A new wind tunnel technique for investigating gas diffusion behind a structure

Okabayashi, Kazuki; Ide, Yasuo; Takahashi, Hidenori; Kane, N; Okamoto, Satoru; Kobayashi, Kōji

doi:10.1016/0960-1686(91)90233-w

Cited by 7 publications

(10 citation statements)

References 2 publications

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“…The rotational speed is controlled by a pulse motor so that the disturbance of airflow by the rotation of a topographical model can be avoided. Okabayashi et al 41 compared the result of the wind tunnel experiment with data from a field tracer experiment for a 1/10-scale model of a ventilation tower and confirmed the reliability of the overlapping method.…”

Section: Evaluation Of Topographical Effectsmentioning

confidence: 92%

“…The overlapping technique and the schematic of the wind tunnel used in this study are described in detail by Okabayashi et al 41 The wind tunnel experiment using the overlapping technique was conducted by the Nagasaki Research and Development Center for Mitsubishi Heavy Industries. The wind tunnel has a test section 3 m wide, 2 m high, and 25 m long.…”

Section: Evaluation Of Topographical Effectsmentioning

confidence: 99%

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An Atmospheric Dispersion Model for the Environmental Impact Assessment of Thermal Power Plants in Japan—A Method for Evaluating Topographical Effects

Ichikawa

Sada

2002

Journal of the Air & Waste Management Association

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An atmospheric dispersion model was developed for the environmental impact assessment of thermal power plants in Japan, and a method for evaluating topographical effects using this model was proposed. The atmospheric dispersion model consists of an airflow model with a turbulence closure model based on the algebraic Reynolds stress model and a Lagrangian particle dispersion model (LPDM). The evaluation of the maximum concentration of air pollutants such as SO 2 , NO x , and suspended particulate matter is usually considered of primary importance for environmental impact assessment. Three indices were therefore estimated by the atmospheric dispersion model: the ratios (α and β, respectively) of the maximum concentration and the distance of the point of the maximum concentration from the source over topography to the respective values over a flat plane, and the relative concentration distribution [γ(x)] along the ground surface projection of the plume axis normalized by the maximum concentration over a flat plane. The atmospheric dispersion model was applied to the topography around a power plant with a maximum elevation of more than 1000 m. The values of α and β evaluated by the atmospheric dispersion model varied between 1 and 3 and between 1 and 0.4, respectively, depending on the topographical features. These results and the calculated distributions of γ(x) were highly similar to the results of the wind tunnel experiment. Therefore, when the slope of a hill or mountain is similar to the topography considered in this study, it is possible to evaluate topographical effects on exhaust gas dispersion with reasonable accuracy using the atmospheric dispersion model as well as wind tunnel experiments.

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Section: Evaluation Of Topographical Effectsmentioning

confidence: 92%

Section: Evaluation Of Topographical Effectsmentioning

confidence: 99%

An Atmospheric Dispersion Model for the Environmental Impact Assessment of Thermal Power Plants in Japan—A Method for Evaluating Topographical Effects

Ichikawa

Sada

2002

Journal of the Air & Waste Management Association

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“…The present wind-tunnel experiments were conducted in the larger test section (test Section I) with dimensions of 17.0 mˆ3.0 mˆ1.7 m in the streamwise (x), spanwise (y) and vertical (z) directions, respectively. The wind tunnel in MHI is 25.0 mˆ3.0 mˆ2.0 m in the x, y and z directions, respectively [8]. The instantaneous velocity was measured by laser Doppler velocimetry in the CRIEPI experiments and hot wire anemometry in the MHI experiments.…”

Section: Wind-tunnel Experimentsmentioning

confidence: 99%

Effect of Additional Structure on Effective Stack Height of Gas Dispersion in Atmosphere

2016

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Wind-tunnel experiments were conducted to evaluate the effect of additional structure (building, sea wall and banking) on the effective stack height, which is usually used in safety analyses of nuclear power facilities in Japan. The effective stack heights were estimated with and without the additional structure in addition to the reactor building while varying several conditions such as the source height, the height of additional structure and the distance between the source position and the additional structure. When the source height is equivalent to the reactor building height, the additional structure enhances both the vertical and horizontal gas dispersion widths and decreases the ground gas concentration, and it means that the additional structure does not decrease the effective stack height. When the source height is larger than the reactor height, the additional structures might affect the effective stack height. As the distance between the source and the additional structure decreases, or as the height of the additional structure increases, the structure has a larger effect on the effective stack height.

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“…This could be due to the negative pressure field in the leeward of the truck cabin, which draws the plume downward. x'=20 inches, Eqn (4)(5)(6)(7)(8)(9)(10)(11)(12) x'=20 inches, Test…”

Section: Plume Centerline and Plume Risementioning

confidence: 99%

“…x'=80 inches, Eqn (4)(5)(6)(7)(8)(9)(10)(11)(12) x'=80 inches, Test The PM sampling instrumentations used in these tests included MOUDI, PM 2.5 , PM 1.0 cyclones, and total PM sampling system. However, it was necessary to establish size-selective sampling of PM with a MOUDI from natural gas vehicles.…”

Section: Plume Centerline and Plume Risementioning

confidence: 99%

Analysis of particulate matter concentration and size distribution in heavy-duty vehicle exhaust emissions

Xu¹

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A new wind tunnel technique for investigating gas diffusion behind a structure

Cited by 7 publications

References 2 publications

An Atmospheric Dispersion Model for the Environmental Impact Assessment of Thermal Power Plants in Japan—A Method for Evaluating Topographical Effects

An Atmospheric Dispersion Model for the Environmental Impact Assessment of Thermal Power Plants in Japan—A Method for Evaluating Topographical Effects

Effect of Additional Structure on Effective Stack Height of Gas Dispersion in Atmosphere

Analysis of particulate matter concentration and size distribution in heavy-duty vehicle exhaust emissions

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