NDLI: Industrial metabolism of chlorine: a case study of a chlor-alkali industrial chain.

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Industrial metabolism of chlorine: a case study of a chlor-alkali industrial chain.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Cui, Zhaojie Han, Feng Li, Wenfeng Yu, Fei
Description	Author Affiliation: Han F ( School of Environmental Science and Engineering, Shandong University, Jinan, 250199, People's Republic of China.)
Abstract	Substance flow analysis (SFA) is applied to a case study of chlorine metabolism in a chlor-alkali industrial chain. A chain-level SFA model is constructed, and eight indices are proposed to analyze and evaluate the metabolic status of elemental chlorine. The primary objectives of this study are to identify low-efficiency links in production processes and to find ways to improve the operational performance of the industrial chain. Five-year in-depth data collection and analysis revealed that system production efficiency and source efficiency continued increasing since 2008, i.e., when the chain was first formed, at average annual growth rates of 21.01 % and 1.01 %, respectively. In 2011, 64.15 % of the total chlorine input was transformed into final products. That is, as high as 98.50 % of the chlorine inputs were utilized when other by-products were counted. Chlorine loss occurred mostly in the form of chloride ions in wastewater, and the system loss rate was 0.54 %. The metabolic efficiency of chlorine in this case was high, and the chain system had minimal impact on the environment. However, from the perspectives of processing depth and economic output, the case study of a chlor-alkali industrial chain still requires expansion.
ISSN	09441344
Issue Number	9
Volume Number	21
e-ISSN	16147499
Journal	Environmental Science and Pollution Research
Language	English
Publisher	Springer
Publisher Date	2014-05-01
Publisher Place	Germany
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Chlorine Analysis Industry Models, Chemical Alkalies Environment Humans Industrial Waste Statistics & Numerical Data Journal Article Discipline Environmental Science Discipline Environmental Chemistry
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Health, Toxicology and Mutagenesis Pollution Medicine

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