International Journal of Green Energy最新文献

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Application of template method in fabricating ordered gas diffusion layer of PEMFC 模板法在制造 PEMFC 有序气体扩散层中的应用
IF 3.3 4区 工程技术
International Journal of Green Energy Pub Date : 2024-03-21 DOI: 10.1080/15435075.2024.2332315
Wang Zhe, Kang Wang, Kui Jiao, Qing Du, Zhijun Peng, Fuqiang Bai, Zhi Liu
{"title":"Application of template method in fabricating ordered gas diffusion layer of PEMFC","authors":"Wang Zhe, Kang Wang, Kui Jiao, Qing Du, Zhijun Peng, Fuqiang Bai, Zhi Liu","doi":"10.1080/15435075.2024.2332315","DOIUrl":"https://doi.org/10.1080/15435075.2024.2332315","url":null,"abstract":"As a core component of proton exchange membrane fuel cell (PEMFC), gas diffusion layer (GDL) takes an important role in the migration of gas, liquid, heat, and electrons. Optimizing GDL microstruct...","PeriodicalId":14000,"journal":{"name":"International Journal of Green Energy","volume":"27 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140198012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Using perovskite solar cells with tunable bandgaps for beam-splitting photovoltaic-thermal System 将带隙可调的过氧化物太阳能电池用于分光光伏热系统
IF 3.3 4区 工程技术
International Journal of Green Energy Pub Date : 2024-03-21 DOI: 10.1080/15435075.2024.2332338
Yu Gao, Lei Tang, Hui Zhou, Yanguo Zhang, Zhongchao Tan, Qinghai Li
{"title":"Using perovskite solar cells with tunable bandgaps for beam-splitting photovoltaic-thermal System","authors":"Yu Gao, Lei Tang, Hui Zhou, Yanguo Zhang, Zhongchao Tan, Qinghai Li","doi":"10.1080/15435075.2024.2332338","DOIUrl":"https://doi.org/10.1080/15435075.2024.2332338","url":null,"abstract":"The beam-splitting PV-T system has great potential for solar energy production. However, few studies have been conducted on hybrid systems featuring the newly emerging perovskite solar cells. This ...","PeriodicalId":14000,"journal":{"name":"International Journal of Green Energy","volume":"3 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140198103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Bilevel planning of electric vehicle charging station and battery swapping station considering real-time uncertainty 考虑实时不确定性的电动汽车充电站和电池更换站双层规划
IF 3.3 4区 工程技术
International Journal of Green Energy Pub Date : 2024-03-17 DOI: 10.1080/15435075.2024.2326063
Manoj Saha, Sidhartha Sankar Thakur, Aniruddha Bhattacharya
{"title":"Bilevel planning of electric vehicle charging station and battery swapping station considering real-time uncertainty","authors":"Manoj Saha, Sidhartha Sankar Thakur, Aniruddha Bhattacharya","doi":"10.1080/15435075.2024.2326063","DOIUrl":"https://doi.org/10.1080/15435075.2024.2326063","url":null,"abstract":"The placement of electric vehicle charging stations (EVCS) and battery swapping stations (BSS) is crucial to meet demand while minimizing their impact on the power system network. This article addr...","PeriodicalId":14000,"journal":{"name":"International Journal of Green Energy","volume":"19 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140165360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 hybrid neural network based solar PV power classification with time series data for bend, Oregon 基于混合神经网络的太阳能光伏发电分类,时间序列数据适用于俄勒冈州弯道地区
IF 3.3 4区 工程技术
International Journal of Green Energy Pub Date : 2024-03-17 DOI: 10.1080/15435075.2024.2326074
Sasmita Choudhury, Pradipta Kishore Dash
{"title":"A hybrid neural network based solar PV power classification with time series data for bend, Oregon","authors":"Sasmita Choudhury, Pradipta Kishore Dash","doi":"10.1080/15435075.2024.2326074","DOIUrl":"https://doi.org/10.1080/15435075.2024.2326074","url":null,"abstract":"Photovoltaic (PV) power classification model has become a significant alternative to PV power point forecasting model in which classes of future PV powers are estimated. In this work, a novel PV po...","PeriodicalId":14000,"journal":{"name":"International Journal of Green Energy","volume":"53 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140165354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 Bagged-CNN architecture for short-term wind power forecasting 用于短期风电预测的新型袋状网络架构
IF 3.3 4区 工程技术
International Journal of Green Energy Pub Date : 2024-03-14 DOI: 10.1080/15435075.2024.2326052
Sachin Mulewa, Azan Parmar, Ashoke De
{"title":"A novel Bagged-CNN architecture for short-term wind power forecasting","authors":"Sachin Mulewa, Azan Parmar, Ashoke De","doi":"10.1080/15435075.2024.2326052","DOIUrl":"https://doi.org/10.1080/15435075.2024.2326052","url":null,"abstract":"Wind power forecasting plays a pivotal role in ensuring the dependable integration of wind energy into power grids. This research introduces a novel Bagged-CNN architecture tailored for short-term ...","PeriodicalId":14000,"journal":{"name":"International Journal of Green Energy","volume":"11 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140148794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches 通过实施易用的机器学习方法,改进对各种生物质来源的生物炭产量的预测
IF 3.3 4区 工程技术
International Journal of Green Energy Pub Date : 2024-03-14 DOI: 10.1080/15435075.2024.2326076
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, Huu Son Le, Dao Nam Cao, Marek Dzida, Sameh M. Osman, Huu Cuong Le, Viet Dung Tran
{"title":"Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches","authors":"Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, Huu Son Le, Dao Nam Cao, Marek Dzida, Sameh M. Osman, Huu Cuong Le, Viet Dung Tran","doi":"10.1080/15435075.2024.2326076","DOIUrl":"https://doi.org/10.1080/15435075.2024.2326076","url":null,"abstract":"Examining the game-changing possibilities of explainable machine learning techniques, this study explores the fast-growing area of biochar production prediction. The paper demonstrates how recent a...","PeriodicalId":14000,"journal":{"name":"International Journal of Green Energy","volume":"38 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140148859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Wind farm optimization by active yaw control strategy using machine learning approach 利用机器学习方法,通过主动偏航控制策略优化风电场
IF 3.3 4区 工程技术
International Journal of Green Energy Pub Date : 2024-03-10 DOI: 10.1080/15435075.2024.2322972
Tarique Anwar Qureshi, Vilas Warudkar
{"title":"Wind farm optimization by active yaw control strategy using machine learning approach","authors":"Tarique Anwar Qureshi, Vilas Warudkar","doi":"10.1080/15435075.2024.2322972","DOIUrl":"https://doi.org/10.1080/15435075.2024.2322972","url":null,"abstract":"Recent advancements in wind farm (WF) construction have prompted designers to focus on optimizing WF performance and minimizing the negative effect of wake interference on power output. One proven ...","PeriodicalId":14000,"journal":{"name":"International Journal of Green Energy","volume":"3 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140117533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
An energy management strategy for fuel cell hybrid electric vehicle based on a real-time model predictive control and pontryagin’s maximum principle 基于实时模型预测控制和庞特里亚金最大原则的燃料电池混合动力电动汽车能量管理策略
IF 3.3 4区 工程技术
International Journal of Green Energy Pub Date : 2024-03-10 DOI: 10.1080/15435075.2024.2322973
Haiyu Gao, Bifeng Yin, Yixiao Pei, Hao Gu, Sheng Xu, Fei Dong
{"title":"An energy management strategy for fuel cell hybrid electric vehicle based on a real-time model predictive control and pontryagin’s maximum principle","authors":"Haiyu Gao, Bifeng Yin, Yixiao Pei, Hao Gu, Sheng Xu, Fei Dong","doi":"10.1080/15435075.2024.2322973","DOIUrl":"https://doi.org/10.1080/15435075.2024.2322973","url":null,"abstract":"In order to maintain the battery SOC, the fuel cell power will fluctuate dramatically, as well as frequent start-stop, which will greatly increase the life attenuation of the fuel cell and reduce t...","PeriodicalId":14000,"journal":{"name":"International Journal of Green Energy","volume":"8 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140100221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Advancements in EV international standards: Charging, safety and grid integration with challenges and impacts 电动汽车国际标准的进展:充电、安全和电网集成的挑战与影响
IF 3.3 4区 工程技术
International Journal of Green Energy Pub Date : 2024-03-07 DOI: 10.1080/15435075.2024.2323649
Gaurav Kumar, Suresh Mikkili
{"title":"Advancements in EV international standards: Charging, safety and grid integration with challenges and impacts","authors":"Gaurav Kumar, Suresh Mikkili","doi":"10.1080/15435075.2024.2323649","DOIUrl":"https://doi.org/10.1080/15435075.2024.2323649","url":null,"abstract":"Electric Vehicle (EV) standardization is of paramount importance in the rapidly evolving automotive landscape, playing a pivotal role in ensuring interoperability, safety, and global harmonization....","PeriodicalId":14000,"journal":{"name":"International Journal of Green Energy","volume":"67 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140076108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Fast reconstruction of boiler numerical physical field based on proper orthogonal decomposition and conditional deep convolutional generative adversarial networks 基于适当正交分解和条件深度卷积生成对抗网络的锅炉数值物理场快速重建技术
IF 3.3 4区 工程技术
International Journal of Green Energy Pub Date : 2024-03-03 DOI: 10.1080/15435075.2024.2322976
Jiajian Long, Meirong Dong, Jieheng Zhou, Youcai Liang, Jidong Lu
{"title":"Fast reconstruction of boiler numerical physical field based on proper orthogonal decomposition and conditional deep convolutional generative adversarial networks","authors":"Jiajian Long, Meirong Dong, Jieheng Zhou, Youcai Liang, Jidong Lu","doi":"10.1080/15435075.2024.2322976","DOIUrl":"https://doi.org/10.1080/15435075.2024.2322976","url":null,"abstract":"Obtaining real-time physical field data inside the boiler furnace is crucial for combustion diagnostics and optimization. In this work, we propose a fast reconstruction technique for the physical f...","PeriodicalId":14000,"journal":{"name":"International Journal of Green Energy","volume":"1 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140018430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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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