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Assessment of long-term energy efficiency improvement and greenhouse gas emissions mitigation potentials in the chemical sector

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  • Talaei, Alireza
  • Ahiduzzaman, Md.
  • Kumar, Amit

Abstract

The industrial sector accounts for more than one-third of global energy consumption and greenhouse gas (GHG) emissions. In the sector, the chemical industry makes up nearly 30% of global industrial energy consumption. In this study, a framework is developed to apply bottom-up energy modelling for analyzing energy efficiency improvement and GHG mitigation potential in the chemical sector. Also, techno-economic and policy analyses are used to analyze the applicability and economic performance of different mid- to long-term energy efficiency measures. The comprehensive, data-intensive, and technology-rich model is flexible and can be used to study the GHG mitigation potential in different regions. A case study was conducted for Alberta, one of the biggest industrial hubs in Canada, using the Long-range Energy Alternative Planning model. Twenty-eight GHG mitigation scenarios in the petrochemical and fertilizer industries (the two major chemical industry sub-sectors) were developed. The costs of implementing each mitigation measure were calculated and used to develop cost curves. The results suggest that cumulative mitigation potential from the chemical industry would be 7.1 and 29.7 megatonnes CO2 equivalent in the periods ending 2030 and 2050, respectively. We also found that more than 75% of the emissions reductions are achievable with negative cost.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:153:y:2018:i:c:p:231-247
    DOI: 10.1016/j.energy.2018.04.032
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    as
    1. 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.
    2. Saygin, D. & Patel, M.K. & Worrell, E. & Tam, C. & Gielen, D.J., 2011. "Potential of best practice technology to improve energy efficiency in the global chemical and petrochemical sector," Energy, Elsevier, vol. 36(9), pages 5779-5790.
    3. Geng, ZhiQiang & Qin, Lin & Han, YongMing & Zhu, QunXiong, 2017. "Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP," Energy, Elsevier, vol. 122(C), pages 350-362.
    4. Ren, Tao & Patel, Martin & Blok, Kornelis, 2006. "Olefins from conventional and heavy feedstocks: Energy use in steam cracking and alternative processes," Energy, Elsevier, vol. 31(4), pages 425-451.
    5. Ren, Tao & Patel, Martin K. & Blok, Kornelis, 2008. "Steam cracking and methane to olefins: Energy use, CO2 emissions and production costs," Energy, Elsevier, vol. 33(5), pages 817-833.
    6. McPherson, Madeleine & Karney, Bryan, 2014. "Long-term scenario alternatives and their implications: LEAP model application of Panama׳s electricity sector," Energy Policy, Elsevier, vol. 68(C), pages 146-157.
    7. Szklo, Alexandre Salem & Soares, Jeferson Borghetti & Tolmasquim, Mauricio Tiomno, 2004. "Economic potential of natural gas-fired cogeneration--analysis of Brazil's chemical industry," Energy Policy, Elsevier, vol. 32(12), pages 1415-1428, August.
    8. Tijun Fan & Ruiling Luo & Haiyang Xia & Xiaopeng Li, 2015. "Using LMDI method to analyze the influencing factors of carbon emissions in China’s petrochemical industries," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 319-332, February.
    9. Rafiqul, Islam & Weber, Christoph & Lehmann, Bianca & Voss, Alfred, 2005. "Energy efficiency improvements in ammonia production—perspectives and uncertainties," Energy, Elsevier, vol. 30(13), pages 2487-2504.
    10. Zhou, Wenji & Zhu, Bing & Li, Qiang & Ma, Tieju & Hu, Shanying & Griffy-Brown, Charla, 2010. "CO2 emissions and mitigation potential in China's ammonia industry," Energy Policy, Elsevier, vol. 38(7), pages 3701-3709, July.
    11. Yang, Christopher & Yeh, Sonia & Zakerinia, Saleh & Ramea, Kalai & McCollum, David, 2015. "Achieving California's 80% greenhouse gas reduction target in 2050: Technology, policy and scenario analysis using CA-TIMES energy economic systems model," Energy Policy, Elsevier, vol. 77(C), pages 118-130.
    12. Thomas B. Johansson & Nebojsa Nakicenovic, 2012. "The Global Energy Assessment," Review of Environment, Energy and Economics - Re3, Fondazione Eni Enrico Mattei, October.
    13. 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.
    14. Fleiter, Tobias & Worrell, Ernst & Eichhammer, Wolfgang, 2011. "Barriers to energy efficiency in industrial bottom-up energy demand models--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3099-3111, August.
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    7. Safarzadeh, Soroush & Rasti-Barzoki, Morteza & Hejazi, Seyed Reza, 2020. "A review of optimal energy policy instruments on industrial energy efficiency programs, rebound effects, and government policies," Energy Policy, Elsevier, vol. 139(C).

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