Results 141 to 150 of about 214,387 (249)

Enhancing Energy Efficiency and Reducing Emissions in the Textile Industry of Bangladesh: A Pathway to Sustainability

open access: yesEnergy Science &Engineering, EarlyView.
The study shows how major energy consumption in different sectors of Bangladesh's textile industry, driven by conventional electric motors, can be reduced by adopting Variable Speed Drives (VSD) and High‐Efficiency Motors (HEM). VSDs lower energy use through speed reductions of 20%, 40%, and 60%, while HEMs improve efficiency under motor loads of 50 ...
Mohammad Ahsan Habib   +4 more
wiley   +1 more source

Investigation of the Dynamic Evolution Mechanism of Bed Separation in Karst Aquifers and Risk Assessment of Water Inrush

open access: yesEnergy Science &Engineering, EarlyView.
This study reveals the temporal and spatial evolution law of roof separation under the karst aquifer and the dynamic water inrush mechanism of roof separation. The FAHP–EWM–CRITIC combination weighting method was established to obtain the risk zoning of bed separation water inrush in a karst landform mining area. ABSTRACT Coalfields in northern Guizhou
Xilong Zhu   +5 more
wiley   +1 more source

Public Perceptions and Engagement for Carbon Capture, Utilization, and Storage: Literature Review With a Case Study of Utah, USA

open access: yesGreenhouse Gases: Science and Technology, EarlyView.
ABSTRACT Carbon dioxide capture, utilization, and storage (CCUS) is a potential key to mitigating anthropogenic CO2 emissions and associated impacts on global climate change. Successful CCUS deployment hinges on both technological advancements and public support.
Ting Xiao   +6 more
wiley   +1 more source

Development and Application of a Simplified Method for Preliminary Assessment of Enhanced Oil Recovery and CO2 Geological Storage in Petroleum Reservoirs

open access: yesGreenhouse Gases: Science and Technology, EarlyView.
ABSTRACT Geologic carbon storage in depleted oil and gas reservoirs is a key CO2 mitigation strategy, utilizing existing infrastructure such as injection wells and pipelines, while capitalizing on well‐characterized subsurface properties. This article introduces a versatile methodology designed to estimate critical parameters, including the number of ...
Nívia Morgana de Oliveira   +2 more
wiley   +1 more source

Surface Variable-Based Machine Learning for Scalable Arsenic Prediction in Undersampled Areas. [PDF]

open access: yesGeohealth
Azad S   +11 more
europepmc   +1 more source

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