Results 121 to 130 of about 15,562 (264)
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
Hybrid Forecast-Enabled Adaptive Crowbar Coordination for LVRT Enhancement in DFIG Wind Turbines. [PDF]
Su X, Kim H, Kim C, Zhang M, Jung H.
europepmc +1 more source
Flexible Direct‐Conversion X‐Ray Detectors: From Emerging Materials to Conformal Imaging
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
A global dataset of onshore wind turbines with site-specific historical (1989-2018) and future (2030-2059) wind resources across 89 countries. [PDF]
Jung C, Schindler D.
europepmc +1 more source
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
Advanced blade profiles for improved efficiency in Savonius wind turbines: the aeroleaf case study. [PDF]
Hosseinian SM, Mohseni M, Karimi MS.
europepmc +1 more source
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
Accurate remaining useful life prediction and uncertainty quantification for wind turbines using temporal convolutional variational deep Gaussian processes. [PDF]
Cui S +5 more
europepmc +1 more source
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]
Lagos F +10 more
europepmc +1 more source

