• 한국항해항만학회지
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• 제34권7호
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• pp.577-585
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• 2010

This paper analyzes the efficiency of Korean Ship Component Part Manufacturer firms using DEA model. We evaluated the CCR, BCC efficiency and RTS of 30 Korea Ship Component Part Manufacturer firms. We also suggested the Korean Ship Component Part Manufacturer firms that can be benchmarked based on analyzed information. The result showed five enterprises whose values of CCR efficiency are 1, and eleven enterprises whose values of BCC efficiency are 1. RTS indicated IRS of 1 firms, DRS of 24 firms and CRS of 5 firms.

• 한국항해항만학회지
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• 제40권4호
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• pp.165-171
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• 2016

IMO에서는 선박온실가스 규제를 위해 2013년부터 현존선의 선박에너지효율관리계획인 SEEMP (Ship Energy Efficiency Management Plan)의 시행을 강제화하고 있다. SEEMP에서 권고하는 에너지절감기술 가이드라인은 크게 하드웨어적인 장비의 탑재 및 개조 또는 소프트웨어적인 기술을 통한 연료유 절감효과로 구분된다. 신조선의 경우 하드웨어적인 기술구현이 용이하지만 현존선의 경우 운항상 제약으로 인해 소프트웨어적인 에너지 절감기술 구현이 적용되고 있다. IT기반의 선박에너지절감 시스템 성능평가를 위해 해상시험을 수행하였고, 시스템 적용 전후의 항차데이터를 이용하여 연료유 절감효과를 비교 분석 하였다. 또한, SEEMP에서 자발적인 사용을 권고하고 있는 선박 경제운항 지표 (EEOI, Ship Energy Efficiency Operation Indicator) 분석을 통한 성능평가 결과를 제시하였다.

• 해양환경안전학회지
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• 제29권1호
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• pp.60-66
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• 2023

현재의 해양산업의 기술은 스마트 선박 및 자율운항선박 등의 개발과 같은 자율화 및 지능화와 환경규제의 강화에 맞추어 선박의 운항 효율성을 개선하는 친환경 선박을 위한 기술이 함께 개발되고 있다. 이러한 흐름에 맞추어, 세계각국에서는 선박의 안전운항을 보장하는 선에서 선박운항효율을 극대화하기 위해 다양한 방식으로 노력하고 있다. 본 연구에서는, 현존하는 선박운항효율 개선 기술이 운항 당시의 기상환경, 선박조종 등의 선박운항상태를 실시간으로 반영하지 못하는 문제를 개선하기 위해, 선박에서 수집한 선박운항데이터를 활용하여 실시간 선박운항효율 분석모델을 개발하고자 한다. 본 연구의 실시간 선박운항효율 분석모델은 연료소모를 기준으로 판단한 선박운항효율과 당시의 선박운항상태를 감안하여 판단한 선박운항효율을 비교하여, 식별된 선박운항효율의 타당성을 확인할 수 있는 모델이다. 분석의 주요 내용은 대상선박의 선정과 선박운항데이터의 수집, 선박운항효율 특성과 선박운항상태 특성의 구분, 그리고 이를 활용한 분류모델의 개발을 포함한다. 연구의 결과는 기존의 선박운항효율과 항해 당시 선박운항상태를 감안한 운항효율을 제시하여 선박 운항자의 의사결정을 지원하여 운항효율을 개선하고자 한다.

• 한국항행학회논문지
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• 제20권5호
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• pp.408-416
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• 2016

본 연구에서는 선내 수집데이터를 활용하는 선박 및 육상 서비스를 위한 선박용 어플리케이션 시스템과 해상 데이터 통합관리 및 상호교환을 위한 선육 간 통합 시스템을 활용한 선박 에너지효율 모니터링 시스템을 설계하였다. 선박 에너지효율 모니터링 시스템은 윈도우 기반의 응용프로그램으로 file base EDI 통신을 이용하도록 구성하였다. 주요기능으로 연료소모량 최소화를 위한 항로 계획, 에너지 소모 및 배출가스 배출 모니터링, 선박 에너지 효율 분석 및 분석데이터 분석을 구현하고 실 운항선박에 적용하여 시스템의 정상 동작을 확인하였다.

• 한국항해항만학회지
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• 제39권6호
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• pp.465-472
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• 2015

선박온실가스 규제를 위한 SEEMP (Ship Energy Efficiency Management Plan) 기술 중 선박에너지절감을 위한 조치는 하드웨어적인 장비를 선박에 탑재하여 구현하거나, 인적교육 및 운항패턴 개선 등과 같은 소프트웨어적인 방식으로 구현 가능하다. 선체저항개선을 위한 기술 중 하드웨어적인 장비 개조를 통해 구현되는 기술은 현존선에 적용하는데 장비의 규모 등에 의한 제약이 발생한다. 반면 소프트웨어적인 에너지절감기술의 구현은 저렴한 도입비용과 하드웨어적인 방식에 비해 높은 에너지 절감효과를 보이며, 선종에 크게 구애받지 않고 적용이 용이하다는 장점을 가지고 있어 IT 기술을 이용한 선박에너지절감기술이 요구되어지고 있다. 본 논문에서는 IT 기반의 선박에너지절감 기술을 검증하기 위하여 대표적인 3개 선종에 대한 실선 모델링 기반의 선박조종시뮬레이터를 이용한 육상시험을 수행하였다. 시뮬레이터를 이용한 성능검증 방법은 6개의 다양한 환경조건에서 에너지절감기술 적용 전후의 운항결과로부터 에너지절감효과를 비교 분석하고, 해상상태에 따른 구간별 비교결과를 통해 IT기반 에너지절감시스템의 성능평가를 수행하였다. 벌크, 컨테이너, VLCC 선종을 이용한 육상시험 결과 컨테이너선의 연료절감률이 가장 크게 나타났고, 육상시험 대상선박 모두 선박에너지절감시스템 사용전과 비교하여 연료절감효과를 보였다.

• Journal of Advanced Marine Engineering and Technology
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• 제35권3호
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• pp.301-308
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• 2011

International Maritime Organization (IMO) proposed the Energy Efficiency Operation Indicator (EEOI) in 2005 and the Energy Efficiency Design Index (EEDI) in 2008 so as to address emission concern and regulation. Likewise, Ship Energy Efficiency Management Plan (SEEMP) and Greenhouse Gas (GHG) monitoring and management are also becoming an issue lately. This paper introduces the energy efficiency design index (operation indicator) monitoring system (EDiMS) software can continuously monitor $CO_2$, $NO_x$, $SO_x$, and PM values emitted from ship. The accurate inventory of ships GHG can be obtained from base of emission result during the engine shop test trial and the actual monitoring of shaft power and ship speed. In addition, the ability to store all exhaust emission and engine operation data can be applied as the useful tool of the inventory work of air pollution and ship energy management plan for the mitigation or reduction of ship emissions.

• Journal of Advanced Marine Engineering and Technology
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• 제38권2호
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• pp.123-132
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• 2014

The maritime sector is advancing with dedicated endeavor to reduce greenhouse gas in addressing issues with regards to global warming. Since 01 January 2013, the International Maritime Organization (IMO) regulation mandatory requirement for Energy Efficiency Design Index (EEDI) has been in place and should be satisfied by newly-built ships of more than 400 gross tonnage and the Ship Energy Efficiency Management Plan (SEEMP) for all ships type. Therefore, compliance to this necessitates planning during the design stage whereas verification can be carried-out through an acceptable method during sea trial. The MEPC-approved 2013 guidance, ISO 15016 and ISO 19019 on EEDI serves the purpose for calculation and verification of attained EEDI value. Individual ships EEDI value should be lower than the required value set by these regulations. The key factors for EEDI verification are power and speed assessment and their synchronization. The shaft power can be measured by telemeter system using strain gage during sea trial. However, calibration of shaft power onboard condition is complicated. Hence, it relies only on proficient technology that operates within the permitted ISO allowance. On the other hand, the ship speed can be measured and calibrated by differential ground positioning system (DGPS). An actual test on a newly-built vessel was carried out to assess the correlation of power and speed. The Energy-efficiency Design Index or Operational Indicator Monitoring System (EDiMS) software developed by the Dynamics Laboratory-Mokpo Maritime University (DL-MMU) and Green Marine Equipment RIS Center (GMERC) of Mokpo Maritime University was utilized for this investigation. In addition, the software can continuously monitor air emission and is a useful tool for inventory and ship energy management plan. This paper introduces the synchronization and identification method between shaft power and ship speed for EEDI verification in accordance with the ISO guidance.

• 수산해양기술연구
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• 제41권3호
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• pp.227-233
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• 2005

In order to estimate the effective horse power(EHP) in towing net of a bottom trawl ship, the ship's resistance was calculated by using a series data of Yamagata and Wigley formula. Also the effective horse power for a ship(EHPs) was estimated versus the ship speed in sailing and the propulsive efficiency was calculated with the brake horse power and the effective horse power. Then the effective horse power for a ship and a trawl net were estimated in the application of the propulsive efficiency in towing net. The total effective horse power($EHP_T$) was average 187.6kW and the effective horse power for a 1.awl net($EHP_n$) was average 176.7kW at a smooth sea state in towing net. The ratio of $EHP_n$ to $EHP_T$ was about 94.0% and the value was higher slightly than was already informed at a smooth sea state. The power for keeping up a townet speed was required more about 20% of a maximum continuous power at a rather rough sea state than a smooth sea state. In the future, if the residual resistance is considered with a sea state, $EHP_n$ will be estimated more correctly Also the data of EHP estimated by this method will be used as the basic data to design a trawl net.

• International Journal of Naval Architecture and Ocean Engineering
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• 제12권1호
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• pp.440-454
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• 2020

To prevent pollution from ships, the Energy Efficiency Design Index (EEDI) is a mandatory guideline for all new ships. The Ship Energy Efficiency Management Plan (SEEMP) has also been applied by MARPOL to all existing ships. SEEMP provides the Energy Efficiency Operational Indicator (EEOI) for monitoring the operational efficiency of a ship. By monitoring the EEOI, the shipowner or operator can establish strategic plans, such as routing, hull cleaning, decommissioning, new building, etc. The key parameter in calculating EEOI is Fuel Oil Consumption (FOC). It can be measured on board while a ship is operating. This means that only the shipowner or operator can calculate the EEOI of their own ships. If the EEOI can be calculated without the actual FOC, however, then the other stakeholders, such as the shipbuilding company and Class, or others who don't have the measured FOC, can check how efficiently their ships are operating compared to other ships. In this study, we propose a method to estimate the EEOI without requiring the actual FOC. The Automatic Identification System (AIS) data, ship static data, and environment data that can be publicly obtained are used to calculate the EEOI. Since the public data are of large capacity, big data technologies, specifically Hadoop and Spark, are used. We verify the proposed method using actual data, and the result shows that the proposed method can estimate EEOI from public data without actual FOC.

• 한국해양공학회지
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• 제37권5호
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• pp.181-189
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• 2023

The fuel consumption of marine diesel engines holds paramount importance in contemporary maritime transportation and shapes energy efficiency strategies of ocean-going vessels. Nonetheless, a noticeable gap in knowledge prevails concerning the influence of ship hull conditions and propeller roughness on fuel consumption. This study bridges this gap by utilizing artificial intelligence techniques in Matlab, particularly convolutional neural networks (CNNs) to comprehensively investigate these factors. We propose a time-series prediction model that was built on numerical simulations and aimed at forecasting ship hull and propeller conditions. The model's accuracy was validated through a meticulous comparison of predictions with actual ship-hull and propeller conditions. Furthermore, we executed a comparative analysis juxtaposing predictive outcomes with navigational environmental factors encompassing wind speed, wave height, and ship loading conditions by the fuzzy clustering method. This research's significance lies in its pivotal role as a foundation for fostering a more intricate understanding of energy consumption within the realm of maritime transport.