open access publication

Article, 2024

Modelling wind farm effects in HARMONIE–AROME (cycle 43.2.2) – Part 1: Implementation and evaluation

Geoscientific Model Development, ISSN 1991-9603, 1991-959X, Volume 17, 7, Pages 2855-2875, 10.5194/gmd-17-2855-2024

Contributors

Fischereit, Jana 0000-0002-3795-5607 (Corresponding author) [1] Vedel, Henrik 0000-0001-6140-7152 [2] Larsén, Xiaoli Guo 0000-0001-8696-0720 [1] Theeuwes, Natalie E 0000-0002-9277-8551 [3] Giebel, Gregor 0000-0002-4453-8756 [1] Kaas, Eigil 0000-0001-6970-2404 [2]

Affiliations

  1. [1] DTU Wind and Energy Systems, Frederiksborgvej 399, 4000 Roskilde, Denmark
  2. [NORA names: Denmark; Europe, EU; Nordic; OECD];
  3. [2] Danish Meteorological Institute
  4. [NORA names: DMI Danish Meteorological Institute; Governmental Institutions; Denmark; Europe, EU; Nordic; OECD];
  5. [3] Royal Netherlands Meteorological Institute
  6. [NORA names: Netherlands; Europe, EU; OECD]

Abstract

Abstract. 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 Fitch et al. (2012) (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.

Keywords

Europe, Explicit Wake Parameterization, Fitch, HARMONIE-AROME, Part 1, Weather Research and Forecasting, along-side, case study, cases, effect, energy, evaluation, farm effect, farms, flight measurements, forecasting, harmony, height, hub, hub height, implementation, increasing number, kinetic energy, measurements, model, number, numerical weather prediction, numerical weather prediction model HARMONIE-AROME, observations, parameterization, parameters, parts, prediction, proximity, research, results, simulation, simulation cases, speed, study, turbine, turbulent kinetic energy, wake, wake parameterization, weather, weather prediction, weather-related parameters, wind, wind farm effects, wind farm parameterization, wind farms, wind speed, wind turbines

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