Results 181 to 190 of about 47,472 (265)

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

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

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

Characterisation of the apparent reflectance of a concrete calibration surface over different time scales

This paper describes results from a detailed field spectral measurement campaign, designed to assess the temporal stability of calibration surface reflectance factors.
Anderson, Karen, Milton, E.J.
core  

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

De‐Carbonizing the Transport Sector on the University Campus: A Techno‐Economic‐Environment Assessment and Optimization of PV Fed Electric Bicycles Amid Global Fuel Crisis

Energy Science &Engineering, EarlyView.
This study develops and evaluates a solar PV‐fed electric bicycle system optimized for university campuses in Pakistan. The techno‐economic analysis demonstrates significant fuel savings, emission reductions, and sustainability benefits, promoting a cost‐effective, eco‐friendly, and renewable transportation alternative amid rising global fuel and ...
Muhammad Abdullah Khan, Syed Ali Abbas Kazmi, Qamar uddin, Muhammad Umair Iftikhar, Muhammad Waseem   +4 more
wiley   +1 more source

Comparative Performance Analysis of Various Flat Plate Solar Collectors Incorporating Spiral and Square Arrangement of Circular Type Riser Tube

Energy Science &Engineering, EarlyView.
Three flat‐plate collectors with spiral and square coiled riser tubes were tested and it was found that the spiral type provides the best results with a thermal efficiency of 66.98% for a mass flow rate of 0.4 kg/min. Riser tube geometry is a key factor in optimizing flat‐plate collector output.
Sakhail Islam Biaz, Golam Sharoar Fahim, Md Akib Ul Islam, Nahyan Ahnaf Pratik, Md. Hasan Ali   +4 more
wiley   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

Temperature Coefficient Analysis of Polycrystalline PV Modules Under Field Conditions in Ghana

Energy Science &Engineering, EarlyView.
Field measurements from a commercial PV plant in Ghana show polycrystalline module temperature coefficients of −0.473%/°C—31% higher than manufacturer values—highlighting the risk of underestimating energy losses and degradation in fast‐growing West African solar deployments.
Emmanuel Akono Sarsah, Abdul‐Rahim Bawa   +1 more
wiley   +1 more source

Renewable Energies in Kazakhstan: Current Status, Potential, Challenges, and Opportunities

Energy Science &Engineering, EarlyView.
Kazakhstan has strong renewable energy potential, with wind as the leading resource and solar and other sources offering additional opportunities. Key challenges include limited infrastructure, investment needs, and grid‐related technical issues. Despite these barriers, renewables can boost economic diversification, enhance energy security, create jobs,
Lyailim Taizhanova, Akhmetov Berik, Samal Syrlybekkyzy, Shynar Baimukasheva, Symbat Koibakova, Nurkhat Zhakiyev, Mohammad Alhuyi Nazari, Mohamed Salem   +7 more
wiley   +1 more source