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Assessment of the impacts of process-level energy efficiency improvement on greenhouse gas mitigation potential in the petroleum refining sector

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  • Talaei, Alireza
  • Oni, Abayomi Olufemi
  • Ahiduzzaman, Mohammed
  • Roychaudhuri, Pritam Sankar
  • Rutherford, Jeff
  • Kumar, Amit

Abstract

Process-level energy efficiency improvement is regarded as an effective technique for emissions reduction from the petroleum refining industry. Assessing the systems-level impacts of these energy efficiency improvements is crucial for effective long-term climate change policy- and decision-making. In this study, we developed a framework that integrates process simulation with integrated resource planning and techno-economic assessment techniques to evaluate long-term GHG mitigation potential in the refining sector. Detailed process simulations were done for eleven energy efficiency improvement measures in the refining sector. A case study was conducted for Alberta’s (a province in western Canada) refining sector to assess GHG emissions reduction potential and their implications for long-term climate change policy-making. The GHG mitigation scenarios considered time horizons to the years 2030 and 2050. The results show that compared to the reference scenario, integrating the energy efficiency options in the refining sector will result in cumulative emissions reduction of 5%. About 60% of the anticipated emissions reductions are economically attractive. The proposed framework is an effective tool for the evaluation of long-term refining sector GHG mitigation potential and can be used for decision-making and policy formulation at various levels.

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  • Talaei, Alireza & Oni, Abayomi Olufemi & Ahiduzzaman, Mohammed & Roychaudhuri, Pritam Sankar & Rutherford, Jeff & Kumar, Amit, 2020. "Assessment of the impacts of process-level energy efficiency improvement on greenhouse gas mitigation potential in the petroleum refining sector," Energy, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:energy:v:191:y:2020:i:c:s0360544219319383
    DOI: 10.1016/j.energy.2019.116243
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    1. Timmerman, Jonas & Vandevelde, Lieven & Van Eetvelde, Greet, 2014. "Towards low carbon business park energy systems: Classification of techno-economic energy models," Energy, Elsevier, vol. 75(C), pages 68-80.
    2. Talaei, Alireza & Ahiduzzaman, Md. & Kumar, Amit, 2018. "Assessment of long-term energy efficiency improvement and greenhouse gas emissions mitigation potentials in the chemical sector," Energy, Elsevier, vol. 153(C), pages 231-247.
    3. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    4. Sharaf Eldean, Mohamed A. & Soliman, A.M., 2017. "A novel study of using oil refinery plants waste gases for thermal desalination and electric power generation: Energy, exergy & cost evaluations," Applied Energy, Elsevier, vol. 195(C), pages 453-477.
    5. Doheim, M.A. & Sayed, S.A. & Hamed, O.A., 1986. "Energy analysis and waste heat recovery in a refinery," Energy, Elsevier, vol. 11(7), pages 691-696.
    6. Wang, Jingfan & O'Donnell, John & Brandt, Adam R., 2017. "Potential solar energy use in the global petroleum sector," Energy, Elsevier, vol. 118(C), pages 884-892.
    7. Talaei, Alireza & Pier, David & Iyer, Aishwarya V. & Ahiduzzaman, Md & Kumar, Amit, 2019. "Assessment of long-term energy efficiency improvement and greenhouse gas emissions mitigation options for the cement industry," Energy, Elsevier, vol. 170(C), pages 1051-1066.
    8. de Lima, Romulo S. & Schaeffer, Roberto, 2011. "The energy efficiency of crude oil refining in Brazil: A Brazilian refinery plant case," Energy, Elsevier, vol. 36(5), pages 3101-3112.
    9. Liu, X.G. & He, C. & He, C.C. & Chen, J.J. & Zhang, B.J. & Chen, Q.L., 2017. "A new retrofit approach to the absorption-stabilization process for improving energy efficiency in refineries," Energy, Elsevier, vol. 118(C), pages 1131-1145.
    10. Waheed, M.A. & Oni, A.O. & Adejuyigbe, S.B. & Adewumi, B.A. & Fadare, D.A., 2014. "Performance enhancement of vapor recompression heat pump," Applied Energy, Elsevier, vol. 114(C), pages 69-79.
    11. Subramanyam, Veena & Kumar, Amit & Talaei, Alireza & Mondal, Md. Alam Hossain, 2017. "Energy efficiency improvement opportunities and associated greenhouse gas abatement costs for the residential sector," Energy, Elsevier, vol. 118(C), pages 795-807.
    12. Tahouni, Nassim & Gholami, Majid & Panjeshahi, M. Hassan, 2016. "Integration of flare gas with fuel gas network in refineries," Energy, Elsevier, vol. 111(C), pages 82-91.
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    5. Davis, M. & Okunlola, A. & Di Lullo, G. & Giwa, T. & Kumar, A., 2023. "Greenhouse gas reduction potential and cost-effectiveness of economy-wide hydrogen-natural gas blending for energy end uses," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    6. Haider, Minza & Davis, Matthew & Kumar, Amit, 2024. "Development of a framework to assess the greenhouse gas mitigation potential from the adoption of low-carbon road vehicles in a hydrocarbon-rich region," Applied Energy, Elsevier, vol. 358(C).
    7. Wang, Xipan & Song, Junnian & Xing, Jiahao & Duan, Haiyan & Wang, Xian'en, 2022. "System nexus consolidates coupling of regional water and energy efficiencies," Energy, Elsevier, vol. 256(C).

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