Sri Suresh Mavuri¹, Surender Reddy Salkuti^2,*

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.083940 - 30 August 2026

Abstract The operational flexibility and reliability of Multi-Microgrid (MMG) networks have been greatly increased by the growing adoption of Distributed Generation (DG) within the operational framework of the contemporary power infrastructure. Optimal location and size of DG units are, however, significant issues since the problem is complex, nonlinear, and multi-objective. A proposed study will develop a sophisticated optimization model using the Spider Wasp Optimization (SWO) algorithm to optimally allocate and size DGs in MMG systems. The goal of the proposed approach is to reduce essential economic goals, such as total operating cost, Levelized Cost of Energy… More > Graphic Abstract

Abdellah Idrissi^1,*, Elbachir Abddaim^2,3, Hicham El Mghari¹, Rachid El Amraoui¹, Siham Sakami⁴, Lahcen Boukhattem^2,3, Brahim Addou¹

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.083896 - 30 August 2026

Abstract This study numerically investigates the influence of inlet–outlet arrangement on the thermo-hydraulic performance of a thermocline thermal energy storage (TES) tank using three-dimensional transient CFD simulations in ANSYS Fluent. Four different inlet–outlet configurations were analyzed under identical discharge conditions to evaluate their effects on thermal stratification, discharge efficiency, and internal flow behavior. The numerical model was developed using the continuity, momentum, and energy equations with the Boussinesq approximation and validated against reference experimental data with deviations below 5%. The results showed that the inlet–outlet arrangement significantly affects thermocline evolution and thermal mixing inside the storage More > Graphic Abstract

Haotian Yang¹, Lin Lu^1,2,*

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.083071 - 30 August 2026

Abstract Building-integrated photovoltaics (BIPV) has attracted growing attention due to its promising applications in modern buildings. By serving as components of the building envelope, BIPV avoid competing with land use and facilitates net-zero energy buildings in the face of the current energy crisis. In addition to power generation, BIPV alters the energy-related properties of buildings. Appropriate daylighting and effective management of heat gains can reduce lighting, cooling, and heating loads, helping to balance energy production and consumption. This review examines the optical, thermal, and electrical behaviors of BIPV systems and their impacts on building energy efficiency. More >

Yongzhi Liu, Qiang Li, Qianpeng Hao^*, Yaowen Liu, Wenze Li, Zijun Zhao, Zhenyu Chen, Yuxiang Liu, Jiaxing Ren, Wei Han

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.074322 - 30 August 2026

Abstract Aiming at the prominent problems of insufficient coordination of multi-type flexible resources and insufficient utilization of demand response potential in high-proportion renewable energy power systems, this paper proposes a two-stage optimal scheduling model for flexible resource aggregation that integrates price-based and segmented incentive-based demand response. In the first stage, the price-based demand response is adopted to optimize the time distribution of elastic loads with the goal of minimizing the net load fluctuation, so as to smooth the net load curve. In the second stage, based on the optimized net load, the segmented incentive-based demand response… More >

Honglian Gao¹, Qingsong Zhang¹, Zeming Chen¹, Lianchen Li¹, Quanhui Liu¹, Yuxiang Tian¹, Xianfeng Xu^2,*

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.074052 - 30 August 2026

Abstract With the increasing penetration rate of distributed generators (DGs) in the distribution network, DGs with independent power supply capability provide strong support for distribution network fault recovery. Traditional fault reconfiguration methods often rely on static load priorities and fail to fully consider the time-varying dynamic characteristics of outage costs, resulting in shortcomings in the economy and adaptability of restoration strategies. To address this, this paper proposes a fault reconfiguration method that integrates day-ahead prediction and a dynamic load restoration set. Firstly, a Long Short-Term Memory network optimized by Variational Mode Decomposition and the Marine Predators… More >

Yi An¹, Litao Hong², Chun Chen^3,*, Zihan Zhang³, Yijia Cao³

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.073739 - 30 August 2026

Abstract With the rapid development and widespread application of distributed energy resources (DERs), service restoration in the distribution network has become more complex and challenging. This paradigm shift, while offering unprecedented opportunities for a cleaner and more resilient energy grid, has fundamentally altered the traditional, centralized approach to managing power outages. This paper addresses the issue that intentional islanding partition and network reconfiguration are not effectively integrated during service restoration, proposing a flexible matching method for maximizing service restoration in the active distribution network. Firstly, a fault branch variable based on the basic ring matrix of… More >

Xiao-Juan Li, Yu Zhang^*, Xing-She Zhou, Meng-Jie Li, Xin-Yue Liu

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.2, 2026, DOI:10.32604/cmes.2026.085689 - 28 August 2026

Abstract Sensor-equipped Unmanned Aerial Vehicles (UAVs) are increasingly deployed for collaborative aerial sensing, yet selecting an optimal subgroup from a heterogeneous fleet remains challenging. Existing approaches rank individual UAVs by fixed, isolated metrics (e.g., sensor type, residual energy) and deploy them sequentially, failing to quantify task-specific performance under coupled operational uncertainties arising from platform heterogeneity, sensor configuration, and environmental dynamics. To address this, we propose Near-Optimal Group UAV Selection (OGU), a capability-driven modeling method. Rather than directly manipulating raw, heterogeneous hardware parameters, OGU aggregates each UAV–sensor unit into a capability entity characterized by intrinsic task-oriented attributes… More >

Hamza Rafik¹, Oussama Khouili², Mohamed Louzazni¹, Petru Adrian Cotfas³, Daniel Tudor Cotfas^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.2, 2026, DOI:10.32604/cmes.2026.084256 - 28 August 2026

Abstract The rapid expansion of photovoltaic (PV) technologies has necessitated the enhancement of energy conversion efficiency by developing more and more sophisticated control and optimization techniques. In particular, novel MPPT methods combined with solar tracking systems and AI approaches emerge as a promising solution to surmount the barriers of the conventional PV systems. This research presents a critical assessment of the recent developments in the research area of PV systems with MPPT algorithms, solar tracking mechanisms, and AI-based techniques. Therefore, papers with publication years from 2021 to 2025 were selected using Web of Science Core Collection. More >

Erman Taer^1,*, Novi Yanti¹, Asmarwati¹, Apriwandi¹, Abrar Ismardi², Indra Wahyudhin Fathona², Memoria Rosi², Bidayatul Armynah³, Dahlang Tahir³, Ninis Hadi Haryanti⁴, Suryajaya⁴, Isnasyauqiah⁵, Ida Usman⁶, Julnaidi⁷, Rika Taslim^8,*

Journal of Renewable Materials, Vol.14, No.8, 2026, DOI:10.32604/jrm.2026.02026-0022 - 26 August 2026

Abstract The promotion of bio-carbon for developing superior electrodes has become a trending topic in realising the practical application of supercapacitor devices. This study aimed to prepare porous carbon (PC) with a taproot fiber-like nanostructure that was decorated with self-doped oxygen. The waste of red suren leaves (RSL) was further treated using a direct heating method with the catalyst effect of ZnCl₂ (0.3, 0.5, and 0.7 M) in an N₂/CO₂ environment at 850°C, being examined. The results showed that RSL@PC-0.5 exhibited the best amorphous carbon structure (FWHM = 0.105° and 0.182°). The specific surface area (SSA =… More > Graphic Abstract

Anna Szymczak-Graczyk¹, Zijadin Guri², Ilir Canaj², Tomasz Garbowski^3,*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.080104 - 24 August 2026

Abstract In this study, an energy-consistent analytical–numerical framework is proposed to determine the effective shear correction factor $k_s$ for non-homogeneous cross-sections within the Timoshenko beam theory, such as a porous cementitious matrix (e.g., perlite-based material) combined with an embedded steel I-section. The formulation enforces equivalence between the real heterogeneous shear strain energy, governed by a spatial shear modulus field $G(y,z)$, and its beam-theory representation based on $k_s(G_{\text{ref}}A)$. A pixel/voxel discretization is introduced to evaluate the generalized shear-energy integral and to quantify the deviation of $k_s$ from classical homogeneous benchmarks. The results demonstrate… More >