Literature DB >> 34183400

Spatial constraints in large-scale expansion of wind power plants.

Enrico G A Antonini1, Ken Caldeira2.   

Abstract

When wind turbines are arranged in clusters, their performance is mutually affected, and their energy generation is reduced relative to what it would be if they were widely separated. Land-area power densities of small wind farms can exceed 10 W/m2, and wakes are several rotor diameters in length. In contrast, large-scale wind farms have an upper-limit power density in the order of 1 W/m2 and wakes that can extend several tens of kilometers. Here, we address two important questions: 1) How large can a wind farm be before its generation reaches energy replenishment limits and 2) How far apart must large wind farms be spaced to avoid inter-wind-farm interference? We characterize controls on these spatial and temporal scales by running a set of idealized atmospheric simulations using the Weather and Research Forecasting model. Power generation and wind speed within and over the wind farm show that a timescale inversely proportional to the Coriolis parameter governs such transition, and the corresponding length scale is obtained by multiplying the timescale by the geostrophic wind speed. A geostrophic wind of 8 m/s and a Coriolis parameter of 1.05 × 10-4 rad/s (latitude of ∼46°) would give a transitional scale of about 30 km. Wind farms smaller than this result in greater power densities and shorter wakes. Larger wind farms result instead in power densities that asymptotically reach their minimum and wakes that reach their maximum extent.

Entities:  

Keywords:  geophysical limits; spatial scales; wind energy; wind farm–atmosphere interaction

Year:  2021        PMID: 34183400      PMCID: PMC8271749          DOI: 10.1073/pnas.2103875118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  6 in total

1.  Two methods for estimating limits to large-scale wind power generation.

Authors:  Lee M Miller; Nathaniel A Brunsell; David B Mechem; Fabian Gans; Andrew J Monaghan; Robert Vautard; David W Keith; Axel Kleidon
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-24       Impact factor: 11.205

2.  Turbulence and entrainment length scales in large wind farms.

Authors:  Søren J Andersen; Jens N Sørensen; Robert F Mikkelsen
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-04-13       Impact factor: 4.226

3.  Regional climate model simulations indicate limited climatic impacts by operational and planned European wind farms.

Authors:  Robert Vautard; Françoise Thais; Isabelle Tobin; François-Marie Bréon; Jean-Guy Devezeaux de Lavergne; Augustin Colette; Pascal Yiou; Paolo Michele Ruti
Journal:  Nat Commun       Date:  2014       Impact factor: 14.919

Review 4.  Grand challenges in the science of wind energy.

Authors:  Paul Veers; Katherine Dykes; Eric Lantz; Stephan Barth; Carlo L Bottasso; Ola Carlson; Andrew Clifton; Johney Green; Peter Green; Hannele Holttinen; Daniel Laird; Ville Lehtomäki; Julie K Lundquist; James Manwell; Melinda Marquis; Charles Meneveau; Patrick Moriarty; Xabier Munduate; Michael Muskulus; Jonathan Naughton; Lucy Pao; Joshua Paquette; Joachim Peinke; Amy Robertson; Javier Sanz Rodrigo; Anna Maria Sempreviva; J Charles Smith; Aidan Tuohy; Ryan Wiser
Journal:  Science       Date:  2019-10-10       Impact factor: 47.728

5.  Wind-Turbine and Wind-Farm Flows: A Review.

Authors:  Fernando Porté-Agel; Majid Bastankhah; Sina Shamsoddin
Journal:  Boundary Layer Meteorol       Date:  2019-09-20       Impact factor: 2.949

6.  First in situ evidence of wakes in the far field behind offshore wind farms.

Authors:  Andreas Platis; Simon K Siedersleben; Jens Bange; Astrid Lampert; Konrad Bärfuss; Rudolf Hankers; Beatriz Cañadillas; Richard Foreman; Johannes Schulz-Stellenfleth; Bughsin Djath; Thomas Neumann; Stefan Emeis
Journal:  Sci Rep       Date:  2018-02-01       Impact factor: 4.379

  6 in total
  1 in total

1.  The quantity-quality transition in the value of expanding wind and solar power generation.

Authors:  Enrico G A Antonini; Tyler H Ruggles; David J Farnham; Ken Caldeira
Journal:  iScience       Date:  2022-03-22
  1 in total

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