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Clean Technologies and Environmental Policy

, Volume 20, Issue 10, pp 2209–2221 | Cite as

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

  • Vladimir I. Bobkov
  • Alexander S. Fedulov
  • Maksim I. Dli
  • Valery P. Meshalkin
  • Elvira V. Morgunova
Original Paper
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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.

Graphical abstract

Keywords

Modeling Utilization Pellets Technogenetic raw materials Energy resource effectiveness Baking Coking 

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

Notes

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).

References

  1. Abzalov VM, Bragin VV, Klein VI, Evstyugin SN, Solodukhin AA (2010) Thermal systems of conveyer roasting machines. Steel Trans 40:813–815CrossRefGoogle Scholar
  2. Blank CE, Parks RW, Hinman NW (2016) Chitin: a potential new alternative nitrogen source for the tertiary, algal-based treatment of pulp and paper mill wastewater. J Appl Phycol 28:2753.  https://doi.org/10.1007/s10811-016-0808-5 CrossRefGoogle Scholar
  3. Bobkov VI, Borisov VV, Dli MI, Meshalkin VP (2015a) Multicriterial optimization of the energy efficiency of the thermal preparation of raw materials. Theor Found Chem Eng 49:842–846CrossRefGoogle Scholar
  4. Bobkov VI, Borisov VV, Dli MI, Meshalkin VP (2015b) Modeling the calcination of phosphorite pellets in a dense bed. Theor Found Chem Eng 49:176–182CrossRefGoogle Scholar
  5. Bobkov VI, Borisov VV, Dli MI, Meshalkin VP (2017) Intensive technologies for drying a lump material in a dense bed. Theor Found Chem Eng 51:70–75CrossRefGoogle Scholar
  6. Bustillo RM (2018) Environment and sustainability. In: Mineral resources. Springer Textbooks in Earth Sciences, Geography and Environment. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-319-58760-8_7
  7. Butkarev AA, Butkarev AP (2005) Reversible pellet-cooling system at roasting machines. Steel Trans 35:1–3Google Scholar
  8. Butkarev AA, Butkarev AP, Zhomiruk PA, Martynenko VV, Grinenko NV (2010) Pellet heating on modernized OK-124 roasting machine. Steel Trans 40:239–242CrossRefGoogle Scholar
  9. Bykova YP, Ermolenko BV (2011) Economic-mathematical models for designing a wastewater purification system for electroplating plants. Theor Found Chem Eng 45:542.  https://doi.org/10.1134/S0040579510051069 CrossRefGoogle Scholar
  10. Capodaglio AG (2017) High-energy oxidation process: an efficient alternative for wastewater organic contaminants removal. Clean Technol Environ Policy 19:1995.  https://doi.org/10.1007/s10098-017-1410-5 CrossRefGoogle Scholar
  11. Chen D, Zhu DQ, Chen Y (2014) Preparation of prereduced pellets by pyrite cinder containing nonferrous metals with high temperature chloridizing-reduction roasting technology. ISIJ Int 54:2162–2168CrossRefGoogle Scholar
  12. Coventry ZA, Tize R, Karunanithi AT (2016) Comparative life cycle assessment of solid waste management strategies. Clean Technol Environ Policy 18:1515.  https://doi.org/10.1007/s10098-015-1086-7 CrossRefGoogle Scholar
  13. Elgharbi S, Horchani-Naifer K, Férid M (2015) Investigation of the structural and mineralogical changes of Tunisian phosphorite during calcinations. J Therm Anal Calorimet 119:265–271CrossRefGoogle Scholar
  14. Fan XH, Gan M, Jiang T, Yuan LS, Chen XL (2010) Influence of flux additives on iron ore oxidized pellets. J Central South Univ Technol (Engl Ed) 17:732–737CrossRefGoogle Scholar
  15. Javali S, Chandrashekar AR, Naganna SR et al (2017) Eco-concrete for sustainability: utilizing aluminium dross and iron slag as partial replacement materials. Clean Technol Environ Policy 19:2291.  https://doi.org/10.1007/s10098-017-1419-9 CrossRefGoogle Scholar
  16. Jonjić D, Vitale K (2014) Issues around household pharmaceutical waste disposal through community pharmacies in Croatia. Int J Clin Pharm 36:556.  https://doi.org/10.1007/s11096-014-9936-7 CrossRefGoogle Scholar
  17. Kairakbaev AK, Abdrakhimova ES, Abdrakhimov VZ (2016) Use of aluminum-containing anthropogenic wastes from nonferrous metallurgy in the production of clinker ceramic articles. Wastes Prod 73:266–269Google Scholar
  18. Katerishchuk MY, Meshalkin VP (2014) Effective business processes reengineering on the bakery enterprises. Int J Adv Stud 4:3–8Google Scholar
  19. Lee CG, Alvarez PJJ, Kim HG (2018) Phosphorous recovery from sewage sludge using calcium silicate hydrates. Chemosphere 193:1087–1093CrossRefGoogle Scholar
  20. Luis P, Van der Bruggen B (2014) Exergy analysis of energy-intensive production processes: advancing towards a sustainable chemical industry. J Chem Technol Biotechnol 89:1288–1303CrossRefGoogle Scholar
  21. Mayer BK, Baker LA, Boyer TH (2016) Total value of phosphorus recovery. Environ Sci Technol 50:6606–6620CrossRefGoogle Scholar
  22. Melamud SG, Yur’ev BP (2016) Oxidation of iron ore at moderate and high temperatures. Steel Trans 46:384–389CrossRefGoogle Scholar
  23. Montastruc L, Azzaro-Pantel C, Biscans B, Cabassud M, Domenech S (2003) A thermochemical approach for calcium phosphate precipitation modeling in a pellet reactor. Chem Eng J 94:41–50CrossRefGoogle Scholar
  24. Palant AA (2007) Pelletizing of sulfide molybdenite concentrates. Russ Metall 2:109–111CrossRefGoogle Scholar
  25. Panchenko SV (2004) Automated analysis of the energy-saving potential in thermal engineering system for phosphorus production. Theor Found Chem Eng 38:538–544CrossRefGoogle Scholar
  26. Panchenko SV, Shirokikh TV (2014) Thermophysical processes in burden zone of submerged arc furnaces. Theor Found Chem Eng 48:77–81CrossRefGoogle Scholar
  27. Shinkuma T, Managi S (2012) Effectiveness of policy against illegal disposal of waste. Environ Econ Policy Stud 14:123.  https://doi.org/10.1007/s10018-011-0024-0 CrossRefGoogle Scholar
  28. Sudarsan JS, Annadurai R, Mukhopadhyay M et al (2017) Domestic wastewater treatment using constructed wetland: an efficient and alternative way. Sustain Water Resour Manag 4:1–7.  https://doi.org/10.1007/s40899-017-0164-x CrossRefGoogle Scholar
  29. Tufaner F, Avşar Y, Gönüllü MT (2017) Modeling of biogas production from cattle manure with co-digestion of different organic wastes using an artificial neural network. Clean Technol Environ Policy 19:2255.  https://doi.org/10.1007/s10098-017-1413-2 CrossRefGoogle Scholar
  30. Valta K, Damala P, Panaretou V et al (2017) Review and assessment of waste and wastewater treatment from fruits and vegetables processing industries in Greece. Waste Biomass Valor 8:1629.  https://doi.org/10.1007/s12649-016-9672-4 CrossRefGoogle Scholar
  31. Wolff E, Schwabe WK, Conceição SV et al (2017) Using mathematical methods for designing optimal mixtures for building bricks prepared by solid industrial waste. Clean Technol Environ Policy 19:379.  https://doi.org/10.1007/s10098-016-1223-y CrossRefGoogle Scholar
  32. Yang XF (2010) Mechanism of roasting and agglomeration on the pellets produced by blended iron ore fines of hematite and magnetite. J Iron Steel Res 22:6–8Google Scholar
  33. Yur’ev BP, Gol’tsev VA (2016) Thermophysical properties of kachkanar titanomagnetite pellets. Steel Trans 46:329–333CrossRefGoogle Scholar
  34. Yur’ev BP, Gol’tsev VA, Lugovkin VV, Yarchuk VF (2015) Hydraulic drag of dense beds consisting of different shape. Steel Trans 45:662–668CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Vladimir I. Bobkov
    • 1
  • Alexander S. Fedulov
    • 1
  • Maksim I. Dli
    • 1
  • Valery P. Meshalkin
    • 2
  • Elvira V. Morgunova
    • 2
  1. 1.The Smolensk Branch of the Moscow Power Engineering University (National Research Institute)SmolenskRussian Federation
  2. 2.Mendeleev University of Chemical TechnologyMoscowRussian Federation

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