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Enhancing the energy conversion efficiency of dielectric elastomer generators via elastic energy storage and recovery 通过弹性能量储存和回收提高介电弹性体发电机的能量转换效率
IF 10.1 1区 工程技术
Applied Energy Pub Date : 2024-11-20 DOI: 10.1016/j.apenergy.2024.124854
Zhong Wang , Chao Tang , Yixin Wang , Liang Zhou , Xuguang Dong , Songwen Jiang , Yiyi Pan , Xin-Jun Liu , Huichan Zhao
{"title":"Enhancing the energy conversion efficiency of dielectric elastomer generators via elastic energy storage and recovery","authors":"Zhong Wang ,&nbsp;Chao Tang ,&nbsp;Yixin Wang ,&nbsp;Liang Zhou ,&nbsp;Xuguang Dong ,&nbsp;Songwen Jiang ,&nbsp;Yiyi Pan ,&nbsp;Xin-Jun Liu ,&nbsp;Huichan Zhao","doi":"10.1016/j.apenergy.2024.124854","DOIUrl":"10.1016/j.apenergy.2024.124854","url":null,"abstract":"<div><div>Small-scale wind energy harvesters have promising applications in driving low-power sensors, lighting, robots, and other appliances. However, traditional electromagnetic generators face challenges in small-size harvesters and at low frequencies. Dielectric elastomer generators (DEGs) can achieve energy harvesting under small deformation and have the potential for miniaturization. Inspired by the elastic energy storage and recovery mechanisms observed in biological tendons and muscles, we proposed a methodology to enhance the energy conversion efficiency of DEGs. By establishing an electro-mechanical model for calculating the energy flow during the energy harvesting process, we systematically investigated the principles of DEG energy harvesting under different situations and the role of elastic energy storage and recovery in improving efficiency. Building upon this theoretical foundation, we designed a small wind turbine with a 6 cm rotor diameter and achieved energy harvesting at a low wind speed of <span><math><mrow><mn>1</mn><mo>.</mo><mn>57</mn><mo>±</mo><mn>0</mn><mo>.</mo><mn>07</mn><mspace></mspace><mi>m/s</mi></mrow></math></span>.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"379 ","pages":"Article 124854"},"PeriodicalIF":10.1,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704634","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
Effective suppression for overshoot voltage of PEM electrolyzer by power supply 通过电源有效抑制 PEM 电解槽的过冲电压
IF 10.1 1区 工程技术
Applied Energy Pub Date : 2024-11-20 DOI: 10.1016/j.apenergy.2024.124941
Mingzhi He, Gongzhe Nie, Haoran Yang, Xiongzheng Wang, Shuhan Zhou, Xin Meng
{"title":"Effective suppression for overshoot voltage of PEM electrolyzer by power supply","authors":"Mingzhi He,&nbsp;Gongzhe Nie,&nbsp;Haoran Yang,&nbsp;Xiongzheng Wang,&nbsp;Shuhan Zhou,&nbsp;Xin Meng","doi":"10.1016/j.apenergy.2024.124941","DOIUrl":"10.1016/j.apenergy.2024.124941","url":null,"abstract":"<div><div>Renewable energy generation which inherently has intermittent and fluctuating characteristics, makes Proton Exchange Membrane (PEM) electrolyzers operate intermittently. Specially, the overshoot voltage phenomenon will be happened when the electrolyzer power increase rapidly to stable operate. This can cause the electrolyzer to operate overload, which reduce hydrogen production efficiency, increase power supply capacity and reduce its reliability. In this work, for suppressing overshoot voltage and protecting electrolyzer, the electrolyzer voltage is controlled through the power supply outputs a DC-biased voltage with a sine waveform. Comparing with the traditional protection scheme, the overshoot voltage is reduced by 17.5 % ∼ 30.5 % during low power operation. Noteworthily, the overshoot voltage is disappeared completely and the polarization voltage can be reduced by 7.6 % ∼ 13.5 % when the electrolyzer is in high power operation. Furthermore, the anode catalyst layer is characterized by the advanced characterization such as scanning electron microscopes (SEM), X-ray diffractometers (XRD), and micro-CT. It is found that the micrometer-scale pore collapse and the ion leaching will be suppressed by regulating electrolyzer voltage. Finally, through COMSOL Multiphysics simulations confirm that the reduction of pore diameter will increase the electrolyzer internal resistance and current distribution inhomogeneity which have a significant impact on the overshoot voltage behavior. Consequently, the research results provide a theoretical basis for designing a new generation of power supply-side electrolyzer protection schemes and membrane electrode.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"379 ","pages":"Article 124941"},"PeriodicalIF":10.1,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703946","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
Maintenance scheduling and vessel routing for offshore wind farms with multiple ports considering day-ahead wind-wave predictions 考虑日前风浪预测的多港口近海风电场维护调度和船舶航线安排
IF 10.1 1区 工程技术
Applied Energy Pub Date : 2024-11-19 DOI: 10.1016/j.apenergy.2024.124915
Guojin Si , Tangbin Xia , Dong Wang , Nagi Gebraeel , Ershun Pan , Lifeng Xi
{"title":"Maintenance scheduling and vessel routing for offshore wind farms with multiple ports considering day-ahead wind-wave predictions","authors":"Guojin Si ,&nbsp;Tangbin Xia ,&nbsp;Dong Wang ,&nbsp;Nagi Gebraeel ,&nbsp;Ershun Pan ,&nbsp;Lifeng Xi","doi":"10.1016/j.apenergy.2024.124915","DOIUrl":"10.1016/j.apenergy.2024.124915","url":null,"abstract":"<div><div>Wind power continues to be the fastest-growing source of renewable energy, with offshore wind development playing a crucial role globally. However, one significant challenge is the inadequate capacity of offshore wind ports, which may lead to delays in installation and maintenance plans. Existing operations and maintenance (OAM) frameworks generally overlook constraints imposed by limited port and vessel availability, focusing primarily on the effects of unrestricted resources on maintenance schedules. To address this issue, this article proposes a novel resource-centered maintenance strategy (RCMS) that incorporates the impact of various resource conditions on opportunistic maintenance scheduling and multi-type vessel routing. Unlike traditional health-centered maintenance strategies, the RCMS quantifies the opportunities emerging from dynamic wind speeds. By leveraging day-ahead predictions of wind speeds and wave heights, the port activation and the collaborative dispatching of multi-type vessels from different ports are optimized, ensuring timely maintenance execution while achieving flexible resource allocation. Accordingly, both the positive and negative impacts of resources (weather conditions, service vessels, and OAM ports) are considered. Experimental results show that for offshore wind farm clusters with multiple ports, the RCMS can reduce overall transportation costs by 74.6 %, 0.9 %, and 6.1 % compared to the easy-to-implement and two fixed port strategies.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"379 ","pages":"Article 124915"},"PeriodicalIF":10.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704633","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
Optimizing energy conversion in direct carbon fuel cells based on brown coal char: Exploring the impacts of scandium substituted La0.6Sr0.4FeO3-δ anodes 优化基于褐煤炭的直接碳燃料电池的能量转换:探索钪取代 La0.6Sr0.4FeO3-δ 阳极的影响
IF 10.1 1区 工程技术
Applied Energy Pub Date : 2024-11-19 DOI: 10.1016/j.apenergy.2024.124920
Senran Hao , Xiao Chen , Boyuan Liu , Hao Wu , Yingjie Zhang , Shuo Zhai , Idris Temitope Bello , Jie Xiao
{"title":"Optimizing energy conversion in direct carbon fuel cells based on brown coal char: Exploring the impacts of scandium substituted La0.6Sr0.4FeO3-δ anodes","authors":"Senran Hao ,&nbsp;Xiao Chen ,&nbsp;Boyuan Liu ,&nbsp;Hao Wu ,&nbsp;Yingjie Zhang ,&nbsp;Shuo Zhai ,&nbsp;Idris Temitope Bello ,&nbsp;Jie Xiao","doi":"10.1016/j.apenergy.2024.124920","DOIUrl":"10.1016/j.apenergy.2024.124920","url":null,"abstract":"<div><div>Direct coal fuel cells (DCFCs) convert the chemical energy in coal directly into electricity, but their development has been hindered by insufficiently active anode materials and slow carbon oxidation kinetics. This study explores the use of scandium-doped B-site-deficient La<sub>0.6</sub>Sr<sub>0.4</sub>FeO<sub>3-δ</sub> (LSFSc<sub>x</sub>, x = 0, 0.05, 0.10, 0.15) as anodes for brown coal char utilization in DCFCs. Our findings show that LSFSc<sub>x</sub> (x<span><math><mo>≠</mo><mn>0</mn></math></span>) anodes outperform the undoped LSF anode, with the LSFSc<sub>0.1</sub> anode exhibiting the best performance. At 850 °C, the LSFSc<sub>0.1</sub> anode achieves a maximum power density of 345.5 mW cm<sup>−2</sup>, a minimum polarization resistance of 0.18 Ω cm<sup>2</sup>, and an impressive discharge time of 13.23 h. These enhancements are attributed to scandium doping, which improves the three-phase reaction boundaries, enhances carbon oxidation through better oxide ion transport, and optimizes the electronic structure. Theoretical calculations indicate that scandium doping reduces the Bader charges of Fe atoms, weakens O<img>Fe bonds, lowers the oxygen vacancy formation energy, and maintains the electronic energy band structures. These results provide a new and effective pathway to improve the anode performance and efficiency of DCFCs, showcasing new possibilities for future research on scandium-based perovskite materials for DCFC applications.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"379 ","pages":"Article 124920"},"PeriodicalIF":10.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703950","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
Feasible low-carbon technological pathway: Sustainable development strategies in the vanadium titanium steel industry 可行的低碳技术途径:钒钛钢铁工业的可持续发展战略
IF 10.1 1区 工程技术
Applied Energy Pub Date : 2024-11-19 DOI: 10.1016/j.apenergy.2024.124919
Xianggang Zhang , Yuanhui Ding , Gongguo Liu , Jianshan Wang , Lingling Xie , Mengru Yang , Yulong Chang , Xia Jiang
{"title":"Feasible low-carbon technological pathway: Sustainable development strategies in the vanadium titanium steel industry","authors":"Xianggang Zhang ,&nbsp;Yuanhui Ding ,&nbsp;Gongguo Liu ,&nbsp;Jianshan Wang ,&nbsp;Lingling Xie ,&nbsp;Mengru Yang ,&nbsp;Yulong Chang ,&nbsp;Xia Jiang","doi":"10.1016/j.apenergy.2024.124919","DOIUrl":"10.1016/j.apenergy.2024.124919","url":null,"abstract":"<div><div>Steel is an important raw material for human development, and steel emissions are the world's largest source of industrial carbon emissions. Therefore, it is urgent to control carbon emissions in this field and formulate a low-carbon development pathway. However, most of the existing studies focus on the macro level of the steel industry, and there are few studies on industry segmentation. The vanadium titanium steel (VTS) sub-sector is a key area for low-carbon development of steel industry. Achieving carbon neutrality in this sector is crucial for meeting international climate goals. This research takes a leading VTS enterprise as the research object, using carbon accounting and life cycle assessment (LCA) to map emissions across the four sub-units and each smelting stage of the enterprise. The study introduces the LC<sup>2</sup>MVTS/FP-FB (Low carbon concept model of vanadium titanium steel/four pillars and five beams) framework, which integrates energy, resources, information, and carbon sequestration technology to advance towards carbon neutrality. Based on the conceptual model framework, a feasible low-carbon technology pathway for VTS industry is proposed. Additionally, the research evaluates the LC<sup>2</sup>MVTS/FP-FB model's reliability and accuracy through the carbon neutrality technology analytic hierarchy process and a fuzzy comprehensive evaluation, offering valuable insights for the VTS industry's sustainable transformation globally.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"379 ","pages":"Article 124919"},"PeriodicalIF":10.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703951","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 robust method of dual adaptive prediction for ship fuel consumption based on polymorphic particle swarm algorithm driven 基于多态粒子群算法驱动的船舶油耗双自适应性稳健预测方法
IF 10.1 1区 工程技术
Applied Energy Pub Date : 2024-11-19 DOI: 10.1016/j.apenergy.2024.124911
Tian Lan , Lianzhong Huang , Ranqi Ma , Kai Wang , Zhang Ruan , Jianyi Wu , Xiaowu Li , Li Chen
{"title":"A robust method of dual adaptive prediction for ship fuel consumption based on polymorphic particle swarm algorithm driven","authors":"Tian Lan ,&nbsp;Lianzhong Huang ,&nbsp;Ranqi Ma ,&nbsp;Kai Wang ,&nbsp;Zhang Ruan ,&nbsp;Jianyi Wu ,&nbsp;Xiaowu Li ,&nbsp;Li Chen","doi":"10.1016/j.apenergy.2024.124911","DOIUrl":"10.1016/j.apenergy.2024.124911","url":null,"abstract":"<div><div>Fuel consumption prediction plays an irreplaceable role in the assessment of ship emissions and energy efficiency optimization. However, in practical and diverse situations with different ship types, routes, and operating conditions, single-algorithm-based fuel consumption prediction models fail to operate effectively. Additionally, conventional fusion models that lack construction and optimization mechanisms also lack adaptability. To tackle this issue, this paper proposes a dual-adaptive prediction method. Initially, the Particle Swarm Optimization (PSO) algorithm is utilized to initialize each base-model. Next, the Binary Particle Swarm Optimization (BPSO) algorithm is employed to construct an adaptive Blending architecture. Finally, the Phasor Particle Swarm Optimization (PPSO) algorithm is used for adaptive cascaded optimization of the fusion model. Based on the aforementioned approach, the BPSO-Blending-PPSO model, which consistently maintains optimal performance, is constructed and validated using operational data from two ships. The results demonstrate that the BPSO-Blending-PPSO model reduces the RMSE value by 5.2886–46.7492 % compared to single-algorithm models, effectively adapting to various sailing conditions of different ships. This method not only provides a new perspective to improve the predictive accuracy and robustness of ship fuel consumption models but also exhibits good scalability by incorporating various novel prediction algorithms into the base-model pool.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"379 ","pages":"Article 124911"},"PeriodicalIF":10.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703952","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 clustering-based approach to scenario-driven planning for EV charging with autonomous mobile chargers 基于聚类的电动汽车自主移动充电器充电场景驱动规划方法
IF 10.1 1区 工程技术
Applied Energy Pub Date : 2024-11-19 DOI: 10.1016/j.apenergy.2024.124925
Khalil Gorgani Firouzjah, Jamal Ghasemi
{"title":"A clustering-based approach to scenario-driven planning for EV charging with autonomous mobile chargers","authors":"Khalil Gorgani Firouzjah,&nbsp;Jamal Ghasemi","doi":"10.1016/j.apenergy.2024.124925","DOIUrl":"10.1016/j.apenergy.2024.124925","url":null,"abstract":"<div><div>The main goal of this paper is long-term planning for electric vehicle (EV) charging infrastructure using autonomous mobile chargers (AMCs). The proposed method employs a clustering-based strategy to group EVs based on similar charging patterns, thereby reducing the number of scenarios and simplifying the planning problem. This reduces the number of possible scenarios and simplifies the planning problem. Each cluster then undergoes a short-term scheduling process to determine the optimal allocation of AMCs among its EVs. The program evaluates the probability of each scenario as well as the corresponding time results. Eventually, it formulates an ideal long-term strategy for the deployment and operation of AMC. This plan incorporates the concept of confidence level to address uncertainty in forecasting vehicle behavior and charging requirements. It ensures that the number and capacity of chargers are sufficient to meet system requirements at various confidence levels. The concept of confidence level strikes a balance between the cost of deploying mobile chargers and the risk of failing to satisfy the charging demand. This approach leads to optimal and reliable planning for EV charging infrastructure.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"379 ","pages":"Article 124925"},"PeriodicalIF":10.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703949","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
Bionic cooperative load frequency control in interconnected grids: A multi-agent deep Meta reinforcement learning approach 互联电网中的仿生合作负载频率控制:多代理深度元强化学习方法
IF 10.1 1区 工程技术
Applied Energy Pub Date : 2024-11-19 DOI: 10.1016/j.apenergy.2024.124906
Jiawen Li , Jichao Dai , Haoyang Cui
{"title":"Bionic cooperative load frequency control in interconnected grids: A multi-agent deep Meta reinforcement learning approach","authors":"Jiawen Li ,&nbsp;Jichao Dai ,&nbsp;Haoyang Cui","doi":"10.1016/j.apenergy.2024.124906","DOIUrl":"10.1016/j.apenergy.2024.124906","url":null,"abstract":"<div><div>In the interconnected power grid operating within a performance-based frequency regulation market, uncoordinated frequency control strategies and power fluctuations in interconnection lines can intensify conflicts of interest among grid operators, leading to frequent and severe frequency fluctuations. To address these challenges and enhance grid stability, the Squid-Inspired Cooperative Load Frequency Control (SC-LFC) method is proposed. This method mimics the distributed neural decision-making observed in squids, treating each unit within an area as an independent agent. In real-time applications, each unit independently collects local frequency and status information, thereby avoiding coordination failures due to inter-area communication delays or errors. To achieve efficient coordinated control across multiple objectives and regions in complex, random interconnected power grids, the Automatic Curriculum Multi-Agent Deep Meta Actor-Critic (ACMA-DMAC) algorithm is introduced. This approach employs a hybrid curriculum learning strategy, enabling gradual learning and adaptation, which enhances the robustness and efficiency of the SC-LFC strategy. Simulations based on a four-area load frequency control model of the China Southern Grid (CSG) validate the effectiveness and superior performance of the proposed method.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"379 ","pages":"Article 124906"},"PeriodicalIF":10.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703947","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
Life prediction of on-board supercapacitor energy storage system based on gate recurrent unit neural network using sparse monitoring data 基于门递归单元神经网络的车载超级电容器储能系统寿命预测(使用稀疏监测数据
IF 10.1 1区 工程技术
Applied Energy Pub Date : 2024-11-19 DOI: 10.1016/j.apenergy.2024.124917
Li Wei , Yu Wang , Tingrun Lin , Xuelin Huang , Rong Yan
{"title":"Life prediction of on-board supercapacitor energy storage system based on gate recurrent unit neural network using sparse monitoring data","authors":"Li Wei ,&nbsp;Yu Wang ,&nbsp;Tingrun Lin ,&nbsp;Xuelin Huang ,&nbsp;Rong Yan","doi":"10.1016/j.apenergy.2024.124917","DOIUrl":"10.1016/j.apenergy.2024.124917","url":null,"abstract":"<div><div>With the increasing use of supercapacitor in transportation and energy sectors, service life prediction becomes an important aspect to consider. As the aging process of onboard supercapacitors is closely related to practical working conditions, the actual service life may be inconsistent with the cycle life measured in the laboratory. However, the low-quality onboard monitoring data recording the historical working conditions is usually sparse and fragmented, making it difficult to extract valuable information. In our previous study, we successfully obtained the characteristic parameters from sparse and fragmented data, whereas those characteristic parameters change periodically and couldn't be used directly for life prediction. In this paper, we firstly extract the degradation trend term of supercapacitor by a composite sine and polynomial time series decomposition model from the characteristic parameters. Secondly, in order to make up for the lack of data, a GRU network is designed to generate more sample data which is in consistent with historical data evolution trends. The combination of input characteristic variables including the extracted historical characteristic capacitance <span><math><mi>C</mi></math></span>, temperature T and the time fitting sequences <span><math><mi>C</mi><mfenced><msub><mi>t</mi><mi>D</mi></msub></mfenced></math></span> are selected to improve the accuracy of GRU predictions. The predictive error of the characteristic capacitance <span><math><mi>C</mi></math></span> is 2.36 %. Finally, the life prediction of on-board supercapacitors based on actual working conditions is realized.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"379 ","pages":"Article 124917"},"PeriodicalIF":10.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704625","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
Two-stage service restoration of integrated electric and heating system with the support of mobile heat sources 在移动热源的支持下,对集成电力和供暖系统进行两阶段服务恢复
IF 10.1 1区 工程技术
Applied Energy Pub Date : 2024-11-19 DOI: 10.1016/j.apenergy.2024.124899
Han Shi , Yunyun Xie , Kai Hou , Sheng Cai , Hongjie Jia , Hao Wu , Jinsheng Sun
{"title":"Two-stage service restoration of integrated electric and heating system with the support of mobile heat sources","authors":"Han Shi ,&nbsp;Yunyun Xie ,&nbsp;Kai Hou ,&nbsp;Sheng Cai ,&nbsp;Hongjie Jia ,&nbsp;Hao Wu ,&nbsp;Jinsheng Sun","doi":"10.1016/j.apenergy.2024.124899","DOIUrl":"10.1016/j.apenergy.2024.124899","url":null,"abstract":"<div><div>Mobile heat sources (MHSs), including truck-mounted mobile electric boilers (MEBs) and mobile thermal energy storages (MTESs), are critical flexibility resources. However, these MHSs are currently under-utilized for multi-energy service restoration (SR) against natural disasters. To improve the flexibility and efficiency of service restoration (SR) strategies, this paper proposes an MHS-assisted SR method for distribution-level integrated electric and heating system (IEHS). The constraints for MHSs scheduling, involving energy conversion and spatial-temporal energy transfer, are modelled based on the interactive behavior between MHSs and IEHS. Considering the slow response speed of MHSs, a two-stage model is formulated, consisting of pre-SR and real-time SR stages. In the pre-SR stage, the locations of MHSs and absorbing/releasing behaviors of MTES are determined. In the real-time SR stage, multi-energy resources are re-dispatched to compensate the pre-SR strategies after the uncertainties realized. To address diverse uncertainties in the pre-SR stage, the stochastic programming (SP) is utilized, and an improved progressive hedging algorithm (PHA) is applied to reduce the computational burden caused by multiple scenarios in SP. Numerical results validate the effectiveness of MHSs in improving the flexibility of SR strategy and enhancing IEHS resilience.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"379 ","pages":"Article 124899"},"PeriodicalIF":10.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704635","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
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