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Scientific basis of effective energy resource use and environmentally safe processing of phosphorus-containing manufacturing waste of ore-dressing barrows and processing enterprises

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Abstract

Waste barrows of ore-dressing and processing enterprises have a special role among anthropogenic deposits where fine finders are stored, intensifying their amenability to wind and water erosion. Rock barrows occupy much larger territories than factory lands, leading to environmental pollution. Herein, we create a fundamental physical and chemical basis for the effective use of energy resources and environmentally safe processing of ore-dressing waste products, which allows for transformation of raw fine finders stored in tailing dumps into competitive products and decreases the amount of resources aimed toward ground disposal. It will also assure the extermination of tailing dumps and grounds. This can also minimize negative environmental impact and stabilize further development. For this purpose, a mathematical model of a complex chemical energy technological system (CETS) aimed at manufacturing phosphorite pellets has been developed. Large-scale models of multistage chemical energy technological processes of baking and coking moving dense multilayer masses of phosphorite pellets, which differ in their raw material physical, chemical, and granulometric characteristics, have also been developed. Additionally, special multilayer algorithms for formulating making decisions concerning optimal energy resource effectiveness management of CETS manufacturing phosphorite pellets have been developed. They differ in the quality ratings of the prepared pellets in the characteristics of raw phosphate materials. These calculations also consider the impact of controlling the actions of temperature and speed of gas supply for the exchange of having a dynamic dense multilayer pellets mass, which allows for using an available potential of increased effectiveness to maximize energy resources of CETS.

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Abbreviations

CETS:

Chemical energy technological system

Bi:

Similarity parameter

ANN:

Artificial neural network

UASB:

Upflow anaerobic sludge blanket

EB:

Electron beam

LCA:

Life cycle assessment

MSW:

Municipal solid waste

WTP:

Water treatment plant

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Acknowledgements

This study was performed within the framework of the basic part of the state assignment of the Ministry of Education and Science, Russian Federation (Project No. 13.9597.2017/BCh).

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Correspondence to Elvira V. Morgunova.

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Bobkov, V.I., Fedulov, A.S., Dli, M.I. et al. Scientific basis of effective energy resource use and environmentally safe processing of phosphorus-containing manufacturing waste of ore-dressing barrows and processing enterprises. Clean Techn Environ Policy 20, 2209–2221 (2018). https://doi.org/10.1007/s10098-018-1633-0

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  • DOI: https://doi.org/10.1007/s10098-018-1633-0

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