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Energy and carbon dioxide intensity of Thailand's steel industry and greenhouse gas emission projection toward the year 2050

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  • Juntueng, Sirintip
  • Towprayoon, Sirintornthep
  • Chiarakorn, Siriluk

Abstract

The purpose of this article is to study the energy and carbon dioxide intensities of Thailand's steel industry and to propose greenhouse gas emission trends from the year 2011 to 2050 under plausible scenarios. The amount of CO2 emission from iron and steel production was calculated using the 2006 Intergovernmental Panel on Climate Change (IPCC) guidelines in the boundary of production process (gate to gate). The results showed that energy intensity of semi-finished steel product was 2.84GJ/t semi-finished steel and CO2 intensity was 0.37tCO2eq/t semi-finished steel. Energy intensity of steel finishing process was 1.86GJ/t finished steel and CO2 intensity was 0.16tCO2eq/t finished steel. Using three plausible scenarios from Thailand's steel industry, S1: without integrated steel plant (baseline scenario), S2: with a traditional integrated BF–BOF route and S3: with an alternative integrated DR-EAF route; the Greenhouse Gas emissions from the year 2011 to 2050 were projected. In 2050, the CO2 emission from S1 (baseline scenario) was 4.84 million tonnes, S2 was 21.96 million tonnes increasing 4.54 times from baseline scenario. The CO2 emission from S3 was 7.12 million tonnes increasing 1.47 times from baseline scenario.

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  • Juntueng, Sirintip & Towprayoon, Sirintornthep & Chiarakorn, Siriluk, 2014. "Energy and carbon dioxide intensity of Thailand's steel industry and greenhouse gas emission projection toward the year 2050," Resources, Conservation & Recycling, Elsevier, vol. 87(C), pages 46-56.
  • Handle: RePEc:eee:recore:v:87:y:2014:i:c:p:46-56
    DOI: 10.1016/j.resconrec.2014.03.014
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    1. Lin, Boqiang & Wu, Ya & Zhang, Li, 2011. "Estimates of the potential for energy conservation in the Chinese steel industry," Energy Policy, Elsevier, vol. 39(6), pages 3680-3689, June.
    2. Hidalgo, Ignacio & Szabo, Laszlo & Carlos Ciscar, Juan & Soria, Antonio, 2005. "Technological prospects and CO2 emission trading analyses in the iron and steel industry: A global model," Energy, Elsevier, vol. 30(5), pages 583-610.
    3. Cai, Wenjia & Wang, Can & Wang, Ke & Zhang, Ying & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's electricity sector," Energy Policy, Elsevier, vol. 35(12), pages 6445-6456, December.
    4. Oda, Junichiro & Akimoto, Keigo & Tomoda, Toshimasa & Nagashima, Miyuki & Wada, Kenichi & Sano, Fuminori, 2012. "International comparisons of energy efficiency in power, steel, and cement industries," Energy Policy, Elsevier, vol. 44(C), pages 118-129.
    5. Kirschen, Marcus & Risonarta, Victor & Pfeifer, Herbert, 2009. "Energy efficiency and the influence of gas burners to the energy related carbon dioxide emissions of electric arc furnaces in steel industry," Energy, Elsevier, vol. 34(9), pages 1065-1072.
    6. Wang, Ke & Wang, Can & Lu, Xuedu & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's iron and steel industry," Energy Policy, Elsevier, vol. 35(4), pages 2320-2335, April.
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    5. Harvey, L.D. Danny, 2024. "A bottom-up assessment of recent (2016–20) energy use by the global iron and steel industry constrained to match a top-down (International Energy Agency) assessment," Energy, Elsevier, vol. 293(C).

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