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Energy and material flow models for the US steel industry

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  • Andersen, Jan Peter
  • Hyman, Barry

Abstract

We develop calibrated models of energy and material consumption patterns in the US steel industry, starting with an energy end-use model based on 1994 Manufacturing Energy Consumption Survey (MECS) data. Then process-step models of material and energy use are developed and calibrated against the energy end-use model and data from the US Commerce Department and the American Iron and Steel Institute. These models can serve as benchmarks for current steelmaking operations and as base cases for simulating changes in steelmaking energy utilization and waste streams spurred by economics, regulations, or technology innovations.

Suggested Citation

  • Andersen, Jan Peter & Hyman, Barry, 2001. "Energy and material flow models for the US steel industry," Energy, Elsevier, vol. 26(2), pages 137-159.
    • Handle: RePEc:eee:energy:v:26:y:2001:i:2:p:137-159
    DOI: 10.1016/S0360-5442(00)00053-0
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    References listed on IDEAS

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    1. Giraldo, Luis & Hyman, Barry, 1995. "Energy end-use models for pulp, paper, and paperboard mills," Energy, Elsevier, vol. 20(10), pages 1005-1019.
    2. Hyman, Barry & Reed, Tracy, 1995. "Energy intensity of manufacturing processes," Energy, Elsevier, vol. 20(7), pages 593-606.
    3. Giraldo, Luis & Hyman, Barry, 1996. "An energy process-step model for manufacturing paper and paperboard," Energy, Elsevier, vol. 21(7), pages 667-681.
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    Cited by:

    1. Hong, Gui-Bing & Ma, Chih-Ming & Chen, Hua-Wei & Chuang, Kai-Jen & Chang, Chang-Tang & Su, Te-Li, 2011. "Energy flow analysis in pulp and paper industry," Energy, Elsevier, vol. 36(5), pages 3063-3068.
    2. Zhijun Feng & Wen Zhou & Qian Ming, 2019. "Embodied Energy Flow Patterns of the Internal and External Industries of Manufacturing in China," Sustainability, MDPI, vol. 11(2), pages 1-24, January.
    3. Fumin Ma & Gregory M. P. O’Hare & Tengfei Zhang & Michael J. O’Grady, 2015. "Model Property Based Material Balance and Energy Conservation Analysis for Process Industry Energy Transfer Systems," Energies, MDPI, vol. 8(10), pages 1-21, October.
    4. Hasanbeigi, Ali & Arens, Marlene & Cardenas, Jose Carlos Rojas & Price, Lynn & Triolo, Ryan, 2016. "Comparison of carbon dioxide emissions intensity of steel production in China, Germany, Mexico, and the United States," Resources, Conservation & Recycling, Elsevier, vol. 113(C), pages 127-139.
    5. Sreekanth, K.J., 2016. "Review on integrated strategies for energy policy planning and evaluation of GHG mitigation alternatives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 837-850.
    6. Ozalp, Nesrin & Hyman, Barry, 2007. "Allocation of energy inputs among the end-uses in the US petroleum and coal products industry," Energy, Elsevier, vol. 32(8), pages 1460-1470.
    7. Wang, Chunyan & Wang, Ranran & Hertwich, Edgar & Liu, Yi, 2017. "A technology-based analysis of the water-energy-emission nexus of China’s steel industry," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 116-128.
    8. 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.
    9. Chen, Hua-Wei & Hsu, Chung-Hsuan & Hong, Gui-Bing, 2012. "The case study of energy flow analysis and strategy in pulp and paper industry," Energy Policy, Elsevier, vol. 43(C), pages 448-455.
    10. Liu, Liru & Aye, Lu & Lu, Zhongwu & Zhang, Peihong, 2006. "Effect of material flows on energy intensity in process industries," Energy, Elsevier, vol. 31(12), pages 1870-1882.
    11. Chen, Demin & Li, Jiaqi & Wang, Zhao & Lu, Biao & Chen, Guang, 2022. "Hierarchical model to find the path reducing CO2 emissions of integrated iron and steel production," Energy, Elsevier, vol. 258(C).

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