Optimizing liquefied natural gas terminal design for effective supply-chain operations

International Journal of Production Economics

Volumn 111, Issue 2, 2008, Pages 529-542

  Özelkan, Ertunga C ^a   D'Ambrosio, Alfred ^b   Teng, S Gary ^a  

^a University of North Carolina at Charlotte   (United States)

^b Hess Corporation   (United States)

Author keywords

Liquefied natural gas; Mixed integer programming; Supply chain management

Indexed keywords

DESIGN OF EXPERIMENTS; FLOW OF GASES; INTEGER PROGRAMMING; MATHEMATICAL MODELS; OPTIMIZATION; PROFITABILITY; SUPPLY CHAIN MANAGEMENT;

GAS DEMAND; MIXED INTEGER PROGRAMMING; VESSEL DOCKING CAPACITY;

LIQUEFIED NATURAL GAS;

EID: 37349059631     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2007.02.028     Document Type: Article

References (34)

1. Avery W., Brown G., Rosenkranz J., and Wood K. Optimization of purchase, storage, and transmission contracts for natural gas utilities. Operations Research 40 3 (1992) 446-462
2. Bopp A.E., Kannan V.R., Palocsay S.W., and Stevens S.P. An optimization model for planning natural gas purchases, transportation, storage and deliverability. Omega-International Journal of Management Science 24 50 (1996) 511-522
3. Brown G.G., Graves G.W., and Ronen D. Scheduling ocean transportation of crude oil. Management Science 33 3 (1987) 335-346
4. CEE-Center for Energy Economics, 2003. Introduction to LNG, University of Texa. Available from URL: 〈http://www.beg.utexas.edu/energyecon/lng/documents/IELE_introduction_to_LNG.pdf〉.
5. Chin L., and Vollmann T.E. Decision support models for natural gas dispatch. Transportation Journal (1992) 38-45
6. Contesse L., Ferrer J.C., and Maturana S. A mixed-integer programming model for gas purchase and transportation. Annals of Operations Research 139 (2005) 39-63
7. D'ambrosio, A.W., 2000. Global LNG Industry Segments & Trade Strategies. Enron Corporation-Technical Report, December.
8. D'Ambrosio, A., Ozelkan, E.C., Teng, S.G., 2005. Impact of supply chain capabilities on liquefied natural gas terminal design. In: Proceedings of the Global Institute for Energy and Environmental Systems (GIEES) Annual Conference, July 24-30.
9. Duffua S.O., Al-Zayer J.A., Al-Marhoun M.A., and Al-Saleh M.A. A linear programming model to evaluate gas availability for vital industries in Saudi Arabia. Journal of Operations Research Society 43 11 (1992) 1035-1045
10. EIA, Energy Information Administration, 2003. The Global Liquefied Natural Gas Market: Status & Outlook. US Department of Energy, Report #: DOE/EIA-0637. Available from URL: 〈http://www.eia.doe.gov/oiaf/analysispaper/global〉.
11. EIA, Energy Information Administration, 2004. World LNG Shipping Capacity Expanding. US Department of Energy. Available from URL: 〈http://www.eia.doe.gov/oiaf/analysispaper/global/worldlng.html〉.
12. FERC, Federal Energy Regulatory Commission, 2005. Existing and Proposed North American LNG Terminals. Office of Energy Projects, December 16. Available from URL: 〈http://www.ferc.gov/industries/lng.asp〉.
13. Fourer R., Gay D.M., and Kernighan B.W. AMPL: A Modeling Language for Mathematical Programming. second ed (2002), Duxbury Press, Brooks, Cole Publishing, Pacific Grove, CA
14. Fujii Y., Fukushima R., and Yamaji K. Analysis of the optimal configuration of energy transportation infrastructure in Asia with a linear programming energy system model. International Journal of Global Energy Issues 18 1 (2002) 23-43
15. Gabriel S.A., Manik J., and Vikas S. Computational experience with a large-scale, multi-period, spatial equilibtium model of the North American natural gas system. Networks and Spatial Economics 3 2 (2003) 97-122
16. Gabriel S.A., Zhuang J., and Kiet S. A large-scale linear complementarity model of the North American natural gas market. Energy Economics 27 (2005) 639-665
17. Gas Daily, 2004. Proposed LNG Projects in North America. Gas Daily, Special Report., The McGraw-Hill Companies, January 27.
18. Gaul, D., 2004a. US LNG Markets & Uses: June 2004 Update, Energy Information Administration. US Department Of Energy. Available from URL: 〈http://www.eia.doe.gov/pub/oil_gas/natural_gas/feature_articles/2004/lng/lng2004.pdf〉.
19. Gaul, D., 2004b. US Natural Gas Imports and Exports: Issues and Trends 2003. EIA, Energy Information Administration, US Department of Energy. Available from URL: 〈http://www.eia.doe.gov/pub/oil_gas/natural_gas/feature_articles/2004/ngimpexp/ngimpexp.pdf〉.
20. Gaul, D., Young, L., 2003. US LNG Markets and Uses. EIA, Energy Information Administration, US Department of Energy. Available from URL: 〈http://www.eia.doe.gov/pub/oil_gas/natural_gas/feature_articles/2003/lng/lng2003.pdf〉.
21. Guldmann J., and Wang F. Optimizing the natural gas supply mix of local distribution utilities. European Journal of Operational Research 112 (1999) 598-612
22. Haugen K.K. A stochastic dynamic programming model for scheduling of offshore petroleum fields with resource uncertainty. European Journal of Operational Research 88 (1996) 88-100
23. Khawan, F., 2001. Atlantic Basin LNG-growth opportunities but not for the fainthearted. Twenty-third Annual Oil & Money Conference, London, November 6.
24. Levary R., and Dean B. A natural gas flow model under uncertainty in demand. Operations Research 28 6 (1980) 1360-1374
25. LNGOneWorld, 2005. Available from URL: 〈http://www.lngoneworld.com〉.
26. Neil C. Distance continues to drive LNG costs for US delivery. Oil & Gas Journal (2004) 56
27. NGI, Natural Gas Intelligence, 2005. North American LNG Import Terminals Status of Proposed and Existing Facilities. June 29. Available from URL: 〈http://intelligencepress.com/features/lng〉.
28. NPC-National Petrolium Council, 2003. Balancing natural gas policy-vol. 5. Transmission and Distribution Task Group and LNG Subgroup Report, September. Available from URL: 〈http://www.npc.org/reports/ng.html〉.
29. O'Neill R., Willard M., Wilkins B., and Pike R. A mathematical programming model for allocation of natural gas. Operations Research 27 5 (1979) 857-872
30. Ronen D. Cargo ships routing and scheduling: Survey of models and problems. European Journal of Operational Research 12 (1983) 119-126
31. Ronen D. Short-term scheduling of vessels for shipping bulk or semi-bulk commodities originating in a single area. Operations Research 34 1 (1986) 164-173
32. Schultz C.R. Modeling take-or-pay contract decisions. Decision Science 28 1 (1997) 213-224
33. Sherali H.D., Al-Yakoob S.M., and Hassan M.M. Fleet management models and algorithms for an oil-tanker routing and scheduling problem. IIE Transactions 31 5 (1999) 395-406
34. Winston W.L. Introduction to Mathematical Programming. second ed (1995), Duxbury Press pp. 172-174