Results 101 to 110 of about 466,679 (263)

System‐level analysis of industrial electrification

open access: yesAIChE Journal, EarlyView.
ABSTRACT Electrification is a promising method for industrial decarbonization, but understanding its potential is challenging due to the plethora of relevant technologies and industrial sectors it can be applied to. To this end, we develop an assessment framework to quantify the cost and environmental impacts of electrification, including the option to
Julia Granacher   +2 more
wiley   +1 more source

Adolescent road safety: pedestrian behavior in ADHD and typically developing groups

open access: yesBMC Psychology
Background Interaction with the road environment as a pedestrian begins early, increasing during adolescence with growing independence. However, pedestrians face crash risks, particularly those with Attention Deficit Hyperactivity Disorder (ADHD ...
Elizabeth Doerr   +9 more
doaj   +1 more source

Phase change material integrated core–shell catalyst for in situ thermal control in methanol synthesis from syngas

open access: yesAIChE Journal, EarlyView.
Abstract A model‐guided core–shell catalyst design is presented for methanol synthesis, featuring a phase change material (PCM) core encapsulated by a Cu–Zn–Al2$$ {}_2 $$O3$$ {}_3 $$ (CZA) catalytic shell. The PCM enables in situ thermal management by absorbing reaction heat at its melting point, mitigates the kinetic decline at high temperatures and ...
Canan Karakaya, Tugba Turnaoglu
wiley   +1 more source

Development and systematic evaluation of triamine‐based functional deep eutectic solvents for efficient CO2 capture

open access: yesAIChE Journal, EarlyView.
Abstract The development of advanced absorbents for effectively capturing carbon dioxide is crucial in mitigating greenhouse gas emissions. This study introduced a series of deep eutectic solvents (DESs) for CO2 capture and identified the most promising DESs with the stepwise screening method based on their absorption capacity, absorption rate, thermal
Qiangbing Shi   +7 more
wiley   +1 more source

A critical review of porous adsorbents for air separation: From fundamental insights to rational adsorbent design

open access: yesAIChE Journal, EarlyView.
Abstract Air separation via selective adsorption using porous adsorbents offers energy‐efficient alternatives to cryogenic distillation for producing high‐purity O2 and N2. Adsorbent efficacy depends on balancing selectivity, durability, and performance consistency across varying conditions. This comprehensive review critically discusses the design and
Tianqi Wang   +9 more
wiley   +1 more source

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

open access: yesAIChE Journal, EarlyView.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana   +3 more
wiley   +1 more source

3D investigation and modeling of the geometric effects on porosity in packed beds

open access: yesAIChE Journal, EarlyView.
Abstract In porous beds, physical boundaries restrict particle arrangement, leading to inhomogeneous porosity. This paper reports on the porosity profiles that are the result of geometric effects on monodisperse packed beds in cylindrical and cubic arrangements. Special focus is given to the influence of edges and corners in cubic geometries.
Bastian Oldach   +3 more
wiley   +1 more source

Internet of Things‐Based Framework Application at a University Campus Scale: Linking Smart Monitoring Systems and Stormwater Management

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si   +16 more
wiley   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai   +8 more
wiley   +1 more source

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