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Lars Magne Nonås

Research Manager

Lars Magne Nonås

Research Manager

Lars Magne Nonås
Phone: +47 416 52 323
Email:
Department: Energy and Transport
Office: Bergen

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/1628682/

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...

Authors Fiona Devoy McAuliffe Katie Lynch Iver Bakken Sperstad Lars Magne Nonås Elin Espeland Halvorsen-Weare Dylan Jones Negar Akbari Graham Wall Chandra Irawan Inge Norstad Magnus Stålhane Jimmy Murphy
Year 2018
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/1582025/

Operational expenditure (OPEX) is one of the major contributors to the levelized cost of energy (LCoE) for offshore wind farms. To assess different solutions and select the best ones, good models for maintenance and logistics decision support are required. This chapter provides an overview of, and a...

Authors Thomas Michael Welte Iver Bakken Sperstad Elin Espeland Halvorsen-Weare Øyvind Netland Lars Magne Nonås Magnus Stålhane
Year 2018
Type Academic chapter/article/Conference paper
Publication
https://www.sintef.no/en/publications/publication/1533274/

Maintenance operations at offshore wind farms are challenging due to the offshore element; maintenance technicians and spare parts need to be transported from an onshore port or offshore station to the individual wind farm components in need of maintenance. The vessel resources needed to support...

Authors Elin Espeland Halvorsen-Weare Inge Norstad Magnus Stålhane Lars Magne Nonås
Year 2017
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/1392503/

In this paper we consider the problem of determining the optimal fleet size and mix of vessels to support maintenance activities at offshore wind farms. A two-stage stochastic programming model is proposed where uncertainty in demand and weather conditions are taken into account. The model aims to...

Authors Magnus Stålhane Hanne Vefsnmo Elin Espeland Halvorsen-Weare Lars Magnus Hvattum Lars Magne Nonås
Year 2016
Type Academic article