• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.480-490
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• 2018

Recently, The MRV (monitoring, reporting and verification) regulation, which measures, reports and verifies the emission gas of vessel to head for member countries of Europe Union (EU), is being implemented. As part this reason, we develop a system that estimates simple fuel consumption and recommends optimized stop-over ports of vessel, to calculate amount of carbon emission. To do this, we analyze fuel, distance and time consumption between port and the other port based on stored voyage data for over 10 years of real-ship, and implement a simple fuel consumption estimation module using analyzed result. Also, we design and implement the optimized route recommendation algorithm, existing navigation route display function including comparison with the optimized routes and user custom route plan function. Therefore, we expect the developed system is helpful when makes a navigation route and so on by reference indexes and we anticipate the system to have a sense for future research which learns and predicts for accuracy result.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.13-13
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• 2021

최근 항만에서 기인한 대기오염물질에 대한 심각성이 고조되고 있다. 본 연구는 부산항 (북항, 감천항 및 다대포항)을 대상으로 6월 한달 간의 항내에서 발생하는 대기오염물질 배출량을 추정하였다. 신뢰성 있는 대기오염물질 배출량 추정을 위하여 AIS(Automatic Identification System) 데이터를 기반으로 한 계산 방신인 Bottom-up 추정 방식을 활용하였으며 연료소모총량과 연료소비의 결과로서 발생한 대기오염물질 총량을 함께 분석하였다. 또한, 추정 배기가스 량을 이용하여 부산항에서의 환경 비용을 계산하였다.

• Journal of Advanced Navigation Technology
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• v.27 no.5
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• pp.649-657
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• 2023

ICAO adopted the Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA) at the 39th General Assembly in 2016, and 115 countries, including South Korea, expressed their intention to participate in CORSIA as of January 1, 2023. Since carbon generated in the aviation industry is mainly caused by greenhouse gases emitted from aircraft engines, fuel consumption must be reduced to reduce carbon emissions. Prior research, such as simulation, is essential to predict the effectiveness of each plan and to make decisions about its implementation. High-quality data is needed to derive accurate results, but it has been difficult to secure actual fuel consumption data, as they are considered to be classified airline data. Therefore, in this paper, after establishing a model that estimates fuel consumption based on actual fuel consumption data, the model is to be advanced to improve its accuracy.