Modelling wind farm effects in HARMONIE–AROME (cycle 43.2.2) – Part 1: Implementation and evaluation
<p>With increasing number and proximity of wind farms, it becomes crucial to consider wind farm effects (WFEs) in the numerical weather prediction (NWP) models used to forecast power production. Furthermore, these WFEs are also expected to affect other weather-related parameters at least local...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2024-04-01
|
| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/17/2855/2024/gmd-17-2855-2024.pdf |
| _version_ | 1797205822607982592 |
|---|---|
| author | J. Fischereit H. Vedel X. G. Larsén N. E. Theeuwes G. Giebel E. Kaas |
| author_facet | J. Fischereit H. Vedel X. G. Larsén N. E. Theeuwes G. Giebel E. Kaas |
| author_sort | J. Fischereit |
| collection | DOAJ |
| description | <p>With increasing number and proximity of wind farms, it becomes crucial to consider wind farm effects (WFEs) in the numerical weather prediction (NWP) models used to forecast power production. Furthermore, these WFEs are also expected to affect other weather-related parameters at least locally. Thus, we implement the explicit wake parameterization (EWP) in the NWP model HARMONIE–AROME (hereafter HARMONIE) along-side the existing wind farm parameterization (WFP) by <span class="cit" id="xref_text.1"><a href="#bib1.bibx21">Fitch et al.</a> (<a href="#bib1.bibx21">2012</a>)</span> (FITCH). We evaluate and compare the two WFPs against research flight measurements as well as against similar simulations performed with the Weather Research and Forecasting (WRF) model using case studies. The case studies include a case for WFEs above a wind farm as well as two cases for WFEs at hub height in the wake of farms. The results show that EWP and FITCH have been correctly implemented in HARMONIE. For the simulated cases, EWP underestimates the WFEs on wind speed and strongly underestimates the effect on turbulent kinetic energy (TKE). FITCH agrees better with the observations, and WFEs on TKE are particularly well captured by HARMONIE–FITCH. After this successful evaluation, simulations with all wind turbines in Europe will be performed with HARMONIE and presented in the second part of this paper series.</p> |
| first_indexed | 2024-04-24T08:57:14Z |
| format | Article |
| id | doaj.art-1e675b1b5f284a358434265dc083c912 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-04-24T08:57:14Z |
| publishDate | 2024-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-1e675b1b5f284a358434265dc083c9122024-04-16T05:52:11ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032024-04-01172855287510.5194/gmd-17-2855-2024Modelling wind farm effects in HARMONIE–AROME (cycle 43.2.2) – Part 1: Implementation and evaluationJ. Fischereit0H. Vedel1X. G. Larsén2N. E. Theeuwes3G. Giebel4E. Kaas5DTU Wind and Energy Systems, Frederiksborgvej 399, 4000 Roskilde, DenmarkDanish Meteorological Institute (DMI), Sankt Kjelds Plads 11, 2100 Copenhagen Ø, DenmarkDTU Wind and Energy Systems, Frederiksborgvej 399, 4000 Roskilde, DenmarkRoyal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the NetherlandsDTU Wind and Energy Systems, Frederiksborgvej 399, 4000 Roskilde, DenmarkDanish Meteorological Institute (DMI), Sankt Kjelds Plads 11, 2100 Copenhagen Ø, Denmark<p>With increasing number and proximity of wind farms, it becomes crucial to consider wind farm effects (WFEs) in the numerical weather prediction (NWP) models used to forecast power production. Furthermore, these WFEs are also expected to affect other weather-related parameters at least locally. Thus, we implement the explicit wake parameterization (EWP) in the NWP model HARMONIE–AROME (hereafter HARMONIE) along-side the existing wind farm parameterization (WFP) by <span class="cit" id="xref_text.1"><a href="#bib1.bibx21">Fitch et al.</a> (<a href="#bib1.bibx21">2012</a>)</span> (FITCH). We evaluate and compare the two WFPs against research flight measurements as well as against similar simulations performed with the Weather Research and Forecasting (WRF) model using case studies. The case studies include a case for WFEs above a wind farm as well as two cases for WFEs at hub height in the wake of farms. The results show that EWP and FITCH have been correctly implemented in HARMONIE. For the simulated cases, EWP underestimates the WFEs on wind speed and strongly underestimates the effect on turbulent kinetic energy (TKE). FITCH agrees better with the observations, and WFEs on TKE are particularly well captured by HARMONIE–FITCH. After this successful evaluation, simulations with all wind turbines in Europe will be performed with HARMONIE and presented in the second part of this paper series.</p>https://gmd.copernicus.org/articles/17/2855/2024/gmd-17-2855-2024.pdf |
| spellingShingle | J. Fischereit H. Vedel X. G. Larsén N. E. Theeuwes G. Giebel E. Kaas Modelling wind farm effects in HARMONIE–AROME (cycle 43.2.2) – Part 1: Implementation and evaluation Geoscientific Model Development |
| title | Modelling wind farm effects in HARMONIE–AROME (cycle 43.2.2) – Part 1: Implementation and evaluation |
| title_full | Modelling wind farm effects in HARMONIE–AROME (cycle 43.2.2) – Part 1: Implementation and evaluation |
| title_fullStr | Modelling wind farm effects in HARMONIE–AROME (cycle 43.2.2) – Part 1: Implementation and evaluation |
| title_full_unstemmed | Modelling wind farm effects in HARMONIE–AROME (cycle 43.2.2) – Part 1: Implementation and evaluation |
| title_short | Modelling wind farm effects in HARMONIE–AROME (cycle 43.2.2) – Part 1: Implementation and evaluation |
| title_sort | modelling wind farm effects in harmonie arome cycle 43 2 2 part 1 implementation and evaluation |
| url | https://gmd.copernicus.org/articles/17/2855/2024/gmd-17-2855-2024.pdf |
| work_keys_str_mv | AT jfischereit modellingwindfarmeffectsinharmoniearomecycle4322part1implementationandevaluation AT hvedel modellingwindfarmeffectsinharmoniearomecycle4322part1implementationandevaluation AT xglarsen modellingwindfarmeffectsinharmoniearomecycle4322part1implementationandevaluation AT netheeuwes modellingwindfarmeffectsinharmoniearomecycle4322part1implementationandevaluation AT ggiebel modellingwindfarmeffectsinharmoniearomecycle4322part1implementationandevaluation AT ekaas modellingwindfarmeffectsinharmoniearomecycle4322part1implementationandevaluation |