Results 241 to 250 of about 24,966 (315)

Low‐Dimensional Materials and Van Der Waals Heterostructures for Energy Application: A Comprehensive Review

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam, Sajjad Ali, Pir Muhammad Ismail, ABM Sharif Hossain   +3 more
wiley   +1 more source

Photothermal–Magnetocaloric Coupled Evaporators for Actively Adjustable Water Evaporation and Oil–Water Purification in Complex Environments

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A photothermal–magnetocaloric coupled aerogel evaporator is developed for actively adjustable water evaporation in complex environments. Magnetocaloric heating provides active energy compensation under low‐light conditions and disrupts interfacial hydrogen‐bond networks to promote evaporation.
Jingbo He, Dan Yang, Chunyu Yang, Ruihan Guo, Mengshu Xu, Dongxue Wang, Zhuoran Yang, Jian Huang, Wei Guo   +8 more
wiley   +1 more source

ZnO Nanowires by Chemical Bath Deposition: A Review on Doping and Functional Devices

Electron, EarlyView.
This review reports the most recent and well‐established state‐of‐the‐art and scientific challenges related to the doping of ZnO nanowires by chemical bath deposition, encompassing native point and hydrogen‐related defects, as well as extrinsic dopants.
Clément Lausecker, Adrien Baillard, Estelle Appert, Vincent Consonni   +3 more
wiley   +1 more source

Research on the Impact of Power Industry Agglomeration on the Development of Energy Industry—Empirical Evidence From China's Provincial Panel

Energy Science &Engineering, EarlyView.
ABSTRACT Under the background of Global Climate Governance and “double carbon” goals, power industry agglomeration is an important path to promote the development of energy industry, and its mechanism and impact effect need to be further explored.
Tanbo Zhu, Wei Bu
wiley   +1 more source

Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments

Energy Science &Engineering, EarlyView.
ABSTRACT The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to ...
Manoharan Premkumar, Ravichandran Sowmya, Jagarapu S. V. Siva Kumar, Mustafa Abdullah   +3 more
wiley   +1 more source

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

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

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