碩士 / 國立臺灣海洋大學 / 河海工程學系 / 102 / With the increased demands for development of offshore wind power throughout the world, many offshore wind operators have stepped into investment on offshore wind industry. During the operating phase of an offshore wind farm, a great amount of operations and maintenance (O&;M) expenditure faced by operators, nevertheless, is responsive on seeking decision support tools to economically allocate the limited resources. Therefore, a decision–making problem regarding composition of offshore service vessels is considered as an important topic.
This study defines a multi–objective problem for O&;M of offshore wind farm, focusing on the combination of three different vessel types including crew transfer vessel (CTV), helicopter and multi–purpose vessel (MPV) associated with specific maintenance activities that operators require for supporting O&;M services. In order to solve the proposed problem, this study specifically discusses the development of a multi–objective programming model solved by ε–constraint method for determining optimal vessel composition with different maintenance activities on the wind farm.
For formulating the multi–objective problem, two competing objectives including cost and power loss are addressed in the study, where the goal is to minimize yearly O&;M costs and power losses on the wind farm. One of potential offshore wind farms, consisting of 36 wind turbines, is adopted to examine the applicability of the model, and used to generate a set of solutions through the calculation of computational study.
The results show that a set of compositions of offshore service vessels can be obtained by developed model, indicating that numbers of different vessel types are required for supporting different maintenance tasks. In addition, the total costs and power losses are demonstrated by generated solutions, which expose the trade–off relationship between cost and power loss that operators would encounter during the planning horizon. The model presented in this study can be provided as a decision–making tool for offshore wind operators to solve real–world problems.
Identifer | oai:union.ndltd.org:TW/102NTOU5192056 |
Date | January 2014 |
Creators | Fu, Pin-Chia, 傅品嘉 |
Contributors | Shiau, Tzay-An, 蕭再安 |
Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
Language | en_US |
Detected Language | English |
Type | 學位論文 ; thesis |
Format | 57 |
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