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Carbon emission reduction targeting through process integration and fuel switching with mathematical modeling

Author

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  • Tiew, B.J.
  • Shuhaimi, M.
  • Hashim, H.

Abstract

Carbon emission reduction targeting is an important and effective effort for industry to contribute in controlling greenhouse gases concentration in atmosphere. Graphical approach has been proposed for CO2 emissions reduction targeting via HEN retrofit and fuel switching. However, it involves potentially time consuming manual procedures and the quality of solutions produced greatly depends on designer’s experience and judgment. Besides, graphical approach hardly account for the cost factor during the design phase, thus potentially generate complex design. This paper introduces an MINLP model for simultaneous CO2 emissions reduction targeting via fuel switching and HEN retrofit. A sequential model execution was proposed along with the proposed model. The application of the model on a crude preheat train case study has demonstrated its workability to generate optimal solution for targeted CO2 emissions reduction at minimum payback period.

Suggested Citation

  • Tiew, B.J. & Shuhaimi, M. & Hashim, H., 2012. "Carbon emission reduction targeting through process integration and fuel switching with mathematical modeling," Applied Energy, Elsevier, vol. 92(C), pages 686-693.
    • Handle: RePEc:eee:appene:v:92:y:2012:i:c:p:686-693
    DOI: 10.1016/j.apenergy.2011.07.048
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    References listed on IDEAS

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    1. Mahmoud, A. & Shuhaimi, M. & Abdel Samed, M., 2009. "A combined process integration and fuel switching strategy for emissions reduction in chemical process plants," Energy, Elsevier, vol. 34(2), pages 190-195.
    2. Panjeshahi, Mohammad Hassan & Tahouni, Nassim, 2008. "Pressure drop optimisation in debottlenecking of heat exchanger networks," Energy, Elsevier, vol. 33(6), pages 942-951.
    3. Nadim Ahmad & Andrew Wyckoff, 2003. "Carbon Dioxide Emissions Embodied in International Trade of Goods," OECD Science, Technology and Industry Working Papers 2003/15, OECD Publishing.
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    Cited by:

    1. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei, 2013. "The impacts of carbon tax on energy intensity and economic growth – A dynamic evolution analysis on the case of China," Applied Energy, Elsevier, vol. 110(C), pages 17-28.
    2. Dong, Ruifeng & Yu, Yunsong & Zhang, Zaoxiao, 2014. "Simultaneous optimization of integrated heat, mass and pressure exchange network using exergoeconomic method," Applied Energy, Elsevier, vol. 136(C), pages 1098-1109.
    3. Luo, Xianglong & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2012. "Heat integration of regenerative Rankine cycle and process surplus heat through graphical targeting and mathematical modeling technique," Energy, Elsevier, vol. 45(1), pages 556-569.
    4. Zhang, Nan & Smith, Robin & Bulatov, Igor & Klemeš, Jiří Jaromír, 2013. "Sustaining high energy efficiency in existing processes with advanced process integration technology," Applied Energy, Elsevier, vol. 101(C), pages 26-32.

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