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  • Open Access

    ARTICLE

    Mathematical Modeling and Thermal Analysis of Salt Gradient Solar Pond

    Mahesh Kumar1, Rahool Rai2,*, Sudhakar Kumarasamy2,3,4,*

    Frontiers in Heat and Mass Transfer, Vol.23, No.5, pp. 1477-1493, 2025, DOI:10.32604/fhmt.2025.067933 - 31 October 2025

    Abstract The increasing demand due to development and advancement in every field of life has caused the depletion of fossil fuels. This depleting fossil fuel reserve throughout the world has enforced to get energy from alternative/renewable sources. One of the economical ways to get energy is through the utilization of solar ponds. In this study, a mathematical model of a salt gradient solar pond under the Islamabad climatic conditions has been analyzed for the first time. The model uses a one-dimensional finite difference explicit method for optimization of different zone thicknesses. The model depicts that NCZ More >

  • Open Access

    REVIEW

    Artificial Neural Networks and Taguchi Methods for Energy Systems Optimization: A Comprehensive Review

    Mir Majid Etghani1, Homayoun Boodaghi2,*

    Energy Engineering, Vol.122, No.11, pp. 4385-4474, 2025, DOI:10.32604/ee.2025.070668 - 27 October 2025

    Abstract Energy system optimization has become crucial for enhancing efficiency and environmental sustainability. This comprehensive review examines the synergistic application of Artificial Neural Networks (ANN) and Taguchi methods in optimizing diverse energy systems. While previous reviews have focused on these methods separately, this paper presents the first integrated analysis of both approaches across multiple energy applications. We systematically analyze their implementation in: Internal combustion engines, Thermal energy storage systems, Solar energy systems, Wind and tidal turbines, Heat exchangers, and hybrid energy systems. Our findings reveal that ANN models consistently achieve prediction accuracies exceeding 90% when compared More > Graphic Abstract

    Artificial Neural Networks and Taguchi Methods for Energy Systems Optimization: A Comprehensive Review

  • Open Access

    ARTICLE

    Energy-Based Approach for Short-Term Voltage Stability Analysis and Assessment

    Wenbiao Li1,2, Zhichong Cao1,*, Zhengyu Li3, Wenbiao Tao3, Cheng Liu1, Yuxin Shi3, Rundong Tian1

    Energy Engineering, Vol.122, No.11, pp. 4733-4754, 2025, DOI:10.32604/ee.2025.068683 - 27 October 2025

    Abstract With the increasing penetration of renewable energy in power systems, grid structures and operational paradigms are undergoing profound transformations. When subjected to disturbances, the interaction between power electronic devices and dynamic loads introduces strongly nonlinear dynamic characteristics in grid voltage responses, posing significant threats to system security and stability. To achieve reliable short-term voltage stability assessment under large-scale renewable integration, this paper innovatively proposes a response-driven online assessment method based on energy function theory. First, energy modeling of system components is performed based on energy function theory, followed by analysis of energy interaction mechanisms during… More >

  • Open Access

    ARTICLE

    Energy Optimization Strategy for Reconfigurable Distribution Network with High Renewable Penetration Based on Bald Eagle Search Algorithm

    Jian Wang, Hui Qi, Lingyi Ji*, Zhengya Tang, Hui Qian

    Energy Engineering, Vol.122, No.11, pp. 4635-4651, 2025, DOI:10.32604/ee.2025.068667 - 27 October 2025

    Abstract This paper proposes a cost-optimal energy management strategy for reconfigurable distribution networks with high penetration of renewable generation. The proposed strategy accounts for renewable generation costs, maintenance and operating expenses of energy storage systems, diesel generator operational costs, typical daily load profiles, and power balance constraints. A penalty term for power backflow is incorporated into the objective function to discourage undesirable reverse flows. The Bald Eagle Search (BES) meta-heuristic is adopted to solve the resulting constrained optimization problem. Numerical simulations under multiple load scenarios demonstrate that the proposed method effectively reduces operating cost while preventing More >

  • Open Access

    ARTICLE

    Configuration and Operation Optimization of Active Distribution Network Based on Wind-Solar-Hydrogen-Storage Integration

    Hongsheng Su1, Wenyao Su1, Yulong Che1,*, Xiping Ma2, Tian Zhao1, Limiao Ren1

    Energy Engineering, Vol.122, No.11, pp. 4777-4797, 2025, DOI:10.32604/ee.2025.068134 - 27 October 2025

    Abstract Aiming at the issues of insufficient carrying capacity, limited flexibility, and weak source-network-load-storage coordination capability in distribution networks under the background of high-proportion new energy integration. This study proposes a bi-level optimization model for ADN integrating hybrid wind-solar-hydrogen-storage systems. First, an electro-hydrogen coupling system framework is constructed, including models for electrolytic hydrogen production, hydrogen storage, and fuel cells. Meanwhile, typical scenarios of wind-solar joint output are developed using Copula functions to characterize the variability of renewable energy generation. Second, a bi-level optimization model for ADN with electrolytic hydrogen production and storage systems is established: the… More >

  • Open Access

    ARTICLE

    Cotton Residue Biomass-Based Electrochemical Sensors: The Relation of Composition and Performance

    Anna Elisa Silva, Eduardo Thiago Formigari, João Pedro Mayer Camacho Araújo, Dagoberto de Oliveira Silva, Jürgen Andreaus, Eduardo Guilherme Cividini Neiva*

    Journal of Renewable Materials, Vol.13, No.10, pp. 1899-1912, 2025, DOI:10.32604/jrm.2025.02025-0130 - 22 October 2025

    Abstract Here, we report a comprehensive study on the characterization of cotton biomass residue, its conversion into carbon-based materials via pyrolysis, and its application as an electrochemical sensor for ascorbic acid (AA). The compositions, morphologies, and structures of the resulting materials were investigated using XRD, FTIR, TGA, SEM, and EDS. Pyrolysis was carried out in an air atmosphere at different temperatures (300°C and 400°C) and durations (1, 60, and 240 min), leading to the transformation of lignocellulosic cotton residue into carbon-based materials embedded with inorganic nanoparticles, including carbonates, sulfates, chlorates, and phosphates of potassium, calcium, and… More > Graphic Abstract

    Cotton Residue Biomass-Based Electrochemical Sensors: The Relation of Composition and Performance

  • Open Access

    REVIEW

    Bamboo Parenchymal Cells: An Untapped Bio-Based Resource for Sustainable Material

    Yao Xia1, Yuxiang Huang1,*, Shifeng Zhang2, Yanglun Yu1

    Journal of Renewable Materials, Vol.13, No.10, pp. 1881-1898, 2025, DOI:10.32604/jrm.2025.02025-0068 - 22 October 2025

    Abstract Bamboo parenchymal cells (PCs) represent an underutilized resource with significant potential as a sustainable and versatile bio-based material. Despite the extensive research on bamboo fibers, PCs, comprising a considerable portion of bamboo, have been largely overlooked. This review examines the multi-scale structure of bamboo PCs, including their microcapsules, multi-wall layers, and pits, which provide the structural foundation for diverse applications. Various physical and chemical isolation methods, impacting the properties of extracted PCs, are also discussed. Notably, the review explores the promising applications of bamboo PCs, highlighting their use as filler materials in formaldehyde-free composites, as More > Graphic Abstract

    Bamboo Parenchymal Cells: An Untapped Bio-Based Resource for Sustainable Material

  • Open Access

    REVIEW

    A Review: Functionalized Renewable Natural Fibers as Substrates for Photo-Driven Desalination, Photocatalysis, and Photothermal Biomedical Applications in Sustainable Photothermal Materials

    Yihang Tang1, Jing Li1, Wentao Xu1, Yao Xiao1, Jiayi Deng1, Ge Rong1, Jin Zhao2, Song Xu1, Man Zhou1,*, Zhongyu Li3,*

    Journal of Renewable Materials, Vol.13, No.10, pp. 1993-2041, 2025, DOI:10.32604/jrm.2025.02025-0065 - 22 October 2025

    Abstract Natural fibers, as a typical renewable and biodegradable material, have shown great potential for many applications (e.g., catalysis, hydrogel, biomedicine) in recent years. Recently, the growing importance of natural fibers in these photo-driven applications is reflected by the increasing number of publications. The utilization of renewable materials in photo-driven applications not only contributes to mitigating the energy crisis but also facilitates the transition of society toward a low-carbon economy, thus enabling harmonious coexistence between humans and the environment within the context of sustainable development. This paper provides an overview of the recent advances of natural… More > Graphic Abstract

    A Review: Functionalized Renewable Natural Fibers as Substrates for Photo-Driven Desalination, Photocatalysis, and Photothermal Biomedical Applications in Sustainable Photothermal Materials

  • Open Access

    REVIEW

    Biomass-Derived Carbon-Based Nanomaterials: Current Research, Trends, and Challenges

    Robyn Lesch1, Evan David Visser1, Ntalane Sello Seroka1,2,*, Lindiwe Khotseng1,*

    Journal of Renewable Materials, Vol.13, No.10, pp. 1935-1977, 2025, DOI:10.32604/jrm.2025.02025-0026 - 22 October 2025

    Abstract The review investigates the use of biomass-derived carbon as precursors for nanomaterials, acknowledging their sustainability and eco-friendliness. It examines various types of biomasses, such as agricultural residues and food byproducts, focussing on their transformation via environmentally friendly methods such as pyrolysis and hydrothermal carbonisation. Innovations in creating porous carbon nanostructures and heteroatom surface functionalisation are identified, enhancing catalytic performance. The study also explores the integration of biomass-derived carbon with nanomaterials for energy storage, catalysis, and other applications, noting the economic and environmental benefits. Despite these advantages, challenges persist in optimising synthesis methods and scaling production. More > Graphic Abstract

    Biomass-Derived Carbon-Based Nanomaterials: Current Research, Trends, and Challenges

  • Open Access

    ARTICLE

    Optimization Configuration Method for Grid-Side Grid-Forming Energy Storage System Based on Genetic Algorithm

    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 >

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