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Onshore power supply–trends in research studies Front. Energy Res. (IF 3.4) Pub Date : 2024-03-15 Joanna Kizielewicz
Restrictive regulations introduced by the European Parliament and the United Nations have forced the seaport authorities to reach net zero gas emissions by 2030. An important source of pollution emitted in ports involves exhaust gas emissions from ships powered by ship engines while they are berthed in seaports. One of the ways to reduce the level of pollution and nuisance caused by ship engines is
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Differential protection scheme for distribution network with distributed generation based on improved feature mode decomposition and derivative dynamic time warping Front. Energy Res. (IF 3.4) Pub Date : 2024-03-15 Lei Wang, Xin Song, Weijian Jiang
With the progress of communication technology, the cost of optical fiber and 5G continues to decrease, and data transmission becomes more convenient and fast, making it possible to realize differential protection of distribution network by various intelligent algorithms using signal waveforms. Aiming at the problem that the traditional relay protection device can not meet the actual demand when the
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Complex affine arithmetic based uncertain sensitivity analysis of voltage fluctuations in active distribution networks Front. Energy Res. (IF 3.4) Pub Date : 2024-03-15 Li Quanjun, Sun Huazhong, Liu Mingming, Li Jinbao, Ji Wenyu, Wang Kai
The uncertainties of distribution generations (DGs) and loads lead to severe voltage fluctuations in active distribution networks (ADNs). Meanwhile, energy storage systems (ESSs) and static var compensators (SVCs) can mitigate the uncertainties of power injections by regulating the active and reactive power. Considering the variations of multiple uncertain factors, this paper proposes a complex affine
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Online insulator defects detection and application based on YOLOv7-tiny algorithm Front. Energy Res. (IF 3.4) Pub Date : 2024-03-15 Sheng Wu, Xiangyan Gan, Jian Xiao, Cong Ma, Tianyi Deng, Zhibin Du, Wei Qiu
As an indispensable part of the power transmission system, insulators are of great importance to the safe and stable operation of power grids in terms of their healthy and reliable operation. To realize real-time monitoring of insulator defects under a complex environment, this paper proposes an insulator defect detection method based on the You Only Look Once version 7-tiny (YOLOv7-tiny) algorithm
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Deep learning anomaly detection in AI-powered intelligent power distribution systems Front. Energy Res. (IF 3.4) Pub Date : 2024-03-15 Jing Duan
Introduction: Intelligent power distribution systems are vital in the modern power industry, tasked with managing power distribution efficiently. These systems, however, encounter challenges in anomaly detection, hampered by the complexity of data and limitations in model generalization.Methods: This study developed a Transformer-GAN model that combines Transformer architectures with GAN technology
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Demand-side response power control strategy considering load production sequence requirements Front. Energy Res. (IF 3.4) Pub Date : 2024-03-15 Xi Wang, Zhen Chen, Haocong Xie, Siyang Liao, Xi Ye, Gang Chen
With the introduction of a high proportion of new energy sources, the power system needs new means to enhance its regulating flexibility. High-energy-consuming industrial loads on the demand side have significant potential to improve the grid’s regulating flexibility. Unplanned power adjustments can affect normal load production. This paper proposes a power control strategy that considers the normal
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Multi-scenario flexibility assessment of power systems considering renewable energy output uncertainty Front. Energy Res. (IF 3.4) Pub Date : 2024-03-15 Qing Ai, Jianqiang Xiang, Yaolin Liu, Luguang Qu, Jinchao Cao, Xiangnan Li, Yingge Wang
The widespread adoption of renewable energy sources presents a significant challenge to the flexibility of power system. To assess the flexibility of the power system in scenarios with uncertain renewable energy output, it is crucial to quantify it quantitatively. This evaluation plays a vital role in planning flexible regulatory resources and dispatching resources for both the energy source and load
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Two-stage robust planning method for distribution network energy storage based on load forecasting Front. Energy Res. (IF 3.4) Pub Date : 2024-03-15 Minghan Yuan, Hua Zhang, Kunhua Ji, Yangyang Liu, Xiao Tang, Biao Tao, Zichen Li, Yang Mi
A two-stage robust planning method for energy storage in distribution networks based on load prediction is proposed to address the uncertainty of active load in energy storage planning. First, considering the uncertainty of active load, a short-term load forecasting model combining the mutual information method and BiLSTM is established based on k-means++ clustering. Second, based on the results of
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Promotion of CO2 fracturing for CCUS—the technical gap between theory and practice Front. Energy Res. (IF 3.4) Pub Date : 2024-03-14 Lei Hou, Jiangfeng Luo, Peibin Gong, Ya Ji, Lei Zhang
CO2, used as an environmentally friendly fracturing fluid, has encountered a bottleneck in development in recent years. Despite great efforts in research work, limited progress has been made in field applications. In this study, an extensive literature review of research work and field cases was performed to summarize the technical issues and challenges of CO2 fracturing. The key issues of CO2 fracturing
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A novel model to predict phase equilibrium state of hydrates from the relationship of gas solubility Front. Energy Res. (IF 3.4) Pub Date : 2024-03-14 Jianbing Jiang, Jianxun Jiang, Jinchen Mao, Dong Li, Tuanhui Liu, Zhong Pan
The study of hydrate phase equilibrium is crucial for ensuring the safety of natural gas pipeline transportation and the process of hydrate recovery. While scientists typically focus on the chemical potential of hydrates, the role of gas solubility in hydrate phase equilibrium remains unclear, and this study fills this gap. This work investigated the solubility of gas at the equilibrium point of the
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A series fault arc detection method based on denoising autoencoder and deep residual network Front. Energy Res. (IF 3.4) Pub Date : 2024-03-14 Jianyuan Wang, Xue Li, Yuhui Zhang
Given the problem that the existing series arc fault identification methods use existing features such as the time-frequency domain of the current signal as the basis for identification, resulting in relatively limited arc detection solutions, and that the methods of directly extracting current signal features using deep learning algorithms have insufficient feature extraction, a new series arc fault
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Robust fault recovery strategy for multi-source flexibly interconnected distribution networks in extreme disaster scenarios Front. Energy Res. (IF 3.4) Pub Date : 2024-03-14 Tang Baofeng, He Lei, Zhou Lidong, Zhao Hongtao, Wang Kang, Zhang Pengliang
To enhance the resilience of power distribution networks against extreme natural disasters, this article introduces a robust fault recovery strategy for multi-source, flexible interconnected power distribution networks, particularly under scenarios of extreme disasters. Initially, the comprehensive risk of system failure due to ice load on distribution lines and poles is fully considered, and a model
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Large-scale deep reinforcement learning method for energy management of power supply units considering regulation mileage payment Front. Energy Res. (IF 3.4) Pub Date : 2024-03-14 Ting Qian, Cheng Yang
To improve automatic generation control (AGC) performance and reduce the wastage of regulation resources in interconnected grids including high-proportion renewable energy, a multi-area integrated AGC (MAI-AGC) framework is proposed to solve the coordination problem of secondary frequency regulation between different areas. In addition, a cocktail exploration multi-agent deep deterministic policy gradient
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Scale-sensitivity analysis for floating energy production system with anti-motion structure under high sea conditions Front. Energy Res. (IF 3.4) Pub Date : 2024-03-13 Hongtao Yuan, Yi Chen, Mingxin Li, Linfeng Chen, Xu Bai, Yongzheng Li
The heave motion of a new cylindrical floating drilling production storage and offloading system (FDPSO) with extended cylinder, anti-motion structure and a gap between the extended cylinder and anti-motion structure under high sea conditions was investigated by implementing numerical simulations for its reduced-scale laminar flow model (1:77.8) using the CFD software STAR-CCM+. The effect of changing
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Analyzing grid connected shaded photovoltaic systems with steady state stability and crow search MPPT control Front. Energy Res. (IF 3.4) Pub Date : 2024-03-13 Mouna Ben Smida, Ahmad Taher Azar, Anis Sakly, Ibrahim A. Hameed
The field of research in maximum power point tracking (MPPT) methods is making significant progress with a wide range of techniques, from simple yet inefficient approaches to more complex but effective ones. Therefore, it is important to suggest a simple and effective strategy to control the global maximum power point (GMPP) of a photovoltaic (PV) system especially under partial shading conditions
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A two-phase, multi-component model for efficient CO2 storage and enhanced gas recovery in low permeability reservoirs Front. Energy Res. (IF 3.4) Pub Date : 2024-03-13 Xiangzeng Wang, Quan Zhang, Yongping Wan
Introduction: Carbon dioxide (CO2) enhanced gas recovery represents a viable strategy for sequestering CO2 while concurrently augmenting gas production from subsurface reservoirs. Gas reservoirs, as inherent geological formations, are optimal repositories for gaseous compounds, rendering them suitable for CO2 storage. Nevertheless, the economic viability of pure CO2 storage necessitates integration
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Generating adversarial deep reinforcement learning -based frequency control of Island City microgrid considering generalization of scenarios Front. Energy Res. (IF 3.4) Pub Date : 2024-03-13 Houtianfu Wang, Zhecong Zhang, Qixin Wang
The increasing incorporation of new energy sources into power grids introduces significant variability, complicating traditional load frequency control (LFC) methods. This variability can cause frequent load disturbances and severe frequency fluctuations in island city microgrids, leading to increased generation costs. To tackle these challenges, this paper introduces a novel Data knowledge-driven
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Techno-economic feasibility assessment and performance analysis of standalone solar photo voltaic-biomass hybrid system with optimized storage: a case study—Grand Bassa, Liberia Front. Energy Res. (IF 3.4) Pub Date : 2024-03-13 Jackson G. White, Ravi Samikannu, Moses Tunde Oladiran, Abid Yahya, Patricia Makepe, Gladys Gamariel, Nyagong Santino David Ladu, Bokang Agripa Tlhabologo, Maruliya Begam Kadarmydeen, Kanimozhi Gunasekaran, Lilian Amuhaya
Introduction: Liberia has a significant obstacle in terms of restricted power accessibility, as only 26.7% of its populace have access to electrical energy. To tackle this issue, there is a collaborative effort between the government and private sector to undertake energy projects aimed at enhancing the power supply of the grid. The purpose of this study is to evaluate the techno-economic feasibility
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Cooperative control of the DC-link voltage in VSC-MTDC grid via virtual synchronous generators Front. Energy Res. (IF 3.4) Pub Date : 2024-03-12 Huachun Han, Qun Li, Qiang Li
Introduction: Virtual Synchronous Generators (VSGs) are used in Voltage Source Converter-based Multi-Terminal High-Voltage Direct Current (VSC-MTDC) systems to enhance power system stability. However, the MTDC framework can lead to instability due to reduced inertia in certain grid areas, especially during load switching at VSC stations. This instability is exacerbated by untimely adjustments of the
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Modelling and optimizing microgrid systems with the utilization of real-time residential data: a case study for Palapye, Botswana Front. Energy Res. (IF 3.4) Pub Date : 2024-03-11 T. B. Seane, Ravi Samikannu, Moses Tunde Oladiran, Abid Yahya, Patricia Makepe, Gladys Gamariel, Maruliya Begam Kadarmydeen, Nyagong Santino David Ladu, Heeravathi Senthamarai
Microgrids are becoming a realistic choice for residential buildings due to the increasing need for affordable and sustainable energy solutions in developing nations. Through modeling and simulation, the main goal is to evaluate the viability and performance of a solar microgrid system. Residential load modeling is used, which is vital to developing an effective Energy Management System (EMS) for the
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Quantum chemical calculation study on the thermal decomposition of electrolyte during lithium-ion battery thermal runaway Front. Energy Res. (IF 3.4) Pub Date : 2024-03-08 Yao Tian, Yun Zhao, Yuqiong Kang, Junru Wu, Yuefeng Meng, Xia Hu, Ming Huang, Bo Lan, Feiyu Kang, Baohua Li
Understanding the behavior of lithium-ion battery electrolytes during thermal runaway is essential for designing safer batteries. However, current reports on electrolyte decomposition behaviors often focus on reactions with electrode materials. Herein we use quantum chemical calculations to develop a model for the thermal decomposition mechanism of electrolytes under both electrolyte and ambient atmosphere
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An improved optical length research on the physical boundary of particle-dispersed fuel Front. Energy Res. (IF 3.4) Pub Date : 2024-03-08 Pengfei Liu, Yuqing Chen, Song Li, Lei Lou
The Volumetric Homogenization Method (VHM) is one of the most commonly used methods for neutronics calculation in reactors or components. However, the use of VHM for the Double-Heterogeneous (DH) System may lead to a large deviation in reactivity calculation. The deviation of DH System using the VHM can be expressed by the theoretically modified optical length. When the theoretically modified optical
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A bolt defect detection method for transmission lines based on improved YOLOv5 Front. Energy Res. (IF 3.4) Pub Date : 2024-03-08 Hongbo Zou, Jialun Sun, Ziyong Ye, Jinlong Yang, Changhua Yang, Fengyang Li, Li Xiong
To solve the problem of bolt defects in unmanned aerial vehicle inspection that are difficult to identify quickly and accurately, this paper proposes a defect detection method based on the improved YOLOv5 anchor mechanism. Firstly, the Normalized Wasserstein distance (NWD) evaluation metric and the Intersection over Union evaluation metric are combined, and the experiment determines the appropriate
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Deep learning-based dynamic forecasting method and application for ultra-deep fractured reservoir production Front. Energy Res. (IF 3.4) Pub Date : 2024-03-08 Ziyan Deng, Dongsheng Zhou, Zhijiang Kang, Hezheng Dong
Addressing the complex challenges in dynamic production forecasting for the deep-ultra-deep fractured carbonate reservoirs in the Tarim Basin’s Tahe Oilfield, characterized by numerous influencing factors, strong temporal variations, high non-linearity, and prediction difficulties, We proposes a prediction method based on Gated Recurrent Unit networks (GRU). Initially, the production data and influencing
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Challenges and opportunities for the built environment in a carbon-constrained world for the next 100 years and beyond Front. Energy Res. (IF 3.4) Pub Date : 2024-03-07 Ah-Hyung Alissa Park, Jonah M. Williams, Julio Friedmann, David Hanson, Shiho Kawashima, Volker Sick, Mahmoud Reda Taha, Jennifer Wilcox
Today, the built environment, including infrastructure for tunnels, bridges, highways, subways, railroads, harbors, buildings and airports, is responsible for a significant portion of the energy consumption, natural resource utilization, waste generation as well as CO2 and other environmentally harmful emissions in the United States and around the world. There is no silver bullet solution to achieve
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Adaptive compound power quality disturbance detection via OMD and improved networks for renewable energy systems Front. Energy Res. (IF 3.4) Pub Date : 2024-03-07 Shuangxi Wu, Yang Liu, Yu Zhu, Huangqing Xiao, Zhan Zhang, Ping Yang
In the evolving landscape of power systems, the integration of various renewable energy resources (RERs) introduces complex challenges, particularly in maintaining power quality, which are paramount for system stability. To address this issue, an adaptive power quality disturbance (PQD) detection framework is implemented in this paper. First, the optimal mode decomposition (OMD) is developed to decompose
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Research and analysis of electromagnetic interference of a motor drive control system based on PMSM with SiC MOSFET for new energy electric vehicles Front. Energy Res. (IF 3.4) Pub Date : 2024-03-07 Chi Zhang, Jasronita Jasni, Mohd Amran Mohd Radzi, Norhafiz Azis, Xiangming He
Sustainable development in the 21st century faces significant challenges due to finite reserves of fossil fuels and environmental pollution. In the context of new energy electric vehicles (NEEVs), the wide-bandgap semiconductor known as the silicon carbide–metal oxide–semiconductor field-effect transistor (SiC MOSFET) and the permanent magnet synchronous motor (PMSM) have emerged as advantageous sources
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Optimal scheduling of electricity-hydrogen coupling virtual power plant considering hydrogen load response Front. Energy Res. (IF 3.4) Pub Date : 2024-03-07 Wenyun Luo, Tong Xu, Peinan Fan, Haoran Li, Xiaobin Yan, Yong Zheng, Rui Ma, Yang Luo
With the rapid development of hydrogen production by water electrolysis, the coupling between the electricity-hydrogen system has become closer, providing an effective way to consume surplus new energy generation. As a form of centralized management of distributed energy resources, virtual power plants can aggregate the integrated energy production and consumption segments in a certain region and participate
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Numerical study of hydraulic fractures propagation in deep fracture-cavity reservoir based on continuous damage theory Front. Energy Res. (IF 3.4) Pub Date : 2024-03-07 Hengjie Luan, Mingkang Liu, Qinglin Shan, Yujing Jiang, Bo Li, Changsheng Wang, Xianzhen Cheng
Natural fractures and cavities are the primary spaces for oil and gas accumulation in fracture-cavity carbonate reservoirs. Establishing the connection between these spaces and the wellbore through hydraulic fracturing treatment is important for oil and gas extraction from such reservoirs. Due to the discontinuity and heterogeneity of the existing natural fracture-cavity system, anticipating the viability
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A light-blocking greenhouse film differentially impacts climate control energy use and capsicum production Front. Energy Res. (IF 3.4) Pub Date : 2024-03-07 Terry Lin, Chelsea R. Maier, Weiguang Liang, Norbert Klause, Jing He, David T. Tissue, Yi-Chen Lan, Subbu Sethuvenkatraman, Mark Goldsworthy, Zhong-Hua Chen
High-tech protected cropping holds great potential to improve global food security, but high cooling energy costs in warm climates pose difficulties in propagating the industry. Emerging technologies, such as diffuse glasses fitted with photoselective thin films, have interactions with crops and other cooling technologies which are not well-characterized for warm-climate glasshouses. A light-blocking
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Frequency prediction of a post-disturbance power system using a hybrid ARIMA and DBN model Front. Energy Res. (IF 3.4) Pub Date : 2024-03-07 Huimin Wang, Zhaojun Steven Li, Jun Pan, Wenhua Chen
The online prediction of power system dynamic frequency helps to guide the choice of control measures quickly and accurately after a disturbance, and this then ensures the reliable and stable operations of a power system. However, the prediction performance of the traditional single model is not accurate enough, and the prediction method cannot reflect the dynamic mechanism of the power system. To
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Multi-objective optimization of the organic Rankine cycle cascade refrigeration cycle driven by sugar mills waste heat Front. Energy Res. (IF 3.4) Pub Date : 2024-03-07 Zongrun Wang, Wei Guan, Song Zhang, Hailang Sang, Wenshuai Que, Lu Liang
The research on the recovery of low-grade thermal energy carried away by boiler flue gas is significant for sugar mills. This paper designs a waste heat recovery system based on sugar plant flue gas, integrating absorption refrigeration cycle and the organic Rankine cycle, and the effects of nine working fluids on the system are investigated. The aim is to realize the multi-form conversion of energy
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Modelling and onsite testing on dynamic thermal responses of built environment in passive solar rooms on Tibetan plateau Front. Energy Res. (IF 3.4) Pub Date : 2024-03-06 Yin Zhang, Wenyang Han, Yicong Qi
It of great importance in assessing built thermal environment level and evaluating corresponding indoor air conditioning demand for energy conservation in construction sectors. Nevertheless, because of the unique meteorological features in plateau area, classical building performance simulation approach contributes to thermal performance evaluation errors since most design codes or standards relies
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Study on optimization and mechanism of CO2 injection to enhance oil recovery in mid-deep heavy oil reservoirs Front. Energy Res. (IF 3.4) Pub Date : 2024-03-06 Xiaokun Zhang, Zongyao Qi, Bojun Wang, You Zhou, Chao Wang, Changfeng Xi, Pengcheng Liu
In order to improve the oil recovery of mid-deep heavy oil reservoirs, this study investigates the efficiency of enhanced oil recovery and the mechanisms of oil displacement in mid-deep heavy oil reservoirs using different injected gases (N2, CH4, CO2) and development approaches (gas flooding and gas huff-n-puff) through a series of experiments. These experiments include high-pressure physical properties
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Research on hydro-photovoltaic complementary analysis of Yangfanggou hydropower station on Yalong River Front. Energy Res. (IF 3.4) Pub Date : 2024-03-06 Bin He, Weixuan Yin, Guohua Liang, Lei Jiang
Hydropower and photovoltaic power are widely used as clean energy sources around the world. Hydro-Photovoltaic complementary is precisely the use of the regulation performance of hydropower stations and the peak regulation performance of PV electric fields to improve the system’s power generation efficiency. The Yalong River basin as one of China’s clean energy bases, is rich in water and light resources
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An analytical method for free vibrations of the fuel rod with non-uniform mass of small modular reactor Front. Energy Res. (IF 3.4) Pub Date : 2024-03-06 Guowei Yang, Yong Zhang, Tiandi Fan, Yong Song, Yunqing Bai
The intricate internal structure of fuel rods results in a non-uniform mass distribution, making it imperative to employ analytical methods for accurate assessment. The study utilizes Euler beam theory to derive the transverse vibration equation for beams with varying mass distribution. The approach involves transforming the non-uniform mass beam into a multi-segment beam with concentrated mass points
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Structural and chemical changes in hardwood cell walls during early stages of flash pyrolysis Front. Energy Res. (IF 3.4) Pub Date : 2024-03-06 Jake K. Lindstrom, Chad A. Peterson, Peter N. Ciesielski, John Ralph, Mingjie Chen, Joseph E. Jakes, Patrick A. Johnston, Sean A. Rollag, Robert C. Brown
Volatile products from thermal decomposition of lignocellulosic biomass have been well characterized, but the solid- and liquid-phase reactions during the early stages of decomposition are largely unknown. Here the initial solid-phase biomass thermal deconstruction reactions were analyzed in situ and with high particle heating rates, delineating how these processes occur. A variety of instrumentation
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Dynamic planning of edge sensing terminals in distribution network supporting distributed resources observable and controllable Front. Energy Res. (IF 3.4) Pub Date : 2024-03-06 Xiaotong Ji, Dan Liu, Yanyu Yan, Ping Xiong, Yuce Sun, Zhiduan Yang
With the advancement of low-carbon distribution networks, the heightened stochasticity introduced by a multitude of renewable energy sources in the power grid has significantly augmented the regulatory challenges faced by the power grid. Dispatching distributed resources emerges as an effective solution to this issue. However, these resources often lack observability and controllability, hindering
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Filtering characteristics of parallel-connected fixed capacitors in LCC-HVDC considering the variations of system strength Front. Energy Res. (IF 3.4) Pub Date : 2024-03-06 Conghuan Yang, Qingtao Zhang, Zhiyi Zhao
The AC power system strength exhibits time-varying characteristics during operation, thereby affecting the filtering performance of filters in the system. Failure to account for this variability may result in the harmonic levels exceeding permissible limits under specific power system strength, thereby affecting the normal operation of the power system. Consequently, building upon the existing filtering
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Enhancing grid-connected inverter performance under non-ideal grid conditions: a multi-functional multiplexing control strategy Front. Energy Res. (IF 3.4) Pub Date : 2024-03-05 Xianwen Bao, Lirong Zhang
Compared to the traditional thermal power generation, new energy sources, such as wind and photovoltaic systems, are more vulnerable to the effects of non-ideal power grids due to their limited capacity. This susceptibility can jeopardize the safe operation of power equipment, degrade power output quality, and lead to non-compliance with grid-connected specifications. The LCL-type grid-connected inverter
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Frequency emergency control strategy in power systems considering the participation of energy storage clusters Front. Energy Res. (IF 3.4) Pub Date : 2024-03-05 Yang Liu, Pingping Xie, Guobing Wu, Yue Chen, Xu Lin, Qiuyu Lu
Recently, the power systems with a high penetration of renewables and power electronics have come into being. In these power systems, complex system dynamics, emergency faults, and insufficient frequency regulation reserve pose threats to system frequency stability. Based on the clustering development of energy storage, to ensure the system frequency stability when emergency faults occur, this paper
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Development of AVR controller performance using exponential distribution and transit search optimization techniques Front. Energy Res. (IF 3.4) Pub Date : 2024-03-05 Mohamed S. Amin, Mahmoud A. Attia, Amr K. Khamees, S. F. Mekhamer, Hossam Kotb, Kareem M. AboRas, Amr Yousef
This paper attempts to obtain the optimal solution to enhance the performance of the Automatic Voltage Regulator (AVR) Controller, as it is an essential tool to control the synchronous generator output voltage. The controller improves AVR system stability and response time; moreover, it is demonstrated that the Proportional Integral Derivative (PID) controller achieves the goal by applying two artificial
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MHD viscoelastic nanofluid flow across an extended plate using mixed convection and thermal radiation Front. Energy Res. (IF 3.4) Pub Date : 2024-03-05 Safyan Mukhtar, Siddra Rana, Muavia Mansoor, Tayyaba Arooj, Qazi Mahmood Ul Hassan, Rasool Shah
Opportunities for magnetohydrodynamic mixed convection include modeling firefighting, combustion engineering, and cooling of electronic components. Nanotechnology has just provided a novel passive technique for improving heat transfer. Structured colloidal suspensions of magnetite nanoparticles in a base fluid are known as magneto nanofluids, and they are intended for use in thermal transfer uses,
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Optimization method of time-of-use electricity price for the cost savings of power grid investment Front. Energy Res. (IF 3.4) Pub Date : 2024-03-05 Li Dengfeng, Li Zhonghao, Li Xiaoju, Yu Juan, Yang Mincai, Lei Xinyu
The concept of time-of-use (TOU) electricity pricing is widely recognized as a key strategy to bridge the gap between electricity availability and consumption, enhance the efficiency of electricity, and refine the patterns of electricity usage. Nonetheless, the existing policy on pricing electricity based on TOU electricity pricing is missing a theoretical approach that evaluates the load properties
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Research on data-driven power flow calculation method based on undirected-graph delooping-backtracking Front. Energy Res. (IF 3.4) Pub Date : 2024-03-05 Hong Zhu, Zijian Hu, Zichen Liu, Yandi Wang
As the scale of the power grid expands and distributed energy sources are integrated, along with the emergence of random loads, topological control of distribution networks has become a novel means of control. Therefore, data-driven power flow calculations must be capable of rapidly and accurately computing power flow results even when there are changes in the network’s topology. In this paper, a data-driven
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A study on the application of discrete curvature feature extraction and optimization algorithms to battery health estimation Front. Energy Res. (IF 3.4) Pub Date : 2024-03-04 Hui Hwang Goh, Zhen An, Dongdong Zhang, Wei Dai, Tonni Agustiono Kurniawan, Kai Chen Goh
Lithium-ion batteries are extensively utilised in various industries and everyday life. Typically, these batteries are considered retired when their state of health (SOH) drops below 80%. These retired batteries, known as secondary batteries, can be repurposed for applications that demand lower battery performance. Precise forecasting of the lifespan of secondary batteries is crucial for determining
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Analysis of stability in pedestrian downhill roadway at Yindonggou 11th coal mine area: the impact of anchor cable support density Front. Energy Res. (IF 3.4) Pub Date : 2024-03-04 Li Jinbao
The study of cable support density’s impact on the stability of rock in mine roadways is vital for personnel safety, equipment protection, and mining operations continuity. This research examines a typical engineering scenario within the 11th mining area pedestrian downhill roadway of Yindonggou Mine. A numerical model is devised, accounting for post-peak evolution of mechanical parameters in the surrounding
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Modeling and simulation of a Renzoku puzzle pattern-based PV array configuration for a partially shaded PV system Front. Energy Res. (IF 3.4) Pub Date : 2024-03-01 Belqasem Aljafari, Praveen Kumar Balachandran, Devakirubakaran Samithas, Sudhakar Babu Thanikanti, Nnamdi I. Nwulu
The world depends heavily on electrical energy for accessing technologies. For the generation of electricity, technology can utilize renewable energy sources like solar energy and wind energy. Solar photovoltaic (PV) systems occupy space among consumers due to their feasibility, flexibility, cost, and simple implementation procedures. The solar PV system experiences many factors causing power loss
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Numerical investigation on the exhaust gas combustion of an SOFC in a catalytic multichannel burner Front. Energy Res. (IF 3.4) Pub Date : 2024-03-01 Yao Yanyi, Yang Weijuan, Chen Jingyi, Zhu Xiaoyu, Zhou Junhu
The utilization of the exhaust gas of a solid oxide fuel cell is important to improve the energy efficiency and control pollutant emission. In this work, the combustion of solid oxide fuel cell exhaust gas (H2/CO) in a honeycomb ceramic catalytic burner is investigated numerically. A 2D numerical combustion model with 17 channels is built to analyze the influence of channel position on thermal performance
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Regional differences and improvement potential of carbon emission efficiency in China’s power industry: insights from meta-frontier DEA model considering integer constraints Front. Energy Res. (IF 3.4) Pub Date : 2024-03-01 Xiang Huang, Ruizeng Zhao
Previous studies on the carbon emission efficiency (CEE) in the power industry have neglected concerns related to regional heterogeneity and the integer character of certain indicators. In response to these issues, this study proposes a meta-frontier DEA model that integrates integer constraints for evaluating the CEE of China’s provincial power industry from 2011 to 2021. This study also proposes
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Synchronized measurement method for urban distribution networks based on proportional-integral control Front. Energy Res. (IF 3.4) Pub Date : 2024-02-29 Xiaodong Yin, Jicheng Yu, Siyuan Liang, Junjie Liu, Jian Wang, Cheng Liu, Wangwang Ding
In the context of the rising prevalence of renewable energy, the need for precise and synchronized measurements in urban distribution networks has become increasingly critical. Conventional synchronization techniques, which predominantly depend on Global Navigation Satellite System (GNSS) timing signals, are often plagued by significant sampling time errors. Addressing this challenge, this study introduces
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Optimization and analysis of distributed power carrying capacity of distribution network based on DR-DQN Front. Energy Res. (IF 3.4) Pub Date : 2024-02-29 Zhichun Yang, Fan Yang, Huaidong Min, Yu Liu, Nan Zhang, Hao Zeng
The booming development of distributed power sources in power systems has drawn attention to the carrying capacity and stability of the power grid, becoming a key challenge for the power industry. This study aims to develop a comprehensive deep learning model by combining deep recurrent double Q network (DR-DQN) and deep convolutional neural network (DCNN), and use meta-learning to optimize the model
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A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm Front. Energy Res. (IF 3.4) Pub Date : 2024-02-28 Xianjing Zhong, Xianbo Sun, Yuhan Wu
Endeavoring to enhance the penetration rate of renewable energy sources, concurrently ensuring economic and operational stability, this study proposes a novel bi-layer optimization method of the wind–solar-storage AC/DC microgrid (MG). First, by incorporating a superordinate electric and seasonal hydrogen hybrid energy storage system (E&SHESS), the topology structure of the microgrid is established
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Environmental impact analysis of lithium iron phosphate batteries for energy storage in China Front. Energy Res. (IF 3.4) Pub Date : 2024-02-28 Xin Lin, Wenchuan Meng, Ming Yu, Zaimin Yang, Qideng Luo, Zhi Rao, Tiangang Zhang, Yuwei Cao
The deployment of energy storage systems can play a role in peak and frequency regulation, solve the issue of limited flexibility in cleaner power systems in China, and ensure the stability and safety of the power grid. This paper presents a comprehensive environmental impact analysis of a lithium iron phosphate (LFP) battery system for the storage and delivery of 1 kW-hour of electricity. Quantities
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Short-term optimization scheduling method of cascade hydropower and photovoltaic complementary system based on pumping station operation strategy Front. Energy Res. (IF 3.4) Pub Date : 2024-02-28 Liu Hanxuan, Shi Linjun, Fu Hao, Wu Feng
With the rapid development of photovoltaic power generation, how to improve the photovoltaic grid connection rate is an urgent problem to be solved. This article proposes an optimized scheduling method for the water and photovoltaic complementary system, taking into account the operation strategy of pump stations to improve the photovoltaic grid connection rate. Firstly, a multi-objective optimization
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A study of home energy management considering carbon quota Front. Energy Res. (IF 3.4) Pub Date : 2024-02-28 Ren Yucheng, Huang Li, Cao Xiaodong, Huang Yixuan, Zhang Yanan
The household energy management system (HEMS) has become an important system for energy conservation and emission reduction. In this study, home energy management considering carbon quota has been established. Firstly, the household photovoltaic output model, load model of various electrical appliances, battery load model, and charging and discharging of electric vehicles (EVs) model are established
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The adsorption and desorption processes of organic working fluids R1234yf, R134a, R32 in MOF-5 and Co-MOF-74: a molecular simulation study Front. Energy Res. (IF 3.4) Pub Date : 2024-02-27 Xinping Chen
The combination of nanoporous materials with organic working fluids holds the promise of further enhancing the performance of refrigerants based thermodynamics cycles. In this study, the adsorption and desorption properties of several organic refrigerants, e.g., R1234yf, R134a, R32, and their mixtures in metal-organic framework materials MOF-5 and Co-MOF-74 are investigated via molecular dynamics methods
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Numerical simulation and application of ground stress field in ultra-deep strike-slip faults—taking the FI12 fault zone in the Fuman Oilfield as an example Front. Energy Res. (IF 3.4) Pub Date : 2024-02-27 Yu Zhang, Ke Xu, Hui Zhang, Shujun Lai, Jingrui Liang, Ziwei Qian
This study carried out a research on the distribution characteristics of the geostress field of ultra-deep strike-slip faults, aiming to improve the exploration efficiency and development benefits of ultra-deep fault-controlled reservoirs. This study combines multiple geological information, drilling information, seismic data, and seismic attribute analysis. Taking the FI12 fault zone in the Fengman
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Reliability centered condition-based maintenance of zinc oxide lightning arresters: concept, process and case study Front. Energy Res. (IF 3.4) Pub Date : 2024-02-26 Fan Yang, Rui Han, Yu Zheng, Peng Jiang, Wenhao Wang, Xuzhu Dong
Introduction: The reliability of power equipment is the foundation for maintaining the reliability of the power grid. As a core device for limiting overvoltage in the power grid, lightning arresters have received widespread attention, and ensuring their reliability is crucial.Methods: To improve the reliability of zinc oxide surge arresters in the power system, the fault characteristics and health
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Power system operational reliability assessment based on the data center energy consumption elastic space Front. Energy Res. (IF 3.4) Pub Date : 2024-02-26 Sheng Zhang, Jinkun Gao, Hao Qian, Juan Yu, Shaojie Luo, Qiang Guo
In the era of big data, data centers with high energy consumption, interconnectivity, and load flexibility have developed rapidly. However, due to data privacy issues, the traditional power-system operational reliability assessment (ORA) struggles to precisely consider the load flexibility of data centers, leading to inaccurate evaluation. To this end, this article proposes an ORA method considering