Results 61 to 70 of about 2,490 (219)

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

Flexible Direct‐Conversion X‐Ray Detectors: From Emerging Materials to Conformal Imaging

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This comprehensive review analyzed the performance, challenges, and future directions of four emerging material systems for next‐generation flexible direct‐conversion X‐ray detectors: organic semiconductors, perovskites, metal–organic frameworks, and inorganic metal compounds.
Haipeng Di, Guoliang Ma, Jiaxin Mu, Kailian Dong, Haibin Li, Manjing Wang, Xin Song, Haojin Li, Jianwei Xu, Yiying Zhao, Jingjing Zhao, Guojia Fang   +11 more
wiley   +1 more source

Constructing Policy (In)coherence in Germany's Energy Transition and Impacts on (In)equality

Environmental Policy and Governance, EarlyView.
ABSTRACT Policy coherence is widely regarded as essential for achieving sustainable development, climate targets, and reducing inequality, as reflected in the 2030 Agenda for Sustainable Development. Recent scholarship has moved beyond technocratic approaches, drawing on comparative politics, particularly the “3 I's” of ideas, interests, and ...
Alexia Faus Onbargi, Ines Dombrowsky
wiley   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +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

Exergy‐Based Simulation and Optimization of Multiagent MSW Gasification for Sustainable Energy Recovery Using Aspen Plus

Energy Science &Engineering, EarlyView.
ABSTRACT Thermochemical gasification is one of the most efficient methods for producing solid waste synthesis gas. Therefore, to predict and analyze the process of gasification of municipal solid waste (MSW) in a downdraft fixed‐bed gasification reactor with a thermal capacity of 2.1 kW, a comprehensive numerical modeling approach based on Gibbs free ...
Mohammad Reza Gharib, Payam Danesh, Ali Delarami   +2 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

Performance enhancement of a sugarcane bagasse-fired steam power plant through flue gas-assisted drying: a case study of Metehara Sugar Factory, Ethiopia. [PDF]

Sci Rep
G/Micheal HK, Syum GG.
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