Real Time Monitoring of Energy Efficiency Operation Indicator on Merchant Ships
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초록
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 CO2,NOx, SOx, 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.
Abstract
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 CO2,NOx, SOx, 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.
참고문헌 (11)
- D. E. Fyffe, "System reliability allocation and a computational algorithm", IEEE Transactions on Reliability, 17, pp.64~69 (1968)
- Y. Nakagawa, "Surrogate constraints algorithm for reliability optimization problems with two constraints", IEEE Transactions on Reliability, 30, pp.175~180 (1981)
- D. E. Coit, "System reliability optimization with k‐out‐of‐n subsystems", International Journal of Reliability, Quality and Safety Engineering, 7, pp.129~142 (2000)
- D. E. Coit, "Reliability optimization of series‐parallel systems using a genetic algorithm", IEEE Transactions on Reliability, 45, pp.254~260 (1996)
- S. Kulturel‐Konak, "Efficiently solving the redundancy allocation problem using tabu search", IIE Transactions, 35, pp.515~526 (2003)
- S. Kulturel‐Konak, "Exploiting tabu search memory in constrained problems", INFORMS Journal on Computing, 16, pp.241~254 (2004)
- Y. C. Liang, "An ant colony optimization algorithm for the reliability allocation problem", IEEE Transactions on Reliability, 53, pp.417~423 (2004)
- M.S.Chern, "On the computational complexity of reliability redundancy allocation in a series system", Operations Research Letters, 11, pp.309~315 (1992)
- W. Kuo, "Optimal Reliability Design: Fundamentals and Applications" (2001), Cambridge University Press
- V.Cerny, "Thermodynamical approach to the traveling salesman problem: an efficient simulation algorithm", Journal of Optimization Theory and Applications, 45, pp.41~51 (1985)
- J. H. Kim, "Globally solving the redundancy allocation problem for the case of series‐parallel systems", Proceeding of the 2nd Asian International Workshop on Advanced Reliability Modeling, pp.150~157 (2006)
