Results 121 to 130 of about 15,562 (264)

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

open access: yesENERGY &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   +3 more
wiley   +1 more source

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

open access: yesENERGY &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   +11 more
wiley   +1 more source

Selecting Between Hydrogen and Methanol for Fuel Cell‐Organic Rankine Cycle Hybrid Power Systems: A Comparative 4E Analysis

open access: yesEnergy Science &Engineering, EarlyView.
A 4E comparison of PEMFC‐ORC and DMFC‐ORC systems shows that PEMFC‐ORC achieves 21% higher energy efficiency, while DMFC‐ORC obtains 31% higher exergy efficiency and 57% lower levelized cost of electricity. However, DMFC‐ORC emits nearly twice the annual carbon dioxide equivalent of PEMFC‐ORC.
Zahra Piryaei   +2 more
wiley   +1 more source

Techno‐Economic Analysis and Multi‐Objective Optimization of a Novel Combined Cooling and Power System Driven by Geothermal Source and Waste Heat From Data Center

open access: yesEnergy Science &Engineering, EarlyView.
A novel combined cooling and power generation system is proposed by integrating organic Rankine cycle (ORC) with an absorption heat transformer, which is driven by combining geothermal energy and data center's waste heat. The system using R601a yielded the best overall performance, achieving an exergy efficiency of 40.34% and an annual cost of 130.29 k$
Zerui Chen   +4 more
wiley   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

open access: yesEnergy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem   +3 more
wiley   +1 more source

Recent Advances in the Analysis of Functional and Structural Polymer Composites for Wind Turbines. [PDF]

open access: yesPolymers (Basel)
Lagos F   +10 more
europepmc   +1 more source

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