Mesoscale to microscale wind farm flow modeling and evaluation

Javier Sanz Rodrigo, Roberto Aurelio Chávez Arroyo, Patrick Moriarty, Matthew Churchfield, Branko Kosović, Pierre-Elouan Réthoré, Kurt Schaldemose Hansen, Andrea N. Hahmann, Jeffrey D. Mirocha, Daran Rife

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The increasing size of wind turbines, with rotors already spanning more than 150m diameter and hub heights above 100m, requires proper modeling of the atmospheric boundary layer (ABL) from the surface to the free atmosphere. Furthermore, large wind farm arrays create their own boundary layer structure with unique physics. This poses significant challenges to traditional wind engineering models that rely on surface-layer theories and engineering wind farm models to simulate the flow in and around wind farms. However, adopting an ABL approach offers the opportunity to better integrate wind farm design tools and meteorological models. The challenge is how to build the bridge between atmospheric and wind engineering model communities and how to establish a comprehensive evaluation process that identifies relevant physical phenomena for wind energy applications with modeling and experimental requirements. A framework for model verification, validation, and uncertainty quantification is established to guide this process by a systematic evaluation of the modeling system at increasing levels of complexity. In terms of atmospheric physics, 'building the bridge' means developing models for the so-called 'terra incognita,' a term used to designate the turbulent scales that transition from mesoscale to microscale. This range of scales within atmospheric research deals with the transition from parameterized to resolved turbulence and the improvement of surface boundary-layer parameterizations. The coupling of meteorological and wind engineering flow models and the definition of a formal model evaluation methodology, is a strong area of research for the next generation of wind conditions assessment and wind farm and wind turbine design tools. Some fundamental challenges are identified in order to guide future research in this area.
Original languageEnglish
Article numbere214
JournalWiley Interdisciplinary Reviews: Energy and Environment
Volume6
Issue number2
Number of pages30
ISSN2041-8396
DOIs
Publication statusPublished - 2017

Cite this

Sanz Rodrigo, J., Chávez Arroyo, R. A., Moriarty, P., Churchfield, M., Kosović, B., Réthoré, P-E., ... Rife, D. (2017). Mesoscale to microscale wind farm flow modeling and evaluation. Wiley Interdisciplinary Reviews: Energy and Environment, 6(2), [e214]. https://doi.org/10.1002/wene.214
Sanz Rodrigo, Javier ; Chávez Arroyo, Roberto Aurelio ; Moriarty, Patrick ; Churchfield, Matthew ; Kosović, Branko ; Réthoré, Pierre-Elouan ; Hansen, Kurt Schaldemose ; Hahmann, Andrea N. ; Mirocha, Jeffrey D. ; Rife, Daran. / Mesoscale to microscale wind farm flow modeling and evaluation. In: Wiley Interdisciplinary Reviews: Energy and Environment. 2017 ; Vol. 6, No. 2.
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Sanz Rodrigo, J, Chávez Arroyo, RA, Moriarty, P, Churchfield, M, Kosović, B, Réthoré, P-E, Hansen, KS, Hahmann, AN, Mirocha, JD & Rife, D 2017, 'Mesoscale to microscale wind farm flow modeling and evaluation', Wiley Interdisciplinary Reviews: Energy and Environment, vol. 6, no. 2, e214. https://doi.org/10.1002/wene.214

Mesoscale to microscale wind farm flow modeling and evaluation. / Sanz Rodrigo, Javier; Chávez Arroyo, Roberto Aurelio; Moriarty, Patrick; Churchfield, Matthew; Kosović, Branko; Réthoré, Pierre-Elouan; Hansen, Kurt Schaldemose; Hahmann, Andrea N.; Mirocha, Jeffrey D.; Rife, Daran.

In: Wiley Interdisciplinary Reviews: Energy and Environment, Vol. 6, No. 2, e214, 2017.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Mesoscale to microscale wind farm flow modeling and evaluation

AU - Sanz Rodrigo, Javier

AU - Chávez Arroyo, Roberto Aurelio

AU - Moriarty, Patrick

AU - Churchfield, Matthew

AU - Kosović, Branko

AU - Réthoré, Pierre-Elouan

AU - Hansen, Kurt Schaldemose

AU - Hahmann, Andrea N.

AU - Mirocha, Jeffrey D.

AU - Rife, Daran

PY - 2017

Y1 - 2017

N2 - The increasing size of wind turbines, with rotors already spanning more than 150m diameter and hub heights above 100m, requires proper modeling of the atmospheric boundary layer (ABL) from the surface to the free atmosphere. Furthermore, large wind farm arrays create their own boundary layer structure with unique physics. This poses significant challenges to traditional wind engineering models that rely on surface-layer theories and engineering wind farm models to simulate the flow in and around wind farms. However, adopting an ABL approach offers the opportunity to better integrate wind farm design tools and meteorological models. The challenge is how to build the bridge between atmospheric and wind engineering model communities and how to establish a comprehensive evaluation process that identifies relevant physical phenomena for wind energy applications with modeling and experimental requirements. A framework for model verification, validation, and uncertainty quantification is established to guide this process by a systematic evaluation of the modeling system at increasing levels of complexity. In terms of atmospheric physics, 'building the bridge' means developing models for the so-called 'terra incognita,' a term used to designate the turbulent scales that transition from mesoscale to microscale. This range of scales within atmospheric research deals with the transition from parameterized to resolved turbulence and the improvement of surface boundary-layer parameterizations. The coupling of meteorological and wind engineering flow models and the definition of a formal model evaluation methodology, is a strong area of research for the next generation of wind conditions assessment and wind farm and wind turbine design tools. Some fundamental challenges are identified in order to guide future research in this area.

AB - The increasing size of wind turbines, with rotors already spanning more than 150m diameter and hub heights above 100m, requires proper modeling of the atmospheric boundary layer (ABL) from the surface to the free atmosphere. Furthermore, large wind farm arrays create their own boundary layer structure with unique physics. This poses significant challenges to traditional wind engineering models that rely on surface-layer theories and engineering wind farm models to simulate the flow in and around wind farms. However, adopting an ABL approach offers the opportunity to better integrate wind farm design tools and meteorological models. The challenge is how to build the bridge between atmospheric and wind engineering model communities and how to establish a comprehensive evaluation process that identifies relevant physical phenomena for wind energy applications with modeling and experimental requirements. A framework for model verification, validation, and uncertainty quantification is established to guide this process by a systematic evaluation of the modeling system at increasing levels of complexity. In terms of atmospheric physics, 'building the bridge' means developing models for the so-called 'terra incognita,' a term used to designate the turbulent scales that transition from mesoscale to microscale. This range of scales within atmospheric research deals with the transition from parameterized to resolved turbulence and the improvement of surface boundary-layer parameterizations. The coupling of meteorological and wind engineering flow models and the definition of a formal model evaluation methodology, is a strong area of research for the next generation of wind conditions assessment and wind farm and wind turbine design tools. Some fundamental challenges are identified in order to guide future research in this area.

U2 - 10.1002/wene.214

DO - 10.1002/wene.214

M3 - Journal article

VL - 6

JO - Wiley Interdisciplinary Reviews: Energy and Environment

JF - Wiley Interdisciplinary Reviews: Energy and Environment

SN - 2041-8396

IS - 2

M1 - e214

ER -