TY - GEN
T1 - COMPARISON OF O&M COST OF DIFFERENT SCENARIOS FOR A 1GW FLOATING OFFSHORE WIND FARM
AU - Zhao, Chenyu
AU - Johanning, Lars
N1 - Publisher Copyright:
Copyright © 2023 by ASME.
PY - 2023
Y1 - 2023
N2 - Operation and Maintenance (O&M) costs in an offshore wind project can constitute up to 30% of its total cost, a figure that can increase with the distance of the project offshore. The University of Exeter's Renewable Energy Group developed a study utilising the O&M module of Ec simulator, which can furnish a user with critical performance indicators, to examine O&M costs under various scenarios for 1 GW floating offshore wind (FLOW) farm sites in the Celtic Sea. The simulator conducts a range of Monte Carlo simulations over the entire lifespan of the FLOW farm, considering user-specified variables and limitations such as fleet size and the vessel's weather resilience. In this study, three different O&M cases are used to demonstrate the flexibility and functionality of the O&M module. Each case represents different wind farm selections under the exactly farm configuration, such as the capacity and numbers of the wind turbine. Results of these simulations offer a multitude of key performance indicators (KPIs), including energy production, downtime, energy-based availability and comprehensive O&M costs. It also gives more granular data, such as the number of component failures and vessel operating hours, aiding in the critical decision-making process for successful project management. The main objective of this study is to demonstrate how manipulating specific parameters can impact the viability of FLOW farms in the Celtic Sea.
AB - Operation and Maintenance (O&M) costs in an offshore wind project can constitute up to 30% of its total cost, a figure that can increase with the distance of the project offshore. The University of Exeter's Renewable Energy Group developed a study utilising the O&M module of Ec simulator, which can furnish a user with critical performance indicators, to examine O&M costs under various scenarios for 1 GW floating offshore wind (FLOW) farm sites in the Celtic Sea. The simulator conducts a range of Monte Carlo simulations over the entire lifespan of the FLOW farm, considering user-specified variables and limitations such as fleet size and the vessel's weather resilience. In this study, three different O&M cases are used to demonstrate the flexibility and functionality of the O&M module. Each case represents different wind farm selections under the exactly farm configuration, such as the capacity and numbers of the wind turbine. Results of these simulations offer a multitude of key performance indicators (KPIs), including energy production, downtime, energy-based availability and comprehensive O&M costs. It also gives more granular data, such as the number of component failures and vessel operating hours, aiding in the critical decision-making process for successful project management. The main objective of this study is to demonstrate how manipulating specific parameters can impact the viability of FLOW farms in the Celtic Sea.
KW - Celtic
KW - Ec simulator
KW - FLOW
KW - O&M
UR - http://www.scopus.com/inward/record.url?scp=85185225865&partnerID=8YFLogxK
U2 - 10.1115/IOWTC2023-119433
DO - 10.1115/IOWTC2023-119433
M3 - Conference proceedings published in a book
AN - SCOPUS:85185225865
T3 - Proceedings of ASME 2023 5th International Offshore Wind Technical Conference, IOWTC 2023
BT - Proceedings of ASME 2023 5th International Offshore Wind Technical Conference, IOWTC 2023
PB - The American Society of Mechanical Engineers(ASME)
T2 - ASME 2023 5th International Offshore Wind Technical Conference, IOWTC 2023
Y2 - 18 December 2023 through 19 December 2023
ER -