Zujun Ding, Qi Xiang, Chengyi Li, Mengyu Ma, Chutong Zhang, Xinfa Gu, Jiaming Shi, Hui Huang, Aoyun Xia, Wenjie Wang, Wan Chen, Ziluo Yu, Jie Ji^*

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.070442 - 27 December 2025

Abstract In order to address environmental pollution and resource depletion caused by traditional power generation, this paper proposes an adaptive iterative dynamic-balance optimization algorithm that integrates the Improved Dung Beetle Optimizer (IDBO) with Variational Mode Decomposition (VMD). The IDBO-VMD method is designed to enhance the accuracy and efficiency of wind-speed time-series decomposition and to effectively smooth photovoltaic power fluctuations. This study innovatively improves the traditional variational mode decomposition (VMD) algorithm, and significantly improves the accuracy and adaptive ability of signal decomposition by IDBO self-optimization of key parameters K and a. On this basis, Fourier transform technology… More >

Yulong Zhao¹, Yang Luo^1,*, Yuming Luo², Yulai Pang², Ruihan Zhang¹, Zihan Zhao³

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 3073-3090, 2025, DOI:10.32604/fdmp.2025.070685 - 31 December 2025

Abstract The development of underground gas storage (UGS) systems is vital for maintaining stability between energy supply and demand. This study explores the dynamic response mechanisms of carbonate reservoirs subjected to intense injection–production cycling during UGS operations. By integrating three-dimensional digital core technology with a coupled poro-mechanical model, we simulate the pore-scale behavior of a representative Huangcaoxia UGS carbonate core. The results demonstrate that fluid–solid coupling effects markedly amplify permeability reduction, far exceeding the influence of porosity variations alone. More significantly, gas production leads to a pronounced decline in permeability driven by rising effective stress, arising More >

Fan Chen^*, Tianhui Zhang, Man Wang, Zhiheng Zhuang, Qiang Zhang, Zihan Ma

Energy Engineering, Vol.122, No.10, pp. 4099-4120, 2025, DOI:10.32604/ee.2025.069346 - 30 September 2025

Abstract The configuration of a hybrid energy storage system (HESS) plays a pivotal role in mitigating wind power fluctuations and enabling primary frequency regulation, thereby enhancing the active power support capability of wind power integration systems. However, most existing studies on HESS capacity configuration overlook the self-recovery control of the state of charge (SOC), creating challenges in sustaining capacity during long-term operation. This omission can impair frequency regulation performance, increase capacity requirements, and shorten battery lifespan. To address these challenges, this study proposes a bi-level planning–operation capacity configuration model that explicitly incorporates SOC self-recovery control. In… More >

Yuqian Qi^*, Yanbo Che, Liangliang Liu, Jiayu Ni, Shangyuan Zhang

Energy Engineering, Vol.122, No.10, pp. 3999-4017, 2025, DOI:10.32604/ee.2025.068054 - 30 September 2025

Abstract The process of including renewable energy sources in power networks is moving quickly, so the need for innovative configuration solutions for grid-side ESS has grown. Among the new methods presented in this paper is GA-OCESE, which stands for Genetic Algorithm-based Optimization Configuration for Energy Storage in Electric Networks. This is one of the methods suggested in this study, which aims to enhance the sizing, positioning, and operational characteristics of structured ESS under dynamic grid conditions. Particularly, the aim is to maximize efficiency. A multiobjective genetic algorithm, the GA-OCESE framework, considers all these factors simultaneously. Besides… More >

Chuan Yuan¹, Chang Liu^2,3, Shijun Chen¹, Weiting Xu^2,3, Jing Gou¹, Ke Xu^2,3, Zhengbo Li^4,*, Youbo Liu⁴

Energy Engineering, Vol.122, No.9, pp. 3573-3593, 2025, DOI:10.32604/ee.2025.067785 - 26 August 2025

Abstract The increasing penetration of second-life battery energy storage systems (SLBESS) in power grids presents substantial challenges to system operation and control due to the heterogeneous characteristics and uncertain degradation patterns of repurposed batteries. This paper presents a novel model-free adaptive voltage control-embedded dung beetle-inspired heuristic optimization algorithm for optimal SLBESS capacity configuration and power dispatch. To simultaneously address the computational complexity and ensure system stability, this paper develops a comprehensive bilevel optimization framework. At the upper level, a dung beetle optimization algorithm determines the optimal SLBESS capacity configuration by minimizing total lifecycle costs while incorporating… More >

Ziqiang Man¹, Lei Zhao², Zheng Tao¹, Shiming Cheng², Wei Yan¹, Gaoyue Zhong¹, Yu Lu¹, Wenming Zhang³, Li Zhang^3,*

Energy Engineering, Vol.122, No.9, pp. 3555-3572, 2025, DOI:10.32604/ee.2025.067027 - 26 August 2025

Abstract With the rapid integration of renewable energy sources, modern power systems are increasingly challenged by heightened volatility and uncertainty. Doubly-fed variable-speed pumped storage units (DFVS-PSUs) have emerged as promising technologies for mitigating grid oscillations and enhancing system flexibility. However, the excitation converters in DFVS-PSUs are prone to significant issues such as elevated common-mode voltage (CMV) and neutral-point voltage (NPV) fluctuations, which can lead to electromagnetic interference and degrade transient performance. To address these challenges, an optimized virtual space vector pulse width modulation (OVSVPWM) strategy is proposed, aiming to suppress CMV and NPV simultaneously through coordinated… More >

Ricky Alfian Dita¹, Sudirman Palaloi^2,*, Rezi Delfianti¹, Catur Harsito³, Muhammad Nevandra Fithra Pangestu¹, Deo Ferdi Ramadhan¹, Tovva Firdansyah Amijaya¹, Farhan Mudzaffar¹, Dimas Raka Buana Putra¹

Energy Engineering, Vol.122, No.6, pp. 2355-2370, 2025, DOI:10.32604/ee.2025.064134 - 29 May 2025

Abstract Efficient battery charging requires a power conversion system capable of providing precise voltage regulation tailored to the battery’s needs. This study develops a buck converter with a 36 V input for charging a 14 V battery using the Constant Voltage (CV) method. The system is designed to ensure safe and efficient charging while protecting the battery from overcharging and extending its lifespan. In the proposed design, the converter maintains a constant output voltage while the charging current decreases as the battery approaches full capacity. Pulse Width Modulation (PWM) is used as a control strategy to… More >

Zeyang Zhou^1,*, Zachary James Ryan¹, Utkarsh Sharma², Tran Tien Anh³, Shashi Mehrotra⁴, Angelo Greco⁵, Jason West⁶, Mukesh Prasad^1,*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4795-4813, 2025, DOI:10.32604/cmc.2025.060291 - 19 May 2025

Abstract Accurate capacity and State of Charge (SOC) estimation are crucial for ensuring the safety and longevity of lithium-ion batteries in electric vehicles. This study examines ten machine learning architectures, Including Deep Belief Network (DBN), Bidirectional Recurrent Neural Network (BiDirRNN), Gated Recurrent Unit (GRU), and others using the NASA B0005 dataset of 591,458 instances. Results indicate that DBN excels in capacity estimation, achieving orders-of-magnitude lower error values and explaining over 99.97% of the predicted variable’s variance. When computational efficiency is paramount, the Deep Neural Network (DNN) offers a strong alternative, delivering near-competitive accuracy with significantly reduced… More >

Steffen Schedler^1,*, Michael Bareev-Rudy¹, Stefanie Meilinger², Tanja Clees^1,3

Energy Engineering, Vol.122, No.5, pp. 1755-1770, 2025, DOI:10.32604/ee.2025.061962 - 25 April 2025

Abstract Germany aims to achieve a national climate-neutral energy system by 2045. The residential sector still accounts for 29% of end energy consumption, with 74% attributed to the direct use of fossil fuels for heating and hot water. In order to reduce fossil energy use in the household sector, great efforts are being made to design new energy concepts that expand the use of renewable energies to supply electricity and heat. One possibility is to convert parts of the natural gas grid to a hydrogen-based gas grid to deliver and store energy for urban quarters of… More >

Daixuan Zhou¹, Zhichao Wang¹, Kaile Xi², Chong Zuo³, Yan Jia^2,*

Energy Engineering, Vol.122, No.5, pp. 2119-2153, 2025, DOI:10.32604/ee.2025.061712 - 25 April 2025

Abstract HOMER (Hybrid Optimization Model for Electric Renewables) is an effective simulation and optimization platform for hybrid renewable energy. By inputting specific users’ energy resource data (such as wind speed, solar radiation, etc.) and load data, and by determining the types and models of components selected by the user, HOMER calculates and simulates the operational status of each component at every time step. Ultimately, it computes the energy balance of the system within specified constraints to simulate the overall system operation. This approach enables the reasonable determination of system component capacities, the evaluation of system feasibility,… More > Graphic Abstract