Evidence map›Paper›PMID 31052216›Full record

ArticleSensors (Basel, Switzerland)2019

Alternative Calibration of Cup Anemometers: A Way to Reduce the Uncertainty of Wind Power Density Estimation.

Francisca Guerrero-Villar, Rubén Dorado-Vicente, Gustavo Medina-Sánchez, Eloísa Torres-Jiménez

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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. 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

4 authors.

Francisca Guerrero-VillarDepartment of Mechanical and Mining Engineering; Universidad de Jaén, 23071 Jaén, Spain. mgvillar@ujaen.es.
Rubén Dorado-VicenteDepartment of Mechanical and Mining Engineering; Universidad de Jaén, 23071 Jaén, Spain. rdorado@ujaen.es.ORCID 0000-0003-1979-7489
Gustavo Medina-SánchezDepartment of Mechanical and Mining Engineering; Universidad de Jaén, 23071 Jaén, Spain. gmedina@ujaen.es.ORCID 0000-0003-4925-2818
Eloísa Torres-JiménezDepartment of Mechanical and Mining Engineering; Universidad de Jaén, 23071 Jaén, Spain. etorres@ujaen.com.ORCID 0000-0002-9689-1746

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a procedure to reduce the uncertainty of wind power density estimations, which is useful to improve the energy production predictions of wind farms. Power density is usually determined from the wind speed measured by a cup anemometer and the air density value (conventional procedure). An alternative procedure based on wind speed and dynamic pressure estimations provided by a cup anemometer is proposed. The dynamic pressure is obtained by means of a calibration curve that relates the anemometer rotation frequency and the dynamic pressure measured by a Pitot tube. The quadratic regression, used to define the calibration curve, and its uncertainty are both detailed. A comparison between the alternative procedure and the conventional one points out the advantage of the proposed alternative since results show a high reduction of the indirect measurement uncertainty of wind power density.

Indexed as

anemometer calibrationcup anemometerpitot tubequadratic regression uncertaintywind dynamic pressurewind power densitywind speed sensorwind tunnel

Identifiers

PMID31052216
PMCPMC6539519

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.