成果報告書詳細
管理番号20140000000480
タイトル*平成25年度中間年報 地熱発電技術研究開発 発電所の環境保全対策技術開発 地熱発電所に係る環境アセスメントのための硫化水素拡散予測数値モデルの開発
公開日2014/7/5
報告書年度2013 - 2013
委託先名一般財団法人電力中央研究所
プロジェクト番号P13009
部署名新エネルギー部
和文要約
英文要約Title: Research and Development of Geothermal Power Generation Technology, Technology Development for Environment Preservation Measures of Power Plants, Development of Numerical Models for Predicting the Dispersion of Hydrogen Sulfide in the Environmental Impact Assessments of Geothermal Power Plants (FY2013-FY2015) FY2013 Annual Report

In the environmental impact assessment of geothermal power plants, it is required to predict the ground concentration of hydrogen sulfide emitted from the cooling towers with the exhaust air. The height of the cooling towers of geothermal power plants is mostly less than 30 meters, hence the dispersion of hydrogen sulfide is strongly affected by the surrounding terrains and buildings. Currently, the ground concentration is evaluated by wind-tunnel experiment considering the effects of terrains, buildings, and rising process of exhaust gas. Although the wind-tunnel experiment is one of the most suitable methods to assess the hydrogen sulfide concentration in such situations, it has the drawbacks of high cost and time-consuming processes. Therefore, the development of cost-effective alternative numerical models is desired. The goal of this project is to propose two types of numerical models that can substitute for the wind-tunnel experiment. One is a simple plume model which is easy to handle and is applicable to relatively smooth terrains. The other is a computational fluid dynamics (CFD) model which has the potential to predict the gas concentration with high accuracy and is applicable to complex terrains.
This year, we obtained experimental data for the evaluation of the model accuracy. The data include the distributions of wind speed, turbulence intensities, and concentrations of the exhaust gas with and without the effect of a simple hill. Regarding the development of simple plume model, we included sub-models to an existing model to consider the building effects and multiple fans of cooling towers. The accuracy of the CFD model was tested for both the flat terrain and the simple hill by comparing the wind-tunnel data. It is indicated that the current model can predict the wind speed for the flat terrain, but not for the wake behind the hill wherein the flow is very sensitive to the boundary conditions and turbulence models.
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