{"title":"海上风电场船员运输船优化仿真模型","authors":"Natalie Holliday, L. D. Otero","doi":"10.1109/SysCon53073.2023.10131051","DOIUrl":null,"url":null,"abstract":"This research describes the construction of a discrete-event simulation model of the operations of servicing offshore wind turbines within offshore wind farms with the objective of optimizing cash flow. Specifically, the simulation model looks at alternate support vessels that carry crew to and from farms while completing operation and maintenance activities. Historical data were used to validate the model as well as data from prior simulation models. The simulation is able to identify feasibility concerns by analyzing four alternatives: the use of crew transport vessels (CTVs), adding an additional CTV, use of standard surface effect ships (SESs), and the use of optimized SESs. Of these alternatives, the number of support vessels, type of support vessel, and replacement of heavy-failure components can be assessed. The results showed that the average cash flows of the different alternatives were significantly different. Conclusions were made based on the results from the simulation study, and further research opportunities were identified.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Simulation Model for the Optimization of Crew Transport Vessels to Service Offshore Wind Farms\",\"authors\":\"Natalie Holliday, L. D. Otero\",\"doi\":\"10.1109/SysCon53073.2023.10131051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research describes the construction of a discrete-event simulation model of the operations of servicing offshore wind turbines within offshore wind farms with the objective of optimizing cash flow. Specifically, the simulation model looks at alternate support vessels that carry crew to and from farms while completing operation and maintenance activities. Historical data were used to validate the model as well as data from prior simulation models. The simulation is able to identify feasibility concerns by analyzing four alternatives: the use of crew transport vessels (CTVs), adding an additional CTV, use of standard surface effect ships (SESs), and the use of optimized SESs. Of these alternatives, the number of support vessels, type of support vessel, and replacement of heavy-failure components can be assessed. The results showed that the average cash flows of the different alternatives were significantly different. Conclusions were made based on the results from the simulation study, and further research opportunities were identified.\",\"PeriodicalId\":169296,\"journal\":{\"name\":\"2023 IEEE International Systems Conference (SysCon)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Systems Conference (SysCon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SysCon53073.2023.10131051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Systems Conference (SysCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SysCon53073.2023.10131051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Simulation Model for the Optimization of Crew Transport Vessels to Service Offshore Wind Farms
This research describes the construction of a discrete-event simulation model of the operations of servicing offshore wind turbines within offshore wind farms with the objective of optimizing cash flow. Specifically, the simulation model looks at alternate support vessels that carry crew to and from farms while completing operation and maintenance activities. Historical data were used to validate the model as well as data from prior simulation models. The simulation is able to identify feasibility concerns by analyzing four alternatives: the use of crew transport vessels (CTVs), adding an additional CTV, use of standard surface effect ships (SESs), and the use of optimized SESs. Of these alternatives, the number of support vessels, type of support vessel, and replacement of heavy-failure components can be assessed. The results showed that the average cash flows of the different alternatives were significantly different. Conclusions were made based on the results from the simulation study, and further research opportunities were identified.