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Costs and Constraints of Transporting and Storing Primary Energy for Electricity Generation

Implications for Optimization Models
  • Sarah M. RyanEmail author
  • Yan Wang
Chapter
  • 1.3k Downloads
Part of the Energy Systems book series (ENERGY)

Abstract

This article describes the fuel transportation and storage components of the supply chain for electricity. We focus on dispatchable generation based on transportable fuels. Coal has very flexible transportation and storage requirements. Natural gas requires pressurized pipelines and storage facilities; or it can be liquefied, then stored and transported at very low temperatures, and then revaporized. Biomass presents logistical challenges related to its relatively low energy intensity and seasonality of supply. We review ways to model the physical constraints and cost characteristics that govern the transportation and storage of these fuels and examine their implications for decision models in restructured electricity markets.

Keywords

Dispatchable generation Electricity supply chain Equilibrium Fuel transportation Optimization 

References

  1. 1.
    Energy Information Administration (2010) International energy outlook 2010. U.S. Department of Energy, Washington, DCGoogle Scholar
  2. 2.
    Energy Information Administration (2010) Electric power annual 2008. Department of Energy, Washington, DCGoogle Scholar
  3. 3.
    Casten S (2010) Fuel swap: natural gas as a near-term CO2 mitigation strategy. Public Utilities Fortn 148(4):40–44Google Scholar
  4. 4.
    Federal Energy Regulatory Commission (2005) The Western energy crisis, the Enron bankruptcy, and FERC’s response. http://www.ferc.gov/industries/electric/indus-act/wec/chron/chronology_OnlinePDF.pdf. Accessed Sept 2009
  5. 5.
    Commonwealth of Massachusetts (2006) Electricity price, reliability, and markets report 2005.Google Scholar
  6. 6.
    Federal Energy Regulatory Commission (2008) 2007 state of the markets reportGoogle Scholar
  7. 7.
    Clayton M (2006) Enough coal on hand to keep US cool? Christian Science Monitor, 25 May 2006Google Scholar
  8. 8.
    Bergerson JA, Lave LB (2005) Should we transport coal, gas or electricity: cost, efficiency and environmental implications. Environ Sci Technol 39(16):5905–5910CrossRefGoogle Scholar
  9. 9.
    Hogan WW (1975) Energy policy models for project independence. Comput Oper Res 2:251–271CrossRefGoogle Scholar
  10. 10.
    Murphy FH, Conti JJ, Shaw SH, Sanders R (1988) Modeling and forecasting energy markets with the intermediate future forecasting system. Oper Res 36(3):406–420CrossRefGoogle Scholar
  11. 11.
    Energy Information Administration (2003) The national energy modeling system: an overview. U.S. Department of Energy, Washington, DCGoogle Scholar
  12. 12.
    Quelhas A, Gil E, McCalley JD, Ryan SM (2007) A multiperiod generalized network flow model of the U.S. Integrated energy system: part I – model description. IEEE Trans Power Syst 22(2):829–836CrossRefGoogle Scholar
  13. 13.
    Quelhas A, Gil E, McCalley JD (2007) A multiperiod generalized network flow model of the U.S. Integrated energy system: part II – simulation results. IEEE Trans Power Syst 22(2):837–844CrossRefGoogle Scholar
  14. 14.
    Wang Y, Ryan SM (2010) Effects of uncertain fuel costs on optimal energy flows in the U.S. Energy Syst 1:209–243CrossRefGoogle Scholar
  15. 15.
    Liu Z, Nagurney A (2009) An integrated electric power supply chain and fuel market network framework: theoretical modeling with empirical analysis for New England. Nav Res Log 56(7):600–624MathSciNetzbMATHCrossRefGoogle Scholar
  16. 16.
    Ryan SM, Downward A, Philpott AB, Zakeri G (2010) Welfare effects of expansions in equilibrium models of an electricity market with fuel network. IEEE Trans Power Syst 25(3):1337–1349CrossRefGoogle Scholar
  17. 17.
    Ryan SM (2009) Market outcomes in a congested electricity system with fuel supply network. In: IEEE Power Engineering Society General Meeting, CalgaryGoogle Scholar
  18. 18.
    Ryan SM (2009) Demand price sensitivity and market power on a congested fuel and electricity network. In: IEEE Power & Energy Society General Meeting, Minneapolis, 25–29 July 2010Google Scholar
  19. 19.
    Freme F (2010) U.S. coal supply and demand: 2009 review (trans: Administration EI). U.S. Department of Energy, Washington, DCGoogle Scholar
  20. 20.
    U. S. Energy Information Administration Coal transportation information. http://www.eia.doe.gov/cneaf/coal/ctrdb/ctrdb.html. Accessed Jul 2010
  21. 21.
    U.S. Energy Information Administration (2006) Coal production in the United States – an historical overview. U.S. Department of Energy, Washington, DCGoogle Scholar
  22. 22.
    Joskow PL (1987) Contract duration and relationship-specific investments: empirical evidence from coal markets. Am Econ Rev 77(1):168–185Google Scholar
  23. 23.
    Joskow PL (1988) Price adjustments in long-term contracts: the case of coal. J Law Econ 31:47–83CrossRefGoogle Scholar
  24. 24.
    Joskow PL (1990) The performance of long-term contracts: further evidence from coal markets. Rand J Econ 21(2):251–274CrossRefGoogle Scholar
  25. 25.
    MacDonald JM (1994) Transactions costs and the governance of coal supply and transportation agreements. J Transp Res Forum 34(1):63–74Google Scholar
  26. 26.
    Dennis SM (1999) Using spatial equilibrium models to analyze transportation rates: an application to steam coal in the United States. Transp Res Part E 35:145–154CrossRefGoogle Scholar
  27. 27.
    Bienstock D, Shapiro JF (1988) Optimizing resource acquisition decisions by stochastic programming. Manage Sci 34(2):215–229CrossRefGoogle Scholar
  28. 28.
    Energy Information Administration (2010) Annual energy outlook 2010. Energy Information Administration, Washington, DCGoogle Scholar
  29. 29.
    O’Neill RP, Williard M, Wilkins B, Pike R (1979) A mathematical programming model for allocation of natural gas. Oper Res 27(5):857–873zbMATHCrossRefGoogle Scholar
  30. 30.
    De Wolf D, Smeers Y (2000) The gas transmission problem solved by an extension of the simplex algorithm. Manage Sci 46(11):1454–1465zbMATHCrossRefGoogle Scholar
  31. 31.
    De Wolf D, Smeers Y (1996) Optimal dimensioning of pipe networks with application to gas transmission networks. Oper Res 44(4):596–608zbMATHCrossRefGoogle Scholar
  32. 32.
    Ríos-Mercado RZ, Wu S, Scott LR, Body EA (2002) A reduction technique for natural gas transmission network optimization problems. Annals Oper Res 117:217–234zbMATHCrossRefGoogle Scholar
  33. 33.
    Martin A, Möller M, Moritz S (2006) Mixed integer models for the stationary case of gas network optimization. Math Program 105:563–582MathSciNetzbMATHCrossRefGoogle Scholar
  34. 34.
    Chebouba A, Yalaoui F, Smati A, Amodeo L, Younsi K, Tairi A (2009) Optimization of natural gas pipeline transportation using ant colony optimization. Comput Oper Res 36:1916–1923zbMATHCrossRefGoogle Scholar
  35. 35.
    Andre J, Bonnans F, Cornibert L (2009) Optimization of capacity expansion planning for gas transportation networks. Eur J Oper Res 197:1019–1027MathSciNetzbMATHCrossRefGoogle Scholar
  36. 36.
    Djebedjian B, Shahin I, El-Naggar M (2008) Gas distribution network optimization by genetic algorithm. In: Ninth International Congress of Fluid Dynamics & Propulsion, Alexandria, 2008Google Scholar
  37. 37.
    Steinbach MC (2007) On PDE solution in transient optimization of gas networks. J Comput Appl Math 203:345–361MathSciNetzbMATHCrossRefGoogle Scholar
  38. 38.
    Midthun KT, Bjorndal M, Tomasgard A (2009) Modeling optimal economic dispatch and system effects in natural gas networks. Energy J 30(4):155–180CrossRefGoogle Scholar
  39. 39.
    Guldmann J-M (1983) Supply, storage, and service reliability decisions by gas distribution utilities: a chance-constrained approach. Manage Sci 29(8):884–906CrossRefGoogle Scholar
  40. 40.
    Energy Information Administration (2009) Major legislative and regulatory actions (1935–2008). http://www.eia.doe.gov/oil_gas/natural_gas/analysis_publications/ngmajorleg/ngmajorleg.html. Accessed Sep 2010
  41. 41.
    Duann DJ (1991) Direct gas purchases by local distribution companies: supply reliability and cost implications. J Energy Dev 15(1):61–91Google Scholar
  42. 42.
    Guldmann J-M, Wang F (1999) Optimizing the natural gas supply mix of local distribution utilities. Eur J Oper Res 112:598–612zbMATHCrossRefGoogle Scholar
  43. 43.
    Avery W, Brown GG, Rosenkranz JA, Wood RK (1992) Optimization of purchase, storage and transmission contracts for natural gas utilities. Oper Res 40(3):446–462CrossRefGoogle Scholar
  44. 44.
    Bopp AE, Kannan VR, Palocsay SW, Stevens SP (1996) An optimization model for planning natural gas purchases, transportation, storage and deliverability. Omega 24(5):511–522CrossRefGoogle Scholar
  45. 45.
    Butler JC, Dyer JS (1999) Optimizing natural gas flows with linear programming and scenarios. Decis Sci 30(2):563–580CrossRefGoogle Scholar
  46. 46.
    Contesse L, Ferrer JC, Maturana S (2005) A mixed-integer programming model for gas purchase and transportation. Annals Oper Res 139:39–63MathSciNetzbMATHCrossRefGoogle Scholar
  47. 47.
    Gabriel SA, Kiet S, Zhuang J (2005) A mixed complementarity-based equilibrium model of natural gas markets. Oper Res 53(5):799–818MathSciNetzbMATHCrossRefGoogle Scholar
  48. 48.
    Gabriel S, Smeers Y (2006) Complementarity problems in restructured natural gas markets. In: Seeger A (ed) Recent advances in optimization, Lecture notes in economics and mathematical systems. Springer, Berlin, pp 343–373zbMATHCrossRefGoogle Scholar
  49. 49.
    Lise W, Hobbs BF (2009) A dynamic simulation of market power in the liberalised European natural gas market. Energy J 46(Special Issue):119–135Google Scholar
  50. 50.
    Shahidehpour M, Fu Y, Wiedman T (2005) Impact of natural gas infrastructure on electric power systems. Proc IEEE 93(5):1042–1056CrossRefGoogle Scholar
  51. 51.
    Li T, Eremia M, Shahidehpour M (2008) Interdependency of natural gas network and power system security. IEEE Trans Power Syst 23(4):1817–1824CrossRefGoogle Scholar
  52. 52.
    Liu C, Shahidehpour M, Fu Y, Li Z (2009) Security-constrained unit commitment with natural gas transmission constraints. IEEE Trans Power Syst 24(3):1523–1536CrossRefGoogle Scholar
  53. 53.
    Takriti S, Krasenbrink B, Wu LS-Y (2000) Incorporating fuel constraints and electricity spot prices into the stochastic unit commitment problem. Oper Res 48(2):268–280CrossRefGoogle Scholar
  54. 54.
    Takriti S, Supatgiat C, Wu LS-Y (2002) Coordinating fuel inventory and electric power generation under uncertainty. IEEE Trans Power Syst 17(1):13–18CrossRefGoogle Scholar
  55. 55.
    Chen H, Baldick R (2007) Optimizing short-term natural gas supply portfolio for electric utility companies. IEEE Trans Power Syst 22(1):232–239CrossRefGoogle Scholar
  56. 56.
    Geidl M, Andersson G (2007) Optimal power flow of multiple energy carriers. IEEE Trans Power Syst 22(1):145–155CrossRefGoogle Scholar
  57. 57.
    Thomas S, Dawe RA (2003) Review of ways to transport natural gas energy from countries which do not need the gas for domestic use. Energy Convers Manage 28:1461–1477Google Scholar
  58. 58.
    Kuwahara N, Bajay SV, Castro LN (2000) Liquefied natural gas supply optimisation. Energy Convers Manage 41:153–161CrossRefGoogle Scholar
  59. 59.
    Jaramillo P, Griffin WM, Matthews HS (2007) Comparative life-cycle air emissions of coal, domestic natural gas, LNG, and SNG for electricity generation. Environ Sci Technol 41(17):6290–6296CrossRefGoogle Scholar
  60. 60.
    Cayrade P (2004) Investments in gas pipelines and liquefied natural gas infrastructure. What is the impact on the security of supply. The Fondazione Eni Enrico Mattei Note di Lavoro Series. Fondazione Eni Enrico MatteiGoogle Scholar
  61. 61.
    BP (2010) BP statistical review of world energyGoogle Scholar
  62. 62.
    Zheng QP, Pardalos PM (2010) Stochastic and risk management models and solution algorithm for natural gas transmission network expansion and LNG terminal location planning. J Optim Theory Appl 147:337–357MathSciNetzbMATHCrossRefGoogle Scholar
  63. 63.
    Haq Z (2002) Biomass for electricity generation. Energy Information Administration, Washington, DCGoogle Scholar
  64. 64.
    Dornburg V, Faaij APC (2001) Efficiency and economy of wood-fired biomass energy systems in relation to scale regarding heat and power generation using combustion and gasification technologies. Biomass and Bioenergy 21:91–108CrossRefGoogle Scholar
  65. 65.
    Caputo AC, Palumbo M, Pelagagge PM, Scacchia F (2005) Economics of biomass energy utilization in combustion and gasification plants: effects of logistic variables. Biomass and Bioenergy 28:35–51CrossRefGoogle Scholar
  66. 66.
    Sims REH, Rogner H-H, Gregory K (2003) Carbon emission and mitigation cost comparisons between fossil fuel, nuclear and renewable energy cost resources for electricity generation. Energy Policy 31:1315–1326CrossRefGoogle Scholar
  67. 67.
    Gan J, Smith CT (2006) A comparative analysis of woody biomass and coal for electricity generation under various CO2 emission reductions and taxes. Biomass and Bioenergy 30:296–303CrossRefGoogle Scholar
  68. 68.
    Energy Information Administration (2007) Energy and economic impacts of implementing both a 25-percent renewable portfolio standard and a 25-percent renewable fuel standard by 2025. Energy Information Administration, Washington, DCGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Iowa State UniversityAmesUSA

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