Airflow simulation using computational fluid dynamics in a complex terrain: the consideration of wind speed, turbulent intensity and inflow angle
This paper presents an investigation of airflow over a rugged mountain to find suitable locations for wind turbines. The investigation considers turbulent intensity and inflow angle in addition to wind speed. The area of interest is the mountain around the upper reservoir of Lamtakong Jolabha Vadhan...
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Khon Kaen University
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Online Access: | https://www.tci-thaijo.org/index.php/kkuenj/article/download/21756/18767 |
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doaj-c91759c3f0d948feb5fab41f02dff8062020-11-24T20:59:35ZengKhon Kaen UniversityKKU Engineering Journal0125-82732286-94332014-03-01411112Airflow simulation using computational fluid dynamics in a complex terrain: the consideration of wind speed, turbulent intensity and inflow angleAkraphon JanonPanumas Srinor This paper presents an investigation of airflow over a rugged mountain to find suitable locations for wind turbines. The investigation considers turbulent intensity and inflow angle in addition to wind speed. The area of interest is the mountain around the upper reservoir of Lamtakong Jolabha Vadhana Hydro Power Plant, Nakhon Ratchasima, Thailand. The Lamtakong Wind Turbine Power System is located near the reservoir. Due to the ruggedness of the site, according to the angle of slopes, the existing turbines may be experiencing airflow with high turbulent intensity and non-zero inflow angle. This study uses Computational Fluid Dynamics (CFD) and Wind Atlas Analysis and Application Program (WAsP) to simulate airflow. CFD is used in the final analysis to quantify turbulent intensity and inflow angle. The turbulence model is used, while the roughness height and roughness constant are tuned according to the ground cover. Detailed examinations of cases show that the highest wind speeds do not always occur at the mountain’s peaks. High turbulent intensity leads to the exclusion of locations on the lee side of the mountain, where it reaches 18%. The inflow angles are high on the upwind side of the mountain and can go up to 20 degrees. It is found that the slopes affect the inflow angles but they do not dictate the inflow angles. Finally, the results of the highest peak suggest that most suitable turbine spot is approximately 60 m downwind from the point of highest wind speed. The power density reduces from 515.3 W/m2 to 502.6 W/m2 at 60 m hub-height. Thus, to achieve a zero inflow angle, turbines may have a power output reduction but they will experience lower turbulence and uneven loading.https://www.tci-thaijo.org/index.php/kkuenj/article/download/21756/18767Inflow angleTurbulent intensityCFDComplex terrain |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Akraphon Janon Panumas Srinor |
spellingShingle |
Akraphon Janon Panumas Srinor Airflow simulation using computational fluid dynamics in a complex terrain: the consideration of wind speed, turbulent intensity and inflow angle KKU Engineering Journal Inflow angle Turbulent intensity CFD Complex terrain |
author_facet |
Akraphon Janon Panumas Srinor |
author_sort |
Akraphon Janon |
title |
Airflow simulation using computational fluid dynamics in a complex terrain: the consideration of wind speed, turbulent intensity and inflow angle |
title_short |
Airflow simulation using computational fluid dynamics in a complex terrain: the consideration of wind speed, turbulent intensity and inflow angle |
title_full |
Airflow simulation using computational fluid dynamics in a complex terrain: the consideration of wind speed, turbulent intensity and inflow angle |
title_fullStr |
Airflow simulation using computational fluid dynamics in a complex terrain: the consideration of wind speed, turbulent intensity and inflow angle |
title_full_unstemmed |
Airflow simulation using computational fluid dynamics in a complex terrain: the consideration of wind speed, turbulent intensity and inflow angle |
title_sort |
airflow simulation using computational fluid dynamics in a complex terrain: the consideration of wind speed, turbulent intensity and inflow angle |
publisher |
Khon Kaen University |
series |
KKU Engineering Journal |
issn |
0125-8273 2286-9433 |
publishDate |
2014-03-01 |
description |
This paper presents an investigation of airflow over a rugged mountain to find suitable locations for wind turbines. The investigation considers turbulent intensity and inflow angle in addition to wind speed. The area of interest is the mountain around the upper reservoir of Lamtakong Jolabha Vadhana Hydro Power Plant, Nakhon Ratchasima, Thailand. The Lamtakong Wind Turbine Power System is located near the reservoir. Due to the ruggedness of the site, according to the angle of slopes, the existing turbines may be experiencing airflow with high turbulent intensity and non-zero inflow angle. This study uses Computational Fluid Dynamics (CFD) and Wind Atlas Analysis and Application Program (WAsP) to simulate airflow. CFD is used in the final analysis to quantify turbulent intensity and inflow angle. The turbulence model is used, while the roughness height and roughness constant are tuned according to the ground cover. Detailed examinations of cases show that the highest wind speeds do not always occur at the mountain’s peaks. High turbulent intensity leads to the exclusion of locations on the lee side of the mountain, where it reaches 18%. The inflow angles are high on the upwind side of the mountain and can go up to 20 degrees. It is found that the slopes affect the inflow angles but they do not dictate the inflow angles. Finally, the results of the highest peak suggest that most suitable turbine spot is approximately 60 m downwind from the point of highest wind speed. The power density reduces from 515.3 W/m2 to 502.6 W/m2 at 60 m hub-height. Thus, to achieve a zero inflow angle, turbines may have a power output reduction but they will experience lower turbulence and uneven loading. |
topic |
Inflow angle Turbulent intensity CFD Complex terrain |
url |
https://www.tci-thaijo.org/index.php/kkuenj/article/download/21756/18767 |
work_keys_str_mv |
AT akraphonjanon airflowsimulationusingcomputationalfluiddynamicsinacomplexterraintheconsiderationofwindspeedturbulentintensityandinflowangle AT panumassrinor airflowsimulationusingcomputationalfluiddynamicsinacomplexterraintheconsiderationofwindspeedturbulentintensityandinflowangle |
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1716782277161123840 |