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A performance evaluation method for energy storage systems adapted to new power system interaction requirements Front. Energy Res. (IF 3.4) Pub Date : 2024-04-25 Zeya Zhang, Guozhen Ma, Nan Song, Yunjia Wang, Jing Xia, Xiaobin Xu, Nuoqing Shen
In recent years, China’s new energy storage application on a large scale has shown a good development trend; a variety of energy storage technologies are widely used in renewable energy development, consumption, integrated intelligent energy systems, distribution grids, and microgrids; and substantial progress has been made in the research and development of technology and equipment, construction of
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Simulated safety analysis of a total loss of feedwater accident in the steam generator of CPR1000 nuclear power plant Front. Energy Res. (IF 3.4) Pub Date : 2024-04-25 Guanyi Wang, Chaoying Zheng, Yang Zhang, Peng Wu, Fangqiang Chen
As M310 series units, CPR1000 Nuclear Power Plant in China is also the first batch of demonstration nuclear power plants in China to try out SOP(the state-oriented procedure) accident procedures. The establishment of SOP accident regulations is an important work to mitigate the consequences of radioactive accidents in the design of nuclear power plants, and it is also the embodiment of the defense-in-depth
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Rapid carbon emission measurement during the building operation phase based on PSO–SVM: electric big data perspective Front. Energy Res. (IF 3.4) Pub Date : 2024-04-25 Yang Wei, Zhengwei Chang, Pengchao Hu, Hongli Liu, Fuxin Li, Yumin Chen
With the rapid development of urbanization in China, urban energy consumption increases rapidly, leading to energy shortages and environmental pollution, of which building operational energy consumption carbon emissions (BECCE) account for a large proportion. It has a vital impact on global warming and urban green and sustainable development. Chengdu city in Sichuan Province is taken as the research
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Low-carbon planning of urban charging stations considering carbon emission evolution characteristics and dynamic demand Front. Energy Res. (IF 3.4) Pub Date : 2024-04-24 Rui Jia, Xiangwu Xia, Yi Xuan, Zhiqing Sun, Yudong Gao, Shuo Qin
As a new generation of transportation, electric vehicles play an important role in carbon-peak targets. The development of electric vehicles needs the support of a charging network, and improper planning of charging stations will result in a waste of resources. In order to expand the charging network of electric vehicles and give full play to the low-carbon and efficient characteristics of electric
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Toward better blockchain-enabled energy trading between electric vehicles and smart grids in Internet of Things environments: a survey Front. Energy Res. (IF 3.4) Pub Date : 2024-04-24 Meriem Aoudia, Mustafa B. M. Alaraj, Omnia Abu Waraga, Takua Mokhamed, Manar Abu Talib, Maamar Bettayeb, Qassim Nasir, Chaouki Ghenai
With the rise of the 3Ds—decarbonization, decentralization, and digitalization—the number of electric vehicles is projected to increase, necessitating the implementation of modern technologies to avoid unnecessary energy wastage. Numerous studies have been developed proposing electric vehicle (EV) charging frameworks in networks empowered by renewable energy resources. In addition, more focus has recently
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Insights into Fischer–Tropsch catalysis: current perspectives, mechanisms, and emerging trends in energy research Front. Energy Res. (IF 3.4) Pub Date : 2024-04-24 Arthur Keunecke, Marcel Dossow, Vincent Dieterich, Hartmut Spliethoff, Sebastian Fendt
Fischer–Tropsch (FT) synthesis is an important module for the production of clean and sustainable fuels and chemicals, making it a topic of considerable interest in energy research. This mini-review covers the current literature on FT catalysis and offers insights into the primary products, the nuances of the FT reaction, and the product distribution, with particular attention to the Anderson–Schulz–Flory
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The shrinkage behavior of boreholes drilled through deepwater creeping salt formations in West Africa Front. Energy Res. (IF 3.4) Pub Date : 2024-04-23 Mingchun Wang, Jingen Deng, Zhong Li, Mengbo Li, Zixiao Xing, Zhe Zhang, Chuanliang Yan
Introduction: Salt formations are complex and pose significant risks during oil and gas drilling. Creep behavior in salt formations under geostress can jeopardize drilling safety.Methods: This study analyzes the shrinkage behavior of boreholes drilled through salt formations in West Africa’s Block B, with emphasis on the differential creep rates in two horizontal principal stress directions and the
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Multi-camera vision-based synchronous positioning and mapping for green construction of electric substations Front. Energy Res. (IF 3.4) Pub Date : 2024-04-23 Chang Wang, Huihong Yuan, Qifeng Bian, Chongjuan Zhao, Botao Zhou, Zhuozhou Chen, Muhammad Abdul Basit
Accurate CO2 tracking in electric substation construction is vital for climate efforts, using monocular SLAM for monitoring despite challenges like sunlight and complex terrain. Additionally, these methods typically yield only aggregate carbon emission data, thereby lacking the granularity necessary for precise monitoring throughout the construction process. These limitations compromise mapping accuracy
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Resilience-oriented repair crew and network reconfiguration coordinated operational scheduling for post-event restoration Front. Energy Res. (IF 3.4) Pub Date : 2024-04-22 Fuju Zhou, Peng Zhou, Tianchen Shi, Jiangping Jing, Gaige Liang, Shengrong Xu, Jianda Zhou, Kai Yang
This paper introduces a post-disaster load restoration approach for the distribution grid, utilizing network reconfiguration (NR) and dispatching of repair crews (RCs) to significantly enhance grid resilience. We propose an RC–NR coordinated model that leverages diverse flexible resources within the active distribution network (ADN), aimed at not only enhancing the grid’s resilience level but also
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Two-dimensional spectrum characteristics and oil movability study of the shale oil reservoir Front. Energy Res. (IF 3.4) Pub Date : 2024-04-22 Changhong Cai, Li Wang, Rui Zhang, Qiang Kang, Qingxiu Zhang, Dan Zhao, Jingsu Guo, Manfei Chen, Hongbin Chen, Lei Lei, Ke Wang, Jiahuan He
Shale oil is mainly stored in the nano–micro-pores of shale in the form of adsorption or in a free state. Among them, only free-state oil is the main contributor to shale oil production under natural elastic energy. Therefore, it is crucial to evaluate the movability of crude oil effectively. In this paper, focusing on the Jurassic shale oil reservoir core in the middle-eastern Sichuan region of China
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Solubility of H2-CH4 mixtures in brine at underground hydrogen storage thermodynamic conditions Front. Energy Res. (IF 3.4) Pub Date : 2024-04-22 Michel Tawil, Eloisa Salina Borello, Sergio Bocchini, Candido Fabrizio Pirri, Francesca Verga, Christian Coti, Matteo Scapolo, Donatella Barbieri, Dario Viberti
Concerning the emerging power-to-gas technologies, which are considered the most promising technology for seasonal renewable energy storage, Underground Hydrogen Storage (UHS) has gained attention in the last few years. For safe and efficient storage, possible hydrogen losses due to dissolution into the aquifer must be estimated accurately. Due to safety concerns, experimental measurements of hydrogen
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Charging station service scope division and real-time pricing strategy based on the strongest occupation method Front. Energy Res. (IF 3.4) Pub Date : 2024-04-22 Xian Yang, Xiafei Tang, Yuxiang Chen, Jialong Wu, Yudong Tan
With the rapid construction of charging stations (CSs), charging station operators need to enhance their core competitiveness by precisely planning their service areas and formulating reasonable and effective pricing strategies. However, the regional competition among multiple charging station operators is generally ignored. In the traditional model, the service scope of CSs appears as regular circles
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Carbon neutrality in Malaysia and Kuala Lumpur: insights from stakeholder-driven integrated assessment modeling Front. Energy Res. (IF 3.4) Pub Date : 2024-04-18 Maridee Weber, Leeya Pressburger, Loon Wai Chau, Zarrar Khan, Taryn Waite, Michael I. Westphal, Gabriel Hoh Teck Ling, Chin Siong Ho, Meredydd Evans
Introduction: Several cities in Malaysia have established plans to reduce their CO2 emissions, in addition to Malaysia submitting a Nationally Determined Contribution to reduce its carbon intensity (against GDP) by 45% in 2030 compared to 2005. Meeting these emissions reduction goals will require a joint effort between governments, industries, and corporations at different scales and across sectors
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Enhanced harris hawks optimization based load frequency control of multi area microgrid based water treatment plant with consideration of 3DOF-(FO-PIDN)/(TIDN) controller Front. Energy Res. (IF 3.4) Pub Date : 2024-04-18 C. Rohmingtluanga, Subir Datta, Nidul Sinha, Ksh. Robert Singh, Subhasish Deb, Umit Cali, Taha Selim Ustun
Municipal water supply system (WSS) consist of different pumping stages viz. intake, water treatment plant (WTP) and intermediate pumping station (IPS). Usually, the power supply for WSS is obtained through public power tapping sources. However, this often leads to load shedding and disruption of the water supply. This paper focuses on the concept, considering WSS as a multi-source multi-area microgrid
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Study on the induced effect of bedding weakness in deep shale gas reservoir on hydraulic fractures propagation Front. Energy Res. (IF 3.4) Pub Date : 2024-04-18 Guifu Duan, Jianye Mou, Zhaoyi Liu, Lingling Han, Hanzhuo Cui
Shale gas, as an important unconventional oil and gas resource, plays an important role in energy supply. Due to the strong mechanical heterogeneity and compactness, which requires the use of fracturing to crush the formation to obtain industrial production capacity. Therefore, it is very important to analyze shale’s mechanical properties and fracturing propagation laws. In this paper, the shale numerical
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An energy storage system configuration strategy of public buildings for PV local consumption and three-phase unbalance management Front. Energy Res. (IF 3.4) Pub Date : 2024-04-18 Shibo Li, Xingying Chen, Yangyi Hu, Lei Gan, Zheng Zhou
As the high carbon emission entities in the city, laying photovoltaic (PV) panels for public buildings is an effective way to reduce building carbon emissions. Meanwhile, public buildings play an important role as charging station access for the explosive growth of electric vehicles. However, the disorderly charging behavior of single-phase charging piles exacerbates the existing three-phase unbalance
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Hydrodynamic analysis of a floating platform integrated with buoys and spring components for energy conversion Front. Energy Res. (IF 3.4) Pub Date : 2024-04-18 Shi Yan Sun, Ruili Gao, Yueyang Li, Kang Ren
Introduction: The study presents an integrated system comprising a central platform and four wave-energy converters, with a focus on investigating their coupled motions induced by ocean waves. The interaction between the buoys and the central platform is achieved through the implementation of spring components. The power take-off system is simulated by incorporating damping coefficients and stiffness
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An improved two-beat deadbeat synchronous predictive current control strategy for MMC based on Newton interpolation method Front. Energy Res. (IF 3.4) Pub Date : 2024-04-17 Yuan Cheng, Hui Zhang, Jing Xing, Zihan Xiao
Modular Multilevel Converter (MMC) is widely used in applications such as High Voltage Direct Current (HVDC) transmission, AC/DC power conversion centers, and large-scale power quality management in electrical grids due to its highly modular structure, strong redundancy and low harmonic content in AC output. The application of the traditional deadbeat predictive current control to MMC enhances the
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An evolutionary planning method for distribution networks considering prosumers and shared energy storage Front. Energy Res. (IF 3.4) Pub Date : 2024-04-17 Jinglin Han, Xichun Feng, Zhiyong Chen, Ping Hu, Hui Zhao, Yubing Chen, Nian Liu
This research provides a rolling planning method for distribution networks, which takes into account shared energy storage capacity configuration and grid topology optimization due to the stochastic unpredictability of the planning scenarios and the interaction between multi-agents. First, the grid topology and the investment capacity of the shared energy storage are optimized by the gird company with
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A mini-review on trading mechanisms of emerging joint energy markets with high shares of renewables Front. Energy Res. (IF 3.4) Pub Date : 2024-04-17 Xiang Gao, Chongming Yang, Ziqing Zhu, Yuheng Wu, Yapeng Chen, Zhiying Mu
The intermittence and unpredictability of large-scale renewable integration poses significant challenges to the operation of the electricity market. New paradigms of the joint electricity spot market (EM) and ancillary service market (ASM) incorporating frequency regulation (FR) and flexible ramping product (FRP) are considered as potential solutions, addressing the challenge of limited compatibility
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High-quality development under energy constraints: an empirical study based on e-commerce demonstration zones Front. Energy Res. (IF 3.4) Pub Date : 2024-04-17 Qian Guo, Na Zhang
Introduction: China is exploring methods to achieve economically intensive, green, and high-quality development. Strengthening urban green total-factor production is important for achieving high-quality economic development. Whether the construction of e-commerce demonstration zones (EDZ) can provide new opportunities for high-quality urban development under the dual constraints of energy and environment
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Enhancing non-intrusive load monitoring with weather and calendar feature integration in DAE Front. Energy Res. (IF 3.4) Pub Date : 2024-04-15 Zengxin Pu, Yu Huang, Min Weng, Yang Meng, Yunbin Zhao, Gengsheng He
The construction of modern power system is key to achieving dual carbon goals, where non-intrusive load monitoring (NILM) plays a vital role in enhancing energy utilization efficiency and energy management. For example, to enable prosumers to better understand the extent of their flexible loads for demand response and peer-to-peer trading, it is essential to be aware of the types and states of loads
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A fault diagnosis method for flexible converter valve equipment based on DSC-BIGRU-MA Front. Energy Res. (IF 3.4) Pub Date : 2024-04-12 Jianbao Guo, Hang Liu, Lei Feng, Lifeng Zu
Introduction: Precise fault diagnosis is crucial for enhancing the reliability and lifespan of the flexible converter valve equipment. To address this issue, depthwise separable convolution, bidirectional gate recurrent unit, and multi-head attention module (DSC-BiGRU-MAM) based fault diagnosis approach is proposed.Methods: By DSC and BiGRU operation, the model can capture the correlation between local
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A framework for the practical development of condition monitoring systems with application to the roller compactor Front. Energy Res. (IF 3.4) Pub Date : 2024-04-12 Rexonni B. Lagare, Marcial Gonzalez, Zoltan K. Nagy, Gintaras V. Reklaitis
Implementing a condition-based maintenance strategy requires an effective condition monitoring (CM) system that can be complicated to develop and even harder to maintain. In this paper, we review the main complexities of developing condition monitoring systems and introduce a four-stage framework that can address some of these difficulties. The framework achieves this by first using process knowledge
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Identification method for inter-turn faults in transformers based on digital twin concept Front. Energy Res. (IF 3.4) Pub Date : 2024-04-12 Ma Aiqing, Gao Dawei, Qin Tonghui, Wang Wei
A transformer inter-turn fault identification method is proposed based on the digital twin concept to tackle the challenges of high operational complexity and low accuracy associated with traditional transformer fault identification methods. Initially, the Bald Eagle Search algorithm is employed to optimize the critical parameters of the Extreme Learning Machine (ELM), determining the optimal input
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Study on settling characteristics of rock cuttings from terrestrial high clay shale in power-law fluid Front. Energy Res. (IF 3.4) Pub Date : 2024-04-12 Qing Wang, Jiawei Zhang, Chenguang Bi, Xiaoao Liu, Guodong Ji, Jinping Yu
In the process of oil and gas drilling, it is of great significance to accurately predict the drag coefficient and settling rate of cuttings in the drilling fluid for hydraulic parameters and borehole cleaning. In this paper, particle settling experiments were used to obtain the final settling velocity of 196 groups of spherical particles and 224 groups of terrestrial high-clay pure-shale cuttings
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Research on the optimization of the clean heating system for regional residential buildings based on the multi-objective optimization strategy Front. Energy Res. (IF 3.4) Pub Date : 2024-04-11 Shaopeng Fu, Lu Wang, Hao Long
For the residential building district heating (RBDH) system, choosing the appropriate combination of heat sources according to local conditions is the key to improving economic efficiency. In this study, three climatic regions in China were selected, namely, a hot summer and cold winter region, cold region, and severe cold region. Among them, Nanjing, Tianjin, and Shenyang were selected as typical
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Optimal design of gas injection development method for enhanced recovery in terrestrial shale oil reservoir Front. Energy Res. (IF 3.4) Pub Date : 2024-04-11 Xiaoyu Cui, Zhewei Chen, Rui Wang, Yi Han, Xujiao He, Zhengdong Lei
This study investigates the shale oil drainage characteristics from the Gulong Sag, The objective is to clarify the development method for effective recovery enhancement of terrestrial shale oil. The investigation employs elastic depletion, CO2 displacement, and CO2 huff and puff coupled with nuclear magnetic resonance (NMR) measurements and numerical simulation methods. The study found that the elastic
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Optimal sizing and placement of capacitors in the isolated microgrid throughout the day considering the demand response program Front. Energy Res. (IF 3.4) Pub Date : 2024-04-11 Mousumi Basu, Chitralekha Jena, Baseem Khan, Ahmed Ali, Tahir Khurshaid
Reactive power compensation (RPC) is a big problem during power system operation. Parenthetically, capacitor allocation and sizing may be the only convenient solution for RPC of power systems. The loss sensitivity factor (LSF) is applied here for finding the optimum capacitor position. This paper presents quasi-oppositional fast convergence evolutionary programming (QOFCEP), fast convergence evolutionary
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Ultra-short-term multi-energy load forecasting for integrated energy systems based on multi-dimensional coupling characteristic mining and multi-task learning Front. Energy Res. (IF 3.4) Pub Date : 2024-04-11 Nantian Huang, Xinran Wang, Hao Wang, Hefei Wang
To address the challenges posed by the randomness and volatility of multi-energy loads in integrated energy systems for ultra-short-term accurate load forecasting, this paper proposes an ultra-short-term multi-energy load forecasting method based on multi-dimensional coupling feature mining and multi-task learning. Firstly, a method for mining multi-dimensional coupling characteristics of multi-energy
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Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique Front. Energy Res. (IF 3.4) Pub Date : 2024-04-11 Ch. S. V. Prasada Rao, A. Pandian, Ch. Rami Reddy, Mohit Bajaj, Jabir Massoud, Mokhtar Shouran
This manuscript proposes a novel hybrid artificial intelligence (AI) approach for a unified power quality conditioner (UPQC) designed specifically for electric vehicle charging stations (EVCSs). The aim is to integrate multiple vehicle-to-grid (V2G) functionalities, thereby mitigating the challenges associated with electric vehicle (EV) grid integration and the incorporation of distributed energy resources
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Numerical scrutinization of heat transfer subject to physical quantities through bioconvective nanofluid flow via stretching permeable surfaces Front. Energy Res. (IF 3.4) Pub Date : 2024-04-11 Shanshan Shang, Zikai Yu, Qiaoli Wang, Fengwei Liu, Limin Jin
Background: The mechanics of heat and mass transfer via nanofluid flow across many media are currently being discussed. “Nanofluids” are fluids that include highly heat-conductive nanoparticles, and they are essential for resolving engineering problems. Under the effects of activation energy, thermal radiation, and motile microorganisms, the process of heat and mass transfer through steady nanofluid
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A new method for predicting the oil displacement volume by waterflood huff-puff of the fractured-cavity type carbonate oil reservoirs Front. Energy Res. (IF 3.4) Pub Date : 2024-04-10 Cao Peng, Wang Peng, Liu Zhiliang, Chen Jiajun, Li Guohui, Du Yifan
Introduction: More than two billion tons of oil reserves have been discovered in the fractured-cavity type carbonate reservoirs in Tarim Basin, which is a key field for increasing reserves and production in the future. This type of oil reservoirs is characterized by extremely high heterogeneity, and waterflood huff-puff oil displacement is generally used for secondary development of the oil reservoirs
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Regional climate risks and government education expenditure: evidence from China Front. Energy Res. (IF 3.4) Pub Date : 2024-04-10 Peiqi Gao, Yinghan Rong, Yu Cao, Qiuyue Zhang, Hongtao Sun
Faced with the impact of climate risks, what responses do local governments make, particularly in the domain of social public policy? This study uses provincial panel data from China from 2009 to 2020 to investigate how climate risks affect local government education expenditure and its mechanisms. Analysis using spatial econometric models reveals the following. First, local climate risks significantly
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Optimal scheduling of integrated energy systems with a ladder-type carbon trading mechanism and demand response Front. Energy Res. (IF 3.4) Pub Date : 2024-04-10 Linjun Shi, Changyu Liang, Jianhua Zhou, Yang Li, Jian Liu, Feng Wu
Introduction: To achieve the “dual carbon” goal, the integrated energy system (IES) needs to take into account both economic and low-carbon requirements while meeting the growing energy demand.Methods: Therefore, an optimal scheduling model for low-carbon economic operation is proposed. Firstly, a more accurate carbon emission model is used to consider the actual carbon emission of gas load, to improve
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Multi-feature based extreme learning machine identification model of incipient cable faults Front. Energy Res. (IF 3.4) Pub Date : 2024-04-10 Feng Wang, Pengping Zhang, Jianxiu Li, Zhiqi Li, Mingzhe Zhao, Yongliang Liang, Guoqiang Su, Xinhong You
In the operation of medium-voltage distribution cables, the local insulation performance may degrade due to inherent defects, environmental influences, and external forces, leading to consecutive self-recovering latent faults in the cables. If not addressed promptly, these faults may escalate into permanent failures. To address this issue, this paper analyzes the development mechanism and characteristics
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A comparative study on the combination of life cycle assessment and ecological footprints: solar photovoltaic power generation vs. coal power generation in Ningxia Front. Energy Res. (IF 3.4) Pub Date : 2024-04-10 Jinni Luo, Hexu Yang, Liangxia Zhang, He Liu, Yidan Wang, Chen Hao
In China, where energy activities, predominantly driven by fossil fuel combustion, account for nearly 90% of the country’s greenhouse gas (GHG) emissions and coal power alone contributes over 40%, the shift towards carbon neutrality is a critical national ambition. This study conducts a comprehensive comparison of the environmental impacts of solar photovoltaic power generation (SPPG) and coal power
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Influence of deflectors on indoor airflow velocity distribution under natural ventilation conditions Front. Energy Res. (IF 3.4) Pub Date : 2024-04-10 Chaojie Wang, Meng Jin, Haifeng Cheng
Deflectors offer a cost-effective solution for enhancing airflow distribution. The purpose of this paper is to investigate the effect of the deflector on the indoor airflow velocity distribution under natural ventilation conditions. The results obtained from numerical simulations are validated through experimental measurements using a reduced-scale model. Subsequently, the validated reduced-scale numerical
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A nuclear power plant digital twin for developing robot navigation and interaction Front. Energy Res. (IF 3.4) Pub Date : 2024-04-10 Himanshu Vairagade, Sungmin Kim, Hoojon Son, Fan Zhang
As robot technologies are rapidly improving, an increasing number of new ideas on utilizing robots for automated operation and maintenance tasks in nuclear power plants (NPPs) are being studied. However, due to safety concerns, researchers hardly found opportunities to test their new robot solutions on physical NPPs. In that sense, an efficient and realistic simulation environment plays a vital role
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Integration of electric vehicle into smart grid: a meta heuristic algorithm for energy management between V2G and G2V Front. Energy Res. (IF 3.4) Pub Date : 2024-04-10 G. Srihari, R. S. R. Krishnam Naidu, Przemysław Falkowski-Gilski, Parameshachari Bidare Divakarachari, Ravi Kiran Varma Penmatsa
Recently, Electric Vehicles (EV) have been providing fast response and substantial progress in the power generation model. Further, EVs are exploited as adaptable Energy Storage Systems (ESSs) and show a promising performance in ancillary service markets to increase the demand of Smart Grid (SG) integration. The expansion of Vehicle-to-Grid concept has created an extra power source when renewable energy
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Effects of aquifer size and formation fracture pressure on CO2 geological storage capacity Front. Energy Res. (IF 3.4) Pub Date : 2024-04-10 Seungpil Jung, Kyungbook Lee
Introduction: Carbon capture and storage (CCS) is important for achieving net-zero carbon emissions. However, although the current geological storage capacity stands at approximately 3,000 Gt-CO2, the formation pressure increases with CO2 injection, imposing severe constraints on capacity from a geomechanical perspective. This study numerically examined nine cases (combinations of three fracture pressures
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A low-carbon evaluation framework for regional power systems Front. Energy Res. (IF 3.4) Pub Date : 2024-04-10 Jichao Ye, Hanbing Zhang, Hui Huang, Xinwei Hu, Xinhua Wu, Yi Qiu, Huanxin Liao, Yifan Zhu
With the escalating challenges of climate change and the imperative for carbon neutrality, evaluating the carbon footprint of regional power systems becomes crucial. To address this issue, a low-carbon evaluation framework for regional power systems is developed. First, this study identifies the fundamental requirements that the index system for the low-carbon power system should follow and specifies
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Investigation into hydraulic fracture propagation behavior during temporary plugging and diverting fracturing in deep coal seam Front. Energy Res. (IF 3.4) Pub Date : 2024-04-10 Sun Zening, Tan Zhanglong, Lin Junwen, An Qi, Zou Yushi, Liu Shikang, Zhao Ziwen
In this study, we conducted indoor temporary plugging and diverting fracturing (TPDF) experiments on samples of natural deep and shallow coal seams using a small-scale true triaxial fracturing simulation system. By integrating high-precision CT scanning technology and crack reconstruction techniques, and relying on the quantitative characterization of the crack complexity coefficient, we investigated
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Requirements on synthesis gas from gasification for material and energy utilization: a mini review Front. Energy Res. (IF 3.4) Pub Date : 2024-04-10 Philipp Leuter, Sebastian Fendt, Hartmut Spliethoff
Achieving sustainable energy and material use mandates a critical focus on carbon recycling. The imperative for an efficient carbon cycle is paramount in sustainable energy systems and the chemical industry. Syngas, derived from waste and biomass gasification, offers a robust foundation for such recycling efforts. Various technologies, each with unique gas purity requirements, facilitate further refinement
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Low-voltage characteristic voltage based fault distance estimation method of distribution network Front. Energy Res. (IF 3.4) Pub Date : 2024-04-09 Chongbin Huang, Haipeng He, Ying Wang, Rixian Miao, Zhouzhi Ke, Kai Chen
The traditional medium-voltage distribution network fault location method uses mainly the voltage and current measurements of the medium-voltage side, which results in problems such as high installation costs at the measuring points and complicated postoperation and maintenance work. Therefore, a fault location idea based on the distributed measurement of low-voltage side voltage is proposed in this
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Photo-thermal catalysis for sustainable energy production and environmental treatment Front. Energy Res. (IF 3.4) Pub Date : 2024-04-09 Daniel Amoako Darko, Sangeeta Sahu, Jyoti Rathore, Lakhvinder Kaur, Bhawana Jain, Shweta Kanungo, Reena Rawat
Photo-thermal-catalysts (PTC) exceptional features and ability to concurrently solve sustainable energy requirements and environmental problems have drawn scientific interest. The photo-thermal effect is the process by which photo-thermal conversion materials transform radiant energy from light into thermal energy. The photo-thermal therapy of energy and environmental treatment faces the urgent task
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Experimental study and application of similar materials in thick coal seam mining Front. Energy Res. (IF 3.4) Pub Date : 2024-04-09 Wei Liu, Shangxian Yin, Hung Vo Thanh, Mohamad Reza Soltanian, Qingyang Yu, Huiqing Lian, Songlin Yang, Yarui Li, Zhenxue Dai
The orthogonal experiments of similar materials were optimized and analyzed in order to accurately simulate the mechanical properties and the fracture evolution law of thick coal seam overlying strata during mining in this study. The experimental results indicated that similar materials using gypsum and calcium carbonate as cementing agents had a wide range of compressive strength (173.80 kPa–425.95
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An integrated energy system day-ahead scheduling method based on an improved dynamic time warping algorithm Front. Energy Res. (IF 3.4) Pub Date : 2024-04-09 Bohang Li
With the construction and development of the new energy system, the integrated energy system (IES) has garnered significant attention as a crucial energy carrier in recent years. Therefore, to address the scheduling challenges of IES influenced by uncertainty in source load and mitigate the conservatism of scheduling schemes while enhancing clustering accuracy, a method for day-ahead top-note scheduling
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The search method for key transmission sections based on an improved spectral clustering algorithm Front. Energy Res. (IF 3.4) Pub Date : 2024-04-08 Jiliang Lin, Min Liu
With the increased complexity of power systems stemming from the connection of high-proportion renewable energy sources, coupled with the escalating volatility and uncertainty, the key transmission sections that serve as indicators of the power grid’s security status are also subject to frequent changes, posing challenges to grid monitoring. The search method for key transmission sections based on
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Control and physical verification of 6-DOF manipulator for power inspection robots based on expert PID algorithm Front. Energy Res. (IF 3.4) Pub Date : 2024-04-08 Wenping Jiang, Xiang Wang, Zhouyang Liu
To enhance the performance of power inspection robots in intricate nuclear power stations, it is necessary to improve their response speed and accuracy. This paper uses the manipulator of the power inspection robot as the primary research object, and unlike previous control algorithm research, which only remained in the software simulation stage, we constructed a set of physical verification platforms
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Robust power control for PV and battery systems: integrating sliding mode MPPT with dual buck converters Front. Energy Res. (IF 3.4) Pub Date : 2024-04-08 Arezki Fekik, Mohamed Lamine Hamida, Ahmad Taher Azar, Malek Ghanes, Arezki Hakim, Hakim Denoun, Ibrahim A. Hameed
This paper presents a comprehensive exploration of an integrated Buck-Boost converter and Sliding Mode Control (SMC) Maximum Power Point Tracking (MPPT) system for optimizing photovoltaic energy conversion. The study focuses on enhancing solar energy extraction efficiency, regulating output currents, and ensuring effective battery utilization. Through a systematic analysis of converter component sizing
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Low-carbon optimal operation of the integrated energy system considering integrated demand response and oxygen-rich combustion capture technology Front. Energy Res. (IF 3.4) Pub Date : 2024-04-08 Xiu Ji, Meng Li, Meiyue Li, Huanhuan Han
In view of the current operating constraints and environmental pollution problems of traditional units, in this article, oxygen-rich combustion capture technology is introduced to transform gas-fired units, demand response technology is used on the load side, the energy conversion equipment such as power-to-gas equipment is combined to form an integrated energy system, and then, a low-carbon optimization
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Communication network robust routing optimization in an integrated energy cyber–physical system based on a random denial-of-service attack Front. Energy Res. (IF 3.4) Pub Date : 2024-04-08 Hong Fan, Xu Huang, Diwei Wang, Boyang Zhou
The integration of power grids and communication networks in smart grids enhances system safety and reliability but also exposes vulnerabilities to network attacks, such as Denial-of-Service (DoS) attacks targeting communication networks. A multi-index evaluation approach is proposed to optimize routing modes in integrated energy cyber-physical systems (IECPS) considering potential failures from attacks
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Day-ahead optimization of integrated electricity and thermal system combining multiple types of demand response strategies and situation awareness technology Front. Energy Res. (IF 3.4) Pub Date : 2024-04-08 Shumin Sun, Yan Cheng, Jiawei Xing, Peng Yu, Yuejiao Wang
Under the dual pressure of energy shortage and environmental pollution, relying only on increasing the installed capacity of units and line transmission capacity cannot cope with the conflict between the growth of power demand and the difficulty of grid expansion in the long run. Demand response conducts users to change their energy consumption habits through system-issued electricity prices or incentives
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Strategy for evaluating the status of relay protection equipment for the new generation of intelligent substations Front. Energy Res. (IF 3.4) Pub Date : 2024-04-08 Dapeng Liu, Kuizhong Wu, Zhenhua Guo, Yunhai Cui, Wenbin Liu, Jinjing Zhang
With the rapid development of power grid, the structure and technology of the secondary system in substations are also constantly innovating. The new generation of intelligent substations has achieved online monitoring functions for secondary equipment, making some state variables of relay protection equipment become observable indicators. Based on this, this paper proposes a novel relay protection
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A DC fault current fast-computing method of MMC-HVDC grid with short circuit protection equipment Front. Energy Res. (IF 3.4) Pub Date : 2024-04-08 Xiong Zhang, Xu Yang, Chaoran Zhuo
The multi-terminal modular multi-level converter-based high voltage direct current (MMC-HVDC) grid with short circuit protection equipment (SCPE) is so complex that it is difficult to estimate its fault current and analyze the performance of SCPE by conventional time-domain numerical calculation method, it meets three big obstacles. This paper has made significant progress in overcoming these obstacles
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Deep learning-based correlation analysis for probabilistic power flow considering renewable energy and energy storage Front. Energy Res. (IF 3.4) Pub Date : 2024-04-08 Xiaotian Xia, Liye Xiao, Hua Ye
Developing photovoltaic (PV) and wind power is one of the most efficient approaches to reduce carbon emissions. Accumulating the PV and wind energy resources at different geographical locations can minimize total power output variance as injected into the power systems. To some extent, a low degree of the variance amplitude of the renewable resources can reduce the requirement of in-depth regulation
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Application of improved graph convolutional networks in daily-ahead carbon emission prediction Front. Energy Res. (IF 3.4) Pub Date : 2024-04-05
With the increasing complexity of power systems and the proliferation of renewable energy sources, the task of calculating carbon emissions has become increasingly challenging. To address these challenges, we developed a new method for predicting carbon emission factors. Bayesian optimization technique graphical convolutional networks with long- and short-term network (BO-TGNN) is used to predict the
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Optimization of VAWT installation with spatial and temporal complexity considerations Front. Energy Res. (IF 3.4) Pub Date : 2024-04-05
The constant need for fuel to meet the commercial sector’s ever-increasing demand has driven researchers to discover and optimize renewable energy resources, paving the way for sustainable production of reliable and clean energy resources. The goal of the current work is to close the gap in process parameter optimization needed to convert wind energy wake from traffic on highways into electrical energy
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An adaptive energy management strategy for airports to achieve carbon neutrality by 2050 via waste, wind, and solar power Front. Energy Res. (IF 3.4) Pub Date : 2024-04-05
After the border lockdown, global traffic has returned, making green airports a government goal to reach carbon neutrality by 2050. Sustainable aviation fuel (SAF) use for commercial aircraft alone won't help achieve net-zero emissions (NEZ). An independent renewable energy supply system at airports is urgently needed to implement green airports worldwide. This study develops a renewable energy power