scispace - formally typeset
P

Perrine Pepiot

Researcher at Cornell University

Publications -  35
Citations -  983

Perrine Pepiot is an academic researcher from Cornell University. The author has contributed to research in topics: Combustion & Computer science. The author has an hindex of 14, co-authored 32 publications receiving 768 citations. Previous affiliations of Perrine Pepiot include National Renewable Energy Laboratory.

Papers
More filters
Journal ArticleDOI

A chemical mechanism for low to high temperature oxidation of n-dodecane as a component of transportation fuel surrogates

TL;DR: In this article, a single, compact, and reliable chemical mechanism was proposed for high temperature combustion of engine relevant fuels with emphasis on soot precursors, which can accurately describe the oxidation of a wide range of fuels, which are important components of surrogate fuels.
Journal ArticleDOI

A component library framework for deriving kinetic mechanisms for multi-component fuel surrogates: Application for jet fuel surrogates

TL;DR: In this article, a flexible and evolutive component library framework is proposed, which allows mixing and matching between surrogate components to obtain short chemical mechanisms with only the necessary kinetics for the desired surrogate mixtures.
Journal ArticleDOI

Biomass Pyrolysis and Gasification of Varying Particle Sizes in a Fluidized-Bed Reactor

TL;DR: In this article, a new 4 in. (102 mm) diameter fluidized-bed reactor has been built and used to study the effect of biomass particle size on the yield of light gas and tar compounds during gasification.
Journal ArticleDOI

Numerical Analysis of the Dynamics of Two- and Three-Dimensional Fluidized Bed Reactors using an Euler-Lagrange Approach

TL;DR: In this paper, a numerical framework based on an Euler-Lagrange approach is developed and used to perform and analyze large-scale simulations of two-and three-dimensional periodic fluidized beds.
Journal ArticleDOI

Numerical characterization and modeling of particle clustering in wall-bounded vertical risers

TL;DR: In this article, a large-eddy simulation framework is combined with a Lagrangian particle tracking solver to simulate statistically stationary gravity-driven risers in vertical pipes for a large range of Archimedes numbers.