Frontiers in Energy最新文献_第6页

Dynamic simulation of GEH-IES with distributed parameter characteristics for hydrogen-blending transportation 用于氢气混合运输的具有分布式参数特征的 GEH-IES 的动态模拟

IF 3.1 4区工程技术

Frontiers in Energy Pub Date : 2023-12-31 DOI: 10.1007/s11708-023-0914-4

Dengji Zhou, Jiarui Hao, Wang Xiao, Chen Wang, Chongyuan Shui, Xingyun Jia, Siyun Yan

{"title":"Dynamic simulation of GEH-IES with distributed parameter characteristics for hydrogen-blending transportation","authors":"Dengji Zhou, Jiarui Hao, Wang Xiao, Chen Wang, Chongyuan Shui, Xingyun Jia, Siyun Yan","doi":"10.1007/s11708-023-0914-4","DOIUrl":"10.1007/s11708-023-0914-4","url":null,"abstract":"<div><p>For the purpose of environment protecting and energy saving, renewable energy has been distributed into the power grid in a considerable scale. However, the consuming capacity of the power grid for renewable energy is relatively limited. As an effective way to absorb the excessive renewable energy, the power to gas (P2G) technology is able to convert excessive renewable energy into hydrogen. Hydrogen-blending natural gas pipeline is an efficient approach for hydrogen transportation. However, hydrogen-blending natural gas complicates the whole integrated energy system (IES), making it more problematic to cope with the equipment failure, demand response and dynamic optimization. Nevertheless, dynamic simulation of distribution parameters of gas–electricity–hydrogen (GEH) energy system, especially for hydrogen concentration, still remains a challenge. The dynamics of hydrogen-blending IES is undiscovered. To tackle the issue, an iterative solving framework of the GEH-IES and a cell segment-based method for hydrogen mixing ratio distribution are proposed in this paper. Two typical numerical cases studying the conditions under which renewables fluctuate and generators fail are conducted on a real-word system. The results show that hydrogen blending timely and spatially influences the flow parameters, of which the hydrogen mixing ratio and gas pressure loss along the gas pipeline are negatively correlated and the response to hydrogen mixing ratio is time-delayed. Moreover, the hydrogen-blending amount and position also have a significant impact on the performance of the compressor.</p></div>","PeriodicalId":570,"journal":{"name":"Frontiers in Energy","volume":"18 4","pages":"506 - 524"},"PeriodicalIF":3.1,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139475264","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

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control 基于模型预测控制的互联数据中心多时间尺度优化调度

IF 3.1 4区工程技术

Frontiers in Energy Pub Date : 2023-12-20 DOI: 10.1007/s11708-023-0912-6

Xiao Guo, Yanbo Che, Zhihao Zheng, Jiulong Sun

引用次数: 0

Performance of iron-air battery with iron nanoparticle-encapsulated C-N composite electrode 铁纳米粒子封装 C-N 复合电极的铁-空气电池性能

IF 3.1 4区工程技术

Frontiers in Energy Pub Date : 2023-12-05 DOI: 10.1007/s11708-023-0913-5

Can Fang, Xiangmei Tang, Jiaoyan Wang, Qingfeng Yi

引用次数: 0

Enhanced photoelectrochemical water splitting with a donor-acceptor polyimide 用给受体聚酰亚胺增强光电化学水分解

IF 3.1 4区工程技术

Frontiers in Energy Pub Date : 2023-11-30 DOI: 10.1007/s11708-023-0910-8

Hongyu Qu, Xiaoyu Xu, Longfei Hong, Xintie Wang, Yifei Zan, Huiyan Zhang, Xiao Zhang, Sheng Chu

{"title":"Enhanced photoelectrochemical water splitting with a donor-acceptor polyimide","authors":"Hongyu Qu, Xiaoyu Xu, Longfei Hong, Xintie Wang, Yifei Zan, Huiyan Zhang, Xiao Zhang, Sheng Chu","doi":"10.1007/s11708-023-0910-8","DOIUrl":"10.1007/s11708-023-0910-8","url":null,"abstract":"<div><p>Polyimide (PI) has emerged as a promising organic photocatalyst owing to its distinct advantages of high visible-light response, facile synthesis, molecularly tunable donor-acceptor structure, and excellent physicochemical stability. However, the synthesis of high-quality PI photoelectrode remains a challenge, and photoelectrochemical (PEC) water splitting for PI has been less studied. Herein, the synthesis of uniform PI photoelectrode films via a simple spin-coating method was reported, and their PEC properties were investigated using melamine as donor and various anhydrides as acceptors. The influence of the conjugate size of aromatic unit (phenyl, biphenyl, naphthalene, perylene) of electron acceptor on PEC performance were studied, where naphthalene-based PI photoelectrode exhibited the highest photocurrent response. This is resulted from the unification of wide-range light absorption, efficient charge separation and transport, and strong photooxidation capacity. This paper expands the material library of polymer films for PEC applications and contributes to the rational design of efficient polymer photoelectrodes.</p></div>","PeriodicalId":570,"journal":{"name":"Frontiers in Energy","volume":"18 4","pages":"463 - 473"},"PeriodicalIF":3.1,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138526575","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

Analysis on carbon emission reduction intensity of fuel cell vehicles from a life-cycle perspective 从生命周期角度分析燃料电池汽车的碳减排强度

IF 3.1 4区工程技术

Frontiers in Energy Pub Date : 2023-11-30 DOI: 10.1007/s11708-023-0909-1

Ziyuan Teng, Chao Tan, Peiyuan Liu, Minfang Han

{"title":"Analysis on carbon emission reduction intensity of fuel cell vehicles from a life-cycle perspective","authors":"Ziyuan Teng, Chao Tan, Peiyuan Liu, Minfang Han","doi":"10.1007/s11708-023-0909-1","DOIUrl":"10.1007/s11708-023-0909-1","url":null,"abstract":"<div><p>The hydrogen fuel cell vehicle is rapidly developing in China for carbon reduction and neutrality. This paper evaluated the life-cycle cost and carbon emission of hydrogen energy via lots of field surveys, including hydrogen production and packing in chlor-alkali plants, transport by tube trailers, storage and refueling in hydrogen refueling stations (HRSs), and application for use in two different cities. It also conducted a comparative study for battery electric vehicles (BEVs) and internal combustion engine vehicles (ICEVs). The result indicates that hydrogen fuel cell vehicle (FCV) has the best environmental performance but the highest energy cost. However, a sufficient hydrogen supply can significantly reduce the carbon intensity and FCV energy cost of the current system. The carbon emission for FCV application has the potential to decrease by 73.1% in City A and 43.8% in City B. It only takes 11.0%–20.1% of the BEV emission and 8.2%–9.8% of the ICEV emission. The cost of FCV driving can be reduced by 39.1% in City A. Further improvement can be obtained with an economical and “greener” hydrogen production pathway.</p></div>","PeriodicalId":570,"journal":{"name":"Frontiers in Energy","volume":"18 1","pages":"16 - 27"},"PeriodicalIF":3.1,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138572109","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

Recent advances and challenges of nitrogen/nitrate electro catalytic reduction to ammonia synthesis 氮/硝酸盐电催化还原合成氨的研究进展与挑战

IF 3.1 4区工程技术

Frontiers in Energy Pub Date : 2023-11-20 DOI: 10.1007/s11708-023-0908-2

Junwen Cao, Yikun Hu, Yun Zheng, Wenqiang Zhang, Bo Yu

{"title":"Recent advances and challenges of nitrogen/nitrate electro catalytic reduction to ammonia synthesis","authors":"Junwen Cao, Yikun Hu, Yun Zheng, Wenqiang Zhang, Bo Yu","doi":"10.1007/s11708-023-0908-2","DOIUrl":"10.1007/s11708-023-0908-2","url":null,"abstract":"<div><p>The Haber-Bosch process is the most widely used synthetic ammonia technology at present. Since its invention, it has provided an important guarantee for global food security. However, the traditional Haber-Bosch ammonia synthesis process consumes a lot of energy and causes serious environmental pollution. Under the serious pressure of energy and environment, a green, clean, and sustainable ammonia synthesis route is urgently needed. Electrochemical synthesis of ammonia is a green and mild new method for preparing ammonia, which can directly convert nitrogen or nitrate into ammonia using electricity driven by solar, wind, or water energy, without greenhouse gas and toxic gas emissions. Herein, the basic mechanism of the nitrogen reduction reaction (NRR) to ammonia and nitrate reduction reaction (NO<span>\u0000 <sup>−</sup><sub>3</sub>\u0000 \u0000 </span> RR) to ammonia were discussed. The representative approaches and major technologies, such as lithium mediated electrolysis and solid oxide electrolysis cell (SOEC) electrolysis for NRR, high activity catalyst and advanced electrochemical device fabrication for NO<span>\u0000 <sup>−</sup><sub>3</sub>\u0000 \u0000 </span> RR and electrochemical ammonia synthesis were summarized. Based on the above discussion and analysis, the main challenges and development directions for electrochemical ammonia synthesis were further proposed.</p></div>","PeriodicalId":570,"journal":{"name":"Frontiers in Energy","volume":"18 2","pages":"128 - 140"},"PeriodicalIF":3.1,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138512701","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

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery 基于机器学习和神经网络的锂离子电池健康状态仿真与预测模型

IF 3.1 4区工程技术

Frontiers in Energy Pub Date : 2023-11-20 DOI: 10.1007/s11708-023-0891-7

Nan Qi, Kang Yan, Yajuan Yu, Rui Li, Rong Huang, Lai Chen, Yuefeng Su

{"title":"Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery","authors":"Nan Qi, Kang Yan, Yajuan Yu, Rui Li, Rong Huang, Lai Chen, Yuefeng Su","doi":"10.1007/s11708-023-0891-7","DOIUrl":"10.1007/s11708-023-0891-7","url":null,"abstract":"<div><p>As the intersection of disciplines deepens, the field of battery modeling is increasingly employing various artificial intelligence (AI) approaches to improve the efficiency of battery management and enhance the stability and reliability of battery operation. This paper reviews the value of AI methods in lithium-ion battery health management and in particular analyses the application of machine learning (ML), one of the many branches of AI, to lithium-ion battery state of health (SOH), focusing on the advantages and strengths of neural network (NN) methods in ML for lithium-ion battery SOH simulation and prediction. NN is one of the important branches of ML, in which the application of NNs such as backpropagation NN, convolutional NN, and long short-term memory NN in SOH estimation of lithium-ion batteries has received wide attention. Reports so far have shown that the utilization of NN to model the SOH of lithium-ion batteries has the advantages of high efficiency, low energy consumption, high robustness, and scalable models. In the future, NN can make a greater contribution to lithium-ion battery management by, first, utilizing more field data to play a more practical role in health feature screening and model building, and second, by enhancing the intelligent screening and combination of battery parameters to characterize the actual lithium-ion battery SOH to a greater extent. The in-depth application of NN in lithium-ion battery SOH will certainly further enhance the science, reliability, stability, and robustness of lithium-ion battery management.</p></div>","PeriodicalId":570,"journal":{"name":"Frontiers in Energy","volume":"18 2","pages":"223 - 240"},"PeriodicalIF":3.1,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138512698","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

Oxygen reduction electrocatalysis: From conventional to single-atomic platinum-based catalysts for proton exchange membrane fuel cells 氧还原电催化:质子交换膜燃料电池从传统到单原子铂基催化剂

IF 3.1 4区工程技术

Frontiers in Energy Pub Date : 2023-11-20 DOI: 10.1007/s11708-023-0907-3

Cheng Yuan, Shiming Zhang, Jiujun Zhang

{"title":"Oxygen reduction electrocatalysis: From conventional to single-atomic platinum-based catalysts for proton exchange membrane fuel cells","authors":"Cheng Yuan, Shiming Zhang, Jiujun Zhang","doi":"10.1007/s11708-023-0907-3","DOIUrl":"10.1007/s11708-023-0907-3","url":null,"abstract":"<div><p>Platinum (Pt)-based materials are still the most efficient and practical catalysts to drive the sluggish kinetics of cathodic oxygen reduction reaction (ORR) in proton exchange membrane fuel cells (PEMFCs). However, their catalysis and stability performance still need to be further improved in terms of corrosion of both carbon support and Pt catalyst particles as well as Pt loading reduction. Based on the developed synthetic strategies of alloying/nanostructuring Pt particles and modifying/innovating supports in developing conventional Pt-based catalysts, Pt single-atom catalysts (Pt SACs) as the recently burgeoning hot materials with a potential to achieve the maximum utilization of Pt are comprehensively reviewed in this paper. The design thoughts and synthesis of various isolated, alloyed, and nanoparticle-contained Pt SACs are summarized. The single-atomic Pt coordinating with non-metals and alloying with metals as well as the metal-support interactions of Pt single-atoms with carbon/non-carbon supports are emphasized in terms of the ORR activity and stability of the catalysts. To advance further research and development of Pt SACs for viable implementation in PEMFCs, various technical challenges and several potential research directions are outlined.</p></div>","PeriodicalId":570,"journal":{"name":"Frontiers in Energy","volume":"18 2","pages":"206 - 222"},"PeriodicalIF":3.1,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138526539","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 review of bifacial solar photovoltaic applications 双面太阳能光伏应用综述

IF 3.1 4区工程技术

Frontiers in Energy Pub Date : 2023-11-20 DOI: 10.1007/s11708-023-0903-7

Aydan Garrod, Aritra Ghosh

引用次数: 0

Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian process regression 基于神经网络和高斯过程回归的锂离子电池剩余使用寿命两相早期预测方法

IF 3.1 4区工程技术

Frontiers in Energy Pub Date : 2023-11-20 DOI: 10.1007/s11708-023-0906-4

Zhiyuan Wei, Changying Liu, Xiaowen Sun, Yiduo Li, Haiyan Lu

{"title":"Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian process regression","authors":"Zhiyuan Wei, Changying Liu, Xiaowen Sun, Yiduo Li, Haiyan Lu","doi":"10.1007/s11708-023-0906-4","DOIUrl":"10.1007/s11708-023-0906-4","url":null,"abstract":"<div><p>Lithium-ion batteries (LIBs) are widely used in transportation, energy storage, and other fields. The prediction of the remaining useful life (RUL) of lithium batteries not only provides a reference for health management but also serves as a basis for assessing the residual value of the battery. In order to improve the prediction accuracy of the RUL of LIBs, a two-phase RUL early prediction method combining neural network and Gaussian process regression (GPR) is proposed. In the initial phase, the features related to the capacity degradation of LIBs are utilized to train the neural network model, which is used to predict the initial cycle lifetime of 124 LIBs. The Pearson coefficient’s two most significant characteristic factors and the predicted normalized lifetime form a 3D space. The Euclidean distance between the test dataset and each cell in the training dataset and validation dataset is calculated, and the shortest distance is considered to have a similar degradation pattern, which is used to determine the initial Dual Exponential Model (DEM). In the second phase, GPR uses the DEM as the initial parameter to predict each test set’s early RUL (ERUL). By testing four batteries under different working conditions, the RMSE of all capacity estimation is less than 1.2%, and the accuracy percentage (AP) of remaining life prediction is more than 98%. Experiments show that the method does not need human intervention and has high prediction accuracy.</p></div>","PeriodicalId":570,"journal":{"name":"Frontiers in Energy","volume":"18 4","pages":"447 - 462"},"PeriodicalIF":3.1,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138512700","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