Industrial metabolism of chlorine in a chemical industrial park: the Chinese case

Ma, Lei; Zhao, Shifen; Shi, Lei

doi:10.1016/j.jclepro.2015.06.012

Cited by 20 publications

(9 citation statements)

References 24 publications

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“…The comprehensive weight analysis method is taken, according to the different heating methods [11], the optimized calculation formula of technical parameters for the recovery and purification of sulfur hexafluoride gas is obtained as follows:…”

Section: Entropy Weight Analysismentioning

confidence: 99%

“…According to quantitative characteristic parameter analysis and data fusion technology, the technical parameters of SF6 gas recovery and purification were optimized. Finally, the experimental test is carried out, and the reliability control measures of sulfur hexafluoride gas are analyzed in combination with the relevant detection and analysis results [11].…”

Section: Introductionmentioning

confidence: 99%

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Study on recovery and purification technology of sulfur hexafluoride gas under zero emission constraint

et al. 2022

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In order to improve the efficiency of sulfur hexafluoride gas recovery and purification, an optimization method of technical parameters for sulfur hexafluoride gas recovery and purification based on quantitative characteristic parameter analysis is proposed. Combined with the reaction temperature, concentration of sulfur hexafluoride gas, concentration of SF6 gas, NOx, CO and other sulfur hexafluoride gas, the technical index constrained programming model of sulfur hexafluoride gas recovery and purification was established by using the equivalent constraint and zero emission constraint analysis method. Combined with the experimental test analysis method, the entropy weight characteristic analysis model of sulfur hexafluoride gas recovery and purification was established, and the quantitative parameter analysis of sulfur hexafluoride gas recovery and purification was carried out by combining the comprehensive index parameter analysis. The entropy weight analysis technology is used to analyze the influence of different recovery and purification parameters on the concentration of sulfur hexafluoride gas, and a quantitative analysis model of sulfur hexafluoride gas emission concentration is established. According to quantitative characteristic parameter analysis and data fusion technology, the technical parameters of sulfur hexafluoride gas recovery and purification are optimized. The experimental results show that by optimizing the technical parameters of sulfur hexafluoride gas recovery and purification, the content of toxic substances in sulfur hexafluoride gas is reduced, the effective separation capacity of sulfur hexafluoride is improved, and the energy cost is reduced.

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Section: Entropy Weight Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on recovery and purification technology of sulfur hexafluoride gas under zero emission constraint

et al. 2022

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“…Once one of them fails to perform their duties well, it may cause the collapse of the entire system. At present, many studies have been carried out on the CIPs in China, such as energy-saving measures and potential [12], material metabolism [13] and material flow analysis, including carbon [14], sulfer [15,16] and chlorine [17,18]. However, little research systematically used the theory of ecological organization to analyze the operation mechanism of the CIP ecosystem.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of the Operation Mechanism of Chemical Industry Park Ecosystem Based on Theory of Ecological Organization

Xu¹,

Han²

2021

Energy Engineering

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Based on the theory of ecological organization, this paper analyzes the operation mechanism of chemical industry park (CIP) ecosystem by means of dynamic simulation. The research shows that the CIP ecosystem is a complex ecological system whose operation mechanism includes two levels, namely individual enterprises and ecosystem. At the level of individual enterprise, there are competition, symbiosis, invasion and other interactions between enterprises in the CIP ecosystem. Through the pre-determined judgment of the competition effect coefficient and the symbiosis effect coefficient, we calculate how the enterprises influence each other, and then generate their respective operation paths, and finally realize the long-term balance of the system. At the level of ecosystem, the CIP ecosystem makes self-organizing and self-adaptive adjustments and changes due to the changes of the external environment in policy, manpower, technology, capital, market, etc., thus reaching the equilibrium state of coordinated operation and stable symbiosis with the external environment.

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“…It is a useful tool for the development of EICs. Presently, IMA is primarily used to investigate waste treatment aspects (Tazi et al., 2019) or in combination with material flow analysis (MFA) to track and analyze chemical processing of copper, sulfur, and chlorine in industrial parks (Han et al., 2016; Ma et al., 2016). IMA can provide suggestions for improving urban wastewater metabolism (Guan et al., 2019), by developing ecological networks in industrial parks, and implementing a circular economy in ecological industrial parks (Fan et al., 2017; Gómez et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

Industrial metabolism analysis of a Chinese wine industry chain based on material flow and input–output analyses

Liu

Jia

et al. 2021

J of Industrial Ecology

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Recently, Chinese wine industry has developed rapidly and its sustainability has attracted increasing attention. However, the existing wine industry chain is short and its metabolic pathway and metabolic efficiency remain unknown. Therefore, we selected a representative wine company in China to conduct industrial metabolism analysis (IMA) research based on material flow analysis (MFA) and input–output analysis. MFA model and input–output matrix for the traditional industry chain (TIC) and ecological industry chain (EIC) of the investigated company were established to explore the material flow relationship between the industrial structure and the nodes. A new IMA evaluation index system was developed to evaluate the industrial metabolic efficiency and development trends of two scenarios considered in the study. The results showed that the addition of nodes in EIC promoted the reuse of byproducts and wastes, and reduced the waste of resources. The industrial metabolic efficiency of EIC was also higher than that of TIC. For example, the node material cycle coefficient (Ri) during the preliminary treatment and pressing and fermentation of EIC was increased by 0.041 and 0.127, respectively, compared with TIC. A correlation analysis showed that EIC nodes had stronger pull and push effects on upstream and downstream than those of TIC, and the influence coefficient (Uj) of viticulture and pressing and fermentation increased by 0.168 and 0.112, respectively. This study provides a scientific basis for optimizing the wine industrial layout, improving the overall environmental performance of the industry chain, and promoting sustainable development.

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Industrial metabolism of chlorine in a chemical industrial park: the Chinese case

Cited by 20 publications

References 24 publications

Study on recovery and purification technology of sulfur hexafluoride gas under zero emission constraint

Study on recovery and purification technology of sulfur hexafluoride gas under zero emission constraint

An Analysis of the Operation Mechanism of Chemical Industry Park Ecosystem Based on Theory of Ecological Organization

Industrial metabolism analysis of a Chinese wine industry chain based on material flow and input–output analyses

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