Energy Conversion and Management最新文献_第10页

Exergo-environmental cost optimization of a wind-solar integrated tri-generation system through heterogeneous energy storage and carbon trading mechanisms 基于异质储能和碳交易机制的风能-太阳能一体化三电系统的环境成本优化

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-18 DOI: 10.1016/j.enconman.2025.119741

Yuzhu Chen , Kaifeng Yang , Weimin Guo , Na Du , Kun Yang , Tianhu Zhang , Liying Qi , Peter D. Lund

{"title":"Exergo-environmental cost optimization of a wind-solar integrated tri-generation system through heterogeneous energy storage and carbon trading mechanisms","authors":"Yuzhu Chen , Kaifeng Yang , Weimin Guo , Na Du , Kun Yang , Tianhu Zhang , Liying Qi , Peter D. Lund","doi":"10.1016/j.enconman.2025.119741","DOIUrl":"10.1016/j.enconman.2025.119741","url":null,"abstract":"<div><div>Global energy consumption is increasing due to rising living standards and industrial growth, leading to an escalating demand for clean energy sources. However, the inherent volatility of renewable energy coupled with fluctuating demand presents substantial challenges to system stability. To achieve energy balance between the system and users while enhancing the integration of wind and solar resources, a solar-wind-gas coupling tri-generation system is constructed that incorporates diverse energy storage solutions, including thermal, gas, electrical, and hydrogen storages. To identify optimal dispatch schedules for these devices, an exergo-environmental cost approach is employed aiming to minimize operational costs of energy products while factoring in ladder carbon trading. Results indicate that the scenario integrating wind turbines and photovoltaic/thermal units yields the best performance, with a carbon cost of $124.6, zero power cost, and the lowest specific cost per kWh at $0.029. Sensitivity analysis indicates that higher carbon pricing encourages the use of lower carbon-intensive energy sources, which leads to reduced natural gas costs but an increase in specific exergo-environmental costs. This study underscores the potential of combining renewable technologies with heterogeneous energy storage systems to optimize exergo-environmental cost performance.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119741"},"PeriodicalIF":9.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642900","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

Comparative study of different engine knock metrics for bracketing the octane number of fuels 不同发动机爆震指标对燃油辛烷值划分的比较研究

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-18 DOI: 10.1016/j.enconman.2025.119744

Xinyang Wang , Kalim Uddeen , Tawfik Badawy , Mebin Samuel Panithasan , Jie Hu , Arjun B. Narayanamurthy , James W.G. Turner

{"title":"Comparative study of different engine knock metrics for bracketing the octane number of fuels","authors":"Xinyang Wang , Kalim Uddeen , Tawfik Badawy , Mebin Samuel Panithasan , Jie Hu , Arjun B. Narayanamurthy , James W.G. Turner","doi":"10.1016/j.enconman.2025.119744","DOIUrl":"10.1016/j.enconman.2025.119744","url":null,"abstract":"<div><div>This study presents a comparative analysis of different engine knock metrics used to evaluate the octane number (ON) of fuels in a Cooperative Fuel Research (CFR) engine. The knock metrics examined include knock intensity 20 (KI20), the maximum amplitude of pressure oscillations (MAPO), the maximum pressure rise rate (MPRR), the cumulative knock intensity (CKI), and the wavelet decomposition energy (WDE). Modified versions of standard CFR engine tests were conducted using both liquid and gaseous fuels, covering a range of research octane number (RON) from 60 to 100. The knock data were collected using both a detonation meter and an in-cylinder pressure transducer to compare traditional and pressure-based knock measurement methods. Results indicate that of the metrics investigated, MPRR is the most effective for bracketing octane numbers, showing higher validity and a closer resemblance to knockmeter readings compared to the others analyzed. Furthermore, the study explores the knock resistance of hydrogen, revealing discrepancies with standard RON evaluations. The findings of this work indicates that hydrogen’s RON, evaluated based on MPRR, falls within the range of 98–100. The results provide valuable insights for improving knock measurement accuracy, especially when evaluating fuels with high knock resistance, and for optimizing modern engine designs to meet emerging fuel standards.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119744"},"PeriodicalIF":9.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642999","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

Modelling of biomass gasification for fluidized bed in Aspen Plus: Using machine learning for fast pyrolysis prediction 生物质气化在Aspen Plus流化床的建模：使用机器学习快速热解预测

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-18 DOI: 10.1016/j.enconman.2025.119695

Hao Shi, Yaji Huang, Yizhuo Qiu, Jun Zhang, Zhiyuan Li, Huikang Song, Tianhang Tang, Yixuan Xiao, Hao Liu

{"title":"Modelling of biomass gasification for fluidized bed in Aspen Plus: Using machine learning for fast pyrolysis prediction","authors":"Hao Shi, Yaji Huang, Yizhuo Qiu, Jun Zhang, Zhiyuan Li, Huikang Song, Tianhang Tang, Yixuan Xiao, Hao Liu","doi":"10.1016/j.enconman.2025.119695","DOIUrl":"10.1016/j.enconman.2025.119695","url":null,"abstract":"<div><div>The potential offered by biomass to upgrade into more valuable products via gasification is now being widely recognized globally. Due to difference of pyrolysis conditions, conventional Aspen modelling is challenged for bubbling fluidized bed(BFB) biomass gasification. In this work, a novel approach is developed for Aspen biomass gasification in BFB, combined with machine learning. Machine learning is utilized for biomass fast pyrolysis char and gas prediction. A sub-model for pyrolysis products evolution lumping equilibrium is then established via element balance calculation for predicted fast pyrolysis products compositions. Subsequent gasification in gasifier is controlled kinetically. Evaluation and discussion have been carried out on the method feasibility and precision of gasification products prediction in current model. Comparative analysis with six sets of experimental data reveals that most relative errors of syngas composition are controlled within ± 20 %, with half of them falling within ± 10 %. New model demonstrates satisfying accuracy and adaptability for different feedstock, attributed to application of machine learning in fast pyrolysis products prediction. Sensitivity analysis confirms current model’s capability to simulate trends of syngas compositions under varying gasification conditions correctly. Modules contribution analysis indicates that further promotion of accuracy can be achieved by refining tar cracking prediction and element equilibrium. Through present method, modelling for feedstock whose pyrolysis kinetics are unknown is not limited to thermodynamic equilibrium and can obtain higher accuracy and feedstock scalability. It provides original insight for more reasonable Aspen modelling and comprehensive usage of Aspen-machine learning combination.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119695"},"PeriodicalIF":9.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643397","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

Floating solar wireless power transfer system for electric ships: Design and laboratory tests 电动船舶用浮动太阳能无线传输系统：设计和实验室试验

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-17 DOI: 10.1016/j.enconman.2025.119738

Khalifa Aliyu Ibrahim , Timothé Le Maréchal , Patrick Luk , Qing Qin , Luofeng Huang , Ying Xie , Patrick Verdin , Zhenhua Luo

{"title":"Floating solar wireless power transfer system for electric ships: Design and laboratory tests","authors":"Khalifa Aliyu Ibrahim , Timothé Le Maréchal , Patrick Luk , Qing Qin , Luofeng Huang , Ying Xie , Patrick Verdin , Zhenhua Luo","doi":"10.1016/j.enconman.2025.119738","DOIUrl":"10.1016/j.enconman.2025.119738","url":null,"abstract":"<div><div>The maritime industry is under increasing pressure to decarbonise, presenting an important pathway of transforming the power systems from conventional marine fuels to electric-based. This study proposes an innovative solution to support maritime decarbonisation through the integration of a floating solar clean energy harnessing and wireless power transfer (WPT) technology for electric vessels. The paper presents the design and experimental tests of the integrated system specifically, based on a model of an electric yacht. This study provides an in-depth analysis of application of floating solar to provides an off-grid wireless power transfer system that can scale for larger vessels such as ferries. The off-grid modularity proposed enables scalable, flexible, and sustainable energy delivery for maritime applications and decarbonisation with specific attention to challenges in WPT alignment and environmental condition. Simulations using ANSYS Maxwell were performed to model the magnetic field interactions and ascertain the optimal power transfer efficiency. Subsequently, a reduced-scale prototype system was designed, built and tested in a wave tank. The experimental results demonstrated efficient wireless charging with an average efficiency of 82 %, and the docking system proved effective in maintaining alignment even when the ship has wave-induced motions. The findings support the feasibility of using floating solar WPT systems for maritime vessels and pave the way to larger-scale studies.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119738"},"PeriodicalIF":9.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel, fast, physics-based, and efficient design method for radial turbine rotors 一种新颖、快速、基于物理的高效径向涡轮转子设计方法

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-17 DOI: 10.1016/j.enconman.2025.119664

Ali Nasseri Pour Yazdi, Ali Hajilouy Benisi, Mehrdad T. Manzari

{"title":"A novel, fast, physics-based, and efficient design method for radial turbine rotors","authors":"Ali Nasseri Pour Yazdi, Ali Hajilouy Benisi, Mehrdad T. Manzari","doi":"10.1016/j.enconman.2025.119664","DOIUrl":"10.1016/j.enconman.2025.119664","url":null,"abstract":"<div><div>Wide range of radial turbine applications with often severe constrained working conditions necessitates an efficient design tool. With a novel method of this research, radial turbine rotor is designed based on relating multi-directional flow accelerations and rotor geometrical features. In rotor meridian plane, flow accelerations in streamwise and spanwise directions are determined by variations of the passage width and hub and shroud radii of curvatures, respectively. Three functions of these geometrical features are defined and a weighted summation of them is selected to obtain exact coordinates of two 2D curves for meridian passage hub and shroud. Next, circumferential coordinates are specified for meridian passage 2D contours which gives blade hub and shroud 3D curves. The ratio of circumferential deviation to radius change is adjusted for controlling two different work transfer mechanisms of the blade. By this simple and fast design method, flow acceleration and work transfer mechanisms of the rotor are governed by only four design parameters. The design procedure is employed for upgrading performance of GT-4082 turbocharger turbine rotor. The best case, within ten new design iterations, shows 1.5 % improvement of total to static efficiency at design point and all off-design conditions with U/C<sub>s</sub> < 0.7. The detailed flow field investigations show mildly accelerating flow throughout the rotor passage at design point which reduces entropy generation of boundary layer and tip leakage, by 26.8 %, 8.5 %, respectively; along with 11.9 % lower exit kinetic energy. The same trend of blade loading and entropy generation is observed at off-design conditions. These achievements are considerable and valuable.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119664"},"PeriodicalIF":9.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637429","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 process design methodology for power cycle: From ideal heat matching to actual structures 用于功率循环的新型工艺设计方法：从理想热匹配到实际结构

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-17 DOI: 10.1016/j.enconman.2025.119732

Jingyu Wang , Yiwei Yin , Ligeng Li , Xuanang Zhang , Hua Tian , Gequn Shu

{"title":"A novel process design methodology for power cycle: From ideal heat matching to actual structures","authors":"Jingyu Wang , Yiwei Yin , Ligeng Li , Xuanang Zhang , Hua Tian , Gequn Shu","doi":"10.1016/j.enconman.2025.119732","DOIUrl":"10.1016/j.enconman.2025.119732","url":null,"abstract":"<div><div>The power cycle is one of the most essential thermal-to-power systems and involves various working fluids and heat sources. This work proposes a novel three-stage process design methodology for the power cycle, encompassing performance optimization, operating condition optimization, and structural design. The first and second stages optimize the performance and operating conditions without structural constraints, representing an ideal cycle design. The third stage performs the structural design based on the optimal operating conditions determined in the previous stages. This stage employs a white-box model with a well-defined thermodynamic process. In this work, the method is applied to the case studies of single-pressure cycles and complex dual-pressure cycles. The net power output of the carbon dioxide transcritical power cycle was further improved by 5.07 % using this method. The single- and dual-pressure ammonia power cycles further increase the net power output by 51.51 % and 61.01 %, respectively, under the same heat source. The proposed method can optimize the operating conditions for the power cycle and design the optimal cycle structure under various operating conditions, providing a novel approach for the research and development of control strategies for variable cycle structures. Additionally, this method is highly generalized, allowing for easy modification of heat sources and working fluids without additional codes. This methodology avoids empirical selection, repetitive cycle structure modeling, and performance limitations with fixed cycle structures. Consequently, this work provides a rapid solution for customizing power cycles.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119732"},"PeriodicalIF":9.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637430","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

Chance constrained optimal sizing of a hybrid PV/battery/hydrogen isolated microgrid: A life-cycle analysis 光伏/电池/氢隔离混合微电网的机会约束优化规模：生命周期分析

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-15 DOI: 10.1016/j.enconman.2025.119707

Ahmed R. El Shamy, Prince Aduama, Ameena S. Al-Sumaiti

{"title":"Chance constrained optimal sizing of a hybrid PV/battery/hydrogen isolated microgrid: A life-cycle analysis","authors":"Ahmed R. El Shamy, Prince Aduama, Ameena S. Al-Sumaiti","doi":"10.1016/j.enconman.2025.119707","DOIUrl":"10.1016/j.enconman.2025.119707","url":null,"abstract":"<div><div>Isolated microgrids offer a great potential for capturing advancements in renewable energy sources (RES) and storage technologies. Prospects for such systems include industrial, commercial, and residential areas, where grid connection is not possible or not economical. Planning isolated microgrids must be accurate, such that it preserves system security and avoids resource oversizing. This paper introduces a microgrid, composed of multiple storage components and a solar PV system, with the goal to optimally size the PV plant, battery capacity, fuel cell rating, electrolyzer rating and hydrogen tank size to match the load demand and reduce the life cycle cost of the entire system. A PV plant is used as the main energy source, while battery and hydrogen storage systems provide the maneuvering needed for covering the periods of sun absence. To accommodate PV and load uncertainties due to weather conditions, a chance constrained (CC) optimal sizing mixed integer linear programming (MILP) problem is formulated. CC optimization provides a great window for stochasticity inclusion and sizing based on criticality level of application. To prove the fidelity of the results, the system is required to achieve at least 80 % success of 100 different scenarios generated for the modeled system. The results show the capacities of the various components needed to meet the load requirements of a microgrid with a PV source, hydrogen storage system and a battery energy storage system. The total life cycle cost of the system for a period of 25 years is found to be US$1.221 m.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119707"},"PeriodicalIF":9.9,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143627818","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

Comparison of equilibrium-based and kinetics-based models for evaluating the impact of hydrogen carrier reforming on SOFC system 氢载体重整对SOFC体系影响的平衡模型与动力学模型比较

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-15 DOI: 10.1016/j.enconman.2025.119733

Clyde-Theodore N. Batista , Kazeem Ayodeji Mohammed , Amirpiran Amiri , Neda Azimi , Robert Steinberger-Wilckens

{"title":"Comparison of equilibrium-based and kinetics-based models for evaluating the impact of hydrogen carrier reforming on SOFC system","authors":"Clyde-Theodore N. Batista , Kazeem Ayodeji Mohammed , Amirpiran Amiri , Neda Azimi , Robert Steinberger-Wilckens","doi":"10.1016/j.enconman.2025.119733","DOIUrl":"10.1016/j.enconman.2025.119733","url":null,"abstract":"<div><div>This paper evaluates the computational risks of using Equilibrium-Based Models (EBMs) and Kinetics-Based Models (KBMs) interchangeably for simulating the external reformer in Solid Oxide Fuel Cell (SOFC) Balance of Plant (BoP). Various reforming processes, including steam reforming, partial oxidation, and autothermal reforming of hydrocarbons are assessed. The study systematically investigates the effect of reformers operating parameters, such as temperature, pressure, steam-to-carbon ratio, and oxygen-to-carbon ratio, on SOFC performance captured by EBM and KBM. In contrast to EBM, the KBM consistently provided a more detailed and accurate measures of system behaviour. This is more evident, especially under conditions where reaction kinetics play a crucial role, such as in high-pressure scenarios or significant variations in the steam-to-carbon ratio. The KBM captured the details of reaction kinetics and mass transfer limitations that the EBM, with its inherent assumption of near-instantaneous equilibrium, could not fully replicate. While EBM is computationally effective for minimising modelling complexity/time at the system level, it has limitations in scenarios that require detailed reaction kinetics due to the nature of reaction or fuel mixture. EBM and KBM results deviations are quantified to identify regions where these risks are either significant or tolerable.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119733"},"PeriodicalIF":9.9,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143627723","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

Quantum machine learning based wind turbine condition monitoring: State of the art and future prospects 基于量子机器学习的风力涡轮机状态监测：技术现状与未来展望

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-15 DOI: 10.1016/j.enconman.2025.119694

Zhefeng Zhang, Yueqi Wu, Xiandong Ma

{"title":"Quantum machine learning based wind turbine condition monitoring: State of the art and future prospects","authors":"Zhefeng Zhang, Yueqi Wu, Xiandong Ma","doi":"10.1016/j.enconman.2025.119694","DOIUrl":"10.1016/j.enconman.2025.119694","url":null,"abstract":"<div><div>Wind energy, as a popular renewable resource, has gained extensive development and application in recent decades. Effective condition monitoring and fault diagnosis are crucial for ensuring the reliable operation of wind turbines. While conventional machine learning methods have been widely used in wind turbine condition monitoring, these approaches often face challenges such as complex feature extraction, limited model generalization, and high computational costs when dealing with large-scale, high-dimensional, and complex datasets. The emergence of quantum computing has opened up a new paradigm of machine learning algorithms. Quantum machine learning combines the advantages of quantum computing and machine learning, with the potential to surpass classical computational capabilities. This paper firstly reviews applications and limitations of the state-of-the-art machine learning-based condition monitoring techniques for wind turbines. It then reviews the fundamentals of quantum computing, quantum machine learning algorithms and their applications, covering quantum-based feature extraction, classification and regression for fault detection and the use of quantum neural networks for predictive maintenance. Through comparison, it is observed that quantum machine learning methods, even without extensive optimization, can achieve accuracy levels comparable to those of optimized conventional machine learning approaches. The challenges of applying quantum machine learning are also addressed, along with the future research and development prospects. The objective of this review is to fill a gap in the published literature by providing a new paradigm approach for wind turbine condition monitoring. By promoting quantum machine learning in this field, the reliability and efficiency of wind power systems are ultimately sought to be enhanced.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119694"},"PeriodicalIF":9.9,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629934","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

Proposal and analysis of an energy storage system integrated hydrogen energy storage and Carnot battery 氢储能与卡诺电池集成储能系统的设计与分析

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-14 DOI: 10.1016/j.enconman.2025.119734

Ju Guan , Wei Han , Qibin Liu , Fan Jiao , Wenjing Ma

{"title":"Proposal and analysis of an energy storage system integrated hydrogen energy storage and Carnot battery","authors":"Ju Guan , Wei Han , Qibin Liu , Fan Jiao , Wenjing Ma","doi":"10.1016/j.enconman.2025.119734","DOIUrl":"10.1016/j.enconman.2025.119734","url":null,"abstract":"<div><div>As renewable energy capacity continues to surge, the volatility and intermittency of its generation poses a mismatch between supply and demand when aligned with the fluctuating user load. Consequently, there’s a pressing need for the development of large-scale, high-efficiency, rapid-response, long-duration energy storage system. This study presents a novel integrated energy storage system combining hydrogen energy storage and Carnot battery. Carnot battery serves as the base load for stable, large-scale energy storage, while hydrogen energy storage (PEMEC and SOFC) serves as the regulated load to flexibly absorbs excess renewable electricity and responds promptly to user demand. The integrated system also effectively leverages high-temperature waste from the SOFC to boost Carnot battery’s round-trip efficiency (RTE), enhancing overall system RTE. Energy and exergy analyses are conducted for both the proposed system and a reference system. Results indicate that the proposed system achieves an overall RTE of 57.48% and an RTE of 71.98% for the Carnot Battery, improvements of 5.71% and 11.32%, respectively, compared to the reference system. The mechanisms underlying the efficiency improvements are analyzed, and the impact of capacity allocation between hydrogen storage and the Carnot battery on overall system performance is explored.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119734"},"PeriodicalIF":9.9,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620085","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