GIS aided prediction of CO2 emission dispersion from geothermal electricity production

Amin Yousefi-Sahzabi, Kyuro Sasaki, Hossein Yousefi, Saied Pirasteh, Yuichi Sugai

研究成果: ジャーナルへの寄稿記事

20 引用 (Scopus)

抄録

CO2 is the dominant constituent of non-condensable gases in the steam phase of most geothermal fluids. This paper attempts to present the results of a study conducted to develop prediction modeling of CO2 dispersion in the surrounding atmosphere from a planned 50 MWe geothermal power plant prior to its production. Dispersion models are widely used for predicting future concentrations of environmental emissions on a range of geographic scales. The dispersion type for gases and their average removal rate depends on the meteorological conditions such as wind direction, wind speed, precipitation, atmospheric stability, and surface roughness and topography. Geographic Information System (GIS) capabilities were used for quality visualization of the model outputs and presenting an accurate numerical copy of the study area. The results by the prediction model show that the natural transfer of CO2 will be from the power plant toward east and northeast and CO2 concentration trends after the power plant utilization will be similar to the background conditions with minor changes. This dispersion test was carried out to validate and field test the GIS aided dispersion modeling approach described in the paper and the procedure may be applicable for other studies assessing the emission dispersion of pollutants from a point source.

元の言語英語
ページ(範囲)1982-1993
ページ数12
ジャーナルJournal of Cleaner Production
19
発行部数17-18
DOI
出版物ステータス出版済み - 11 1 2011

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Geographic information systems
electricity
Electricity
prediction
power plant
Power plants
Geothermal power plants
geothermal power
Precipitation (meteorology)
Surface topography
Gases
surface roughness
gas
wind direction
modeling
point source
visualization
geographic information system
Prediction
CO2 emissions

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Strategy and Management

これを引用

GIS aided prediction of CO2 emission dispersion from geothermal electricity production. / Yousefi-Sahzabi, Amin; Sasaki, Kyuro; Yousefi, Hossein; Pirasteh, Saied; Sugai, Yuichi.

:: Journal of Cleaner Production, 巻 19, 番号 17-18, 01.11.2011, p. 1982-1993.

研究成果: ジャーナルへの寄稿記事

Yousefi-Sahzabi, Amin ; Sasaki, Kyuro ; Yousefi, Hossein ; Pirasteh, Saied ; Sugai, Yuichi. / GIS aided prediction of CO2 emission dispersion from geothermal electricity production. :: Journal of Cleaner Production. 2011 ; 巻 19, 番号 17-18. pp. 1982-1993.
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AU - Sugai, Yuichi

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N2 - CO2 is the dominant constituent of non-condensable gases in the steam phase of most geothermal fluids. This paper attempts to present the results of a study conducted to develop prediction modeling of CO2 dispersion in the surrounding atmosphere from a planned 50 MWe geothermal power plant prior to its production. Dispersion models are widely used for predicting future concentrations of environmental emissions on a range of geographic scales. The dispersion type for gases and their average removal rate depends on the meteorological conditions such as wind direction, wind speed, precipitation, atmospheric stability, and surface roughness and topography. Geographic Information System (GIS) capabilities were used for quality visualization of the model outputs and presenting an accurate numerical copy of the study area. The results by the prediction model show that the natural transfer of CO2 will be from the power plant toward east and northeast and CO2 concentration trends after the power plant utilization will be similar to the background conditions with minor changes. This dispersion test was carried out to validate and field test the GIS aided dispersion modeling approach described in the paper and the procedure may be applicable for other studies assessing the emission dispersion of pollutants from a point source.

AB - CO2 is the dominant constituent of non-condensable gases in the steam phase of most geothermal fluids. This paper attempts to present the results of a study conducted to develop prediction modeling of CO2 dispersion in the surrounding atmosphere from a planned 50 MWe geothermal power plant prior to its production. Dispersion models are widely used for predicting future concentrations of environmental emissions on a range of geographic scales. The dispersion type for gases and their average removal rate depends on the meteorological conditions such as wind direction, wind speed, precipitation, atmospheric stability, and surface roughness and topography. Geographic Information System (GIS) capabilities were used for quality visualization of the model outputs and presenting an accurate numerical copy of the study area. The results by the prediction model show that the natural transfer of CO2 will be from the power plant toward east and northeast and CO2 concentration trends after the power plant utilization will be similar to the background conditions with minor changes. This dispersion test was carried out to validate and field test the GIS aided dispersion modeling approach described in the paper and the procedure may be applicable for other studies assessing the emission dispersion of pollutants from a point source.

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