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Wind Speed Prediction Models and Their Use in Wind Turbine Control

Mattachini, Paolo (2013) In ISSN 0280-5316
Department of Automatic Control
Abstract
Wind energy production is a section that became bigger and bigger thanks to the interests in finding new ways to produce energy that do not involve fossil fuels because of environment concerns, because of their costs and because of their limited amount. Even though wind energy was exploited also in the past, for example in wind mills, it is with wind turbines that all the problems affecting these systems started to be taken into account and to be studied deeply. Rising sizes, flexible materials used, aerodynamics, unfriendly environments, wind variability are some of the challenges to face in order to improve efficiency and extend the life and reliability of these systems. It is in this wide and various context that
wind prediction models... (More)
Wind energy production is a section that became bigger and bigger thanks to the interests in finding new ways to produce energy that do not involve fossil fuels because of environment concerns, because of their costs and because of their limited amount. Even though wind energy was exploited also in the past, for example in wind mills, it is with wind turbines that all the problems affecting these systems started to be taken into account and to be studied deeply. Rising sizes, flexible materials used, aerodynamics, unfriendly environments, wind variability are some of the challenges to face in order to improve efficiency and extend the life and reliability of these systems. It is in this wide and various context that
wind prediction models are needed to understand and to know in advance, in a wind farm, how wind will change and which effects it will have on a turbine and the following ones. In this work an approach to forecast the wind at downwind positions, using upwind turbines as sensors, is proposed. The work is based on real data from Thanet Wind Farm provided by Vestas Wind Systems A/S. The models found are relevant only for the sequences taken into account but they show the possibility to exploit existing turbines as wind sensors and open the way for further development of this work. This argument appear to be (to my knowledge) new, since in literature almost no references were found. (Less)
Please use this url to cite or link to this publication:
author
Mattachini, Paolo
supervisor
organization
year
type
H3 - Professional qualifications (4 Years - )
subject
publication/series
ISSN 0280-5316
other publication id
ISRN LUTFD2/TFRT--5909--SE
language
English
additional info
month=january
id
3430785
date added to LUP
2013-02-01 12:00:37
date last changed
2013-02-01 12:00:37
@misc{3430785,
  abstract     = {Wind energy production is a section that became bigger and bigger thanks to the interests in finding new ways to produce energy that do not involve fossil fuels because of environment concerns, because of their costs and because of their limited amount. Even though wind energy was exploited also in the past, for example in wind mills, it is with wind turbines that all the problems affecting these systems started to be taken into account and to be studied deeply. Rising sizes, flexible materials used, aerodynamics, unfriendly environments, wind variability are some of the challenges to face in order to improve efficiency and extend the life and reliability of these systems. It is in this wide and various context that
wind prediction models are needed to understand and to know in advance, in a wind farm, how wind will change and which effects it will have on a turbine and the following ones. In this work an approach to forecast the wind at downwind positions, using upwind turbines as sensors, is proposed. The work is based on real data from Thanet Wind Farm provided by Vestas Wind Systems A/S. The models found are relevant only for the sequences taken into account but they show the possibility to exploit existing turbines as wind sensors and open the way for further development of this work. This argument appear to be (to my knowledge) new, since in literature almost no references were found.},
  author       = {Mattachini, Paolo},
  language     = {eng},
  note         = {Student Paper},
  series       = {ISSN 0280-5316},
  title        = {Wind Speed Prediction Models and Their Use in Wind Turbine Control},
  year         = {2013},
}