碩士 / 國立臺灣海洋大學 / 輪機工程學系 / 107 / The growth of global atmospheric emissions from ships forced IMO and the EU to issue restrictive maritime laws to regulate ship emissions. The earlier MARPOL convention is designed to limit mainly, the SO_X and NO_X pollutant emissions of ships without clear regulation on the method and procedure for emission monitoring. In 2013, the EU proposed the MRV regulations for shipping GHGs. Merchant ships navigating to EU port merchants must self-monitor CO_2 emissions, calculate fuel consumption and emission during operation, in order to effectively manage GHGs emissions from ships and therefore meet regional carbon reduction targets. In the face of international regulations, ships in the future must choose method for exhaust monitoring. Four monitoring methods are provided in the monitoring section of the MRV regulations, but many ship owners are burdened by factors such as cost of expensive equipment and ease of operation. This study explored the possibility of using existing technology to incorporate a highly maneuverable drone with gas analyzers. It is flied to ship's exhaust plume for actual exhaust gas monitoring. The test data are compared with estimate data obtained from calculations and literature to verify the reliability. The results obtained in this experiment show that there is potential of applying a drone for monitoring emission from ships. Many technical problems need to be overcome. For example, the effect of air stream generated by the drone rotor can disperse the surrounding gas substances, causing errors in measurement. In addition, the micro-environment can also influence the measurements. Solving these problems through further study will be the key to the application of drone on ship emission monitoring in the near future.
| Identifer | oai:union.ndltd.org:TW/107NTOU5484010 |
| Date | January 2019 |
| Creators | LAI,JYUN-WUN, 賴俊文 |
| Contributors | Hua, Jian, 華健 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 61 |
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