Identification of main influencing factors of life cycle CO2 emissions from the integrated steelworks using sensitivity analysis |
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| Authors: | Zhijia Huang Xiao Ding Hao Sun Siyue Liu |
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| Institution: | 1. School of Statistics, Jiangxi University of Finance and Economics, Nanchang, Jiangxi 330013, PR China;2. Research Center of Applied Statistics, Jiangxi University of Finance and Economics, Nanchang, Jiangxi 330013, PR China;3. Newhuadu Business School, Minjiang University, Fuzhou 350108, PR China;4. Collaborative Innovation Center for Energy Economics and Energy Policy, China Institute for Studies in Energy Policy, Xiamen University, Fujian 361005, PR China;1. State Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, Shenyang 110819, PR China;2. Global Efficiency Intelligence, LLC., San Francisco, CA 94117, USA;3. Energy Analysis and Environmental Impacts Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA;4. Fraunhofer Institute for Systems and Innovation Research (ISI), Breslauer Strasse 48, 76139 Karlsruhe, Germany;1. State Key Joint Laboratory of Environment Simulation and Pollution Control(SKLESPC), School of Environment, Tsinghua University, Beijing 100084, China;2. Electric Power Research Institute of Guangdong Power Grid Corporation, Guangzhou 510080, China;1. CAS Key Laboratory of Low-Carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China;2. Shanghai Tech University, Shanghai 200031, China;3. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | The amount of CO2 emissions from steelworks accounts for a great share of the total CO2 emissions from industry in China. Thus, reducing CO2 emissions from steelworks is urgent for China's environmental protection and sustainable development. This study aims at identifying factors that influence CO2 emissions from steelworks and proposing measures to reduce CO2 emissions. The life cycle inventory (LCI) of iron and steel products implies the relationship between the CO2 emissions of the steelworks and the input variables of the LCI. The Tornado Chart Tool is utilized to calculate the variation of CO2 emissions caused by the change of each input variables of LCI. Then, mean sensitivity of each input variable is calculated and the ranking criterion developed is used to identify the main factors influencing the integrated steelworks. Subsequently, measures for reducing CO2 emissions are proposed. The results indicate that the very important influencing factors of CO2 emissions in steelworks are the CO2 emission factor of Blast Furnace Gas (BFG), liquid steel unit consumption of continuous casting, continuous casting slab unit consumption of hot rolling and hot metal ratio of steel making. Consequently, many efficient measures for reducing CO2 emissions have been proposed, such as removing CO2 contained in BFG, decreasing the hot metal ratio of Basic Oxygen Furnace (BOF), recycling BFG, optimizing the products' structure, etc. |
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