C. A. Bindyashree¹, Chitra G.², Syed Muzamil Basha³, Hamed Taherdoost^{4,5,6,7,8,9,*}

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.084451 - 30 August 2026

Abstract In the present times, Transformation finance has become a prominent approach for a systematic financial channel to facilitate the step-by-step decarbonization of carbon-intensive sectors. Such mechanisms rely on the accuracy of carbon emissions data to measure environmental performance and to inform capital decisions. The current carbon accounting methods are limited by inadequate data-collection provisions, slow verification processes, and low auditability, which undermine the reliability of emission-reduction claims and constrain the effectiveness of carbon asset markets. In the present research work, a blockchain-based framework is proposed that will create reliable carbon data accounting and facilitate structured… More >

Viktoriia Mykytenko^1,*, Veronika Khudolei², Oleksandr Hurin³, Halyna Kryshtal⁴, Svetlana Mishchenko⁵, Roman Iskiv⁶

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.084053 - 30 August 2026

Abstract This study develops a conceptual and analytical approach to assessing energy system (ES) resilience under conditions of a low-carbon transition, with particular attention to the role of operational constraints and adaptive capacity. The study demonstrates that, under conditions of polycrisis transformation, ES resilience cannot be adequately evaluated solely through technical and technological indicators, but requires the integration of functional, institutional, and operational parameters. An integrated resilience model is proposed in which operational constraints are interpreted as an endogenous structural factor that determines the boundary conditions of system functioning and shapes ES development trajectories. The methodological… More > Graphic Abstract

Mohammed Almajed¹, Mahbub Hassan², Turjoy Das Turjo³, Md Ashequl Islam^4,*, Md Ehtesamul Haque¹, M. M. Hafizur Rahman⁵

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.084024 - 30 August 2026

Abstract Accurate per-kilometer energy consumption prediction is essential for effective electric bus (EB) fleet management in urban transit networks. Existing studies report mean absolute percentage errors of 5%–8% and rarely cross-validate explainability attributions or quantify prediction uncertainty. This study presents a physics-informed, interpretable machine learning framework for EB energy consumption prediction under Bangkok-like tropical urban conditions. Due to the institutional inaccessibility of operational telemetry, a parametric dataset of 4000 trip-level scenarios was constructed across 29 input features anchored to published primary sources. Four algorithms were benchmarked under Bayesian hyperparameter optimization: Extreme Gradient Boosting (XGBoost), Light Gradient… More >

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

Ruanming Huang¹, Yuchen Qi¹, Yaoliang Zhu¹, Chen Qian¹, Haojie Li^2,*, Bing Wang²

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.083133 - 30 August 2026

Abstract With the continuous expansion of installed capacity of renewable energy represented by wind power, modern power systems are increasingly characterized by high penetration of power electronics. This trend leads to reduced system inertia and compromised disturbance resilience, posing prominent challenges to frequency stability. Mainstream wind turbines operating in maximum power point tracking (MPPT) mode typically lack effective responses to system frequency fluctuations. Although conventional fixed-parameter virtual synchronous generator (VSG) technology can provide inertial support, it struggles to balance dynamic response speed and operational stability under variable operating conditions. To address these issues, this paper proposes… More >

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 >

Iman Soltani^1,*, Farzin Fardinfar², Farhad Shahnia^3,*

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.081627 - 30 August 2026

Abstract This paper presents a probabilistic optimization framework for enhancing the photovoltaic hosting capacity of distribution networks through the coordinated operation of smart photovoltaic-static synchronous compensator (PV-STATCOM) inverters. High penetration of photovoltaic systems introduces significant operational challenges, including voltage rise, increased power losses, and reduced system reliability, particularly under uncertain load demand and intermittent solar generation. To address these challenges, a multi-objective optimization problem is formulated to simultaneously maximize the photovoltaic hosting capacity while minimizing voltage deviation and power losses, subject to network operational constraints. The proposed approach employs the Fire Hawk optimizer, a recently developed… More > Graphic Abstract

Bai Xiao^1,*, Jingjun Bu¹, Binbin Du², Yulin Ge², Jian Gao²

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.081408 - 30 August 2026

Abstract In order to solve the problem of the mismatch between the supply of electric vehicle charging stations and charging demand of electric vehicle charging stations caused by the rapid growth of electric vehicles, and the difficulty in determining the optimal site and capacity of electric vehicle charging stations, an optimisation method for the siting and sizing of electric vehicle charging stations considering the accessibility of user charging was proposed. Firstly, the road network topology structure is established in the GIS environment, and the shortest time path of the user is planned by establishing the road… More >

Boqiang Wei^*, Yiwei Feng

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.080617 - 30 August 2026

Abstract This paper presents an advanced control strategy, termed enhanced adaptive super-twisting current-constrained algorithm (CCEASTA), to address overcurrent protection challenges and reject disturbances in non-cascade permanent magnet synchronous motors (PMSM) drives. The proposed strategy consists of two fundamental components. Firstly, a gain-adaptive super-twisting sliding mode controller with current constraints is designed in a non-cascade framework. The purpose of this structure is to suppress chattering, accelerate dynamic response, and ensure overcurrent protection. Secondly, a generalized proportional-integral observer (GPIO) is incorporated to estimate unknown state variables and external disturbances in real time. The estimates thus obtained facilitate feed-forward More >