Browse > Article
http://dx.doi.org/10.7315/CADCAM.2013.439

Layout Method of a Floating Offshore Structure Using the Optimization Technique  

Jeong, Se-Yong (Department of Naval Architecture and Ocean Engineering, University of Ulsan)
Roh, Myung-Il (Department of Naval Architecture and Ocean Engineering, and Research Institute of Marine Systems Engineering, Seoul National University)
Shin, Hyun-Kyoung (School of Naval Architecture and Ocean Engineering, University of Ulsan)
Ha, Sol (Engineering Research Institute, Seoul National University)
Ku, Nam-Kug (Engineering Research Institute, Seoul National University)
Abstract
In the case of a floating offshore structure such as FPSO(Floating, Production, Storage, and Offloading unit), many equipment should be installed in the limited space, as compared with an onshore structure. Recently, the requirement for an optimal layout method of the structure has been raised. Thus, a layout method of the floating offshore structure was proposed in this study. First, an optimization problem for layout design was mathematically formulated, and then an optimization algorithm was implemented based on the genetic algorithm in order to solve it. To evaluate the applicability of the proposed method, it was applied to examples ofFPSO topsides and an offshore wind turbine. As a result, it was shown that the proposed method can be applied to layout design of the floating offshore structure.
Keywords
Floating offshore structure; Genetic algorithm; Layout method; Optimization technique;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Goldberg, D.E., 1989, Genetic Algorithms in Search, Optimization, and Machine Learning, Reading, MA, Addison Wesley.
2 Davis, L., 1991, Handbook of Genetic Algorithms, New York, Van Nostrand-Reinhold.
3 Kado, K., 1995, An Investigation of Genetic Algorithms for Facility Layout Problems, M.Sc. Thesis, University of Edinburgh.
4 Liggett, R.S., 2000, Automated Facilities Layout: Past, Present and Future, Automation in Construction, 9, pp.197-215.   DOI   ScienceOn
5 PETRONAS, 1990, Layout Considerations for Offshore Topsides Facilities, PETRONAS TECHNICAL STANDARDS PTS 20.179.
6 Goldberg, D.E. and Lingle, R., 1985, Alleles, Loci and the Traveling Salesman Problem, Proceedings of the First International Conference on Genetic Algorithms, San Francisco, USA, pp.154-159.
7 Marco, N., Desideri, J.A., and Lanteri, S., 1999, Multi-Objective Optimization in CFD by Genetic Algorithm, INRIA Report No 3686.
8 ABS, 2013, Guide for Building and Classing Floating Offshore Wind Turbine Installations, American Bureau of Shipping.
9 Cohon, J.L., 1978, Multiobjective Programming and Planning, Academic Press, New York.
10 Srinivas, N. and Deb, K., 1994, Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms, Journal of Evolutionary Computation, 2(3), pp.221-248.   DOI
11 Fonesca, C.H. and Fleming P.J., 1993, Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization, Proceedings of the 5th International Conference on Genetic Algorithms, Urbana-Champaign, USA, pp.416-423.
12 Penteado, F.D. and Ciric, A.R., 1996, An MINLP Approach for Safe Process Plant Layout, Industrial & Engineering Chemistry Research, 35, pp.1354-1361.   DOI   ScienceOn
13 Ku, N.K., Lee, J.C., Roh, M.I., Hwang, J.H. and Lee, K.Y., 2012, Multi-floor Layout for the Liquefaction Process Systems of LNG FPSO Using the Optimization Technique, Transactions of the Society of Naval Architects of Korea, 49(1), pp.68-78.   과학기술학회마을   DOI   ScienceOn
14 Jung, H.C., Lim, S.W. and Kim, Y.H., 2006, An Demand Outlook of Offshore Oil Production Structures, Transactions of the Society of Naval Architects of Korea, 43(1), pp.49-57.
15 Tam, K., 1992, Genetic Algorithms, Function Optimization, and Facility Layout Design, European Journal of Operations Research, 63, pp.322-346.   DOI   ScienceOn
16 Chan, K. and Tansri, H., 1994, A Study of Genetic Crossover Operations on the Facility Layout Problem, Computers and Industrial Engineering, 26(3), pp.537-550.   DOI   ScienceOn
17 Conway, D.G. and Venkataramanan, M.A., 1994, Genetic Search and the Dynamic Facility Layout Problem, Computers and Operation Research, 21(8), pp.955-960.   DOI   ScienceOn
18 Sulung and Chan, K.C., 1996, Design of 2-Dimensional Crossover Operators for the Facilities Layout Problem, Proceedings of Artificial Neural Networks in Engineering, 6, pp.373-378.
19 Kochhar, J.S. and Heragu, S.S., 1998, MULTIHOPE: A Tool for Multiple Floor Layout Problems, International Journal of Production Research, 36(12), pp.3421-3435.   DOI   ScienceOn
20 Georgiadis, M.C., Schilling, G., Rotstein, G.E. and Macchietto, S., 1999, A General Mathematical Programming Approach for Process Plant Layout, Computers and Chemical Engineering, 23, pp.823-840.   DOI   ScienceOn
21 Park, K.T., Koo, J.M., Shin, D.I., Lee, C.J. and Yoon, E.S., 2011, Optimal Multi-floor Plant Layout with Consideration of Safety Distance based on Mathematical Programming and Modified Consequence Analysis, Korean Journal of Chemical Engineering, 28(4), pp.1009-1018.   DOI   ScienceOn
22 Han, S.N., Lee, K.Y. and Roh, M.I., 2001, A Study on the Optimal Facility Layout Design Using an Improved Genetic Algorithm, Transactions of the Society of CAD/CAM Engineers, 6(3), pp.174-183.   과학기술학회마을