EnergyPub Date : 2025-04-15DOI: 10.1016/j.energy.2025.136194
Hui Guo , Shaopeng Tian , Congda Xiao , Wenlong Xie , Long Wang , Yuxin Pan , Shujin Yang , Can Yang , Aiguo Han , Yuning Wang
{"title":"The effect of phase difference between adjacent channels of fluctuating air intake on the performance improvement of multi-channel fuel cells","authors":"Hui Guo , Shaopeng Tian , Congda Xiao , Wenlong Xie , Long Wang , Yuxin Pan , Shujin Yang , Can Yang , Aiguo Han , Yuning Wang","doi":"10.1016/j.energy.2025.136194","DOIUrl":"10.1016/j.energy.2025.136194","url":null,"abstract":"<div><div>The concentration of reactants directly affects the electrochemical performance of fuel cells. This study aims to improve mass and heat transfer within the gas diffusion layer by introducing pressure fluctuations at the cathode inlet and enhancing lateral velocities under the rib region by setting phase differences between adjacent channels. A three-dimensional, two-phase, four-channel PEMFC model was established. The results indicate that when a 90-degree phase difference exists between adjacent channels, the max average current density increases by 6.7 % compared to that at steady state. The potential reason is that the phase difference creates a pressure gradient on both sides of the rib, promoting the conversion of internal energy to kinetic energy. Consequently, the peak pressure in GDL-rib region decreases to 1500 Pa, and the peak lateral velocity increases to 0.6 m/s. Lower fluctuation frequencies not only result in larger regions of high lateral velocity but also have longer velocity maintenance times, thereby facilitating material exchange in the deeper GDL-rib regions and significantly increasing the oxygen concentration. Additionally, the results show that increasing the amplitude of fluctuations helps enhance fuel cell performance but also significantly increases the pressure difference, thereby increasing parasitic power.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"325 ","pages":"Article 136194"},"PeriodicalIF":9.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838858","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}
{"title":"Energy and Material Recovery from Bone Waste: Steam Gasification for Biochar and Syngas Production in a Circular Economy Framework","authors":"Agata Mlonka-Mędrala , Szymon Sobek , Mariusz Wądrzyk , Sebastian Werle , Gabriela Ionescu , Cosmin Mărculescu , Aneta Magdziarz","doi":"10.1016/j.energy.2025.136179","DOIUrl":"10.1016/j.energy.2025.136179","url":null,"abstract":"<div><div>The food industry generates large amounts of bone waste, which presents both environmental and economic challenges. This study investigates the potential of bone waste as a feedstock for the production of energy carriers (syngas) and biochar through steam gasification, contributing to sustainable energy and circular economy strategies. The raw feedstock characterised by low carbon (<20%) and high ash content (with large amounts of Ca and P) was subjected to steam gasification at 800 °C, 900 °C and 1000 °C to obtain the biochar developed at the surface. Biochar generated at 800 °C exhibited the highest surface area and micropore volume, making it ideal for catalysis or energy storage purposes. This biochar was then applied to the Py-GC-MS of biomass to investigate its catalytic properties. Kinetic analysis using isoconversional methods revealed that the addition of bone-derived biochar to biomass reduced the apparent activation energy in the primary devolatilization stage, facilitating a more efficient conversion process. These findings highlight the feasibility of using bone waste as a resource for the development of advanced biofuels and catalysts, aligning with the sustainability goals and waste valorisation principles.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"325 ","pages":"Article 136179"},"PeriodicalIF":9.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839034","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}
EnergyPub Date : 2025-04-15DOI: 10.1016/j.energy.2025.136191
Jing Zhang , Tonghe Wang , Zhuoying Liao , Zitong Tang , Yue Pei , Qiong Cui , Jie Shu , Weiye Zheng
{"title":"Optimal operation strategy for distribution network with high-penetration distributed PV based on soft open point and multi-device collaboration","authors":"Jing Zhang , Tonghe Wang , Zhuoying Liao , Zitong Tang , Yue Pei , Qiong Cui , Jie Shu , Weiye Zheng","doi":"10.1016/j.energy.2025.136191","DOIUrl":"10.1016/j.energy.2025.136191","url":null,"abstract":"<div><div>The large-scale integration of distributed photovoltaic (DPV) into distribution networks (DNs) causes voltage fluctuations and increased system losses. To address this issue, this paper proposes an optimal operation strategy for DN with high-penetration DPV based on soft open point (SOP) and multi-device collaboration. First, an accurate day-ahead/intra-day PV power prediction model is constructed. In the day-ahead stage, the optimal sequences of on-load tap changer (OLTC), tie switches (TS) and energy storage system (ESS) are determined, with the objective of minimizing active power losses and PV power curtailment. In the intra-day rolling stage, based on the day-ahead optimization, model predictive control (MPC) method is employed to perform rolling optimization of the operating state of SOPs. In the real-time correction stage, power flow calculation is conducted in response to the actual PV output, refining the optimization results to ensure precision and reliability. Case study demonstrates the proposed strategy alleviates voltage fluctuations, lowers losses, and improves the PV consumption capacity of the DN. Furthermore, in more complex large-scale distribution systems, flexible interconnected SOP can significantly reduce system losses, with the optimization effect improving as PV generation increases.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"325 ","pages":"Article 136191"},"PeriodicalIF":9.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143843914","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}
EnergyPub Date : 2025-04-15DOI: 10.1016/j.energy.2025.136188
Qi Lin , Ke Hou , Yixuan Li , Jihong Wang , Fuping Qian , Dongdong Wang
{"title":"Experimental and numerical study on the thermal performance of microencapsulated phase change material slurry (MEPCS) for closed-loop thermosyphon cooling in a data center","authors":"Qi Lin , Ke Hou , Yixuan Li , Jihong Wang , Fuping Qian , Dongdong Wang","doi":"10.1016/j.energy.2025.136188","DOIUrl":"10.1016/j.energy.2025.136188","url":null,"abstract":"<div><div>Liquid cooling with microencapsulated phase change material slurry (MEPCS) provides high energy-efficiency for data center thermal management. However, existing models lack the capacity to accurately capture the phase-change dynamics within intricate systems. To tackle this, the multiscale additional heat source (MAHS) model was developed. Validation against experimental data demonstrates that it achieves remarkable prediction accuracy, with average errors of 1.62 % for pressure drop and 0.42 % for temperature. Results reveal that the concentration has a “double-edged sword” effect. Low-concentration MEPCS (0.1–2 %) enhances heat transfer effectiveness by 1.01–1.05 times via latent heat and micro-convection, while high concentrations (e.g. 15 %) degrade performance due to high-viscosity-induced flow resistance. For a system with 0.1 % MEPCS, the reduction in thermal resistance per unit heating-power increase (1.7–4.3) is significantly greater than that per unit cooling-temperature increase (1.1–2.0). Under critical conditions (26 °C cooling, 20W heating), of the thermosiphon system with 0.1–2 % MEPCS has the thermal resistance as the pure carrier fluid. At higher powers (>20 W), MEPCS shows better chip-cooling heat-flux adaptability due to latent heat and energy density advantages. This study proposes the first validated framework for passive MEPCS-driven cooling, advancing energy-efficient thermal management in high-density computing infrastructures.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"325 ","pages":"Article 136188"},"PeriodicalIF":9.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848472","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}
EnergyPub Date : 2025-04-15DOI: 10.1016/j.energy.2025.136186
Hui Pang , Xiangping Yan , Nan Jiang , Guodong Fan , Jiarong Du , Guangyang Lin
{"title":"Towards co-estimation of lithium-ion battery state of charge and state of temperature using a thermal-coupled extended single-particle model","authors":"Hui Pang , Xiangping Yan , Nan Jiang , Guodong Fan , Jiarong Du , Guangyang Lin","doi":"10.1016/j.energy.2025.136186","DOIUrl":"10.1016/j.energy.2025.136186","url":null,"abstract":"<div><div>The state of charge (SOC) and state of temperature (SOT) are two crucial battery states that are often individually estimated in lithium-ion batteries (LIBs). The cross-interferences between the battery SOC and SOT are not extensively considered, which may pose significant challenges for the simultaneous estimation of these two states. To this end, a composite SOC and SOT co-estimation framework is proposed by employing a thermal-coupled extended single-particle model (TESPM) and the square-root adaptive unscented Kalman filtering algorithm (SR-AUKF). First, a battery TESPM is developed, and a multi-objective stepwise parameter identification scheme is presented to parameterize the LIBs. Then, the experimental validation results indicate that the maximum voltage root mean square error (RMSE) of the proposed TESPM is 42.42 mV and the maximum SOT RMSE is 0.36K. Next, following the reduced-order TESPM and its governing state-space equations, the co-estimation framework of the battery SOC and SOT is proposed based on the SR-AUKF. In which, the square-root filtering is merged with adaptive unscented Kalman filtering to prevent the divergence of the filtering results. Lastly, extensive simulations and test investigations are conducted to confirm the effectiveness of the proposed co-estimation framework across a wide temperature range and under various operating conditions.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"326 ","pages":"Article 136186"},"PeriodicalIF":9.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859965","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}
EnergyPub Date : 2025-04-15DOI: 10.1016/j.energy.2025.136175
Gengxin Zhang , Hongming Xu , Dawei Wu , Junfeng Yang , Mohamed E. Morsy , Mehdi Jangi , Roger Cracknell
{"title":"Relationship investigation between quantitative cellular information and self-acceleration of lean hydrogen-air spherical premixed flame","authors":"Gengxin Zhang , Hongming Xu , Dawei Wu , Junfeng Yang , Mohamed E. Morsy , Mehdi Jangi , Roger Cracknell","doi":"10.1016/j.energy.2025.136175","DOIUrl":"10.1016/j.energy.2025.136175","url":null,"abstract":"<div><div>Due to the high diffusivity of hydrogen molecules, lean hydrogen-air premixed flames are more prone to cellular instability during combustion. This instability is known to often lead to self-acceleration of flame propagation, with the flame speed closely related to the cellular area on its surface. In this study, the relationship between quantitative cellular information and self-acceleration of lean hydrogen-air premixed spherically expanding flames was systematically analyzed under various initial temperatures. The focus was on equivalence ratios of 0.4, 0.5, and 0.6, with initial temperatures set at 300 K, 360 K, and 400 K. Quantitative cellular information, including cell number, two- and three-dimensional average cell area, and total cellular flame area, was obtained using an in-house developed image processing program. Based on these quantitative data, the ratio of cellular flame surface area to laminar flame surface area was calculated, and the fractal dimension of the flame front along with the flame self-acceleration exponent was derived. Results indicate that with increasing equivalence ratio and initial temperature, the onset of cellular instability is delayed, while the self-acceleration exponent gradually increases with flame propagation, eventually stabilizing in the range of 1.2–1.4 after full cellularization. Under leaner conditions and lower initial temperatures, flames exhibited a higher self-acceleration exponent. The self-acceleration exponent obtained from the 3D-reconstructed cellular flame area offers a new perspective for developing accurate models of self-accelerating spherically cellular flame propagation, with significant potential applications in hydrogen combustion and explosion safety.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"325 ","pages":"Article 136175"},"PeriodicalIF":9.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848522","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}
EnergyPub Date : 2025-04-15DOI: 10.1016/j.energy.2025.136166
Xinxin Ge , Ge Wang , Fei Wang
{"title":"Optimal day-ahead dispatching strategy for VPP using dynamic grouping DER aggregation method based on improved virtual battery model","authors":"Xinxin Ge , Ge Wang , Fei Wang","doi":"10.1016/j.energy.2025.136166","DOIUrl":"10.1016/j.energy.2025.136166","url":null,"abstract":"<div><div>The day-ahead dispatching strategy of heterogeneous distributed energy resources (DER) for virtual power plants (VPP) is critical to participating in power system and electricity market operation. To achieve the optimal dispatching strategy, efficient modelling of the operational characteristics of DER and accurate evaluation of DER's operational flexibility are two necessary preconditions. However, DER show different operating characteristics reflecting massive nonlinear modelling constraints, which increases the computational complexity. Moreover, the existing methods ignore the DER's flexibility leading to the underutilization and neglection of DER with higher and lower flexibility, respectively, which lower dispatching performance and VPP's profits. Therefore, an optimal day-ahead dispatching strategy for VPP using dynamic grouping DER aggregation method based on improved virtual battery (VB) model is proposed in this paper. Firstly, an improved VB model was constructed to unify the modelling parameters including energy, power and response performance. Secondly, a dynamic grouping method of DER based on high-low match principle is proposed, and DER's flexibility is accurately evaluated based on Minkowski sum and maximum inner approximation algorithm. Finally, a day-ahead dispatching model is proposed to maximize VPP's profits. The numerical results validate the proposed method's effectiveness in the aspects of VPP's operating profits, DER aggregation and dispatching performance.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"326 ","pages":"Article 136166"},"PeriodicalIF":9.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855644","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}
EnergyPub Date : 2025-04-15DOI: 10.1016/j.energy.2025.136181
Yan Zhang , Dawei Wu , Ebrahim Nadimi , Athanasios Tsolakis , Grzegorz Przybyla , Wojciech Adamczyk
{"title":"Genetic algorithm-assisted multi-objective optimization for developing a Multi-Wiebe Combustion model in ammonia-diesel dual fuel engines","authors":"Yan Zhang , Dawei Wu , Ebrahim Nadimi , Athanasios Tsolakis , Grzegorz Przybyla , Wojciech Adamczyk","doi":"10.1016/j.energy.2025.136181","DOIUrl":"10.1016/j.energy.2025.136181","url":null,"abstract":"<div><div>Direction Injection Dual-Fuel (DIDF) engines fueled with ammonia and diesel are identified as a promising solution for decarbonizing large-scale Compression Ignition (CI) engines. This study addresses the research gap of missing a parametric model for simulating the combustion process in DIDF CI engines using ammonia and diesel. Multi-objective optimization and genetic algorithms are applied to generate a parametric Multi-Wiebe Combustion (MWC) model based on experimental results from a NH<sub>3</sub>-diesel DIDF CI engine. The innovative approach supports one-dimensional engine modeling with NH<sub>3</sub>-diesel combustion in GT-Power, enhancing the understanding of direct injection timings, fuel interactions, and combustion dynamics. Key findings include the impact of dual-fuel injection timings and fuel ratios on ignition delay, individual combustion phase durations, and heat release rate, providing a quantitative description of combustion behavior under varying conditions. The validation results show that with injection timing variations from −17.5 to −10 CAD aTDC and NH<sub>3</sub> energy ratios ranging from 40 % to 60 %, relative errors remain below 5 % for key performance indicators such as pressure and efficiency. This study proposes a methodology to generate an accurate combustion model – the MWC model - for one-dimensional dual-fuel engine simulation, aiding in calibrating scaled-up DIDF CI engines and guiding further engine designs.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"325 ","pages":"Article 136181"},"PeriodicalIF":9.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848741","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}
EnergyPub Date : 2025-04-15DOI: 10.1016/j.energy.2025.136154
Irfan Ullah , Jianfeng Zheng , Muzaffar Iqbal , Muneer Ahmad , Arshad Jamal , Alessandro Severino
{"title":"Interpretive structural model for influential factors in electric vehicle charging station location","authors":"Irfan Ullah , Jianfeng Zheng , Muzaffar Iqbal , Muneer Ahmad , Arshad Jamal , Alessandro Severino","doi":"10.1016/j.energy.2025.136154","DOIUrl":"10.1016/j.energy.2025.136154","url":null,"abstract":"<div><div>Electric vehicles (EVs) are emerging as a pivotal solution for achieving sustainable and eco-friendly transportation. Integrating EVs into transport networks is crucial for fostering environmentally sustainable growth in smart cities, addressing carbon emissions, and reducing reliance on fossil fuels. With the increasing popularity of EVs, the demand for charging stations proliferates. However, selecting optimal locations for electric vehicle charging stations (EVCS) is a complex task that requires careful consideration of various factors. Existing studies have not adequately addressed these factors' intricate relationships and interdependencies. This study aims to fill this gap by employing interpretive structural modeling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) to analyze the influence factors and interactions between them. Based on a comprehensive literature review and expert input, we identify 18 key factors that influence EVCS. The result shows that proximity to EV drivers, strategic placement, integration with daily routines, timely availability, and EV ownership rates are the most influential and objective considerations. The established integrated structured model provides a valuable tool for understanding and optimizing the complex relationships among the identified factors, aiding in informed decision-making for EV charging station locations.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"325 ","pages":"Article 136154"},"PeriodicalIF":9.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850222","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}
EnergyPub Date : 2025-04-15DOI: 10.1016/j.energy.2025.136150
Fei Zeng , Ziyang Yang , Lei Luo , Wei Du , Han Yan , Xun Zhou
{"title":"Transient analysis of particle deposition characteristics in a highly loaded turbine cascade with varying blade profiles","authors":"Fei Zeng , Ziyang Yang , Lei Luo , Wei Du , Han Yan , Xun Zhou","doi":"10.1016/j.energy.2025.136150","DOIUrl":"10.1016/j.energy.2025.136150","url":null,"abstract":"<div><div>The particle deposition process on turbine blades has the potential to compromise the service life, aerodynamic efficiency, and cooling performance of the blades. In this paper, for the first-stage high-pressure turbine guide vane of an aeroengine, User-Defined Functions (UDF) and unsteady numerical simulation techniques are used to investigate the deposition characteristics of the cascade surface under different profile parameters. In this study, two variables, leading edge diameter and stagger angle of the cascade, are set to investigate the effect of the variation of both on the surface deposition distribution, the impact efficiency, the sticking efficiency, and the capture efficiency in the turbine cascades. The results show that the 7.5 cm and 9.5 cm leading edge diameter cascades show a decrease in sticking efficiency (by about 2.3 %) and a cut in deposition of 5.0 % compared to the 5.5 cm leading edge diameter cascade. Moreover, compared with the highest sticking efficiency of 29.75° stagger angle cascade, the sticking efficiency of 32.75° stagger angle cascade is reduced by 3.4 %, and the amount of deposition particles is reduced by 7.1 %. The results reflect the significant effect of leading edge diameter and stagger angle on particle deposition behavior.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"326 ","pages":"Article 136150"},"PeriodicalIF":9.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859962","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}