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作者:

Lu, Kewei (Lu, Kewei.) | Gong, Xianzheng (Gong, Xianzheng.) | Sun, Boxue (Sun, Boxue.) | Ding, Qing (Ding, Qing.)

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EI Scopus

摘要:

Tungsten is an important strategic metal and widely used in cemented carbide manufacturing, steel industry, and other economic fields. The amount of tungsten resource consumed in China each year accounts for more than 80% of the world’s annual total consumption. The purpose of this study is to quantify the environmental impact of tungsten production in China through the method of LCA. The result shows that regarding the contributions of impact categories, the normalized value of HTP is the largest one among various impact categories, which accounts for 35.39% of the total environmental impact, followed by AP, PMFP, GWP, MDP, FDP, and POFP, respectively. The results also show that regarding the contributions of production processes, smelting process is the largest contributor to the environmental burden of tungsten production due to the crystallization and calcination reduction occurred in the smelting process consumes a large amount of electricity, followed by mining, beneficiation, and transportation, respectively. The major academic contribution of this paper to the existing literatures is that we employed process-based analysis method which could improve the accuracy of the study and provide practical advices for tungsten enterprises to reduce the environmental impact. © 2019 Trans Tech Publications, Switzerland.

关键词:

Carbides Environmental impact Life cycle Smelting Steelmaking Tungsten

作者机构:

  • [ 1 ] [Lu, Kewei]College of Materials Science and Engineering, Beijing University of Technology, No.100 Ping Le Yuan, Chaoyang District, Beijing; 100124, China
  • [ 2 ] [Lu, Kewei]National Engineering Laboratory for Industrial Big-data Application Technology, No.100 Ping Le Yuan, Chaoyang District, Beijing; 100124, China
  • [ 3 ] [Gong, Xianzheng]College of Materials Science and Engineering, Beijing University of Technology, No.100 Ping Le Yuan, Chaoyang District, Beijing; 100124, China
  • [ 4 ] [Gong, Xianzheng]National Engineering Laboratory for Industrial Big-data Application Technology, No.100 Ping Le Yuan, Chaoyang District, Beijing; 100124, China
  • [ 5 ] [Sun, Boxue]College of Materials Science and Engineering, Beijing University of Technology, No.100 Ping Le Yuan, Chaoyang District, Beijing; 100124, China
  • [ 6 ] [Sun, Boxue]National Engineering Laboratory for Industrial Big-data Application Technology, No.100 Ping Le Yuan, Chaoyang District, Beijing; 100124, China
  • [ 7 ] [Ding, Qing]China National Institute of Standardization, China

通讯作者信息:

  • [gong, xianzheng]college of materials science and engineering, beijing university of technology, no.100 ping le yuan, chaoyang district, beijing; 100124, china;;[gong, xianzheng]national engineering laboratory for industrial big-data application technology, no.100 ping le yuan, chaoyang district, beijing; 100124, china

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ISSN: 0255-5476

年份: 2018

卷: 944 MSF

页码: 1137-1143

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 7

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