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  • Open Access

    ARTICLE

    Study of the Transport Behavior of Multispherical Proppant in Intersecting Fracture Based on Discrete Element Method

    Chengyong Peng1, Jianshu Wu1, Mao Jiang1, Biao Yin2,3,*, Yishan Lou2,3
    Energy Engineering, DOI:10.32604/ee.2024.056062
    (This article belongs to the Special Issue: Hydraulic Fracturing Theory and Application for Geo-energy Development)
    Abstract To analyze the differences in the transport and distribution of different types of proppants and to address issues such as the short effective support of proppant and poor placement in hydraulically intersecting fractures, this study considered the combined impact of geological-engineering factors on conductivity. Using reservoir production parameters and the discrete element method, multispherical proppants were constructed. Additionally, a 3D fracture model, based on the specified conditions of the L block, employed coupled (Computational Fluid Dynamics) CFD-DEM (Discrete Element Method) for joint simulations to quantitatively analyze the transport and placement patterns of multispherical proppants in… More >

  • Open Access

    ARTICLE

    Method for Estimating the State of Health of Lithium-ion Batteries Based on Differential Thermal Voltammetry and Sparrow Search Algorithm-Elman Neural Network

    Yu Zhang, Daoyu Zhang*, Tiezhou Wu
    Energy Engineering, DOI:10.32604/ee.2024.056244
    (This article belongs to the Special Issue: Advanced Modelling, Operation, Management and Diagnosis of Lithium Batteries)
    Abstract Precisely estimating the state of health (SOH) of lithium-ion batteries is essential for battery management systems (BMS), as it plays a key role in ensuring the safe and reliable operation of battery systems. However, current SOH estimation methods often overlook the valuable temperature information that can effectively characterize battery aging during capacity degradation. Additionally, the Elman neural network, which is commonly employed for SOH estimation, exhibits several drawbacks, including slow training speed, a tendency to become trapped in local minima, and the initialization of weights and thresholds using pseudo-random numbers, leading to unstable model performance.… More >

  • Open Access

    ARTICLE

    Dispatchable Capability of Aggregated Electric Vehicle Charging in Distribution Systems

    Shiqian Wang1, Bo Liu1, Yuanpeng Hua1, Qiuyan Li1, Binhua Tang2,*, Jianshu Zhou2, Yue Xiang2
    Energy Engineering, DOI:10.32604/ee.2024.054867
    Abstract This paper introduces a method for modeling the entire aggregated electric vehicle (EV) charging process and analyzing its dispatchable capabilities. The methodology involves developing a model for aggregated EV charging at the charging station level, estimating its physical dispatchable capability, determining its economic dispatchable capability under economic incentives, modeling its participation in the grid, and investigating the effects of different scenarios and EV penetration on the aggregated load dispatch and dispatchable capability. The results indicate that using economic dispatchable capability reduces charging prices by 9.7% compared to physical dispatchable capability and 9.3% compared to disorderly More >

  • Open Access

    ARTICLE

    Remaining Life Prediction Method for Photovoltaic Modules Based on Two-Stage Wiener Process

    Jie Lin*, Hongchi Shen, Tingting Pei, Yan Wu
    Energy Engineering, DOI:10.32604/ee.2024.055611
    Abstract Photovoltaic (PV) modules, as essential components of solar power generation systems, significantly influence unit power generation costs. The service life of these modules directly affects these costs. Over time, the performance of PV modules gradually declines due to internal degradation and external environmental factors. This cumulative degradation impacts the overall reliability of photovoltaic power generation. This study addresses the complex degradation process of PV modules by developing a two-stage Wiener process model. This approach accounts for the distinct phases of degradation resulting from module aging and environmental influences. A power degradation model based on the More >

  • Open Access

    ARTICLE

    Market Drivers in India’s Smart Grid: Responsibilities and Roles of Stakeholders

    Abhay Sanatan Satapathy1, Suresh Kumar Sahoo1, Asit Mohanty2,3, Yasser Fouad4, Manzoore Elahi Mohammad Soudagar5,6,7, Erdem Cuce8,9,10,*
    Energy Engineering, DOI:10.32604/ee.2024.055105
    Abstract The emergence of smart grids in India is propelled by an intricate interaction of market dynamics, regulatory structures, and stakeholder obligations. This study analyzes the primary factors that are driving the widespread use of smart grid technologies and outlines the specific roles and obligations of different stakeholders, such as government entities, utility companies, technology suppliers, and consumers. Government activities and regulations are crucial in facilitating the implementation of smart grid technology by offering financial incentives, regulatory assistance, and strategic guidance. Utility firms have the responsibility of implementing and integrating smart grid infrastructure, with an emphasis More >

  • Open Access

    ARTICLE

    Modeling and Capacity Configuration Optimization of CRH5 EMU On-Board Energy Storage System

    Mingxing Tian*, Weiyuan Zhang, Zhaoxu Su
    Energy Engineering, DOI:10.32604/ee.2024.057426
    Abstract In the context of the “dual carbon” goals, to address issues such as high energy consumption, high costs, and low power quality in the rapid development of electrified railways, this study focused on the China Railways High-Speed 5 Electric Multiple Unit and proposed a mathematical model and capacity optimization method for an on-board energy storage system using lithium batteries and supercapacitors as storage media. Firstly, considering the electrical characteristics, weight, and volume of the storage media, a mathematical model of the energy storage system was established. Secondly, to tackle problems related to energy consumption and… More >

  • Open Access

    ARTICLE

    Integrated Equipment with Functions of Current Flow Control and Fault Isolation for Multiterminal DC Grids

    Shuo Zhang1,2, Guibin Zou1,*
    Energy Engineering, DOI:10.32604/ee.2024.057452
    (This article belongs to the Special Issue: Emerging Technologies for Future Smart Grids)
    Abstract The multi-terminal direct current (DC) grid has extinctive superiorities over the traditional alternating current system in integrating large-scale renewable energy. Both the DC circuit breaker (DCCB) and the current flow controller (CFC) are demanded to ensure the multiterminal DC grid to operates reliably and flexibly. However, since the CFC and the DCCB are all based on fully controlled semiconductor switches (e.g., insulated gate bipolar transistor, integrated gate commutated thyristor, etc.), their separation configuration in the multiterminal DC grid will lead to unaffordable implementation costs and conduction power losses. To solve these problems, integrated equipment with… More >

  • Open Access

    REVIEW

    Hydrogen Energy Storage System: Review on Recent Progress

    Millenium Wong1, Hadi Nabipour Afrouzi2,*
    Energy Engineering, DOI:10.32604/ee.2024.056707
    Abstract A hydrogen energy storage system (HESS) is one of the many rising modern green innovations, using excess energy to generate hydrogen and storing it for various purposes. With that, there have been many discussions about commercializing HESS and improving it further. However, the design and sizing process can be overwhelming to comprehend with various sources to examine, and understanding optimal design methodologies is crucial to optimize a HESS design. With that, this review aims to collect and analyse a wide range of HESS studies to summarise recent studies. Two different collections of studies are studied,… More >