Zhengrong Shi^1,3, Hai Hong¹, Yanming Shen^2,*, Jingyong Cai^1,*

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 >

Jian Gao¹, Hongliang Hao², Caifeng Wen^1,*, 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 >

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

Yunzhao Wu¹, Guanglin Sha¹, Qing Duan¹, Xinwei Cong¹, Lu Liu¹, Ning Zhou², Yingjie Zhou^3,*

Energy Engineering, Vol.122, No.3, pp. 1093-1112, 2025, DOI:10.32604/ee.2025.060349 - 07 March 2025

Abstract To enhance energy interaction among low-voltage stations (LVSs) and reduce the line loss of the distribution network, a novel operation mode of the micro-pumped storage system (mPSS) has been proposed based on the common reservoir. First, some operation modes of mPSS are analyzed, which include the separated reservoir mode (SRM) and common reservoir mode (CRM). Then, based on the SRM, and CRM, an energy mutual assistance control model between LVSs has been built to optimize energy loss. Finally, in the simulation, compared to the model without pumped storage in the LVS, the SRM and CLRM… More > Graphic Abstract

Zhaoyu Zeng¹, Fuyin Ni^1,2,*

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 >

Yi-Feng Luo^1,*, 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 >

Reshma Siyal¹, Muhammad Asim^2,*, Long Jun¹, Mohammed Elaffendi², Sundas Iftikhar³, Rana Alnashwan⁴, Samia Allaoua Chelloug^4,*

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2637-2664, 2025, DOI:10.32604/cmc.2025.058717 - 17 February 2025

Abstract A basic procedure for transforming readable data into encoded forms is encryption, which ensures security when the right decryption keys are used. Hadoop is susceptible to possible cyber-attacks because it lacks built-in security measures, even though it can effectively handle and store enormous datasets using the Hadoop Distributed File System (HDFS). The increasing number of data breaches emphasizes how urgently creative encryption techniques are needed in cloud-based big data settings. This paper presents Adaptive Attribute-Based Honey Encryption (AABHE), a state-of-the-art technique that combines honey encryption with Ciphertext-Policy Attribute-Based Encryption (CP-ABE) to provide improved data security. More >

Yuanxiang Luo^*, Linshu Cai, Nan Zhang

Energy Engineering, Vol.122, No.2, pp. 765-783, 2025, DOI:10.32604/ee.2024.058426 - 31 January 2025

Abstract Large-scale new energy grid connection leads to the weakening of the system frequency regulation capability, and the system frequency stability is facing unprecedented challenges. In order to solve rapid frequency fluctuation caused by new energy units, this paper proposes a new energy power system frequency regulation strategy with multiple units including the doubly-fed pumped storage unit (DFPSU). Firstly, based on the model predictive control (MPC) theory, the state space equations are established by considering the operating characteristics of the units and the dynamic behavior of the system; secondly, the proportional-differential control link is introduced to… More > Graphic Abstract

Bingqing Wu¹, Yunli Yue¹, Yi Zhou¹, Hengyu Zhou², Haowen Guan¹, Zhenjiang Shi¹, Zili Chen^2,*, 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 >

Muhammad Nazim^1,2,*, Abdul Ghafoor^3,*, Abida Hussain⁴, Mehwish Tabassum⁵, Aamir Nawaz⁶, Muhammad Ahmad⁷, Murad Muhammad^1,2, Muqarrab Ali⁴

Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 65-99, 2025, DOI:10.32604/phyton.2025.058970 - 24 January 2025

Abstract In recent years, the world has faced rising global temperatures, accumulative pollution, and energy crises, stimulating scientists worldwide to strive for eco-friendly and cost-effective solutions. Biochar has materialized as a favorable tool for environmental remediation, indicating efficacy as an efficient sorbent substance for both inorganic and organic pollutants in environmental field. These unique properties exclude improved surface functionality, porous morphology, large specific surface area (SSA), cation exchange capacity (CEC), robust adsorption capabilities, environmental stability, and embedded micronutrients. Biochar exhibited potential characteristics for environmental oversight, greenhouse gas (GHG) emission reduction, and soil fertility improvement. This review… More >