Published October 1, 2019 | Version v1
Journal article

A tool to simulate decommissioning offshore wind farms

  • 1. MaREI Centre, ERI, University College Cork (Ireland)

Description

Decommissioning is an emerging practice for the offshore wind industry. To date, the Yttre Stengrund and Vindeby Offshore Wind Farms are the only installations to have been fully dismantled. While every project requires a decommissioning plan to gain consent; they are high-level estimates of the expected strategy, time required and costs. This is due to the lack of reliable data or experience. However; if underestimated, decommissioning may result in significant and unexpected outgoings at the end of a farm lifecycle. Simulation is an effective way to test a plan is both executable and cost-effective, as well as optimising activities for an individual site. Therefore, a stochastic tool was developed to simulate a wide range of decommissioning methods, considering the impact of uncertain factors such as weather and costs on time and expenditure. It is the first detailed simulation model developed for this crucial project phase. This paper describes the scope of the model; documents the validation activities undertaken; and demonstrates the model's capabilities. It was found that while further validation against real-case scenarios is necessary, the model can indicatively forecast costs and time for a given strategy as well as optimise scenarios and mitigate risks. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/1356/1/012021

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
1356
Journal Issue
1
Journal Page Range
[11 p.]
ISSN
1742-6596

Conference

Title
16. Deep Sea Offshore Wind R and D conference
Dates
16-18 Jan 2019
Place
Trondheim (Norway)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53072581
Subject category
S17: WIND ENERGY; S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTERIZED SIMULATION; DECOMMISSIONING; ELECTRIC POWER INDUSTRY; STOCHASTIC PROCESSES; WEATHER; WIND TURBINE ARRAYS
Descriptors DEC
INDUSTRY; SIMULATION