TY - JOUR
T1 - A tool to simulate decommissioning offshore wind farms
AU - McAuliffe, F. Devoy
AU - Desmond, C.
AU - Chester, R.
AU - Flannery, B.
AU - Judge, F.
AU - Lynch, K.
AU - Murphy, J.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2019/10/24
Y1 - 2019/10/24
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85075082615
U2 - 10.1088/1742-6596/1356/1/012021
DO - 10.1088/1742-6596/1356/1/012021
M3 - Article
AN - SCOPUS:85075082615
SN - 1742-6588
VL - 1356
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012021
T2 - 16th Deep Sea Offshore Wind R and D Conference, DeepWind 2019
Y2 - 16 January 2019 through 18 January 2019
ER -