Literature DB >> 31677463

Technologies-based potential analysis on saving energy and water of China's iron and steel industry.

Cheng-Kang Gao1, Hong-Ming Na2, Kaihui Song3, Fan Tian4, Natalia Strawa5, Tao Du4.   

Abstract

Water and energy conservation are indispensable commitments to achieve the sustainable development of the iron and steel industry. Hereby, this study established an evaluation framework to model the water and energy consumption in the iron and steel industry. This framework quantitatively assessed the energy and water saving with adoption of conventional and emerging technologies. Thirty mainstream technologies, among which 21 focused on energy saving and the remaining 9 focused on water saving, were selected for analysis. Five scenarios were developed to examine systematic water- and energy-saving potentials, including benchmark (BM) scenario, constrained product (CP) scenario, business as usual (BAU) scenario, and benefit/cost-driven (BD) scenario and strengthened policy (SP) scenario. The results show that the energy-saving potentials of BAU, BD and SP scenarios are 1.75 PJ, 1.21 PJ and 1.65 PJ, respectively. The water-saving potentials of BAU, BD and SP scenarios are 4.83 billion m3, 5.71 billion m3 and 9.15 billion m3, respectively. The specific energy consumption and water consumption decreased to 15.01-15.59 GJ/t and 54.13-58.77 m3/t, respectively. This study suggested to implement encouraging policies in prompt popularity rate of technologies, and promote energy-saving and water-saving technologies to achieve sustainable development of iron and steel industry.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Energy and water consumption; Energy- and water-saving potential; Iron and steel industry; Scenario analysis; Technical level

Year:  2019        PMID: 31677463     DOI: 10.1016/j.scitotenv.2019.134225

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Effect of Water-Saving Society Policy on Water Consumption in the Cities of China: A Propensity Score Matching Analysis.

Authors:  Yali Zhao; Min Li
Journal:  Int J Environ Res Public Health       Date:  2020-11-05       Impact factor: 3.390

  1 in total

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