Evaluation of the Sensitivity of Pbl and Sgs Treatments in Different Flow Fields Using the Wrf-Les at Perdigão
| dc.contributor.author | Yilmaz, Erkan | |
| dc.contributor.author | Mentes, Sukran Sibel | |
| dc.contributor.author | Kirkil, Gokhan | |
| dc.date.accessioned | 2025-04-15T23:41:49Z | |
| dc.date.available | 2025-04-15T23:41:49Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | This study investigates the effectiveness of the large eddy simulation version of the Weather Research and Forecasting model (WRF-LES) in reproducing the atmospheric conditions observed during a Perdig & atilde;o field experiment. When comparing the results of the WRF-LES with observations, using LES settings can accurately represent both large-scale events and the specific characteristics of atmospheric circulation at a small scale. Six sensitivity experiments are performed to evaluate the impact of different planetary boundary layer (PBL) schemes, including the MYNN, YSU, and Shin and Hong (SH) PBL models, as well as large eddy simulation (LES) with Smagorinsky (SMAG), a 1.5-order turbulence kinetic energy closure (TKE) model, and nonlinear backscatter and anisotropy (NBA) subgrid-scale (SGS) stress models. Two case studies are selected to be representative of flow conditions. In the northeastern flow, the MYNN NBA simulation yields the best result at a height of 100 m with an underestimation of 3.4%, despite SH generally producing better results than PBL schemes. In the southwestern flow, the MYNN TKE simulation at station Mast 29 is the best result, with an underestimation of 1.2%. The choice of SGS models over complex terrain affects wind field features in the boundary layer more than above the boundary layer. The NBA model generally produces better results in complex terrain when compared to other SGS models. In general, the WRF-LES can model the observed flow with high-resolution topographic maps in complex terrain with different SGS models for both flow regimes. | en_US |
| dc.description.sponsorship | ITU Coordination Unit for Scientific Research Projects (ITU-BAP); “High Resolution Wind Filed Determination" (ITU-BAP); [MDK-2018-41233] | en_US |
| dc.description.sponsorship | This research was supported by the ITU Coordination Unit for Scientific Research Projects (ITU-BAP) (grant nos. MDK-2018-41233) and part of the Special Issue "Meso-Micro Model Coupling with WRF-LES and High Resolution Wind Filed Determination" (ITU-BAP). | en_US |
| dc.description.sponsorship | National Science Foundation, NSF; National Center for High Performance Computing of Turkey; International Technological University, ITU; European Commission, EC; Energistyrelsen, DEA; United States - Israel Binational Science Foundation, BSF; German Federal Ministry of Economy and Energy, Portugal Foundation for Science and Technology, US Army Research Laboratory; Ulusal Yüksek Başarımlı Hesaplama Merkezi, Istanbul Teknik Üniversitesi, UHeM, (1016072023); Ulusal Yüksek Başarımlı Hesaplama Merkezi, Istanbul Teknik Üniversitesi, UHeM; Bilimsel Araştırma Projeleri Birimi, İstanbul Teknik Üniversitesi, BAP, (MDK—2018-41233); Bilimsel Araştırma Projeleri Birimi, İstanbul Teknik Üniversitesi, BAP | |
| dc.description.sponsorship | The Perdigão field campaign was primarily funded by the US National Science Foundation, European Commission’s ERANET+, Danish Energy Agency, German Federal Ministry of Economy and Energy, Portugal Foundation for Science and Technology, US Army Research Laboratory, and Israel Binational Science Foundation. This study used the Advanced Research WRF-ARW model and the WRF Preprocessing System (WPS) version 3.8.1 (Boulder, CO, USA). The WRF-ARW and WPS are publicly available at http://www2.mmm.ucar.edu/wrf/users/ (accessed on 1 November 2021). Initial and boundary condition data were provided by the ERA-5 dataset with 0.3° from https://cds.climate.copernicus.eu/ (accessed on 1 November 2021). Land cover and elevation datasets at 30 s resolutions were used and provided by http://www2.mmm.ucar.edu/wrf/src/wps_files/ (accessed on 1 November 2021). The computing resources used in this work were provided by the National Center for High Performance Computing of Turkey (UHeM) under grant number 1016072023. Acknowledgment is due to Fahri Mert Sayınta for his support throughout this study. | |
| dc.identifier.doi | 10.3390/en18061372 | |
| dc.identifier.issn | 1996-1073 | |
| dc.identifier.scopus | 2-s2.0-105001103146 | |
| dc.identifier.uri | https://doi.org/10.3390/en18061372 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/7273 | |
| dc.language.iso | en | en_US |
| dc.publisher | Mdpi | en_US |
| dc.relation.ispartof | Energies | |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Wind Energy | en_US |
| dc.subject | Resource Assessment | en_US |
| dc.subject | Large Eddy Simulation | en_US |
| dc.subject | Planetary Boundary Layer | en_US |
| dc.title | Evaluation of the Sensitivity of Pbl and Sgs Treatments in Different Flow Fields Using the Wrf-Les at Perdigão | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
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| gdc.author.wosid | Menteş, Şükran/ABH-1829-2020 | |
| gdc.author.wosid | KIRKIL, GOKHAN/X-9501-2019 | |
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| gdc.description.department | Kadir Has University | en_US |
| gdc.description.departmenttemp | [Yilmaz, Erkan; Mentes, Sukran Sibel] Istanbul Tech Univ, Fac Aeronaut & Astronaut, Dept Climate Sci & Meteorol Engn, ITU Maslak Campus, TR-34469 Maslak, Istanbul, Turkiye; [Kirkil, Gokhan] Kadir Has Univ, Fac Engn & Nat Sci, TR-34083 Istanbul, Turkiye | en_US |
| gdc.description.issue | 6 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q2 | |
| gdc.description.startpage | 1372 | |
| gdc.description.volume | 18 | en_US |
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| gdc.oaire.keywords | Technology | |
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| gdc.oaire.keywords | wind energy | |
| gdc.oaire.keywords | large eddy simulation | |
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| gdc.virtual.author | Kirkil, Gökhan | |
| gdc.virtual.author | Ergün Umuroğlu, Reyda | |
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