The Global Atlas for Siting Parameters project: Extreme wind, turbulence, and turbine classes
Summary The Global Atlas for Siting Parameters project compiles a suite of models into a complex modeling system, uses up‐to‐date global datasets, and creates global atlases of siting parameters at a spatial resolution of 275 m. These parameters include the 50‐year wind, turbulence, and turbine clas...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-11-01
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| Series: | Wind Energy |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/we.2771 |
| _version_ | 1811194684766158848 |
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| author | Xiaoli Guo Larsén Neil Davis Ásta Hannesdóttir Mark Kelly Lasse Svenningsen René Slot Marc Imberger Bjarke Tobias Olsen Rogier Floors |
| author_facet | Xiaoli Guo Larsén Neil Davis Ásta Hannesdóttir Mark Kelly Lasse Svenningsen René Slot Marc Imberger Bjarke Tobias Olsen Rogier Floors |
| author_sort | Xiaoli Guo Larsén |
| collection | DOAJ |
| description | Summary The Global Atlas for Siting Parameters project compiles a suite of models into a complex modeling system, uses up‐to‐date global datasets, and creates global atlases of siting parameters at a spatial resolution of 275 m. These parameters include the 50‐year wind, turbulence, and turbine class recommendations based on relevant generic turbines. The suite of models includes the microscale Linear Computational Model (LINCOM), a statistical, spectral correction method here revised for strong convective areas and tropical cyclone affected areas, two turbulence models with four setups, and load models. To this complexity, an uncertainty model was developed to classify the various sources of uncertainties for both the extreme wind and the turbulence calculations, and accordingly, atlases of uncertainty classification were created. Preliminary validation of the global calculations of the 50‐year wind and turbulence is done through comparisons with measurements, and the results are promising. This is the first time the siting parameters are obtained with such a high spatial resolution and shared on open data portal. It is expected to benefit the global wind energy planning and development. |
| first_indexed | 2024-04-12T00:30:49Z |
| format | Article |
| id | doaj.art-55caa2b437e2403f8fb95508ef07126e |
| institution | Directory Open Access Journal |
| issn | 1095-4244 1099-1824 |
| language | English |
| last_indexed | 2024-04-12T00:30:49Z |
| publishDate | 2022-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | Wind Energy |
| spelling | doaj.art-55caa2b437e2403f8fb95508ef07126e2022-12-22T03:55:20ZengWileyWind Energy1095-42441099-18242022-11-0125111841185910.1002/we.2771The Global Atlas for Siting Parameters project: Extreme wind, turbulence, and turbine classesXiaoli Guo Larsén0Neil Davis1Ásta Hannesdóttir2Mark Kelly3Lasse Svenningsen4René Slot5Marc Imberger6Bjarke Tobias Olsen7Rogier Floors8Wind Energy Department Technical University of Denmark Risø Campus Roskilde DenmarkWind Energy Department Technical University of Denmark Risø Campus Roskilde DenmarkWind Energy Department Technical University of Denmark Risø Campus Roskilde DenmarkWind Energy Department Technical University of Denmark Risø Campus Roskilde DenmarkEMD International A/S Aalborg DenmarkEMD International A/S Aalborg DenmarkWind Energy Department Technical University of Denmark Risø Campus Roskilde DenmarkWind Energy Department Technical University of Denmark Risø Campus Roskilde DenmarkWind Energy Department Technical University of Denmark Risø Campus Roskilde DenmarkSummary The Global Atlas for Siting Parameters project compiles a suite of models into a complex modeling system, uses up‐to‐date global datasets, and creates global atlases of siting parameters at a spatial resolution of 275 m. These parameters include the 50‐year wind, turbulence, and turbine class recommendations based on relevant generic turbines. The suite of models includes the microscale Linear Computational Model (LINCOM), a statistical, spectral correction method here revised for strong convective areas and tropical cyclone affected areas, two turbulence models with four setups, and load models. To this complexity, an uncertainty model was developed to classify the various sources of uncertainties for both the extreme wind and the turbulence calculations, and accordingly, atlases of uncertainty classification were created. Preliminary validation of the global calculations of the 50‐year wind and turbulence is done through comparisons with measurements, and the results are promising. This is the first time the siting parameters are obtained with such a high spatial resolution and shared on open data portal. It is expected to benefit the global wind energy planning and development.https://doi.org/10.1002/we.2771extreme windglobal atlasturbine class recommendationturbulence |
| spellingShingle | Xiaoli Guo Larsén Neil Davis Ásta Hannesdóttir Mark Kelly Lasse Svenningsen René Slot Marc Imberger Bjarke Tobias Olsen Rogier Floors The Global Atlas for Siting Parameters project: Extreme wind, turbulence, and turbine classes Wind Energy extreme wind global atlas turbine class recommendation turbulence |
| title | The Global Atlas for Siting Parameters project: Extreme wind, turbulence, and turbine classes |
| title_full | The Global Atlas for Siting Parameters project: Extreme wind, turbulence, and turbine classes |
| title_fullStr | The Global Atlas for Siting Parameters project: Extreme wind, turbulence, and turbine classes |
| title_full_unstemmed | The Global Atlas for Siting Parameters project: Extreme wind, turbulence, and turbine classes |
| title_short | The Global Atlas for Siting Parameters project: Extreme wind, turbulence, and turbine classes |
| title_sort | global atlas for siting parameters project extreme wind turbulence and turbine classes |
| topic | extreme wind global atlas turbine class recommendation turbulence |
| url | https://doi.org/10.1002/we.2771 |
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