iEnergy最新文献 - Book学术

Methods of Suppressing Ion Migration in n-i-p Perovskite Solar Cells 抑制n-i-p钙钛矿太阳能电池中离子迁移的方法

iEnergy Pub Date : 2024-12-30 DOI: 10.23919/IEN.2024.0029

Dongmei He;Yue Yu;Xinxing Liu;Xuxia Shai;Jiangzhao Chen

引用次数: 0

A Novel Trapped Field Magnet Enabled by a Quasi-Operational HTS Coil 一种由准操作高温超导线圈实现的新型困场磁体

iEnergy Pub Date : 2024-12-30 DOI: 10.23919/IEN.2024.0030

Hengpei Liao;Aleksandr Shchukin;Roshan Parajuli;Xavier Chaud;Jung-Bin Song;Min Zhang;Weijia Yuan

{"title":"A Novel Trapped Field Magnet Enabled by a Quasi-Operational HTS Coil","authors":"Hengpei Liao;Aleksandr Shchukin;Roshan Parajuli;Xavier Chaud;Jung-Bin Song;Min Zhang;Weijia Yuan","doi":"10.23919/IEN.2024.0030","DOIUrl":"https://doi.org/10.23919/IEN.2024.0030","url":null,"abstract":"This study introduces a novel approach to realizing compact high-field superconducting magnets by enabling a closed-loop high temperature superconducting (HTS) coil through magnetization. A circular closed-loop HTS coil is fabricated with a low resistive joint for field cooling magnetization. The HTS coil achieved a trapped field with only a 0.0087% decay in central field over 30 minutes. More interestingly, the central trapped field of 4.59 T exceeds the initial applied field of 4.5 T, while a peak trapped field of 6 T near the inner edge of the HTS coil, is identified through further numerical investigation. This phenomenon differs from the trapped field distributions observed in HTS bulks and stacks, where the trapped cannot exceed the applied one. Unique distributions of current density and magnetic field are identified as the reason for the trapped field exceeding the applied field. This study offers a new way to develop compact HTS magnets for a range of high-field applications such as superconducting magnetic energy storage (SMES) systems, superconducting machines, Maglev and proposes a viable method for amplifying the field strength beyond that of existing magnetic field source devices.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"3 4","pages":"261-267"},"PeriodicalIF":0.0,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10818558","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142905952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Four-Terminal Perovskite Tandem Solar Cells 四端钙钛矿串联太阳能电池

iEnergy Pub Date : 2024-12-30 DOI: 10.23919/IEN.2024.0025

Muhammad Rafiq;Hengyue Li;Junliang Yang

{"title":"Four-Terminal Perovskite Tandem Solar Cells","authors":"Muhammad Rafiq;Hengyue Li;Junliang Yang","doi":"10.23919/IEN.2024.0025","DOIUrl":"https://doi.org/10.23919/IEN.2024.0025","url":null,"abstract":"One of the primary barriers to the advancement of high-efficiency energy conversion technologies is the Shockley-Queisser limit, which imposes a fundamental efficiency constraint on single-junction solar cells. The advent of multi-junction solar cells provides a formidable alternative to this obstacle. Among these, organic-inorganic perovskite solar cells (PSCs) have captured substantial interest due to their outstanding optoelectronic properties, including tunable bandgaps and high-power conversion efficiencies, positioning them as prime candidates for multi-junction photovoltaic systems. We give a review of the latest advancements in four-terminal (4T) perovskite tandem solar cells (TSCs), emphasizing four pertinent configurations: perovskite-silicon (PVK/Si), perovskite-perovskite (PVK/PVK), perovskite-Cu(In,Ga)Se\u0000<inf>2</inf>\u0000 (PVK/CIGS), and perovskite-organic (PVK/organic), as well as other emerging 4T perovskite TSCs. Further, it also emphasizes the advancement of semitransparent wide-bandgap PSCs for TSC applications, tackling important issues and outlining potential future directions for optimizing 4T tandem design performance.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"3 4","pages":"216-241"},"PeriodicalIF":0.0,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10818560","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142905953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent Adjustment for Power System Operation Mode Based on Deep Reinforcement Learning 基于深度强化学习的电力系统运行模式智能调整

iEnergy Pub Date : 2024-12-30 DOI: 10.23919/IEN.2024.0028

Wei Hu;Ning Mi;Shuang Wu;Huiling Zhang;Zhewen Hu;Lei Zhang

{"title":"Intelligent Adjustment for Power System Operation Mode Based on Deep Reinforcement Learning","authors":"Wei Hu;Ning Mi;Shuang Wu;Huiling Zhang;Zhewen Hu;Lei Zhang","doi":"10.23919/IEN.2024.0028","DOIUrl":"https://doi.org/10.23919/IEN.2024.0028","url":null,"abstract":"Power flow adjustment is a sequential decision problem. The operator makes decisions to ensure that the power flow meets the system's operational constraints, thereby obtaining a typical operating mode power flow. However, this decision-making method relies heavily on human experience, which is inefficient when the system is complex. In addition, the results given by the current evaluation system are difficult to directly guide the intelligent power flow adjustment. In order to improve the efficiency and intelligence of power flow adjustment, this paper proposes a power flow adjustment method based on deep reinforcement learning. Combining deep reinforcement learning theory with traditional power system operation mode analysis, the concept of region mapping is proposed to describe the adjustment process, so as to analyze the process of power flow calculation and manual adjustment. Considering the characteristics of power flow adjustment, a Markov decision process model suitable for power flow adjustment is constructed. On this basis, a double Q network learning method suitable for power flow adjustment is proposed. This method can adjust the power flow according to the set adjustment route, thus improving the intelligent level of power flow adjustment. The method in this paper is tested on China Electric Power Research Institute (CEPRI) test system.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"3 4","pages":"252-260"},"PeriodicalIF":0.0,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10818561","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142905950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultra-Short-Term Wind-Power Forecasting Based on an Optimized CNN-BILSTM-Attention Model 基于优化CNN-BILSTM-Attention模型的超短期风电预测

iEnergy Pub Date : 2024-12-30 DOI: 10.23919/IEN.2024.0026

Weilong Yu;Shuaibing Li;Hao Zhang;Yongqiang Kang;Hongwei Li;Haiying Dong

引用次数: 0

Toward Clean, Efficient, and Intelligent Power and Energy Systems 迈向清洁、高效和智能的电力和能源系统

iEnergy Pub Date : 2024-12-30 DOI: 10.23919/IEN.2024.0031

引用次数: 0

Artificial Intelligence Techniques for Stability Analysis in Modern Power Systems 现代电力系统稳定性分析的人工智能技术

iEnergy Pub Date : 2024-12-30 DOI: 10.23919/IEN.2024.0027

Jiashu Fang;Chongru Liu

引用次数: 0

EV and PV are Booming, but is the Grid Ready to Coordinate them? 电动汽车和光伏正在蓬勃发展，但电网准备好协调它们了吗？

iEnergy Pub Date : 2024-12-09 DOI: 10.23919/IEN.2024.0023

Innocent Kamwa;Hajar Abdolahinia

{"title":"EV and PV are Booming, but is the Grid Ready to Coordinate them?","authors":"Innocent Kamwa;Hajar Abdolahinia","doi":"10.23919/IEN.2024.0023","DOIUrl":"https://doi.org/10.23919/IEN.2024.0023","url":null,"abstract":"In this era of deep decarbonization, when the new mantra is green energy everywhere, can we find ourselves in a situation where we have too much green energy? Believe it or not, this is the energy paradox faced by Australia on October 3, 2024. The proliferation of photovoltaic panels on roofs is causing an over-production of electricity, threatening the grid's stability. On that day, the peak of solar energy reached a record level, far exceeding the expected consumption level. As a result, the electric load vanished, and the total demand seen by the dispatch center crossed the dangerous low limit set to ensure network stability. In Victoria, one of the wealthiest states in Australia, the electricity system is designed for demand ranging from 1,865 to 10,000 megawatts, with a typical average of 5,000 megawatts. But on Saturday, 3 October, the market fell to a record low of 1,352 megawatts. This unprecedented situation has put the electricity grid under immense pressure. While not resulting in a widespread blackout, it demonstrates the urgent need to adapt energy infrastructure and policies. Solutions such as cost-effective large-scale battery storage or virtual power plants improving the capacity to manage excess solar energy are urgently needed. Other countries, notably California, have experienced similar challenges, illustrated by the “Duck curve” (see Figure 1). The most straightforward mitigation means to “dump” the excess PV energy by capping their production, which amounts to increasing their total cost of ownership and lost opportunity for deeper decarbonization.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"3 4","pages":"187-188"},"PeriodicalIF":0.0,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10787156","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142905804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Crystallization Regulation for Stable Blade-Coated Flexible Perovskite Solar Modules 稳定叶片涂层柔性钙钛矿太阳能组件的结晶调节

iEnergy Pub Date : 2024-12-09 DOI: 10.23919/IEN.2024.0024

Hua Zhong;Fei Zhang

引用次数: 0

An Improved State-of-Charge Estimation Method for Sodium-Ion Battery Based on Combined Correction of Voltage and Internal Resistance 基于电压和内阻联合校正的钠离子电池充电状态估计改进方法

iEnergy Pub Date : 2024-09-23 DOI: 10.23919/IEN.2024.0017

Yongqi Li;Cheng Chen;Youwei Wen;Qikai Lei;Kaixuan Zhang;Yifei Chen;Rui Xiong

引用次数: 0