Evidence map›Paper›PMID 28265021›Full record

ReviewPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2017

A survey of modelling methods for high-fidelity wind farm simulations using large eddy simulation.

S-P Breton, J Sumner, J N Sørensen, K S Hansen, S Sarmast, S Ivanell

Abstract readReview
In one paragraph

Review in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Introduction Wind farms in complex terrains: an introduction.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

S-P BretonUppsala University, Wind Energy Section, Campus Gotland, Sweden simon.philippe.breton@geo.uu.se.ORCID http://orcid.org/0000-0003-2461-6814
J SumnerDawson College, Physics Department, Montréal, Canada.
J N SørensenDTU Wind Energy, Lyngby, Denmark.
K S HansenDTU Wind Energy, Lyngby, Denmark.
S SarmastUppsala University, Wind Energy Section, Campus Gotland, Sweden.
S IvanellUppsala University, Wind Energy Section, Campus Gotland, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large eddy simulations (LES) of wind farms have the capability to provide valuable and detailed information about the dynamics of wind turbine wakes. For this reason, their use within the wind energy research community is on the rise, spurring the development of new models and methods. This review surveys the most common schemes available to model the rotor, atmospheric conditions and terrain effects within current state-of-the-art LES codes, of which an overview is provided. A summary of the experimental research data available for validation of LES codes within the context of single and multiple wake situations is also supplied. Some typical results for wind turbine and wind farm flows are presented to illustrate best practices for carrying out high-fidelity LES of wind farms under various atmospheric and terrain conditions.This article is part of the themed issue 'Wind energy in complex terrains'.

Indexed as

atmospheric modellingcomplex terrainlarge eddy simulationrotor modellingwind farm wakeswind turbine wakes

Identifiers

PMID28265021
PMCPMC5346217

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.