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  • Open Access

    ARTICLE

    Temperature Control Performance and Cooling Release Characteristics of PCM in Large Space: Case Study of Cold Storage

    Zhengrong Shi1,3, Hai Hong1, Yanming Shen2,*, Jingyong Cai1,*

    Energy Engineering, Vol.122, No.3, pp. 885-903, 2025, DOI:10.32604/ee.2025.061976 - 07 March 2025

    Abstract Phase Change Material (PCM)-based cold energy storage system (CESS) can effectively utilize the peak and valley power resources to reduce the excessive dependence on the power grid. In this study, a PCM-based CESS was designed for cold storage applications. The optimal number of PCM plates was determined through numerical simulations to meet the required cold storage temperature and control time. Additionally, the air temperature field, flow field, and melting characteristics of the PCM plates during the cooling release process were analyzed. The effects of plate positioning and thickness on the cooling release performance were further… More >

  • Open Access

    ARTICLE

    Correlation Analysis of Power Quality and Power Spectrum in Wind Power Hybrid Energy Storage Systems

    Jian Gao1, Hongliang Hao2, Caifeng Wen1,*, Yongsheng Wang3, Zhanhua Han4, Edwin E. Nykilla2, Yuwen Zhang2

    Energy Engineering, Vol.122, No.3, pp. 1175-1198, 2025, DOI:10.32604/ee.2025.061083 - 07 March 2025

    Abstract Power quality is a crucial area of research in contemporary power systems, particularly given the rapid proliferation of intermittent renewable energy sources such as wind power. This study investigated the relationships between power quality indices of system output and PSD by utilizing theories related to spectra, PSD, and random signal power spectra. The relationship was derived, validated through experiments and simulations, and subsequently applied to multi-objective optimization. Various optimization algorithms were compared to achieve optimal system power quality. The findings revealed that the relationships between power quality indices and PSD were influenced by variations in More >

  • Open Access

    ARTICLE

    CCHP-Type Micro-Grid Scheduling Optimization Based on Improved Multi-Objective Grey Wolf Optimizer

    Yu Zhang*, Sheng Wang, Fanming Zeng, Yijie Lin

    Energy Engineering, Vol.122, No.3, pp. 1137-1151, 2025, DOI:10.32604/ee.2025.060945 - 07 March 2025

    Abstract With the development of renewable energy technologies such as photovoltaics and wind power, it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through algorithm improvement. To reduce the operational costs of micro-grid systems and the energy abandonment rate of renewable energy, while simultaneously enhancing user satisfaction on the demand side, this paper introduces an improved multi-objective Grey Wolf Optimizer based on Cauchy variation. The proposed approach incorporates a Cauchy variation strategy during the optimizer’s search phase to expand its exploration range and minimize the likelihood of… More > Graphic Abstract

    CCHP-Type Micro-Grid Scheduling Optimization Based on Improved Multi-Objective Grey Wolf Optimizer

  • Open Access

    ARTICLE

    Research on the Optimal Scheduling Model of Energy Storage Plant Based on Edge Computing and Improved Whale Optimization Algorithm

    Zhaoyu Zeng1, Fuyin Ni1,2,*

    Energy Engineering, Vol.122, No.3, pp. 1153-1174, 2025, DOI:10.32604/ee.2025.059568 - 07 March 2025

    Abstract Energy storage power plants are critical in balancing power supply and demand. However, the scheduling of these plants faces significant challenges, including high network transmission costs and inefficient inter-device energy utilization. To tackle these challenges, this study proposes an optimal scheduling model for energy storage power plants based on edge computing and the improved whale optimization algorithm (IWOA). The proposed model designs an edge computing framework, transferring a large share of data processing and storage tasks to the network edge. This architecture effectively reduces transmission costs by minimizing data travel time. In addition, the model… More >

  • Open Access

    ARTICLE

    Enhancing Safety in Electric Vehicles: Multi-Tiered Fault Detection for Micro Short Circuits and Aging in Battery Modules

    Yi-Feng Luo1,*, Jyuan-Fong Yen2, Wen-Cheng Su3

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 3069-3087, 2025, DOI:10.32604/cmes.2025.061180 - 03 March 2025

    Abstract This article proposes a multi-tiered fault detection system for series-connected lithium-ion battery modules. Improper use of batteries can lead to electrolyte decomposition, resulting in the formation of lithium dendrites. These dendrites may pierce the separator, leading to the failure of the insulation layer between electrodes and causing micro short circuits. When a micro short circuit occurs, the electrolyte typically undergoes exothermic reactions, leading to thermal runaway and posing a safety risk to users. Relying solely on temperature-based judgment mechanisms within the battery management system often results in delayed intervention. To address this issue, the article More >

  • Open Access

    ARTICLE

    Value Assessment Method for the Grid-Alternative Energy Storage Based on Coordinated Planning Framework

    Bingqing Wu1, Yunli Yue1, Yi Zhou1, Hengyu Zhou2, Haowen Guan1, Zhenjiang Shi1, Zili Chen2,*, Zhaoyuan Wu2

    Energy Engineering, Vol.122, No.2, pp. 621-649, 2025, DOI:10.32604/ee.2025.056335 - 31 January 2025

    Abstract As the development of new power systems accelerates and the impacts of high renewable energy integration and extreme weather intensify, grid-alternative energy storage is garnering increasing attention for its grid-interaction benefits and clear business models. Consequently, assessing the value of grid-alternative energy storage in the system transition has become critically important. Considering the performance characteristics of storage, we propose a value assessment frame-work for grid-alternative energy storage, quantifying its non-wires-alternative effects from both cost and benefit perspectives. Building on this, we developed a collaborative planning model for energy storage and transmission grids, aimed at maximizing… 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, Vol.122, No.1, pp. 307-329, 2025, DOI:10.32604/ee.2024.057426 - 27 December 2024

    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

    Optimal Scheduling of an Independent Electro-Hydrogen System with Hybrid Energy Storage Using a Multi-Objective Standardization Fusion Method

    Suliang Ma1, Zeqing Meng1, Mingxuan Chen2,*, Yuan Jiang3

    Energy Engineering, Vol.122, No.1, pp. 63-84, 2025, DOI:10.32604/ee.2024.057216 - 27 December 2024

    Abstract In the independent electro-hydrogen system (IEHS) with hybrid energy storage (HESS), achieving optimal scheduling is crucial. Still, it presents a challenge due to the significant deviations in values of multiple optimization objective functions caused by their physical dimensions. These deviations seriously affect the scheduling process. A novel standardization fusion method has been established to address this issue by analyzing the variation process of each objective function’s values. The optimal scheduling results of IEHS with HESS indicate that the economy and overall energy loss can be improved 2–3 times under different optimization methods. The proposed method More > Graphic Abstract

    Optimal Scheduling of an Independent Electro-Hydrogen System with Hybrid Energy Storage Using a Multi-Objective Standardization Fusion Method

  • Open Access

    REVIEW

    Hydrogen Energy Storage System: Review on Recent Progress

    Millenium Wong1, Hadi Nabipour Afrouzi2,*

    Energy Engineering, Vol.122, No.1, pp. 1-39, 2025, DOI:10.32604/ee.2024.056707 - 27 December 2024

    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 >

  • Open Access

    ARTICLE

    Coordinated Control Strategy of New Energy Power Generation System with Hybrid Energy Storage Unit

    Yun Zhang1,*, Zifen Han2, Biao Tian1, Ning Chen2, Yi Fan3

    Energy Engineering, Vol.122, No.1, pp. 167-184, 2025, DOI:10.32604/ee.2024.056190 - 27 December 2024

    Abstract The new energy power generation is becoming increasingly important in the power system. Such as photovoltaic power generation has become a research hotspot, however, due to the characteristics of light radiation changes, photovoltaic power generation is unstable and random, resulting in a low utilization rate and directly affecting the stability of the power grid. To solve this problem, this paper proposes a coordinated control strategy for a new energy power generation system with a hybrid energy storage unit based on the lithium iron phosphate-supercapacitor hybrid energy storage unit. Firstly, the variational mode decomposition algorithm is… More >

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