Statistical forecasting for offshore wind helicopter operations
McMillan, David and Dominguz Navarra, Jose and Dinwoodie, Iain Allan (2014) Statistical forecasting for offshore wind helicopter operations. In: 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014, 2014-07-07 - 2014-07-10.
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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.
Creators(s): |
McMillan, David ![]() ![]() | Item type: | Conference or Workshop Item(Paper) |
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ID code: | 47991 |
Keywords: | helicopter operations, statistical forecasting, offshore wind conditions, ARMA, Markov chain, fuzzy logic, wavelets, wind turbine, Probabilities. Mathematical statistics, Electrical engineering. Electronics Nuclear engineering, Statistics, Probability and Uncertainty, Electrical and Electronic Engineering |
Subjects: | Science > Mathematics > Probabilities. Mathematical statistics Technology > Electrical engineering. Electronics Nuclear engineering |
Department: | Faculty of Engineering > Electronic and Electrical Engineering |
Depositing user: | Pure Administrator |
Date deposited: | 12 May 2014 10:32 |
Last modified: | 23 Feb 2021 10:01 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/47991 |
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