Journal of Energy Engineering-asce最新文献

Performance Improvement of Proton Exchange Membrane Fuel Cell by Modified Flow Field Design 改进流场设计提高质子交换膜燃料电池性能

Journal of Energy Engineering-asce Pub Date : 2023-10-01 DOI: 10.1061/jleed9.eyeng-4863

Janaki Saminathan, Muthukumar Marappan, Senthil Kumar Angappamudaliar Palanisamy, Sivabalakrishnan Ramasamy

引用次数: 0

A Novel Adaptive Parallel Model with Knowledge-Aided Conversion Efficiency Assessment for Wind Turbine Condition Monitoring 风电机组状态监测的一种新的知识辅助转换效率评估自适应并联模型

Journal of Energy Engineering-asce Pub Date : 2023-08-01 DOI: 10.1061/jleed9.eyeng-4850

Hua Jing, Chunhui Zhao

{"title":"A Novel Adaptive Parallel Model with Knowledge-Aided Conversion Efficiency Assessment for Wind Turbine Condition Monitoring","authors":"Hua Jing, Chunhui Zhao","doi":"10.1061/jleed9.eyeng-4850","DOIUrl":"https://doi.org/10.1061/jleed9.eyeng-4850","url":null,"abstract":"Monitoring wind turbines is essential for their safe operation on wind farms. However, the majority of data-driven monitoring strategies do not consider expert knowledge. Consequently, they cannot simultaneously monitor statistical and physical characteristics and have poor monitoring results. This study proposes a knowledge-aided adaptive parallel monitoring strategy to monitor the process by evaluating the physical and statistical characteristics using two submodels. First, we propose a novel knowledge-aided monitoring statistic to characterize energy conversion efficiency, thus monitoring both the conversion efficiency using one of the submodels and the physical performance of the wind turbine. Subsequently, the process characteristics covering both steady and varying states can be monitored with another submodel using two monitoring statistics, which can accurately detect unusual behaviors from a statistical perspective. Generally, we can use three statistics to monitor the process from two perspectives. With the physical and statistical characteristics captured, we propose a novel adaptive monitoring strategy to adjust the model performance and accurately detect fault conditions. Real-world experiments demonstrate the effectiveness of the proposed method. Among the four monitoring methods, the monitoring strategy aided by knowledge showed the highest detection accuracy.","PeriodicalId":15695,"journal":{"name":"Journal of Energy Engineering-asce","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135717278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sliding Mode Control for Power Tracking of Proton-Exchange Membrane Fuel-Cell System 质子交换膜燃料电池系统功率跟踪的滑模控制

Journal of Energy Engineering-asce Pub Date : 2023-06-01 DOI: 10.1061/jleed9.eyeng-4734

Cheng Li, Hao Jing, Jianyao Hu, Guangdi Hu, Yuxiang Deng

引用次数: 0

Optimization of Energy Saving and Fuel-Cell Durability for Range-Extended Electric Vehicle 增程电动汽车节能与燃料电池耐久性优化

Journal of Energy Engineering-asce Pub Date : 2023-02-01 DOI: 10.1061/jleed9.eyeng-4559

Yan Sun, Changgao Xia, Jiangyi Han

{"title":"Optimization of Energy Saving and Fuel-Cell Durability for Range-Extended Electric Vehicle","authors":"Yan Sun, Changgao Xia, Jiangyi Han","doi":"10.1061/jleed9.eyeng-4559","DOIUrl":"https://doi.org/10.1061/jleed9.eyeng-4559","url":null,"abstract":"For a fuel cell range-extended electric vehicle (FC-REEV), the fuel cell system can work at a fixed output power point, and it has high durability. However, the differences in output power and start–stop threshold can lead to a significant difference in energy loss and degradation of power sources. Based on the thermostat control strategy (TCS), the state of charge (SOC) of the battery is stabilized within a reasonable range. To obtain the lowest hydrogen consumption rate, the vehicle’s fuel economy is considered in the evaluation function. The artificial bee colony (ABC) optimization algorithm is then used to increase the driving range, and the conventional ABC-TCS (CABC-TCS) is proposed. However, the CABC-TCS leads to many start–stop times for fuel cells. To enhance the durability of the fuel cells, a penalty factor was added to the evaluation function, and a novel optimized ABC-TCS (OABC-TCS) is proposed. Different strategies were tested under federal test procedure (FTP)-72 and worldwide light-duty test procedure (WLTC) driving cycles. The results show that, compared with TCS, the optimized driving range of OABC-TCS in FTP-72 and WLTC conditions increased almost 10.59% and 10.3%. Compared with CABC-TCS, the start–stop times of OABC-TCS in FTP-72 and WLTC conditions decreased by 27.55 and 46.47 times/h, respectively.","PeriodicalId":15695,"journal":{"name":"Journal of Energy Engineering-asce","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136097248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Risk-Based Framework to Improve a Distribution System’s Resilience against Earthquakes 一个基于风险的框架来提高配电系统的抗震能力

Journal of Energy Engineering-asce Pub Date : 2023-02-01 DOI: 10.1061/jleed9.eyeng-4586

Mohammad Hossein Oboudi, Mohammad Mohammadi, Dimitris N. Trakas, Nikos D. Hatziargyriou

{"title":"A Risk-Based Framework to Improve a Distribution System’s Resilience against Earthquakes","authors":"Mohammad Hossein Oboudi, Mohammad Mohammadi, Dimitris N. Trakas, Nikos D. Hatziargyriou","doi":"10.1061/jleed9.eyeng-4586","DOIUrl":"https://doi.org/10.1061/jleed9.eyeng-4586","url":null,"abstract":"Earthquakes and other natural disasters have caused significant damages to power systems, indicating the necessity to enhance power system resilience. This paper proposes a risk-based resilience enhancement framework against earthquakes that considers their stochastic nature. The proposed framework supports the decision-making of distribution system operators (DSOs) for retrofitting substation components and underground cables to enhance distribution system resilience. The framework consists of four phases, namely earthquake modeling, vulnerability assessment, risk assessment, and resilience enhancement. An attenuation relationship is used to model the earthquake characteristics. Vulnerability assessment includes the failure probability calculation of substation components and a fault-tree method application to examine the seismic vulnerability of the substation. Conditional value at risk (CVaR) is used to assess the seismic risk, and includes the estimation of repair cost and customer interruption cost due to the damage caused by the earthquake, as well as the power generation cost of the distributed energy resources (DERs) used to meet the demand locally. A modified risk reduction worth (RRW) metric is adopted to determine the optimal retrofitting strategy to enhance resilience. The proposed framework was applied to a real distribution substation to examine the effectiveness of substation component retrofitting for resilience enhancement.","PeriodicalId":15695,"journal":{"name":"Journal of Energy Engineering-asce","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135803519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Reviewers 评论家

Journal of Energy Engineering-asce Pub Date : 2023-02-01 DOI: 10.1061/(asce)ey.1943-7897.0000878

引用次数: 0

Potential of Di-n-Butyl Ether as an Alternative Fuel for Compression Ignition Engines with Different EGR Rates and Injection Pressure 二正丁基醚作为不同EGR和喷射压力下压缩点火发动机替代燃料的潜力

Journal of Energy Engineering-asce Pub Date : 2021-12-01 DOI: 10.1061/(ASCE)EY.1943-7897.0000790

Changkun Wu, Yuke Wang, Hailang Sang, Haozhong Huang, Qiwei Wang, Mingzhang Pan

引用次数: 4

Combustion Interactions of Blended Chars under Oxidation and Gasification Competition in Oxy–Fuel Condition 混合焦炭在全氧条件下氧化和气化竞争下的燃烧相互作用

Journal of Energy Engineering-asce Pub Date : 2021-12-01 DOI: 10.1061/(ASCE)EY.1943-7897.0000791

M. Lun, Xinke Chen, Qingyan Fang, Cheng Zhang, Gang Chen, Ji Xia

引用次数: 2

Experimental Study on the Distribution of Temperature and Deformation in the Water Walls of an Opposed Firing Boiler under Variable Load Conditions 变负荷条件下对烧锅炉水壁温度与变形分布的实验研究

Journal of Energy Engineering-asce Pub Date : 2021-12-01 DOI: 10.1061/(ASCE)EY.1943-7897.0000785

Lin Wei, Qulan Zhou, Zhuhan Liu, Na Li, Lian Li, Qinlan Luo

引用次数: 1

Hybrid System of Air-Breathing PEM Fuel Cells/Supercapacitors for Light Electric Vehicles: Modeling and Simulation 轻型电动车吸气式PEM燃料电池/超级电容器混合系统:建模与仿真

Journal of Energy Engineering-asce Pub Date : 2021-10-01 DOI: 10.1061/(ASCE)EY.1943-7897.0000787

T. Yalcinoz

引用次数: 0