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  • Open Access

    ARTICLE

    Joint Estimation of SOH and RUL for Lithium-Ion Batteries Based on Improved Twin Support Vector Machineh

    Liyao Yang1, Hongyan Ma1,2,3,*, Yingda Zhang1, Wei He1

    Energy Engineering, Vol.122, No.1, pp. 243-264, 2025, DOI:10.32604/ee.2024.057500 - 27 December 2024

    Abstract Accurately estimating the State of Health (SOH) and Remaining Useful Life (RUL) of lithium-ion batteries (LIBs) is crucial for the continuous and stable operation of battery management systems. However, due to the complex internal chemical systems of LIBs and the nonlinear degradation of their performance, direct measurement of SOH and RUL is challenging. To address these issues, the Twin Support Vector Machine (TWSVM) method is proposed to predict SOH and RUL. Initially, the constant current charging time of the lithium battery is extracted as a health indicator (HI), decomposed using Variational Modal Decomposition (VMD), and… 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

    Grid-Connected/Islanded Switching Control Strategy for Photovoltaic Storage Hybrid Inverters Based on Modified Chimpanzee Optimization Algorithm

    Chao Zhou1, Narisu Wang1, Fuyin Ni1,2,*, Wenchao Zhang1

    Energy Engineering, Vol.122, No.1, pp. 265-284, 2025, DOI:10.32604/ee.2024.057380 - 27 December 2024

    Abstract Uneven power distribution, transient voltage, and frequency deviations are observed in the photovoltaic storage hybrid inverter during the switching between grid-connected and island modes. In response to these issues, this paper proposes a grid-connected/island switching control strategy for photovoltaic storage hybrid inverters based on the modified chimpanzee optimization algorithm. The proposed strategy incorporates coupling compensation and power differentiation elements based on the traditional droop control. Then, it combines the angular frequency and voltage amplitude adjustments provided by the phase-locked loop-free pre-synchronization control strategy. Precise pre-synchronization is achieved by regulating the virtual current to zero and… More >

  • Open Access

    ARTICLE

    Energy Efficiency of a Solar Green Building Using Bio-Sourced Materials for Indoor Temperature and Humidity Optimization

    Soumia Mounir1,2,3,*, Youssef Maaloufa1,2,3, Abdelhamid Khabbazi2, Elina Mohd Husini4, Nurul Syala Abdul Latip4, Yakubu Aminu Dodo5,6, Rime EL Harrouni2,7, Mina Amazal3, Asma Souidi3, Malika Atigui3, Ahmed Aharoune3

    Energy Engineering, Vol.122, No.1, pp. 41-62, 2025, DOI:10.32604/ee.2024.057125 - 27 December 2024

    Abstract A clean environment with low carbon emissions is the goal of research on the development of green and sustainable buildings that use bio-sourced materials in conjunction with solar energy to create more sustainable cities. This is particularly true in Africa, where there aren’t many studies on the topic. The current study suggests a 90 m2 model of a sustainable building in a dry climate that is movable to address the issue of housing in remote areas, ensures comfort in harsh weather conditions, uses solar renewable resources—which are plentiful in Africa—uses bio-sourced materials, and examines how these… More > Graphic Abstract

    Energy Efficiency of a Solar Green Building Using Bio-Sourced Materials for Indoor Temperature and Humidity Optimization

  • 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 >

  • 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, Vol.122, No.1, pp. 331-347, 2025, DOI:10.32604/ee.2024.055611 - 27 December 2024

    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 > Graphic Abstract

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

  • Open Access

    ARTICLE

    Enhancing Solar Photovoltaic Efficiency: A Computational Fluid Dynamics Analysis

    Rahool Rai1,2,3,*, Fareed Hussain Mangi4, Kashif Ahmed2, Sudhakar Kumaramsay1,5,6,*

    Energy Engineering, Vol.122, No.1, pp. 153-166, 2025, DOI:10.32604/ee.2024.051789 - 27 December 2024

    Abstract The growing need for sustainable energy solutions, driven by rising energy shortages, environmental concerns, and the depletion of conventional energy sources, has led to a significant focus on renewable energy. Solar energy, among the various renewable sources, is particularly appealing due to its abundant availability. However, the efficiency of commercial solar photovoltaic (PV) modules is hindered by several factors, notably their conversion efficiency, which averages around 19%. This efficiency can further decline to 10%–16% due to temperature increases during peak sunlight hours. This study investigates the cooling of PV modules by applying water to their… More >

  • Open Access

    ARTICLE

    Deep learning identification of novel autophagic protein-protein interactions and experimental validation of Beclin 2-Ubiquilin 1 axis in triple-negative breast cancer

    XIANG LI1,#, WENKE JIN2,#, LIFENG WU2, HUAN WANG1, XIN XIE1, WEI HUANG1,*, BO LIU2,*

    Oncology Research, Vol.33, No.1, pp. 67-81, 2025, DOI:10.32604/or.2024.055921 - 20 December 2024

    Abstract Background: Triple-negative breast cancer (TNBC), characterized by its lack of traditional hormone receptors and HER2, presents a significant challenge in oncology due to its poor response to conventional therapies. Autophagy is an important process for maintaining cellular homeostasis, and there are currently autophagy biomarkers that play an effective role in the clinical treatment of tumors. In contrast to targeting protein activity, intervention with protein-protein interaction (PPI) can avoid unrelated crosstalk and regulate the autophagy process with minimal interference pathways. Methods: Here, we employed Naive Bayes, Decision Tree, and k-Nearest Neighbors to elucidate the complex PPI… More >

  • Open Access

    ARTICLE

    SBL-JP-0004: A promising dual inhibitor of JAK2 and PI3KCD against gastric cancer

    HASSAN M. OTIFI*

    Oncology Research, Vol.33, No.1, pp. 235-243, 2025, DOI:10.32604/or.2024.055677 - 20 December 2024

    Abstract Background: Gastric cancer (GC) remains a global health burden and is often characterized by heterogeneous molecular profiles and resistance to conventional therapies. The phosphoinositide 3-kinase and PI3K and Janus kinase (JAK) signal transducer and activator of transcription (JAK-STAT) pathways play pivotal roles in GC progression, making them attractive targets for therapeutic interventions. Methods: This study applied a computational and molecular dynamics simulation approach to identify and characterize SBL-JP-0004 as a potential dual inhibitor of JAK2 and PI3KCD kinases. KATOIII and SNU-5 GC cells were used for in vitro evaluation. Results: SBL-JP-0004 exhibited a robust binding affinity for… More >

  • Open Access

    REVIEW

    Engendered nanoparticles for treatment of brain tumors

    SOROUSH SOLEYMANI1, MOHAMMAD DOROUDIAN2,*, MAHDIEH SOEZI3,4, ALI BELADI5, KIARASH ASGARI2, ASO MOBARAKSHAHI2, ARYANA AGHAEIPOUR2, RONAN MACLOUGHLIN6,7,8,*

    Oncology Research, Vol.33, No.1, pp. 15-26, 2025, DOI:10.32604/or.2024.053069 - 20 December 2024

    Abstract Brain metastasis and primary glioblastoma multiforme represent the most common and lethal malignant brain tumors. Its median survival time is typically less than a year after diagnosis. One of the major challenges in treating these cancers is the efficiency of the transport of drugs to the central nervous system. The blood-brain barrier is cooperating with advanced stages of malignancy. The blood-brain barrier poses a significant challenge to delivering systemic medications to brain tumors. Nanodrug delivery systems have emerged as promising tools for effectively crossing this barrier. Additionally, the development of smart nanoparticles brings new hope More >

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