IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v153y2018icp231-247.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218306364
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.04.032?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Thomas B. Johansson & Nebojsa Nakicenovic, 2012. "The Global Energy Assessment," Review of Environment, Energy and Economics - Re3, Fondazione Eni Enrico Mattei, October.
    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. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Moglianesi, Andrea & Keppo, Ilkka & Lerede, Daniele & Savoldi, Laura, 2023. "Role of technology learning in the decarbonization of the iron and steel sector: An energy system approach using a global-scale optimization model," Energy, Elsevier, vol. 274(C).
    2. 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).
    3. Zhao, Shujie & Song, Qingbin & Zhao, Dongfeng & Wang, Yongqiang, 2023. "Identifying the spatiotemporal carbon footprint of the petroleum refining industry and its mitigation potential in China," Energy, Elsevier, vol. 284(C).
    4. Yang, Dewei & Liu, Dandan & Huang, Anmin & Lin, Jianyi & Xu, Lingxing, 2021. "Critical transformation pathways and socio-environmental benefits of energy substitution using a LEAP scenario modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    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. 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.
    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Broeren, M.L.M. & Saygin, D. & Patel, M.K., 2014. "Forecasting global developments in the basic chemical industry for environmental policy analysis," Energy Policy, Elsevier, vol. 64(C), pages 273-287.
    3. Tian, Jinping & Shi, Han & Li, Xing & Chen, Lujun, 2012. "Measures and potentials of energy-saving in a Chinese fine chemical industrial park," Energy, Elsevier, vol. 46(1), pages 459-470.
    4. Aste, Niccolò & Adhikari, R.S. & Manfren, Massimiliano, 2013. "Cost optimal analysis of heat pump technology adoption in residential reference buildings," Renewable Energy, Elsevier, vol. 60(C), pages 615-624.
    5. Schwob, Marcelo Rousseau Valença & Henriques Jr., Maurício & Szklo, Alexandre, 2009. "Technical potential for developing natural gas use in the Brazilian red ceramic industry," Applied Energy, Elsevier, vol. 86(9), pages 1524-1531, September.
    6. Vaillancourt, Kathleen & Bahn, Olivier & Frenette, Erik & Sigvaldason, Oskar, 2017. "Exploring deep decarbonization pathways to 2050 for Canada using an optimization energy model framework," Applied Energy, Elsevier, vol. 195(C), pages 774-785.
    7. Xu, Zhongming & Fang, Chenhao & Ma, Tieju, 2020. "Analysis of China’s olefin industry using a system optimization model considering technological learning and energy consumption reduction," Energy, Elsevier, vol. 191(C).
    8. Zhu, Qun-Xiong & Zhang, Chen & He, Yan-Lin & Xu, Yuan, 2018. "Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry," Applied Energy, Elsevier, vol. 213(C), pages 322-333.
    9. May, Gökan & Stahl, Bojan & Taisch, Marco, 2016. "Energy management in manufacturing: Toward eco-factories of the future – A focus group study," Applied Energy, Elsevier, vol. 164(C), pages 628-638.
    10. Han, Yongming & Wu, Hao & Geng, Zhiqiang & Zhu, Qunxiong & Gu, Xiangbai & Yu, Bin, 2020. "Review: Energy efficiency evaluation of complex petrochemical industries," Energy, Elsevier, vol. 203(C).
    11. Liu, Xiaoyu & Chen, Dingjiang & Zhang, Wenjun & Qin, Weizhong & Zhou, Wenji & Qiu, Tong & Zhu, Bing, 2013. "An assessment of the energy-saving potential in China's petroleum refining industry from a technical perspective," Energy, Elsevier, vol. 59(C), pages 38-49.
    12. Zendehboudi, Sohrab & Rezaei, Nima & Lohi, Ali, 2018. "Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review," Applied Energy, Elsevier, vol. 228(C), pages 2539-2566.
    13. Saygin, D. & Worrell, E. & Patel, M.K. & Gielen, D.J., 2011. "Benchmarking the energy use of energy-intensive industries in industrialized and in developing countries," Energy, Elsevier, vol. 36(11), pages 6661-6673.
    14. Jalid, Fatima & Khan, Tuhin Suvra & Haider, M. Ali, 2021. "Exploring bimetallic alloy catalysts of Co, Pd and Cu for CO2 reduction combined with ethane dehydrogenation," Applied Energy, Elsevier, vol. 299(C).
    15. Maaouane, Mohamed & Zouggar, Smail & Krajačić, Goran & Zahboune, Hassan, 2021. "Modelling industry energy demand using multiple linear regression analysis based on consumed quantity of goods," Energy, Elsevier, vol. 225(C).
    16. Ren, Tao & Patel, Martin K., 2009. "Basic petrochemicals from natural gas, coal and biomass: Energy use and CO2 emissions," Resources, Conservation & Recycling, Elsevier, vol. 53(9), pages 513-528.
    17. Blanco, Herib & Gómez Vilchez, Jonatan J. & Nijs, Wouter & Thiel, Christian & Faaij, André, 2019. "Soft-linking of a behavioral model for transport with energy system cost optimization applied to hydrogen in EU," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    18. Paoli, Leonardo & Lupton, Richard C. & Cullen, Jonathan M., 2018. "Useful energy balance for the UK: An uncertainty analysis," Applied Energy, Elsevier, vol. 228(C), pages 176-188.
    19. Mirjat, Nayyar Hussain & Uqaili, Mohammad Aslam & Harijan, Khanji & Valasai, Gordhan Das & Shaikh, Faheemullah & Waris, M., 2017. "A review of energy and power planning and policies of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 110-127.
    20. Ren, Tao & Daniëls, Bert & Patel, Martin K. & Blok, Kornelis, 2009. "Petrochemicals from oil, natural gas, coal and biomass: Production costs in 2030–2050," Resources, Conservation & Recycling, Elsevier, vol. 53(12), pages 653-663.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:153:y:2018:i:c:p:231-247. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.