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CFD simulation of CO2 dispersion from urban thermal power plant: Analysis of turbulent Schmidt number and comparison with Gaussian plume model and measurements

  • Francisco Toja-Silva
  • , Jia Chen
  • , Stephan Hachinger
  • , Frank Hase

Research output: Contribution to journalArticlepeer-review

74 Scopus citations

Abstract

This investigation presents computational fluid dynamics (CFD) simulations of carbon dioxide (CO2) dispersion from a natural gas-fueled thermal power plant in an urban environment. The results are compared with experimental measurements of column-averaged dry-air mole fraction (XCO2) on the site, obtaining a good agreement. Different turbulent Schmidt numbers are compared, and we suggest a value for being used in full-scale simulations. The particular characteristics, e.g. azimuth and elevation angles of the XCO2 measurement, are analyzed and taken into account for the comparison with simulation results. The conclusions from this comparison are useful not only for the XCO2 experimental data analysis, but also for the efficient and successful design of future measurement campaigns. The simulation results are also compared with the Gaussian plume model, and a new parametrization (i.e. vertical dispersion parameter) is suggested for being used in the urban environment. Additionally, CO2 concentration maps for an urban area are presented, and the spatial distribution is analyzed.

Original languageEnglish
Pages (from-to)177-193
Number of pages17
JournalJournal of Wind Engineering and Industrial Aerodynamics
Volume169
DOIs
StatePublished - Oct 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • CFD
  • Column-averaged dry-air mole fraction measurement
  • Gaussian plume model
  • OpenFOAM
  • Pollutant dispersion
  • Urban areas

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