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The LEANWIND suite of logistics optimisation and full lifecycle simulation models for offshore wind farms

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The LEANWIND suite of logistics optimisation and full lifecycle simulation models for offshore wind farms. / Devoy McAuliffe, Fiona; Lynch, Katie; Sperstad, Iver; Nonås, Lars; Halvorsen-Weare, Elin; Jones, Dylan; Akbari, Negar; Wall, Graham; Irawan, Chandra; Norstad, I; Stålhane, Magnus; Murphy, Jimmy.

In: Journal of Physics: Conference Series, Vol. 1104, 012002, 06.11.2018.

Research output: Contribution to journalArticle

Harvard

Devoy McAuliffe, F, Lynch, K, Sperstad, I, Nonås, L, Halvorsen-Weare, E, Jones, D, Akbari, N, Wall, G, Irawan, C, Norstad, I, Stålhane, M & Murphy, J 2018, 'The LEANWIND suite of logistics optimisation and full lifecycle simulation models for offshore wind farms', Journal of Physics: Conference Series, vol. 1104, 012002. https://doi.org/10.1088/1742-6596/1104/1/012002

APA

Devoy McAuliffe, F., Lynch, K., Sperstad, I., Nonås, L., Halvorsen-Weare, E., Jones, D., Akbari, N., Wall, G., Irawan, C., Norstad, I., Stålhane, M., & Murphy, J. (2018). The LEANWIND suite of logistics optimisation and full lifecycle simulation models for offshore wind farms. Journal of Physics: Conference Series, 1104, [012002]. https://doi.org/10.1088/1742-6596/1104/1/012002

Vancouver

Devoy McAuliffe F, Lynch K, Sperstad I, Nonås L, Halvorsen-Weare E, Jones D et al. The LEANWIND suite of logistics optimisation and full lifecycle simulation models for offshore wind farms. Journal of Physics: Conference Series. 2018 Nov 6;1104. 012002. https://doi.org/10.1088/1742-6596/1104/1/012002

Author

Devoy McAuliffe, Fiona ; Lynch, Katie ; Sperstad, Iver ; Nonås, Lars ; Halvorsen-Weare, Elin ; Jones, Dylan ; Akbari, Negar ; Wall, Graham ; Irawan, Chandra ; Norstad, I ; Stålhane, Magnus ; Murphy, Jimmy. / The LEANWIND suite of logistics optimisation and full lifecycle simulation models for offshore wind farms. In: Journal of Physics: Conference Series. 2018 ; Vol. 1104.

Bibtex

@article{3e29cf92217844e3918ce385119e51f9,
title = "The LEANWIND suite of logistics optimisation and full lifecycle simulation models for offshore wind farms",
abstract = "The offshore wind sector has achieved significant cost reductions in recent years. However, there is still work to be done to maintain and surpass these savings across current and future farms. There is increased competition to reduce costs within the industry itself. Additional challenges are foreseen at future sites located further from shore, in harsher conditions and deeper waters. Larger turbines and projects also mean new equipment, logistics and maintenance requirements. Moreover, farms are approaching the decommissioning phase where there is little experience. Modelling is a safe and cost-effective way to evaluate and optimise operations. However, there is a lack of comprehensive decision-support tools, detailed enough to provide insight into the effects of technological innovations and novel strategies. To address the gap, the EU FP7 LEANWIND project developed a suite of state-of-the-art logistics optimisation and financial simulation models. They can assess a farm scenario in detail at every stage of the project lifecycle and supply-chain, identifying potential cost reductions and more efficient strategies. This paper introduces the models including: an overview of their scope and capabilities; how they can be applied; and the potential end users.",
author = "{Devoy McAuliffe}, Fiona and Katie Lynch and Iver Sperstad and Lars Non{\aa}s and Elin Halvorsen-Weare and Dylan Jones and Negar Akbari and Graham Wall and Chandra Irawan and I Norstad and Magnus St{\aa}lhane and Jimmy Murphy",
year = "2018",
month = nov
day = "6",
doi = "10.1088/1742-6596/1104/1/012002",
language = "English",
volume = "1104",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing",
note = "15th Deep Sea Offshore Wind R&D Conference, EERA DeepWind 2018 ; Conference date: 17-01-2018 Through 19-01-2018",

}

RIS

TY - JOUR

T1 - The LEANWIND suite of logistics optimisation and full lifecycle simulation models for offshore wind farms

AU - Devoy McAuliffe, Fiona

AU - Lynch, Katie

AU - Sperstad, Iver

AU - Nonås, Lars

AU - Halvorsen-Weare, Elin

AU - Jones, Dylan

AU - Akbari, Negar

AU - Wall, Graham

AU - Irawan, Chandra

AU - Norstad, I

AU - Stålhane, Magnus

AU - Murphy, Jimmy

PY - 2018/11/6

Y1 - 2018/11/6

N2 - The offshore wind sector has achieved significant cost reductions in recent years. However, there is still work to be done to maintain and surpass these savings across current and future farms. There is increased competition to reduce costs within the industry itself. Additional challenges are foreseen at future sites located further from shore, in harsher conditions and deeper waters. Larger turbines and projects also mean new equipment, logistics and maintenance requirements. Moreover, farms are approaching the decommissioning phase where there is little experience. Modelling is a safe and cost-effective way to evaluate and optimise operations. However, there is a lack of comprehensive decision-support tools, detailed enough to provide insight into the effects of technological innovations and novel strategies. To address the gap, the EU FP7 LEANWIND project developed a suite of state-of-the-art logistics optimisation and financial simulation models. They can assess a farm scenario in detail at every stage of the project lifecycle and supply-chain, identifying potential cost reductions and more efficient strategies. This paper introduces the models including: an overview of their scope and capabilities; how they can be applied; and the potential end users.

AB - The offshore wind sector has achieved significant cost reductions in recent years. However, there is still work to be done to maintain and surpass these savings across current and future farms. There is increased competition to reduce costs within the industry itself. Additional challenges are foreseen at future sites located further from shore, in harsher conditions and deeper waters. Larger turbines and projects also mean new equipment, logistics and maintenance requirements. Moreover, farms are approaching the decommissioning phase where there is little experience. Modelling is a safe and cost-effective way to evaluate and optimise operations. However, there is a lack of comprehensive decision-support tools, detailed enough to provide insight into the effects of technological innovations and novel strategies. To address the gap, the EU FP7 LEANWIND project developed a suite of state-of-the-art logistics optimisation and financial simulation models. They can assess a farm scenario in detail at every stage of the project lifecycle and supply-chain, identifying potential cost reductions and more efficient strategies. This paper introduces the models including: an overview of their scope and capabilities; how they can be applied; and the potential end users.

U2 - 10.1088/1742-6596/1104/1/012002

DO - 10.1088/1742-6596/1104/1/012002

M3 - Article

VL - 1104

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

M1 - 012002

T2 - 15th Deep Sea Offshore Wind R&D Conference

Y2 - 17 January 2018 through 19 January 2018

ER -

ID: 11993755