Wei Lin, Yi Sun^*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5117-5134, 2025, DOI:10.32604/cmc.2025.067968 - 23 October 2025

Abstract To enable efficient sharing of unbounded streaming data, this paper introduces blockchain technology into traditional cloud data, proposing a hybrid on-chain/off-chain storage model. We design a real-time verifiable data structure that is more suitable for streaming data to achieve efficient real-time verifiability for streaming data. Based on the notch gate hash function and vector commitment, an adaptive notch gate hash tree structure is constructed, and an efficient real-time verifiable data structure for on-chain and off-chain stream data is proposed. The structure binds dynamic root nodes sequentially to ordered leaf nodes in its child nodes. Only… More >

Yanfeng Li¹, Dongxu Han^1,*, Jinhui Lin², Qingwei Zhai³, Xiaohua Wu¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-1, 2025, DOI:10.32604/icces.2025.011547

Abstract Liquid hydrogen (LH2), with its high volumetric energy density and high purity, has become a promising choice for hydrogen storage. As the demand for hydrogen as a clean energy source continues to grow, the importance of liquid hydrogen in energy storage is becoming increasingly significant. However, the safe operation and storage of liquid hydrogen face several challenges, particularly the self-pressurization process within storage tanks. During storage, heat ingress into the tank causes the evaporation of liquid hydrogen, leading to a continuous rise in vapor pressure, resulting in self-pressurization. Accurately predicting this process is crucial for… 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 >

Jinyu Guo^*, Xingxu Zhu, Zezhong Liu, Cuiping Li

Energy Engineering, Vol.122, No.10, pp. 3961-3983, 2025, DOI:10.32604/ee.2025.067811 - 30 September 2025

Abstract In high-renewable-energy power systems, the demand for fast-responding capabilities is growing. To address the limitations of conventional closed-loop frequency control, where the integral coefficient cannot dynamically adjust the frequency regulation command based on the state of charge (SoC) of energy storage units, this paper proposes a secondary frequency regulation control strategy based on variable integral coefficients for multiple energy storage units. First, a power-uniform controller is designed to ensure that thermal power units gradually take on more regulation power during the frequency regulation process. Next, a control framework based on variable integral coefficients is proposed… More >

Muhammad Salman Qamar^1,2,*, Muhammad Fahad Munir², Athar Waseem²

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3557-3584, 2025, DOI:10.32604/cmes.2025.067447 - 30 September 2025

Abstract Air pollution, specifically fine particulate matter (PM2.5), represents a critical environmental and public health concern due to its adverse effects on respiratory and cardiovascular systems. Accurate forecasting of PM2.5 concentrations is essential for mitigating health risks; however, the inherent nonlinearity and dynamic variability of air quality data present significant challenges. This study conducts a systematic evaluation of deep learning algorithms including Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and the hybrid CNN-LSTM as well as statistical models, AutoRegressive Integrated Moving Average (ARIMA) and Maximum Likelihood Estimation (MLE) for hourly PM2.5 forecasting. Model performance is… More >

Ziming Hu¹, Jingfa Li^1,*, Chaoyang Fan¹, Jiale Xiao¹, Huijie Huang², Bo Yu¹, Baocheng Shi¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.010823

Abstract Hydrogen production from offshore wind power is an effective means to address the challenges of wind power grid integration and has emerged as a focal point in the development and research of offshore wind energy in recent years. However, the current state of hydrogen storage and transportation technologies for offshore applications lacks comprehensive economic analysis. This study aims to provide a thorough economic evaluation of these technologies by considering both fixed investment costs and operational and maintenance costs. A levelized cost model is employed to analyze four offshore hydrogen storage and transportation schemes: gas hydrogen… More >

Shige Wang¹, Yalong Liang², Lian Huang³, Pei Li^4,*

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 2729-2748, 2025, DOI:10.32604/cmc.2025.068351 - 23 September 2025

Abstract This study introduces a hybrid Cuckoo Search-Deep Neural Network (CS-DNN) model for uncertainty quantification and composition optimization of Na_1/2Bi_1/2TiO₃ (NBT)-based dielectric energy storage ceramics. Addressing the limitations of traditional ferroelectric materials—such as hysteresis loss and low breakdown strength under high electric fields—we fabricate (1 − x)NBBT8-xBMT solid solutions via chemical modification and systematically investigate their temperature stability and composition-dependent energy storage performance through XRD, SEM, and electrical characterization. The key innovation lies in integrating the CS metaheuristic algorithm with a DNN, overcoming local minima in training and establishing a robust composition-property prediction framework. Our model accurately… More >

Alena Vjuginova^1,*, Leonid Leontyev²

Journal of Renewable Materials, Vol.13, No.9, pp. 1819-1828, 2025, DOI:10.32604/jrm.2025.02025-0061 - 22 September 2025

Abstract In this paper, the stability of the results of ultrasonic wood surface modification after long-term storage, including macroscopic properties and microstructure of specimens, was investigated. Specimens of aspen wood (Populus tremula) were processed by the developed ultrasonic method of wood surface modification in three different treatment modes and the surface hardness of the specimens was evaluated after processing and after storing the specimens for more than 5 years since long-term stability is an important factor for the use of ultrasonically modified sawn timber as construction and finishing materials. The obtained results of surface hardness measurements by… More > Graphic Abstract

Tri Susanti^1,2, Syahnur Haqiqoh¹, Pratiwi Pudjiastuti^2,*, Siti Wafiroh^2,*, Esti Hendradi³, Oktavia Eka Puspita⁴, Nashriq Jailani⁵

Journal of Renewable Materials, Vol.13, No.9, pp. 1841-1857, 2025, DOI:10.32604/jrm.2025.02024-0084 - 22 September 2025

Abstract This study aims to enhance the mechanical properties, disintegration, and dissolution rates of cross-linked carrageenan (CRG) capsule shells by shortening the long chains of CRG through a hydrolysis reaction with citric acid (CA). The hydrolysis of CRG was carried out using varying concentrations of CA, resulting in hydrolyzed CRG (HCRG). This was followed by cross-linking with xanthan gum (XG) and the addition of sorbitol (SOR) as a plasticizer. The results indicated that the optimal swelling capacity of HCRG-XG/SOR hard-shell capsules occurred at a CA concentration of 0.5%, achieving a maximum swelling rate of 445.39% after… More >