Results 161 to 170 of about 275,828 (252)
EcoEnergy, EarlyView.As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor +3 more
wiley +1 more source
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A first‐of‐its‐kind review benchmarks three solar methane valorization pathways with unified performance metrics for clean fuel production. Meeting global climate targets and sustainable energy demands requires carbon‐neutral fuels and innovative conversion pathways.
Muhammad Abdulmoez +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 +11 more
wiley +1 more source
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Risk‐based seismic assessments using demand curves that provide mean annual exceedance rates for various system demand levels are increasingly being adopted. Such assessments combine the seismic hazard curve with fragility functions for each demand level, serving as a basis to quantify the average annual losses from system damage. Constructing
Zeyad Khalil +2 more
wiley +1 more source
Energy Science &Engineering, EarlyView.A numerical model of variable‐speed pumped storage unit (VSPSU) with full‐size converter (FSC) under fast speed control strategy is established. Additionally, the correctness of the model was validated by comparing with SIMSEN simulation results and text prototype data from NARI.
Weijia Yang +5 more
wiley +1 more source
Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm
Energy Science &Engineering, EarlyView.Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson +3 more
wiley +1 more source
Energy Science &Engineering, EarlyView.Integration of a steam cycle with an existing gas turbine increased efficiency from 32% to 51%, reducing fuel consumption by 21.4% and CO2 emissions by 18.6%. The modification generated USD 13.9 million annual savings and lowered the Levelized Cost of Energy to 38.7 USD/MWh, with a 3‐year payback.
Vahid Pirouzfar +2 more
wiley +1 more source
Energy Science &Engineering, EarlyView.A deep reinforcement learning–based control architecture is proposed to coordinate heat pumps, thermal storage, renewable energy, and demand response in data center waste heat recovery systems. The agent learns optimal control actions from system states and reward feedback to achieve electrical–thermal co‐optimization under realistic operational ...
Rendong Shen +5 more
wiley +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
Energy Science &Engineering, EarlyView.This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source