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.
| Language | English |
|---|---|
| Title of host publication | 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) |
| Place of Publication | Piscataway. NJ. |
| Publisher | IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Print) | 9781479935611 |
| DOIs | |
| Publication status | Published - Nov 2014 |
| Event | 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 - Durham, United Kingdom Duration: 7 Jul 2014 → 10 Jul 2014 https://www.dur.ac.uk/dei/events/pmaps2014/ |
Conference
| Conference | 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 |
|---|---|
| Abbreviated title | PMAPS 2014 |
| Country | United Kingdom |
| City | Durham |
| Period | 7/07/14 → 10/07/14 |
| Internet address |
Fingerprint
Keywords
- ARMA
- fuzzy logic
- helicopter operations
- markov chain
- statistical forecasting
- wavelets
- wind turbine
Cite this
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Statistical forecasting for offshore wind helicopter operations. / Domínguez-Navarro, José Antonio; Dinwoodie, Iain; McMillan, David.
2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Piscataway. NJ. : IEEE, 2014. p. 1-6 6960636.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Statistical forecasting for offshore wind helicopter operations
AU - Domínguez-Navarro, José Antonio
AU - Dinwoodie, Iain
AU - McMillan, David
PY - 2014/11
Y1 - 2014/11
N2 - 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.
AB - 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.
KW - ARMA
KW - fuzzy logic
KW - helicopter operations
KW - markov chain
KW - statistical forecasting
KW - wavelets
KW - wind turbine
UR - http://www.scopus.com/inward/record.url?scp=84915818880&partnerID=8YFLogxK
UR - https://www.dur.ac.uk/dei/events/pmaps2014/
UR - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6937463
U2 - 10.1109/PMAPS.2014.6960636
DO - 10.1109/PMAPS.2014.6960636
M3 - Conference contribution book
SN - 9781479935611
SP - 1
EP - 6
BT - 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
PB - IEEE
CY - Piscataway. NJ.
ER -