance evaluations indicated that the developed models achieved exceptionally high prediction accuracy, with an average deviation of less than −0.65 %. The findings of this study highlight the potential of deep learning as a powerful predictive tool in thermal energy storage applications. By significantly reducing computational costs while maintaining high accuracy, this approach offers a transformative solution for optimizing energy storage system design.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"320 ","pages":"Article 135272"},"PeriodicalIF":9.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508885","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

Exploring the spatial effect of China's carbon emission trading scheme on green total factor productivity: An SBM-MML measurement and its decomposition

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy

Pub Date : 2025-02-25 DOI: 10.1016/j.energy.2025.135269

Zhengzhong Wang , Shuihan Liu , Yunjie Wei , Shouyang Wang

To obtain a detailed evaluation of green total factor productivity (GTFP), a novel measurement, Slack Based Measure-Meta-frontier Malmquist Luenberger (SBM-MML) model, is proposed in this paper. Instead of decomposing the growth rate of GTFP, it can directly decompose the GTFP into three components representing technical efficiency, technological innovation and technical leadership, respectively. Taking the provincial data of China from 2005 to 2020, it is found that eastern China, followed by central China, northeast China and western China, has the highest level of GTFP, efficiency, technological innovation and technical leadership. Moreover, the technological level of eastern China is far ahead of the national average level. In 2013, to explore the mechanism of carbon emission reduction, the Chinese government launched a carbon emissions trading scheme (CETS) in seven pilot regions. In this paper, the spatial difference-in-differences (SDID) model is used to measure the direct effect and the spatial effect of the CETS pilot policy on the GTFP and its components. It is found that the CETS pilot policy has a positive effect and a positive spillover effect on the GTFP, whereas a negative siphon effect on technological innovation is also indicated. Finally, based on the results, several policy implications are put forward.

{"title":"Exploring the spatial effect of China's carbon emission trading scheme on green total factor productivity: An SBM-MML measurement and its decomposition","authors":"Zhengzhong Wang , Shuihan Liu , Yunjie Wei , Shouyang Wang","doi":"10.1016/j.energy.2025.135269","DOIUrl":"10.1016/j.energy.2025.135269","url":null,"abstract":"<div><div>To obtain a detailed evaluation of green total factor productivity (GTFP), a novel measurement, Slack Based Measure-Meta-frontier Malmquist Luenberger (SBM-MML) model, is proposed in this paper. Instead of decomposing the growth rate of GTFP, it can directly decompose the GTFP into three components representing technical efficiency, technological innovation and technical leadership, respectively. Taking the provincial data of China from 2005 to 2020, it is found that eastern China, followed by central China, northeast China and western China, has the highest level of GTFP, efficiency, technological innovation and technical leadership. Moreover, the technological level of eastern China is far ahead of the national average level. In 2013, to explore the mechanism of carbon emission reduction, the Chinese government launched a carbon emissions trading scheme (CETS) in seven pilot regions. In this paper, the spatial difference-in-differences (SDID) model is used to measure the direct effect and the spatial effect of the CETS pilot policy on the GTFP and its components. It is found that the CETS pilot policy has a positive effect and a positive spillover effect on the GTFP, whereas a negative siphon effect on technological innovation is also indicated. Finally, based on the results, several policy implications are put forward.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"320 ","pages":"Article 135269"},"PeriodicalIF":9.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512636","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 novel scheduling strategy of a hybrid wind-solar-hydro system for smoothing energy and power fluctuations

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy

Pub Date : 2025-02-25 DOI: 10.1016/j.energy.2025.135268

Yunhong Shi , Chengjiang Li , Honglei Wang , Xiaolin Wang , Michael Negnevitsky

Hybrid wind-solar-hydro-storage system integrates multiple uncertain renewable energy sources and storage systems to maximize outputs and stability in modern power systems. However, the challenge of differentiated fluctuations presented by renewable energy generation across different time scales degrades the system operation performance. This study constructed a hybrid system including wind, photovoltaic, and cascade hydropower plants, and a multi-objective coordinative scheduling strategy, to smooth energy and power fluctuations. Strategies are explored using a collaborative operation mode with grouped energy storage to address uncertain power deviations during real-time adjustments within a day. The strategy can effectively optimize the internal load distribution of energy routers, avoiding up to 15.17 % of unnecessary operational fluctuations in day-ahead scheduling and reducing the fluctuation mitigation potential by up to 27,6 %. Additionally, it achieves up to 64.69 % reduction in profound operational fluctuations. The load-side flexibility mechanism enhances economic efficiency by up to 11.26 %. Furthermore, the strategy increases the risk coverage ratio while reducing the failure amount and frequency of daily power fluctuation suppression by 96.91 % and 94.44 %. The proposed strategy provides an effective solution for large hybrid systems to smooth energy and power fluctuations, while also delivering ecological and navigational benefits alongside significantly stabilized operations.

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引用次数: 0

A techno-enviro-economic framework for optimal operation of a battery-driven hybrid energy system with biomass: A risk-averse approach

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy

Pub Date : 2025-02-25 DOI: 10.1016/j.energy.2025.135273

Mehran Khodadadi, Alireza Askarzadeh

In power system, optimal operation of grid-connected hybrid energy systems (HESs) is a challenging issue which should be considered from technical, economic and environmental aspects. Load uncertainty is a key parameter which can significantly affect the result of the operation problem and from the operator's point of view, it is necessary to evaluate the operation risk and make the system robust against the increase of the load demand. This paper proposes a risk-averse-based framework for techno-enviro-economic operation of a grid-connected HES composed of photovoltaic (PV), biomass (as a dispatchable renewable resource) and battery (as a storage device). In the PV/biomass/battery HES, load uncertainty is modelled by information gap decision theory (IGDT) and a robust IGDT model is developed to identify the highest level of the uncertainty radius. In order to efficiently solve the operation problem, crow search algorithm (CSA) is utilized and since the performance of CSA is greatly influenced by a parameter, named awareness probability, the impact of using various patterns (constant, linear and nonlinear) is investigated on the operation results. Over the case study, it is observed that when there is no risk and emission cost is included in the objective function, the value of CO₂ emission decreases around 19.6 %. Furthermore, with respect to the deviation factors of 0.1, 0.15 and 0.2, maximum value of the uncertainty radius is obtained 6.84 %, 10 % and 13.76 %, respectively.

{"title":"A techno-enviro-economic framework for optimal operation of a battery-driven hybrid energy system with biomass: A risk-averse approach","authors":"Mehran Khodadadi, Alireza Askarzadeh","doi":"10.1016/j.energy.2025.135273","DOIUrl":"10.1016/j.energy.2025.135273","url":null,"abstract":"<div><div>In power system, optimal operation of grid-connected hybrid energy systems (HESs) is a challenging issue which should be considered from technical, economic and environmental aspects. Load uncertainty is a key parameter which can significantly affect the result of the operation problem and from the operator's point of view, it is necessary to evaluate the operation risk and make the system robust against the increase of the load demand. This paper proposes a risk-averse-based framework for techno-enviro-economic operation of a grid-connected HES composed of photovoltaic (PV), biomass (as a dispatchable renewable resource) and battery (as a storage device). In the PV/biomass/battery HES, load uncertainty is modelled by information gap decision theory (IGDT) and a robust IGDT model is developed to identify the highest level of the uncertainty radius. In order to efficiently solve the operation problem, crow search algorithm (CSA) is utilized and since the performance of CSA is greatly influenced by a parameter, named awareness probability, the impact of using various patterns (constant, linear and nonlinear) is investigated on the operation results. Over the case study, it is observed that when there is no risk and emission cost is included in the objective function, the value of CO<sub>2</sub> emission decreases around 19.6 %. Furthermore, with respect to the deviation factors of 0.1, 0.15 and 0.2, maximum value of the uncertainty radius is obtained 6.84 %, 10 % and 13.76 %, respectively.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"320 ","pages":"Article 135273"},"PeriodicalIF":9.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512633","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 static rupture pressure on internal overpressure characteristics during petroleum fuel-air venting explosion process: A small-scale experimental study

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy

Pub Date : 2025-02-25 DOI: 10.1016/j.energy.2025.135225

Shimao Wang , Xiaoyu Dong

A small-scale experimental system for venting explosions of petroleum fuel-air mixtures was constructed. Venting explosion tests of petroleum fuel-air mixture tests were conducted under different static rupture pressures (P_ST). The experiments obtained the overpressure characteristics under various P_ST conditions and classified the venting explosion modes. The experimental results indicate that the overpressure-time curves can be categorized into three modes and five typical stages, characterized by seven overpressure peaks. These overpressure peaks are attributed to the burst of vent cover (Δp₁), the acceleration of unburnt gas venting (Δp_un), the reduction of flame speed caused by collision between reflux gas and flame surface (Δp_red), the flame venting acceleration (Δp₂), the external explosion (Δp₃), the Helmholtz oscillation (Δp_hel) and the coupling of unburnt gas acceleration and flame venting (Δp_un&Δp₂). When 0 kPa ≤ P_ST ≤ 5 kPa, the maximum peak is Δp_un, whereas when 10 kPa ≤ P_ST ≤ 140 kPa, the maximum peak is Δp₁. After the burst of vent cover, a dramatic transient occurs, specifically following the sequence of ‘venting of flame inducing negative overpressure-external gas reflux-collision of reflux gases with flame front-intensified internal combustion leading to positive overpressure’, culminating in Helmholtz oscillations. All the overpressure parameters are closely related to P_ST.

{"title":"Effect of static rupture pressure on internal overpressure characteristics during petroleum fuel-air venting explosion process: A small-scale experimental study","authors":"Shimao Wang , Xiaoyu Dong","doi":"10.1016/j.energy.2025.135225","DOIUrl":"10.1016/j.energy.2025.135225","url":null,"abstract":"<div><div>A small-scale experimental system for venting explosions of petroleum fuel-air mixtures was constructed. Venting explosion tests of petroleum fuel-air mixture tests were conducted under different static rupture pressures (P<sub>ST</sub>). The experiments obtained the overpressure characteristics under various P<sub>ST</sub> conditions and classified the venting explosion modes. The experimental results indicate that the overpressure-time curves can be categorized into three modes and five typical stages, characterized by seven overpressure peaks. These overpressure peaks are attributed to the burst of vent cover (Δ<em>p</em><sub>1</sub>), the acceleration of unburnt gas venting (Δ<em>p</em><sub>un</sub>), the reduction of flame speed caused by collision between reflux gas and flame surface (Δ<em>p</em><sub>red</sub>), the flame venting acceleration (Δ<em>p</em><sub>2</sub>), the external explosion (Δ<em>p</em><sub>3</sub>), the Helmholtz oscillation (Δ<em>p</em><sub>hel</sub>) and the coupling of unburnt gas acceleration and flame venting (Δ<em>p</em><sub>un</sub>&Δ<em>p</em><sub>2</sub>). When 0 kPa ≤ P<sub>ST</sub> ≤ 5 kPa, the maximum peak is Δ<em>p</em><sub>un</sub>, whereas when 10 kPa ≤ P<sub>ST</sub> ≤ 140 kPa, the maximum peak is Δ<em>p</em><sub>1</sub>. After the burst of vent cover, a dramatic transient occurs, specifically following the sequence of ‘venting of flame inducing negative overpressure-external gas reflux-collision of reflux gases with flame front-intensified internal combustion leading to positive overpressure’, culminating in Helmholtz oscillations. All the overpressure parameters are closely related to P<sub>ST</sub>.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"320 ","pages":"Article 135225"},"PeriodicalIF":9.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512634","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

Response of wave energy to tidal influence along the coast of Shandong Peninsula, China

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy

Pub Date : 2025-02-25 DOI: 10.1016/j.energy.2025.135266

Bingchen Liang , Xianghe Zhang , Zhuxiao Shao , Huijun Gao

The exploitation of wave energy is of great significance to the sustainable development of energy system, but it still faces challenges in complex dynamic environment. In this study, the influence of tides on wave parameters and wave spectrum along the coast of Shandong Peninsula is investigated based on the MIKE21 SW and HD models. The simulation results show that the percentage difference of wave power between the coupled mode and the uncoupled mode is greater than 220 % in the northern nearshore zone. A detailed analysis of the four characteristic moments of the tidal cycle shows that the tide level may have a greater effect on the wave than the tidal current, and that the change in wave period is opposite to the change in wave height and wave power as the tidal current direction changes. Through analysis of the wave spectrum, this opposite characteristic may be attributed to changes in wave energy processes under tidal action, such as enhanced nonlinear interactions and high-frequency components gaining more energy from wind input. These effects of tides on waves can alter the distribution of wave energy, which is crucial to the design of optimal conversion intervals for wave energy devices.

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引用次数: 0

The low-carbon transition of rotary engines: Potential and challenges of alcohol fuels

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy

Pub Date : 2025-02-25 DOI: 10.1016/j.energy.2025.135260

Jian Lei , Shiqi Zhang , Jianhui Bao , Gu Xin , Xiyu Yang , Cheng Shi

The transition to low-carbon fuels is essential for achieving carbon neutrality in internal combustion engines. Rotary engines, with their unique structural advantages such as lightweight design and high power density, offer significant potential for reducing carbon emissions and improving combustion efficiency. This review examines the application of alcohol fuels (methanol, ethanol, and butanol) in rotary engines, focusing on their combustion characteristics, emission performance, and compatibility with existing engine technologies. Alcohol fuels, particularly methanol and ethanol, have demonstrated enhanced thermal efficiency and reduced emissions of HC and CO due to their high oxygen content and favorable combustion properties. However, challenges remain, including higher NOx emissions and the need for engine modifications to accommodate alcohol fuels. This paper synthesizes recent advancements in alcohol-fueled rotary engines, highlighting key technical approaches and future research directions. The findings suggest that optimizing fuel blends, ignition strategies, and engine parameters can significantly improve the performance and sustainability of rotary engines, positioning them as a viable option for future low-carbon transportation systems.

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引用次数: 0