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Assessment of CO2 emissions and its reduction potential in the Korean petroleum refining industry using energy-environment models

Author

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  • Park, Sangwon
  • Lee, Seungmoon
  • Jeong, Suk Jae
  • Song, Ho-Jun
  • Park, Jin-Won

Abstract

We assessed potential future CO2 reduction in the Korean petroleum refining industry by investigating five new technologies for energy savings and CO2 mitigation using a hybrid SD-LEAP model: crude oil distillation units (CDU), vacuum distillation units (VDU), light gas-oil hydro-desulfurization units (LGO HDS), and the vacuum residue hydro-desulfurization (VR HDS) process. The current and future demand for refining industry products in Korea was estimated using the SD model. The required crude oil input amounts are expected to increase from 139 million tons in 2008 to 154 million tons in 2030 in the baseline scenario. The current and future productivity of the petroleum refining industry was predicted, and this prediction was substituted into the LEAP model which analyzed energy consumption and CO2 emissions from the refining processes in the BAU scenario. We expect that new technology and alternative scenarios will reduce CO2 emissions by 0.048% and 0.065% in the national and industrial sectors, respectively.

Suggested Citation

  • Park, Sangwon & Lee, Seungmoon & Jeong, Suk Jae & Song, Ho-Jun & Park, Jin-Won, 2010. "Assessment of CO2 emissions and its reduction potential in the Korean petroleum refining industry using energy-environment models," Energy, Elsevier, vol. 35(6), pages 2419-2429.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:6:p:2419-2429
    DOI: 10.1016/j.energy.2010.02.026
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    References listed on IDEAS

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    Cited by:

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    3. Prasad, Ravita D. & Bansal, R.C. & Raturi, Atul, 2014. "Multi-faceted energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 686-699.
    4. Ates, Seyithan A., 2015. "Energy efficiency and CO2 mitigation potential of the Turkish iron and steel industry using the LEAP (long-range energy alternatives planning) system," Energy, Elsevier, vol. 90(P1), pages 417-428.
    5. 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.
    6. Nadiia Charkovska & Mariia Halushchak & Rostyslav Bun & Zbigniew Nahorski & Tomohiro Oda & Matthias Jonas & Petro Topylko, 2019. "A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 907-939, August.
    7. Li, Fujia & Dong, Suocheng & Li, Zehong & Li, Yu & Li, Shantong & Wan, Yongkun, 2012. "The improvement of CO2 emission reduction policies based on system dynamics method in traditional industrial region with large CO2 emission," Energy Policy, Elsevier, vol. 51(C), pages 683-695.
    8. Liu, Zhen & Lieu, Jenny & Zhang, Xiliang, 2014. "The target decomposition model for renewable energy based on technological progress and environmental value," Energy Policy, Elsevier, vol. 68(C), pages 70-79.

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