A computational fluid dynamics study on the effect of carbon particle seeding for the improvement of solar reactor performance

Nesrin Ozalp, Anoop Baby

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

This study focuses on a technique, referred to as "solar cracking" of natural gas for the coproduction of hydrogen and carbon as byproduct with zero emission footprint. Seeding a solar reactor with micron-sized carbon particles increases the conversion efficiency drastically due to the radiation absorbed by the carbon particles and additional nucleation sites formed by carbon particles for heterogeneous decomposition reaction. The present study numerically tries to investigate the above fact by tracking carbon particles in a Lagrangian framework. The results on the effect of particle loading, particle emissivity, injection point location, and effect of using different window screening gases on a flow and temperature distribution inside a confined tornado flow reactor are presented.

Original languageEnglish
Article number122901
JournalJournal of Heat Transfer
Volume132
Issue number12
DOIs
Publication statusPublished - 2010

Fingerprint

inoculation
computational fluid dynamics
Computational fluid dynamics
Carbon
reactors
carbon
Tornadoes
tornadoes
natural gas
Conversion efficiency
footprints
Byproducts
Hydrogen
Natural gas
emissivity
Screening
Temperature distribution
Nucleation
Gases
flow distribution

Keywords

  • carbon seeding
  • computational flow dynamics
  • hydrogen
  • solar cracking
  • solar reactor

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

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AB - This study focuses on a technique, referred to as "solar cracking" of natural gas for the coproduction of hydrogen and carbon as byproduct with zero emission footprint. Seeding a solar reactor with micron-sized carbon particles increases the conversion efficiency drastically due to the radiation absorbed by the carbon particles and additional nucleation sites formed by carbon particles for heterogeneous decomposition reaction. The present study numerically tries to investigate the above fact by tracking carbon particles in a Lagrangian framework. The results on the effect of particle loading, particle emissivity, injection point location, and effect of using different window screening gases on a flow and temperature distribution inside a confined tornado flow reactor are presented.

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