DOI QR코드

DOI QR Code

MGO Chiller 시스템의 제어 방식에 따른 온도 동특성 연구

Study of Temperature Dynamic Characteristics of Various Control Methods for MGO Chiller System

  • Cho, Hee-Joo (Department of Naval Architecture and Offshore Engineering, Dong-A University) ;
  • Kim, Sung-Hoon (Mytec) ;
  • Choi, Jungho (Department of Naval Architecture and Offshore Engineering, Dong-A University)
  • 투고 : 2019.01.11
  • 심사 : 2019.04.11
  • 발행 : 2019.04.30

초록

It is important that an MGO Chiller System, which is one of the sulfur oxide emission control technologies, is designed to meet the fuel temperature requirements, even with sudden engine load changes. Three different control algorithms (PI, Cascade, and MPC) were applied to an indirect MGO chiller system to compare and analyze the outlet temperature dynamic characteristics of the system through a case study. The results showed that the MPC control method had the best temperature following characteristics in the case study, and the temperature deviation range was reduced by approximately 5% compared to the PI control method.

키워드

참고문헌

  1. Astrom, K., Haggland, T., 1995. PID Controllers: Theory, Design and Tuning. Second edition, International Society of Automation.
  2. Boles, M.A., Cengel, Y.A., 2012. Thermodynamics: An Engineering Approach. 4th Edition, McGraw-Hill, Korea.
  3. Choi, D.K., Jeong, S.K., 2016. PI Controller Design Based on Characteristic Parameters and Zero Position Adjustment for an Oil Cooler System. Journal of the Korean Society for Power System Engineering, 20(4), 83-90. https://doi.org/10.9726/kspse.2016.20.4.083
  4. Doyle, J.C., Francis, B.A., Tannenbaum, A., 1992. Feedback Control Theor. Macmillan Pub. Co., New York.
  5. ISO, 2017. Petroleum Products-Fuels(class F)-Specifications of Marine Fuels. ISO 8217:2017.
  6. Kjeld, A., 2009. Operational Guidelines to Operating MAN B&W 2-Stroke Engines on Disillate Fuels. Journal of the JIME, 44(6), 888-893. https://doi.org/10.5988/jime.44.888
  7. Kang, T.W., Choi, W.J., Bae, J.R., Jang, J.W., Han, S.J., Ryu, K.S., Park, C.K., 2010. Evaluation of Control Characteristics for Indirect Type MGO Cooler System. Journal of the Korea Society of Marine Engineering, 97-100. https://doi.org/10.5916/jkosme.2009.33.1.97
  8. Lee, H.Y., Han, S.J., Ryu, K.S., Park, C.K., Choi, W.J., Bae, J.R., Jang, J.W., Kang, T.W., 2011. MGO Viscosity Control for Indirect Type MGO Cooler System. Proceedings of The Korean Society of Mechanical Engineers Fall Conference, 1066-1069.
  9. Lee, Y., Lee, J.H., Park, S., 2000. On Interfacing Model Predictive Controllers with Low-level Loops. Industrial and Engineering Chemistry Research, 32(1), 92-102. https://doi.org/10.1021/ie990372k
  10. Pour, N.D., Montazeri, A., Poshtan, J., Jahed Motlahgh, M.R., 2007. Two Case Studies for Applying Model Predictive Controllers on Chemical Precesses. The-33rd Annual Conference of the IEEE Industrial Electronics Society(IECON), 580-585. https://doi.org/10.1109/IECON.2007.4460024
  11. Qin, S.J., Badgwell, T.A., 2003. A Survey of Iindustrial Model Predictive Control Technology. Control Engineering Practice, 11(7), 733-764. https://doi.org/10.1016/S0967-0661(02)00186-7
  12. Ryu, K.S., 2013. Design and Evaluation of Temperature Controller for Direct Type MGO Cooler System. Graduate School of Industry, Pukyong National University, 4-8.
  13. Tuan, T.T., Tufa, L.D., Mutalib, M.I.A., Olakunle, K.R., 2017. An Hysys Simulation of Dynamic Process using Linear Offset Free MPC with an Empirical Model. Indian Jounal of Science and Technology, 10(7), 1-5. https://doi.org/10.17485/ijst/2017/v10i7/111454