Using forest area for carbon footprint analysis of typical steel enterprises in China

Abstract Steel industry is an important mainstay industry and key greenhouse gas emitter of China. Employing life cycle assessment method of cradle-to-gate and establishing material flow model for steel production processes, this paper analyzed carbon footprints of steel enterprises to reduce carbon emission efficiently. Taking the function of forest to capture carbon into account, carbon footprint was expressed as the forest area instead of carbon dioxide equivalent (CO 2 e). Taking five typical steel enterprises (J, A, T, N, B) in China as examples, the carbon footprint per ton of steel in each process was calculated and its influence factors were analyzed. Results show that (1) from the perspective of process, the carbon footprint of iron-making, in which a large amount of coke and coal is consumed, is the largest, followed by the process of coking and sintering; (2) analyzing the type of gas, CO 2 contributes over 70% of the total carbon footprint in the whole production process; (3) the average carbon footprint per ton of steel was 0.325 hm 2 /t. Among five companies, carbon footprints of company N were up to 0.342 hm 2 /t, while company B had the lowest carbon footprint, at only 0.291 hm2/t. The gaps of carbon footprint are mainly due to geographical differences, energy consumption construction and product equipment and technology. The carbon footprint of enterprises was compared with the local carbon capacity, and analysis results show that the steel output and local forest areas could be significant factors determining whether the carbon emissions discharged by steel mills exceed the local carbon capacity and cause environment problems. According to analysis results, corresponding opinions and policies were proposed.

[1]  X. Xue,et al.  Life-cycle carbon footprint analysis of magnesia products , 2017 .

[2]  Vanessa Gomes,et al.  Appropriateness of environmental impact distribution methods to model blast furnace slag recycling in cement making , 2015 .

[3]  Qinghua Zhu,et al.  An analysis of energy-related greenhouse gas emissions in the Chinese iron and steel industry , 2013 .

[4]  Tengfang Xu,et al.  Assessment of energy efficiency improvement and CO2 emission reduction potentials in India's cement and iron & steel industries , 2014 .

[5]  Tao He,et al.  Energy gases and related carbon emissions in China , 2016 .

[6]  Promtida Sodsai,et al.  The current situation on CO2 emissions from the steel industry in Thailand and mitigation options , 2012 .

[7]  Jose-Luis Galvez-Martos,et al.  An analysis of the use of life cycle assessment for waste co-incineration in cement kilns , 2014 .

[8]  Qinghua Zhu,et al.  Trajectory and driving factors for GHG emissions in the Chinese cement industry , 2013 .

[9]  Xiaomin Wu,et al.  Carbon footprint model for evaluating the global warming impact of food transport refrigeration systems , 2013 .

[10]  Qiang Yue,et al.  Forecast of steel demand and the availability of depreciated steel scrap in China , 2016 .

[11]  Zongguo Wen,et al.  Estimates of the potential for energy conservation and CO2 emissions mitigation based on Asian-Pacific Integrated Model (AIM): the case of the iron and steel industry in China , 2014 .

[12]  Xianbing Liu,et al.  A survey analysis of low carbon technology diffusion in China's iron & steel industry , 2016 .

[13]  Chengkang Gao,et al.  Analyzing and forecasting CO2 emission reduction in China’s steel industry , 2015, Frontiers of Earth Science.

[14]  Chengkang Gao,et al.  Resources saving and emissions reduction of the aluminum industry in China , 2015 .

[15]  Marco Vannucci,et al.  Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems – An example of application to the steel industry , 2013 .

[16]  Ali Abbas,et al.  Temporal multiscalar decision support framework for flexible operation of carbon capture plants targeting low-carbon management of power plant emissions , 2016 .

[17]  Can Wang,et al.  Scenario analysis on CO2 emissions reduction potential in China's iron and steel industry , 2007 .

[18]  Su-Yol Lee,et al.  Existing and anticipated technology strategies for reducing greenhouse gas emissions in Korea’s petrochemical and steel industries , 2013 .

[19]  Ian D. Williams,et al.  Greenhouse gas emission factors for recycling of source-segregated waste materials , 2015 .

[20]  Kanako Tanaka.  A comparison study of EU and Japan methods to assess CO2 emission reduction and energy saving in the iron and steel industry , 2012 .

[21]  S. Schneider,et al.  Climate Change 2007 Synthesis report , 2008 .

[22]  Raymond R. Tan,et al.  Effect of process parameters on hydrothermal liquefaction of oil palm biomass for bio-oil production and its life cycle assessment. , 2015 .

[23]  Bin Xu,et al.  Assessing CO2 emissions in China's iron and steel industry: A nonparametric additive regression approach , 2017 .

[24]  Boqiang Lin,et al.  Factors influencing renewable electricity consumption in China , 2016 .

[25]  Xavier Gabarrell,et al.  A life-cycle carbon footprint of Yosemite National Park , 2013 .

[26]  Zhaohua Wang,et al.  CO2 emission reduction within Chinese iron & steel industry: practices, determinants and performance , 2012 .

[27]  Bin Xu,et al.  Regional differences in the CO2 emissions of China's iron and steel industry: Regional heterogeneity , 2016 .

[28]  Deger Saygin,et al.  Long-term model-based projections of energy use and CO2 emissions from the global steel and cement industries , 2016 .

[29]  Jing Huang,et al.  Mitigation paths for Chinese iron and steel industry to tackle global climate change , 2009 .

[30]  Shaun S. Wang,et al.  Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach , 2013 .

[31]  Yong Geng,et al.  Energy-related GHG emissions of the textile industry in China , 2017 .

[32]  A. Sekiya,et al.  Evaluation of carbon dioxide equivalent values for greenhouse gases: CEWN as a new indicator replacing GWP , 2010 .

[33]  Yi-Ming Wei,et al.  Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties , 2017 .

[34]  Tiejun Dai,et al.  A study on material metabolism in Hebei iron and steel industry analysis , 2015 .

[35]  Tengfang Xu,et al.  A bottom-up model to estimate the energy efficiency improvement and CO2 emission reduction potentials in the Chinese iron and steel industry , 2013 .

[36]  Hao Sun,et al.  Identification of main influencing factors of life cycle CO2 emissions from the integrated steelworks using sensitivity analysis , 2010 .