Simulating the Wind Energy Distribution in the Coastal Hilly Area of the Jiaodong Peninsula Using the Weather Research and Forecasting Model
This study simulated the wind energy density distribution in the Jiaodong Peninsula region using the Weather Research and Forecasting (WRF) Model. The impacts of different boundary-layer and near-surface parameterization schemes on the simulated wind speed and direction were investigated. The result...
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MDPI AG
2024-01-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/15/1/101 |
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| author | Yunhai Song Sen He Zhenzhen Zhou Liwei Wang Yufeng Yang Zheng Li Zhiqiu Gao |
| author_facet | Yunhai Song Sen He Zhenzhen Zhou Liwei Wang Yufeng Yang Zheng Li Zhiqiu Gao |
| author_sort | Yunhai Song |
| collection | DOAJ |
| description | This study simulated the wind energy density distribution in the Jiaodong Peninsula region using the Weather Research and Forecasting (WRF) Model. The impacts of different boundary-layer and near-surface parameterization schemes on the simulated wind speed and direction were investigated. The results indicate that the Yonsei University (YSU) scheme and the Quasi-Normal Scale Elimination (QNSE) scheme performed optimally for wind speed and wind direction. We also conducted a sensitivity test of the simulation results for atmospheric pressure, air temperature, and relative humidity. The statistical analysis showed that the YSU scheme performed optimally, while the MRF and BL schemes performed poorly. Following this, the wind energy distribution in the coastal hilly areas of the Jiaodong Peninsula was simulated using the YSU boundary-layer parameterization scheme. The modeled wind energy density in the mountainous and hilly areas of the Jiaodong Peninsula were higher than that in other regions. The wind energy density exhibits a seasonal variation, with the highest values in spring and early summer and the lowest in summer. In spring, the wind energy density over the Bohai Sea is higher than over the Yellow Sea, while the opposite trend is modeled in summer. |
| first_indexed | 2024-03-08T11:06:13Z |
| format | Article |
| id | doaj.art-48ca3234dd8c42cf99f8a59aa2c2159c |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-08T11:06:13Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-48ca3234dd8c42cf99f8a59aa2c2159c2024-01-26T15:02:24ZengMDPI AGAtmosphere2073-44332024-01-0115110110.3390/atmos15010101Simulating the Wind Energy Distribution in the Coastal Hilly Area of the Jiaodong Peninsula Using the Weather Research and Forecasting ModelYunhai Song0Sen He1Zhenzhen Zhou2Liwei Wang3Yufeng Yang4Zheng Li5Zhiqiu Gao6China Southern Power Grid Co., Ltd. Ultra High Voltage Transmission Company, Electric Power Research Institute, Guangzhou 510663, ChinaChina Southern Power Grid Co., Ltd. Ultra High Voltage Transmission Company, Electric Power Research Institute, Guangzhou 510663, ChinaChina Southern Power Grid Co., Ltd. Ultra High Voltage Transmission Company, Electric Power Research Institute, Guangzhou 510663, ChinaChina Southern Power Grid Co., Ltd. Ultra High Voltage Transmission Company, Electric Power Research Institute, Guangzhou 510663, ChinaChina Southern Power Grid Co., Ltd. Ultra High Voltage Transmission Company, Electric Power Research Institute, Guangzhou 510663, ChinaSchool of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaSchool of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaThis study simulated the wind energy density distribution in the Jiaodong Peninsula region using the Weather Research and Forecasting (WRF) Model. The impacts of different boundary-layer and near-surface parameterization schemes on the simulated wind speed and direction were investigated. The results indicate that the Yonsei University (YSU) scheme and the Quasi-Normal Scale Elimination (QNSE) scheme performed optimally for wind speed and wind direction. We also conducted a sensitivity test of the simulation results for atmospheric pressure, air temperature, and relative humidity. The statistical analysis showed that the YSU scheme performed optimally, while the MRF and BL schemes performed poorly. Following this, the wind energy distribution in the coastal hilly areas of the Jiaodong Peninsula was simulated using the YSU boundary-layer parameterization scheme. The modeled wind energy density in the mountainous and hilly areas of the Jiaodong Peninsula were higher than that in other regions. The wind energy density exhibits a seasonal variation, with the highest values in spring and early summer and the lowest in summer. In spring, the wind energy density over the Bohai Sea is higher than over the Yellow Sea, while the opposite trend is modeled in summer.https://www.mdpi.com/2073-4433/15/1/101Weather Research and Forecasting Modelwind energy density distributionnear-surface wind fieldthe most recent land-use types |
| spellingShingle | Yunhai Song Sen He Zhenzhen Zhou Liwei Wang Yufeng Yang Zheng Li Zhiqiu Gao Simulating the Wind Energy Distribution in the Coastal Hilly Area of the Jiaodong Peninsula Using the Weather Research and Forecasting Model Atmosphere Weather Research and Forecasting Model wind energy density distribution near-surface wind field the most recent land-use types |
| title | Simulating the Wind Energy Distribution in the Coastal Hilly Area of the Jiaodong Peninsula Using the Weather Research and Forecasting Model |
| title_full | Simulating the Wind Energy Distribution in the Coastal Hilly Area of the Jiaodong Peninsula Using the Weather Research and Forecasting Model |
| title_fullStr | Simulating the Wind Energy Distribution in the Coastal Hilly Area of the Jiaodong Peninsula Using the Weather Research and Forecasting Model |
| title_full_unstemmed | Simulating the Wind Energy Distribution in the Coastal Hilly Area of the Jiaodong Peninsula Using the Weather Research and Forecasting Model |
| title_short | Simulating the Wind Energy Distribution in the Coastal Hilly Area of the Jiaodong Peninsula Using the Weather Research and Forecasting Model |
| title_sort | simulating the wind energy distribution in the coastal hilly area of the jiaodong peninsula using the weather research and forecasting model |
| topic | Weather Research and Forecasting Model wind energy density distribution near-surface wind field the most recent land-use types |
| url | https://www.mdpi.com/2073-4433/15/1/101 |
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