Results 71 to 80 of about 6,096 (195)

Optimization and Cost Evaluation of an Autonomous Hybrid Renewable Energy System for Electrifying Rural Areas in Nigeria

Energy Science &Engineering, EarlyView.
This research explores the techno‐economic and environmental performance of fully renewable hybrid energy systems for rural electrification in Auchi, Nigeria. HOMER Pro is utilized to model and optimize PV/WT/Battery, PV/Battery, and WT/Battery configurations under identical conditions.
Ibrahim Seidu, Sani Salisu, Abdullahi Abubakar Mas'ud, Umar Musa, Ibrahim Abdullahi Shehu, Adamu Abubakar Sa'idu, Firdaus Muhammad‐Sukki, Mohd Khairul Amri Kamarudin   +7 more
wiley   +1 more source

Thermodynamic-microphysical coupling mechanisms of hydrometeor phase transitions during persistent wind turbine icing. [PDF]

Sci Rep
Tang J, Feng T, Wang L, Li L, Zhang H, Jian Z, Ouyang Y.   +6 more
europepmc   +1 more source

Blade Count and Rotational Speed Sensitivity of Vertical‐Axis Turbines Under Guided Vehicle‐Generated Transient Wakes

Energy Science &Engineering, EarlyView.
Passing vehicles generate short‐duration wakes that can be redirected toward a vertical‐axis turbine. The interaction between wake structure, blade count, and rotational speed governs transient torque production. Low‐solidity configurations combined with tuned rotational speed enhance energy extraction under vehicle‐induced gusts.
Aydin Ulus, Stefan Ilie Moldovan
wiley   +1 more source

Experimental Study on the Aerodynamic Characteristics of a Swept-Blade Wind Turbine Under Turbulent Inflow Conditions. [PDF]

Biomimetics (Basel)
Yang J, Sha C, Wang X, Yang H.
europepmc   +1 more source

Hybrid Osprey‐Salp Swarm Optimization Algorithm for Single and Multiobjective Optimal Power Flow in Smart Grids With Renewable Energy Integration

Energy Science &Engineering, EarlyView.
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Gang Xiong, Krzysztof Ejsmont, Xiaoli Liu   +5 more
wiley   +1 more source

Synergistic ANN-GA-CFD framework for high-performance Savonius wind turbine optimization with experimental validation. [PDF]

Sci Rep
Sehsah HM, Sakr IM, Abdelsalam AM, Saad AS.   +3 more
europepmc   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

Thermal Decomposition Mechanism and Product Distribution Control of Retired Wind Turbine Blades Catalyzed by Metals. [PDF]

ACS Omega
Teng Y, Song Z, Liu D, Sun J, Gao Y, Zhu J, Song Y.   +6 more
europepmc   +1 more source

A Rapid Post‐Disaster Restoration Method for Networked Microgrids Based on Adaptive Quantum Particle Swarm Optimization

Energy Science &Engineering, EarlyView.
To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang, Qiang Li, Jun Zhang, Chaohuang Xu   +3 more
wiley   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source