A Stochastic Petri Net Model for O&M Planning of Floating Offshore Wind Turbines
With increasing deployment of offshore wind farms further from shore and in deeper waters, the efficient and effective planning of operation and maintenance (O&M) activities has received considerable attention from wind energy developers and operators in recent years. The O&M planning of off...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/4/1134 |
| _version_ | 1797395779404431360 |
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| author | Tobi Elusakin Mahmood Shafiee Tosin Adedipe Fateme Dinmohammadi |
| author_facet | Tobi Elusakin Mahmood Shafiee Tosin Adedipe Fateme Dinmohammadi |
| author_sort | Tobi Elusakin |
| collection | DOAJ |
| description | With increasing deployment of offshore wind farms further from shore and in deeper waters, the efficient and effective planning of operation and maintenance (O&M) activities has received considerable attention from wind energy developers and operators in recent years. The O&M planning of offshore wind farms is a complicated task, as it depends on many factors such as asset degradation rates, availability of resources required to perform maintenance tasks (e.g., transport vessels, service crew, spare parts, and special tools) as well as the uncertainties associated with weather and climate variability. A brief review of the literature shows that a lot of research has been conducted on optimizing the O&M schedules for fixed-bottom offshore wind turbines; however, the literature for O&M planning of floating wind farms is too limited. This paper presents a stochastic Petri network (SPN) model for O&M planning of floating offshore wind turbines (FOWTs) and their support structure components, including floating platform, moorings and anchoring system. The proposed model incorporates all interrelationships between different factors influencing O&M planning of FOWTs, including deterioration and renewal process of components within the system. Relevant data such as failure rate, mean-time-to-failure (MTTF), degradation rate, etc. are collected from the literature as well as wind energy industry databases, and then the model is tested on an NREL 5 MW reference wind turbine system mounted on an OC3-Hywind spar buoy floating platform. The results indicate that our proposed model can significantly contribute to the reduction of O&M costs in the floating offshore wind sector. |
| first_indexed | 2024-03-09T00:40:39Z |
| format | Article |
| id | doaj.art-6c7a6131ac51419988e1f6aa0f0a0c3f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T00:40:39Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-6c7a6131ac51419988e1f6aa0f0a0c3f2023-12-11T17:51:18ZengMDPI AGEnergies1996-10732021-02-01144113410.3390/en14041134A Stochastic Petri Net Model for O&M Planning of Floating Offshore Wind TurbinesTobi Elusakin0Mahmood Shafiee1Tosin Adedipe2Fateme Dinmohammadi3Department of Energy and Power, Cranfield University, College Road, Bedfordshire MK43 0AL, UKMechanical Engineering Group, School of Engineering, University of Kent, Canterbury CT2 7NT, UKDepartment of Energy and Power, Cranfield University, College Road, Bedfordshire MK43 0AL, UKThe Bartlett Centre for Advanced Spatial Analysis (CASA), University College London (UCL), Gower Street, London WC1E 6BTL, UKWith increasing deployment of offshore wind farms further from shore and in deeper waters, the efficient and effective planning of operation and maintenance (O&M) activities has received considerable attention from wind energy developers and operators in recent years. The O&M planning of offshore wind farms is a complicated task, as it depends on many factors such as asset degradation rates, availability of resources required to perform maintenance tasks (e.g., transport vessels, service crew, spare parts, and special tools) as well as the uncertainties associated with weather and climate variability. A brief review of the literature shows that a lot of research has been conducted on optimizing the O&M schedules for fixed-bottom offshore wind turbines; however, the literature for O&M planning of floating wind farms is too limited. This paper presents a stochastic Petri network (SPN) model for O&M planning of floating offshore wind turbines (FOWTs) and their support structure components, including floating platform, moorings and anchoring system. The proposed model incorporates all interrelationships between different factors influencing O&M planning of FOWTs, including deterioration and renewal process of components within the system. Relevant data such as failure rate, mean-time-to-failure (MTTF), degradation rate, etc. are collected from the literature as well as wind energy industry databases, and then the model is tested on an NREL 5 MW reference wind turbine system mounted on an OC3-Hywind spar buoy floating platform. The results indicate that our proposed model can significantly contribute to the reduction of O&M costs in the floating offshore wind sector.https://www.mdpi.com/1996-1073/14/4/1134floating offshore wind turbine (FOWT)operation and maintenance (O&M)Petri network (PN)spar buoy platformmooring and anchoring |
| spellingShingle | Tobi Elusakin Mahmood Shafiee Tosin Adedipe Fateme Dinmohammadi A Stochastic Petri Net Model for O&M Planning of Floating Offshore Wind Turbines Energies floating offshore wind turbine (FOWT) operation and maintenance (O& M) Petri network (PN) spar buoy platform mooring and anchoring |
| title | A Stochastic Petri Net Model for O&M Planning of Floating Offshore Wind Turbines |
| title_full | A Stochastic Petri Net Model for O&M Planning of Floating Offshore Wind Turbines |
| title_fullStr | A Stochastic Petri Net Model for O&M Planning of Floating Offshore Wind Turbines |
| title_full_unstemmed | A Stochastic Petri Net Model for O&M Planning of Floating Offshore Wind Turbines |
| title_short | A Stochastic Petri Net Model for O&M Planning of Floating Offshore Wind Turbines |
| title_sort | stochastic petri net model for o m planning of floating offshore wind turbines |
| topic | floating offshore wind turbine (FOWT) operation and maintenance (O& M) Petri network (PN) spar buoy platform mooring and anchoring |
| url | https://www.mdpi.com/1996-1073/14/4/1134 |
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