In the background of the large-scale development and utilization of renewable energy, the joint operation of a variety of heterogeneous energy sources has become an inevitable development trend. However, the physical characteristics of different power sources and the inherent uncertainties of renewable energy power generation have brought difficulties to the planning, operation and control of power systems. For now, the utilization of multi-energy complementarity to promote energy transformation and improve the consumption of renewable energy has become a common understanding among researchers and the engineering community. This paper makes a review of the research on complementarity of new energy high proportion multi-energy systems from uncertainty modeling, complementary characteristics, planning and operation. We summarize the characteristics of the existing research and provide a reference for the further work.
{"title":"Research on Complementarity of Multi-Energy Power Systems: A Review","authors":"Wei Hu;Yu Dong;Lei Zhang;Yiting Wang;Yunchao Sun;Kexi Qian;Yuchen Qi","doi":"10.23919/IEN.2023.0042","DOIUrl":"10.23919/IEN.2023.0042","url":null,"abstract":"In the background of the large-scale development and utilization of renewable energy, the joint operation of a variety of heterogeneous energy sources has become an inevitable development trend. However, the physical characteristics of different power sources and the inherent uncertainties of renewable energy power generation have brought difficulties to the planning, operation and control of power systems. For now, the utilization of multi-energy complementarity to promote energy transformation and improve the consumption of renewable energy has become a common understanding among researchers and the engineering community. This paper makes a review of the research on complementarity of new energy high proportion multi-energy systems from uncertainty modeling, complementary characteristics, planning and operation. We summarize the characteristics of the existing research and provide a reference for the further work.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"275-283"},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376471","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060065","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}
One quarter of the green house gas (GHG) emissions is attributed to the transport sector. As the world moves to a low-carbon economy, electrification and efficiency improvements of transport has become one of the primary policy targets. As a result, the charging infrastructure is expanding fast in many parts of the world. According to the IEA World Energy Outlook report, 2.7 million public charging points are installed worldwide at the end of 2022, while more than 900000 of them were installed in that year, which is about a 55% increase on 2021 stock. The development of a vast charging network is expected to considerably increase the energy demand for electric vehicle (EV) charging (“slow” chargers at home range from 3.3 kW to 22 kW compared to a typical home demand of 2 kW, and fast chargers capacity is up to 350 kW), posing great challenges to the safe, stable and economic operation of the power grid.
{"title":"The Interaction of Electric Vehicles with the Power Grid-Challenges and Solutions","authors":"Nikos Hatziargyriou","doi":"10.23919/IEN.2023.0044","DOIUrl":"10.23919/IEN.2023.0044","url":null,"abstract":"One quarter of the green house gas (GHG) emissions is attributed to the transport sector. As the world moves to a low-carbon economy, electrification and efficiency improvements of transport has become one of the primary policy targets. As a result, the charging infrastructure is expanding fast in many parts of the world. According to the IEA World Energy Outlook report, 2.7 million public charging points are installed worldwide at the end of 2022, while more than 900000 of them were installed in that year, which is about a 55% increase on 2021 stock. The development of a vast charging network is expected to considerably increase the energy demand for electric vehicle (EV) charging (“slow” chargers at home range from 3.3 kW to 22 kW compared to a typical home demand of 2 kW, and fast chargers capacity is up to 350 kW), posing great challenges to the safe, stable and economic operation of the power grid.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"254-255"},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376444","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060206","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}
Xinting Liu;Shilin Wu;Haoyu Ma;Huiquan Zhang;Ran Bi;Bing Tian;Qiancheng Lv;Jun Hu
Electric field measurement holds immense significance in various domains. The power supply and signal acquisition units of the sensor may be coupled with ground wire interference, which could result in reduced measurement accuracy. Moreover, this problem is often ignored by researchers. This paper investigated the origin of ground coupling interference in electric field sensors and its impact on measurement accuracy. A miniature undistorted electric field sensor with wireless transmission was compared with existing D-dot, microelectromechanical systems (MEMS), and optical sensors. The results indicate that MEMS and D-dot exhibit diminished accuracy in measuring electric fields under uniform conditions, owing to interference from ground wires. In the case of transmission lines with non-uniform conditions, the wireless sensor exhibited a measurement error of 5%, whereas the optical sensor showed an error rate of approximately 8%. However, the D-dot sensor displayed a measurement error exceeding 50%, whereas the MEMS sensor yielded an error as high as 150%. This means that the wireless sensor isolates the ground-coupled interference signal and realizes the distortion-free measurement of the electric field. The wireless sensors will find extensive applications in new power systems for intelligent equipment status perception, fault warning, and other scenarios.
电场测量在各个领域都具有重要意义。传感器的电源和信号采集单元可能会受到地线干扰，从而降低测量精度。此外，这一问题往往被研究人员忽视。本文研究了电场传感器中地线耦合干扰的起源及其对测量精度的影响。将无线传输的微型无失真电场传感器与现有的 D 点、微机电系统 (MEMS) 和光学传感器进行了比较。结果表明，由于地线的干扰，微机电系统和 D 点传感器在均匀条件下测量电场的精度有所降低。在非均匀条件下的传输线中，无线传感器的测量误差为 5%，而光学传感器的误差率约为 8%。然而，D 点传感器的测量误差超过 50%，而 MEMS 传感器的误差则高达 150%。这说明无线传感器隔离了地面耦合干扰信号，实现了无失真电场测量。无线传感器将广泛应用于新型电力系统中的智能设备状态感知、故障预警等场景。
{"title":"Impact of Coupled Ground Wire Interference on the Precision of Electric Field Sensors","authors":"Xinting Liu;Shilin Wu;Haoyu Ma;Huiquan Zhang;Ran Bi;Bing Tian;Qiancheng Lv;Jun Hu","doi":"10.23919/IEN.2023.0038","DOIUrl":"10.23919/IEN.2023.0038","url":null,"abstract":"Electric field measurement holds immense significance in various domains. The power supply and signal acquisition units of the sensor may be coupled with ground wire interference, which could result in reduced measurement accuracy. Moreover, this problem is often ignored by researchers. This paper investigated the origin of ground coupling interference in electric field sensors and its impact on measurement accuracy. A miniature undistorted electric field sensor with wireless transmission was compared with existing D-dot, microelectromechanical systems (MEMS), and optical sensors. The results indicate that MEMS and D-dot exhibit diminished accuracy in measuring electric fields under uniform conditions, owing to interference from ground wires. In the case of transmission lines with non-uniform conditions, the wireless sensor exhibited a measurement error of 5%, whereas the optical sensor showed an error rate of approximately 8%. However, the D-dot sensor displayed a measurement error exceeding 50%, whereas the MEMS sensor yielded an error as high as 150%. This means that the wireless sensor isolates the ground-coupled interference signal and realizes the distortion-free measurement of the electric field. The wireless sensors will find extensive applications in new power systems for intelligent equipment status perception, fault warning, and other scenarios.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"314-322"},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10365719","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060081","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}
The holomorphic embedding method (HEM) stands as a mathematical technique renowned for its favorable convergence properties when resolving algebraic systems involving complex variables. The key idea behind the HEM is to convert the task of solving complex algebraic equations into a series expansion involving one or multiple embedded complex variables. This transformation empowers the utilization of complex analysis tools to tackle the original problem effectively. Since the 2010s, the HEM has been applied to steady-state and dynamic problems in power systems and has shown superior convergence and robustness compared to traditional numerical methods. This paper provides a comprehensive review on the diverse applications of the HEM and its variants reported by the literature in the past decade. The paper discusses both the strengths and limitations of these HEMs and provides guidelines for practical applications. It also outlines the challenges and potential directions for future research in this field.
全形嵌入法（HEM）是一种数学技术，因其在求解涉及复变量的代数系统时具有良好的收敛特性而闻名于世。HEM 背后的主要思想是将求解复杂代数方程的任务转换为涉及一个或多个嵌入复变量的级数展开。这种转换有助于利用复杂分析工具有效解决原始问题。自 2010 年代以来，HEM 已被应用于电力系统中的稳态和动态问题，与传统的数值方法相比，HEM 表现出更优越的收敛性和鲁棒性。本文全面回顾了过去十年中文献报道的 HEM 及其变体的各种应用。本文讨论了这些 HEM 的优势和局限性，并为实际应用提供了指导。本文还概述了该领域未来研究的挑战和潜在方向。
{"title":"A Review on Applications of Holomorphic Embedding Methods","authors":"Kaiyang Huang;Kai Sun","doi":"10.23919/IEN.2023.0037","DOIUrl":"10.23919/IEN.2023.0037","url":null,"abstract":"The holomorphic embedding method (HEM) stands as a mathematical technique renowned for its favorable convergence properties when resolving algebraic systems involving complex variables. The key idea behind the HEM is to convert the task of solving complex algebraic equations into a series expansion involving one or multiple embedded complex variables. This transformation empowers the utilization of complex analysis tools to tackle the original problem effectively. Since the 2010s, the HEM has been applied to steady-state and dynamic problems in power systems and has shown superior convergence and robustness compared to traditional numerical methods. This paper provides a comprehensive review on the diverse applications of the HEM and its variants reported by the literature in the past decade. The paper discusses both the strengths and limitations of these HEMs and provides guidelines for practical applications. It also outlines the challenges and potential directions for future research in this field.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"264-274"},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10365718","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060083","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}
Xianhao Fan;Hanhua Luo;Fangwei Liang;Jun Hu;Weidong Liu;Chuanyang Li;Jinliang He
The requirements for the construction of a new power system inevitably pose significant challenges and changes to the operation and maintenance of the power grid. To ensure the safe and stable operation of ultra-high voltage (UHV) transmission equipment, this work reports on the principles and preliminary results of using electroluminescence (EL)-based photon counting (PC) methods for early detection of micro-defects in GIS/GIL insulation spacer. In this study, the impact of voltage, gas pressure, and gas composition on the photon response of insulation is examined. Furthermore, the corresponding relationship between defect status and photon response characteristics is explored, along with the discussion of the EL mechanism and its evolution induced by defects. The research results demonstrate that PC measurement exhibits high sensitivity to variations in millimeter-scale defect size, position, and morphology at lower electric fields before partial discharge (PD) initiation. With this regard, this paper reveals promising prospects for the early detection of micro-defects in UHV transmission equipment using PC measurement-based methods.
新电力系统的建设要求必然会给电网的运行和维护带来巨大的挑战和变化。为确保特高压输电设备的安全稳定运行，本研究报告了基于电致发光（EL）的光子计数（PC）方法用于 GIS/GIL 绝缘间隔微缺陷早期检测的原理和初步结果。本研究探讨了电压、气体压力和气体成分对绝缘层光子响应的影响。此外，还探讨了缺陷状态与光子响应特性之间的相应关系，以及缺陷诱发的电致发光机制及其演变。研究结果表明，在局部放电 (PD) 开始之前的较低电场中，PC 测量对毫米级缺陷尺寸、位置和形态的变化具有很高的灵敏度。因此，本文揭示了使用基于 PC 测量的方法对超高压输电设备中的微缺陷进行早期检测的广阔前景。
{"title":"Photon Count Technique as a Potential Tool for Insulation Micro-Defect Detection: Principles and Primary Results","authors":"Xianhao Fan;Hanhua Luo;Fangwei Liang;Jun Hu;Weidong Liu;Chuanyang Li;Jinliang He","doi":"10.23919/IEN.2023.0036","DOIUrl":"10.23919/IEN.2023.0036","url":null,"abstract":"The requirements for the construction of a new power system inevitably pose significant challenges and changes to the operation and maintenance of the power grid. To ensure the safe and stable operation of ultra-high voltage (UHV) transmission equipment, this work reports on the principles and preliminary results of using electroluminescence (EL)-based photon counting (PC) methods for early detection of micro-defects in GIS/GIL insulation spacer. In this study, the impact of voltage, gas pressure, and gas composition on the photon response of insulation is examined. Furthermore, the corresponding relationship between defect status and photon response characteristics is explored, along with the discussion of the EL mechanism and its evolution induced by defects. The research results demonstrate that PC measurement exhibits high sensitivity to variations in millimeter-scale defect size, position, and morphology at lower electric fields before partial discharge (PD) initiation. With this regard, this paper reveals promising prospects for the early detection of micro-defects in UHV transmission equipment using PC measurement-based methods.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"258-263"},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10352432","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060265","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}
With the rapid development of energy technology, the reliability and durability of electrical insulation is becoming more and more important. In many critical systems, such as new energy systems, aerospace systems, power transmission and transformation systems, and rail transit systems, electrical degradation of dielectric polymers occurs frequently under harsh operating conditions. It will lead to electrical breakdown of key equipment if the risk is not identified and eliminated in time, resulting in huge economic losses. Unfortunately, electrical degradation usually initiates in a tiny area and does not cause significant changes in electrical properties of the material at the beginning, therefore it is extremely difficult to detect and has long been a major hidden danger threatening the safe operation of electrical and electronic equipment.
{"title":"Conventionally Indiscoverable Electrical Degradation in Polymer Insulation is Now Seen with Naked Eye","authors":"George Chen","doi":"10.23919/IEN.2023.0041","DOIUrl":"https://doi.org/10.23919/IEN.2023.0041","url":null,"abstract":"With the rapid development of energy technology, the reliability and durability of electrical insulation is becoming more and more important. In many critical systems, such as new energy systems, aerospace systems, power transmission and transformation systems, and rail transit systems, electrical degradation of dielectric polymers occurs frequently under harsh operating conditions. It will lead to electrical breakdown of key equipment if the risk is not identified and eliminated in time, resulting in huge economic losses. Unfortunately, electrical degradation usually initiates in a tiny area and does not cause significant changes in electrical properties of the material at the beginning, therefore it is extremely difficult to detect and has long been a major hidden danger threatening the safe operation of electrical and electronic equipment.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"256-256"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10378844","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139081199","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}
Ning Zhang;Yuxiao Liu;Fangyuan Si;Qingchun Hou;Audun Botterud;Chongqing Kang
Distribution grid topology and admittance information are essential for system planning, operation, and protection. In many distribution grids, missing or inaccurate topology and admittance data call for efficient estimation methods. However, measurement data may be insufficient or contaminated with large noise, which will fundamentally limit the estimation accuracy. This work explores the theoretical precision limits of the topology and admittance estimation (TAE) problem with different measurement devices, noise levels, and numbers of measurements. On this basis, we propose a conservative progressive self-adaptive (CPS) algorithm to estimate the topology and admittance. The results on IEEE 33 and 141-bus systems validate that the proposed CPS method can approach the theoretical precision limits under various measurement settings.
{"title":"Topology and Admittance Estimation: Precision Limits and Algorithms","authors":"Ning Zhang;Yuxiao Liu;Fangyuan Si;Qingchun Hou;Audun Botterud;Chongqing Kang","doi":"10.23919/IEN.2023.0035","DOIUrl":"10.23919/IEN.2023.0035","url":null,"abstract":"Distribution grid topology and admittance information are essential for system planning, operation, and protection. In many distribution grids, missing or inaccurate topology and admittance data call for efficient estimation methods. However, measurement data may be insufficient or contaminated with large noise, which will fundamentally limit the estimation accuracy. This work explores the theoretical precision limits of the topology and admittance estimation (TAE) problem with different measurement devices, noise levels, and numbers of measurements. On this basis, we propose a conservative progressive self-adaptive (CPS) algorithm to estimate the topology and admittance. The results on IEEE 33 and 141-bus systems validate that the proposed CPS method can approach the theoretical precision limits under various measurement settings.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"297-307"},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10336732","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060262","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}
Battery capacity assessment is a crucial research direction in the field of lithium-ion battery applications. In the previous research, a novel data-driven state of health (SOH) estimation method based on the voltage relaxation curve at full charging is developed. The experimental results have shown the evidence of the superiority of accurate battery SOH estimation based on physical features derived from equivalent circuit models (ECMs). However, the earlier research has limitations in estimating battery capacity with a diversity of battery charging states of charge. This study represents an extension of the previous work, aiming to investigate the feasibility of this technology for battery degradation evaluation under various charging states so that the application capability in practice is enhanced. In this study, six ECM features are extracted from 10-min voltage relaxation data across varying charging states to characterize the battery degradation evolution. Gaussian process regression (GPR) is employed to learn the relationship between the physical features and battery SOH. Experimental results under 10 different state of charge (SOC) ranges show that the developed methodology predicts accurate battery SOH, with a root mean square error being 0.9%.
{"title":"Estimating Battery State of Health with 10-Min Relaxation Voltage Across Various Charging States of Charge","authors":"Xinhong Feng;Yongzhi Zhang;Rui Xiong;Aihua Tang","doi":"10.23919/IEN.2023.0034","DOIUrl":"10.23919/IEN.2023.0034","url":null,"abstract":"Battery capacity assessment is a crucial research direction in the field of lithium-ion battery applications. In the previous research, a novel data-driven state of health (SOH) estimation method based on the voltage relaxation curve at full charging is developed. The experimental results have shown the evidence of the superiority of accurate battery SOH estimation based on physical features derived from equivalent circuit models (ECMs). However, the earlier research has limitations in estimating battery capacity with a diversity of battery charging states of charge. This study represents an extension of the previous work, aiming to investigate the feasibility of this technology for battery degradation evaluation under various charging states so that the application capability in practice is enhanced. In this study, six ECM features are extracted from 10-min voltage relaxation data across varying charging states to characterize the battery degradation evolution. Gaussian process regression (GPR) is employed to learn the relationship between the physical features and battery SOH. Experimental results under 10 different state of charge (SOC) ranges show that the developed methodology predicts accurate battery SOH, with a root mean square error being 0.9%.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 4","pages":"308-313"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10315081","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135610936","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}
Metal halide perovskite solar cell (PSC) has successfully distinguished itself in optoelectronic field by virtue of the sharp rise in power conversion efficiency over the past decade. The remarkable efficiency breakthrough at such a fast speed can be mainly attributed to the comprehensive study on film deposition techniques, especially the effective management of surface and interfacial defects in recent works. Herein, we summarized the current trends in performance enhancement for PSCs, with a focus on the generally applicable strategies in high-performance works, involving deposition methods, compositional engineering, additive engineering, crystallization manipulation, charge transport material selection, interfacial passivation, optical coupling effect and constructing tandem solar cells. Promising directions and perspectives are also provided.
{"title":"Major strategies for improving the performance of perovskite solar cells","authors":"Lixiu Zhang;Hang Li;Kai Zhang;Wenzhe Li;Chuantian Zuo;George Omololu Odunmbaku;Jingde Chen;Cong Chen;Luozheng Zhang;Ru Li;Yuping Gao;Baomin Xu;Jiangzhao Chen;Yongsheng Liu;Yang Wang;Yanlin Song;Jianxin Tang;Feng Gao;Qing Zhao;Yong Peng;Mingzhen Liu;Lei Tao;Yuelong Li;Zhimin Fang;Ming Cheng;Kuan Sun;Dewei Zhao;Yixin Zhao;Shihe Yang;Chenyi Yi;Liming Ding","doi":"10.23919/IEN.2023.0026","DOIUrl":"https://doi.org/10.23919/IEN.2023.0026","url":null,"abstract":"Metal halide perovskite solar cell (PSC) has successfully distinguished itself in optoelectronic field by virtue of the sharp rise in power conversion efficiency over the past decade. The remarkable efficiency breakthrough at such a fast speed can be mainly attributed to the comprehensive study on film deposition techniques, especially the effective management of surface and interfacial defects in recent works. Herein, we summarized the current trends in performance enhancement for PSCs, with a focus on the generally applicable strategies in high-performance works, involving deposition methods, compositional engineering, additive engineering, crystallization manipulation, charge transport material selection, interfacial passivation, optical coupling effect and constructing tandem solar cells. Promising directions and perspectives are also provided.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 3","pages":"172-199"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903498","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}
Climate change has emerged as one of the most pressing global concerns, and the energy sector plays a pivotal role in facilitating decarbonization. Nevertheless, climate change also exerts significant challenges on the energy sector, including ensuring the availability of energy resources, accommodating the expansion of electricity demand, and enhancing the power grid resilience. With the increasing penetration of renewable energy sources, the interdependence between energy and climate systems has become even stronger. To address these challenges and ensure a sustainable and resilient future for our energy system, it is crucial to develop a reliable and rigorous approach to model and assess the impacts of climate change on power systems. Researchers in the field of climate- energy research have analyzed the impact of climate change on energy networks in multiple aspects, and they rely heavily on reliable climate projections.
{"title":"Climate simulation resolutions impact on future system reliability assessment","authors":"Haoxiang Zhu;Haiwang Zhon","doi":"10.23919/IEN.2023.0033","DOIUrl":"https://doi.org/10.23919/IEN.2023.0033","url":null,"abstract":"Climate change has emerged as one of the most pressing global concerns, and the energy sector plays a pivotal role in facilitating decarbonization. Nevertheless, climate change also exerts significant challenges on the energy sector, including ensuring the availability of energy resources, accommodating the expansion of electricity demand, and enhancing the power grid resilience. With the increasing penetration of renewable energy sources, the interdependence between energy and climate systems has become even stronger. To address these challenges and ensure a sustainable and resilient future for our energy system, it is crucial to develop a reliable and rigorous approach to model and assess the impacts of climate change on power systems. Researchers in the field of climate- energy research have analyzed the impact of climate change on energy networks in multiple aspects, and they rely heavily on reliable climate projections.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 3","pages":"164-164"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903496","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}
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