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Technical and economic potential of highly efficient boiler technologies in the Korean industrial sector

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  • Park, Nyun-Bae
  • Park, Sang Yong
  • Kim, Jong-Jin
  • Choi, Dong Gu
  • Yun, Bo Yeong
  • Hong, Jong Chul

Abstract

Energy saving potential and carbon dioxide (CO2) reduction potential of boiler technologies in the Korean industrial sector up to 2035 were analyzed using The Integrated MARKAL-EFOM System (TIMES) model based on bottom-up optimization. Final energy consumption by industrial indirect heating boilers in 2013 accounts for 7% of Korea's industrial energy consumption and 8% of the manufacturing sector's consumption. Energy consumption of industrial indirect heating boilers is expected to increase about 25% in the baseline scenario between 2013 and 2035. Technical potential against the baseline scenario by deploying only the most efficient technologies in new installation demand is 7.9% for energy saving and 20.7% for CO2 reduction by 2035. The most efficient technologies by boiler technology types were gas-fired super boilers. Economic potential against the baseline scenario through market competition between existing and high efficient technologies is 5.6% for energy saving and 6.1% for CO2 reduction by 2035. CO2 reduction potential is higher than energy-saving potential because fuel substitution toward gas was added to the energy-saving effect due to efficiency improvement. Research and development, information disclosure, regulation, and incentives for high-efficiency boiler technologies are necessary to realize technical potential as well as economic potential in industrial indirect heating.

Suggested Citation

  • Park, Nyun-Bae & Park, Sang Yong & Kim, Jong-Jin & Choi, Dong Gu & Yun, Bo Yeong & Hong, Jong Chul, 2017. "Technical and economic potential of highly efficient boiler technologies in the Korean industrial sector," Energy, Elsevier, vol. 121(C), pages 884-891.
    • Handle: RePEc:eee:energy:v:121:y:2017:i:c:p:884-891
    DOI: 10.1016/j.energy.2017.01.022
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    3. Majidi, Majid & Nojavan, Sayyad & Zare, Kazem, 2017. "A cost-emission framework for hub energy system under demand response program," Energy, Elsevier, vol. 134(C), pages 157-166.
    4. Wang, Yihan & Chen, Chen & Tao, Yuan & Wen, Zongguo & Chen, Bin & Zhang, Hong, 2019. "A many-objective optimization of industrial environmental management using NSGA-III: A case of China’s iron and steel industry," Applied Energy, Elsevier, vol. 242(C), pages 46-56.

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