DocumentCode :
157612
Title :
Statistical forecasting for offshore wind helicopter operations
Author :
Dominguez-Navarro, Jose Antonio ; Dinwoodie, Iain ; McMillan, David
Author_Institution :
Univ. of Zaragoza, Zaragoza, Spain
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
The influence of the wind and wave climate on offshore wind operations and maintenance is well known. These environmental factors dictate to a large extent whether turbine crew transfer (carried out by small vessels) or major lifting actions (carried out by large vessels) can be executed at sea. However the role of helicopter operations has received much less attention. In this paper the authors explore the helicopter access problem via statistical forecasting and implement a model innovation, by including cloud base as a key access metric. By understanding the practical limits of helicopter operation, offshore wind access calculations will be much improved and reflect more closely the reality of operations at sea.
Keywords :
Markov processes; environmental factors; helicopters; offshore installations; wind power plants; wind turbines; Markov chain; environmental factors; offshore wind access calculations; offshore wind helicopter operations; statistical forecasting; wave climate; wind turbine; Data models; Forecasting; Helicopters; Measurement; Predictive models; Wind forecasting; Wind speed; ARMA; Fuzzy Logic; Helicopter Operations; Markov Chain; Statistical forecasting; Wavelets; Wind Turbine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
Conference_Location :
Durham
Type :
conf
DOI :
10.1109/PMAPS.2014.6960636
Filename :
6960636
Link To Document :
بازگشت