Effect of environmental modelling and inspection strategy on the optimal design of floating wind turbines. (October 2021)
- Record Type:
- Journal Article
- Title:
- Effect of environmental modelling and inspection strategy on the optimal design of floating wind turbines. (October 2021)
- Main Title:
- Effect of environmental modelling and inspection strategy on the optimal design of floating wind turbines
- Authors:
- Hegseth, John Marius
Bachynski, Erin E.
Leira, Bernt J. - Abstract:
- Abstract: In order to reduce design conservatism and consequently the cost of energy, appropriate and cost-optimal safety factors should be derived, in light of environmental load uncertainties and lifetime costs. In the present work, a linearized dynamic model has been used together with Monte Carlo simulations and a numerical design optimization procedure to evaluate the impact of the description of wind and wave loads on the fatigue reliability and optimal design of a 10 MW spar floating wind turbine. Trade-offs between design costs and inspection costs with different design fatigue factors (DFFs) have also been assessed. The analyses have been performed for a realistic wind park site, where an environmental model has been developed based on hindcast data. Considering stochastic turbulence intensity, wind-wave misalignment, wind directional distribution, and a two-peak wave spectrum reduced the long-term fatigue damage by approximately two-thirds along the fatigue-critical part of the support structure compared to the base model. Re-designing the tower and platform with the full environmental model resulted in 11% reduction in CAPEX. However, due to the applied design optimization procedure, consistent reliability levels were achieved along the tower length, which resulted in important system side effects for the total structural reliability. Trade-offs between CAPEX and OPEX were derived based on a probabilistic fracture mechanics model and reliability updating throughAbstract: In order to reduce design conservatism and consequently the cost of energy, appropriate and cost-optimal safety factors should be derived, in light of environmental load uncertainties and lifetime costs. In the present work, a linearized dynamic model has been used together with Monte Carlo simulations and a numerical design optimization procedure to evaluate the impact of the description of wind and wave loads on the fatigue reliability and optimal design of a 10 MW spar floating wind turbine. Trade-offs between design costs and inspection costs with different design fatigue factors (DFFs) have also been assessed. The analyses have been performed for a realistic wind park site, where an environmental model has been developed based on hindcast data. Considering stochastic turbulence intensity, wind-wave misalignment, wind directional distribution, and a two-peak wave spectrum reduced the long-term fatigue damage by approximately two-thirds along the fatigue-critical part of the support structure compared to the base model. Re-designing the tower and platform with the full environmental model resulted in 11% reduction in CAPEX. However, due to the applied design optimization procedure, consistent reliability levels were achieved along the tower length, which resulted in important system side effects for the total structural reliability. Trade-offs between CAPEX and OPEX were derived based on a probabilistic fracture mechanics model and reliability updating through inspections. The necessary inspection intervals to achieve the same accumulated reliability after 20 years of operation were identified with different DFFs, and cost-optimal safety factors were computed with different OPEX costs and interest rates. Highlights: The long-term fatigue reliability of a 10 MW spar FWT is assessed. Support structure design is performed using numerical design optimization. The effect of environmental modelling on reliability and design costs is quantified. Turbulence modelling and misalignment had large impact on the fatigue loads. Trade-off effects between CAPEX and OPEX with different inspection plans were studied. … (more)
- Is Part Of:
- Reliability engineering & system safety. Volume 214(2021)
- Journal:
- Reliability engineering & system safety
- Issue:
- Volume 214(2021)
- Issue Display:
- Volume 214, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 214
- Issue:
- 2021
- Issue Sort Value:
- 2021-0214-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-10
- Subjects:
- Offshore wind energy -- Floating wind turbines -- Design optimization -- Fatigue reliability -- Inspection
Reliability (Engineering) -- Periodicals
System safety -- Periodicals
Industrial safety -- Periodicals
Fiabilité -- Périodiques
Sécurité des systèmes -- Périodiques
Sécurité du travail -- Périodiques
620.00452 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09518320 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ress.2021.107706 ↗
- Languages:
- English
- ISSNs:
- 0951-8320
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7356.422700
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