Results 51 to 60 of about 2,020 (191)

Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning

Chemie Ingenieur Technik, EarlyView.
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp, Aditya Sharma, Helene Dörksen   +2 more
wiley   +1 more source

Aggregating distributed energy resources for grid flexibility services: A distributed game theoretic approach

International Journal of Robust and Nonlinear Control, EarlyView., 2023
Abstract We propose a hierarchical energy management scheme for aggregating Distributed Energy Resources (DERs) for grid flexibility services. To prevent a direct participation of numerous prosumers in the wholesale electricity market, aggregators, as self‐interest agents in our scheme, incentivize prosumers to provide flexibility. We firstly model the
Xiupeng Chen, Mehran Shakarami, Jacquelien M. A. Scherpen, Nima Monshizadeh   +3 more
wiley   +1 more source

Extended batch adsorber analogue model (e‐BAAM) for rapid evaluation of CO2 capture pressure swing adsorption cycles

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This work presents a simplified extended‐batch adsorber analogue model (e‐BAAM) to quantify key performance metrics such as purity, recovery, and energy trends for various pressure swing adsorption (PSA) process cycles for CO2$$ {\mathrm{CO}}_2 $$ capture.
Gwyneth Liske, Arvind Rajendran
wiley   +1 more source

Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers

The Canadian Journal of Chemical Engineering, EarlyView.
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger, Sálvio Lima de Carvalho Neto, Silvio Edegar Weschenfelder, Glaucia Rodrigues Vieira de Almeida da Fonseca, Maria de Fátima Rodrigues da Cunha, Selene Maria Arruda Guelli Ulson de Souza, Evandro Balestrin, Adriano da Silva   +7 more
wiley   +1 more source

Analyzing zero‐truncated recurrent event data by stratified regression with time‐varying coefficients

Canadian Journal of Statistics, EarlyView.
Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen, X. Joan Hu, Rhonda J. Rosychuk, Leilei Zeng   +3 more
wiley   +1 more source

Compact Manifolds With Unbounded Nilpotent Fundamental Groups and Positive Ricci Curvature

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT It follows from the work of Kapovitch and Wilking that a closed manifold with nonnegative Ricci curvature has a uniformly almost nilpotent fundamental group. Leftover questions and conjectures, have asked if in this context the fundamental group is actually uniformly almost abelian. The main goal of this work is to construct examples (Mk9,gk)$(
Elia Bruè, Aaron Naber, Daniele Semola
wiley   +1 more source

Machine Learning Unveils Isolated‐Surrounded Pt Motifs in High‐Entropy Alloys for Superior Low‐Temperature Ammonia Oxidation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A physics‐informed machine learning approach successfully decodes the complex catalytic activity of high‐entropy alloys for ammonia oxidation. By revealing a synergistic mechanism involving lattice and electronic couplings, the study identifies a superior “isolated‐surrounded” platinum motif.
Shangfeng Jiang, Ting Tao, Kexiang Guo, Xinyu Fan, Xu Zhang, Zhen Zhou   +5 more
wiley   +1 more source

How Multiple Streams Influence Agenda‐Setting for Water Reuse in Swiss Substates

Environmental Policy and Governance, EarlyView.
ABSTRACT As climate change creates significant challenges for both the environment and society, potential mitigation and adaptation solutions are widely discussed. Yet, neither challenges nor their potential solutions automatically reach the political agenda or lead to a policy decision.
Magdalena A. Knabl, Katrin Pakizer, Manuel Fischer, Eberhard Morgenroth, Christian Binz   +4 more
wiley   +1 more source

A Three‐Parameter Continuum Timoshenko Beam Framework for Evaluating Higher‐Mode Effects in High‐Rise Buildings With Rotational and Translational Base Flexibility

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Higher‐mode effects can significantly amplify seismic demands in high‐rise buildings, causing unintended damage over the building height. Engineered mechanisms are introduced at the base of these structures to mitigate higher‐mode effects. Existing continuum formulations for base‐flexible buildings commonly idealize the superstructure as a ...
Mohammad Hossein Asadi Jafari, Jianhui Zhou, Fei Tong   +2 more
wiley   +1 more source

Immersed Boundary Projection Method for Boundaries With Slip Velocities

International Journal for Numerical Methods in Fluids, EarlyView.
A formulation of the immersed boundary method for incompressible flow over arbitrarily‐shaped bodies with surface slip described by the Navier boundary condition is presented. The wall slip velocity and the boundary force are determined implicitly through a projection to satisfy both the boundary condition and the divergence‐free condition of the ...
Takehiro Fujii, Takeshi Omori
wiley   +1 more source