Results 161 to 170 of about 204,718 (355)

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

open access: yesEnergy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi   +8 more
wiley   +1 more source

Coupled Fluid–Structure–Acoustic Analysis of Flow‐Induced Noise Control Using an Elastic Baffle in a Micro Channel

open access: yesEnergy Science &Engineering, EarlyView.
This research explores how fluid flow, structural movement, and sound interact in an elastic baffle system. Using a numerical approach based on the finite element method, the study analyzes how noise and vibrations change with different baffle configurations. The findings reveal that shortening the baffle by half reduces noise transmission by 9%, while
Tohid Adibi   +5 more
wiley   +1 more source

Study on the Influence of Slope Static Load on Shallow Lining Support Structure

open access: yesEnergy Science &Engineering, EarlyView.
On the basis of the background of the shallow‐buried main adit supported by stone lining, the mechanical model of the supporting structure is constructed, and the stability of the supporting structure is analyzed by using the methods of field investigation, theoretical analysis, and numerical simulation.
Hongwei Wang   +3 more
wiley   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

open access: yesEnergy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen   +4 more
wiley   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

open access: yesGreenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira   +5 more
wiley   +1 more source

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