STOCHASTIC WEATHER WINDOW ANALYSIS IN OPERATIONS AND MAINTENANCE PLANNING POLICIES FOR OFFSHORE FLOATING MULTI-PURPOSE PLATFORMS

被引:0
|
作者
Heo, Taemin [1 ]
Liu, Ding Peng [1 ]
Manuel, Lance [1 ]
机构
[1] Univ Texas Austin, Dept Civil Architectural & Environm Engn, Austin, TX 78712 USA
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中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
In an emerging "blue economy," large multipurpose floating platforms in the open ocean could possibly support a range of activities including energy generation, aquaculture, seabed mining, transport, tourism, and sea-based laboratories. A Markov Decision Process (MDP) framework is developed to deal with operations and maintenance issues that are inevitable; challenges arise from the complex stochastic weather conditions that need to be accounted for. Using data as well as contrasting synthetic simulations of relevant weather variables, we demonstrate the robustness/versatility of the MDP model.
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