Imperial College London
Alternate

DrIainStaffell

Faculty of Natural Sciences, Centre for Environmental Policy

Senior Lecturer in Sustainable Energy
 
 
 
//

Contact

 

+44 (0)20 7594 9570i.staffell

 
 
//

Location

 

202Weeks BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Saint-Drenan:2020:10.1016/j.renene.2020.04.123,
author = {Saint-Drenan, Y-M and Besseau, R and Jansen, M and Staffell, I and Troccoli, A and Dubus, L and Schmidt, J and Gruber, K and Simões, SG and Heier, S},
doi = {10.1016/j.renene.2020.04.123},
journal = {Renewable Energy},
pages = {754--768},
title = {A parametric model for wind turbine power curves incorporating environmental conditions},
url = {http://dx.doi.org/10.1016/j.renene.2020.04.123},
volume = {157},
year = {2020}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A wind turbine’s power curve relates its power production to the wind speed it experiences. The typical shape of a power curve is well known and has been studied extensively. However, power curves of individual turbine models can vary widely from one another. This is due to both the technical features of the turbine (power density, cut-in and cut-out speeds, limits on rotational speed and aerodynamic efficiency), and environmental factors (turbulence intensity, air density, wind shear and wind veer). Data on individual power curves are often proprietary and only available through commercial databases. We therefore develop an open-source model for pitch regulated horizontal axis wind turbine which can generate the power curve of any turbine, adapted to the specific conditions of any site. This can employ one of six parametric models advanced in the literature, and accounts for the eleven variables mentioned above. The model is described, the impact of each technical and environmental feature is examined, and it is then validated against the manufacturer power curves of 91 turbine models. Versions of the model are made available in MATLAB, R and Python code for the community.
AU  - Saint-Drenan,Y-M
AU  - Besseau,R
AU  - Jansen,M
AU  - Staffell,I
AU  - Troccoli,A
AU  - Dubus,L
AU  - Schmidt,J
AU  - Gruber,K
AU  - Simões,SG
AU  - Heier,S
DO  - 10.1016/j.renene.2020.04.123
EP  - 768
PY  - 2020///
SN  - 0960-1481
SP  - 754
TI  - A parametric model for wind turbine power curves incorporating environmental conditions
T2  - Renewable Energy
UR  - http://dx.doi.org/10.1016/j.renene.2020.04.123
UR  - https://www.sciencedirect.com/science/article/pii/S0960148120306613?via%3Dihub
VL  - 157
ER  -
Download