A mathematical programming approach to reducing carbon dioxide emissions in the petroleum refning industry

Noura Al Dbaberi, Ali Diabat

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    While fossil fuels supplied around 90% of the developed world's energy in 2008, the resulting CO2 emissions took a tremendous toll on the environment. As power plants, factories, and oil refineries are the largest CO2 emitters, it is vital to fmd greener ways to extract, refme and utilize fossil fuels. In this paper, we introduce a nonlinear mixed-integer programming model which is intended to help decision makers evaluate the operational cost of different alternatives for reducing CO2 emissions at petroleum refmeries such as powering the refineries using renewable energy sources. To validate our model, we solve several small-size instances of the problem using the BARON solver in GAMS.

    Original languageEnglish (US)
    Title of host publication2010 2nd International Conference on Engineering System Management and Applications, ICESMA 2010
    Publication statusPublished - Sep 20 2010
    Event2010 2nd International Conference on Engineering System Management and Applications, ICESMA 2010 - Sharjah, United Arab Emirates
    Duration: Mar 30 2010Apr 1 2010

    Other

    Other2010 2nd International Conference on Engineering System Management and Applications, ICESMA 2010
    CountryUnited Arab Emirates
    CitySharjah
    Period3/30/104/1/10

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    Keywords

    • Carbon emissions
    • Nonlinear programming
    • Oil refinery
    • Renewable energy

    ASJC Scopus subject areas

    • Information Systems

    Cite this

    Dbaberi, N. A., & Diabat, A. (2010). A mathematical programming approach to reducing carbon dioxide emissions in the petroleum refning industry. In 2010 2nd International Conference on Engineering System Management and Applications, ICESMA 2010 [5542692]