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The energy demand and the impact by fossil fuels use in the Mexico City Metropolitan Area, from 1988 to 2000

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  • Nava, M.
  • Gasca, J.
  • González, U.

Abstract

Temporary variation for the demand of refining products which are used in the Mexico City Metropolitan Area (MCMA) is presented. Its consequent energy contribution is evaluated from 1988 to 2000. The annual estimation was integrated from a detailed inventory of fuels volume, so as the calculus of its respective energy equivalence. The fuel quality specifications, which have been required by regional Air Quality authority for controlling emissions to the atmosphere, are also presented for the same period. The evolution demand of fuels, in term of volume, quality and its energy contribution for this area, is compared with the national demand. On this regard, fuel pool differs in each bound and the demand along the same period has been increasing on both regions but at different rates, with 21% at MCMA and 31% countrywide. In 2000, the MCMA demanded 14% of the internal refining products volume sales, which represented 17% of the energy contribution to the country for those fuels. Likewise, the energy use coefficient (GJ per capita) was applied to compare this region with country trends. During 1996 and up to 2000, the MCMA presented slightly minor energy use per capita, than the rest of the country, and this period was distinguished also for using cleaner fuels and for obtaining improvements in air quality. On the other hand, MCMA and country greenhouse gases emissions will increase because of their fossil fuel dependence, so several mitigation measures must be implemented in the next decades.

Suggested Citation

  • Nava, M. & Gasca, J. & González, U., 2006. "The energy demand and the impact by fossil fuels use in the Mexico City Metropolitan Area, from 1988 to 2000," Energy, Elsevier, vol. 31(15), pages 3381-3390.
    • Handle: RePEc:eee:energy:v:31:y:2006:i:15:p:3381-3390
    DOI: 10.1016/j.energy.2006.03.021
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    1. World Bank, 2002. "World Development Indicators 2002," World Bank Publications - Books, The World Bank Group, number 13921, December.
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    1. Assareh, E. & Behrang, M.A. & Assari, M.R. & Ghanbarzadeh, A., 2010. "Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran," Energy, Elsevier, vol. 35(12), pages 5223-5229.
    2. Bríd Gleeson Hanna & Alethia Jimenez Garcia, 2008. "Air pollution and unleaded gasoline in Mexico City," Economics Bulletin, AccessEcon, vol. 18(3), pages 1-13.
    3. repec:ebl:ecbull:v:18:y:2008:i:3:p:1-13 is not listed on IDEAS

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