Prediction of microbial desulfurization of coal using artificial neural networks

Minerals Engineering

Volumn 20, Issue 14, 2007, Pages 1285-1292

  Jorjani, E ^a   Chehreh Chelgani, S ^a   Mesroghli, Sh ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Bioleaching; Coal; Environmental; Neural networks

Indexed keywords

BIOLEACHING; CORRELATION METHODS; DESULFURIZATION; MICROORGANISMS; NEURAL NETWORKS; PH;

COAL WASHERY TAILINGS; MICROBIAL DESULFURIZATION; SHAKING RATES; SULFUR REDUCTION;

COAL;

EID: 35348924831     PISSN: 08926875     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mineng.2007.07.003     Document Type: Article

References (30)

1. Acharya C., Mohanty S., Sukla L.B., and Misra V.N. Prediction of sulphur removal with Acidithiobacillus sp. using artificial neural networks. Ecol. Model. 190 (2006) 223-230
2. Aldrich C. Exploratory Analysis of Metallurgical Process Data With Neural Networks and Related Methods (2002), Elsevier p. 5
3. Aller A., and Martinez O. Biodesulfurization of coal by microorganisms isolated from the coal itself. Fuel Process. Technol. J. (2001) 69
4. Attar A. Fuel 57 (1978) 201
5. Bozdemir T.O. Biodesulfurization of Turkish lignites, 1. Optimization of the growth parameters of Rhodococcus rhodochrous, a sulfur removing bacterium. Fuel J. 75 13 (1996) 1596-1600
6. Calkins W.H. The chemical forms of sulfur in coal: a review. Fuel 73 (1994) 475
7. Chandra D., and Mishra A.K. Removal of sulfur from Assam coal by bacterial means. Bioprocessing and Biotreatment of Coal (1990), Northeastern University, Boston
8. Chaudhury, G.R., 1994. Microbial Desulfurization of Coal with Emphasis on Inorganic Sulfur. Biological Degradation and Bioremediation of Toxic Chemicals, pp. 493-505
9. Cilek E.C. Application of neural networks to predict locked cycle flotation test results. Miner. Eng. 15 (2002) 1095-1104
10. Couch G.R. Biodesulphurization of Coal (1993), IEA Coal Research Report, London
11. Davidson R. Organic Sulfur in Coal (1993), IEA Coal Res
12. Demuth H., and Beale M. Neural Network Toolbox for use with MATLAB (2002), Handbook p. 154
13. Dugan P.R., and Apel W.A. Microbial Desulfurization of Coal (1978), Academic Press, New York
14. Eldin N.N., and Senoucci A.B. Condition rating of rigid pavements by neural networks. Can. J. Civil Eng. 22 (1995) 861-870
15. Fecko P. Bacterial desulfurization of coal from open pit mine Michal. Proceedings of the 5th Southern Hemisphere Meeting on Mineral Technology (1997), Buenos Aires, Argentina
16. International Standard, ISO 157, 1992. Coal - Determination of Forms of Sulfur, pp. 1-15.
17. International Standard, ISO 334, 1992. Solid Mineral Fuels - Determination of Total Sulfur - Eschka Method, pp. 1-5.
18. Juszczak A., Domka F., Kozlowski M., and Wachowska H. Microbial desulfurization of coal with Thiobacillus ferrooxidans bacteria. Fuel 74 5 (1994)
19. Kos C.H., Poortes P.P.E., Bos P., and Kuenen J.G. Geochemistry of sulfides in coal and microbial leaching experiments. International Conference on Coal Science vol. 842 (1981), R.F.A., Dusseldorf
20. Labidi J., Pelach M.A., Turon X., and Mutje P. Predicting flotation efficiency using neural networks. Chem. Eng. Process. 46 (2007) 314-322
21. Martinez, O., 1995. Desulfurization of coals from the north of Leon (Spain). Optimization of process variables. In: Proceedings of the 8th International Conference on Coal Science, II, Oviedo, Spain.
22. Moran A. Microbiological desulfurization of column-packed coal. Fuel Process. Technol. J. (1997) 52
23. Olsson G., Holst O., and Karlson H.T. Microbial desulfurization of different coal types. Coal Sci. 1 (1995) 1741-1744
24. Patel S.U., Kumar B.J., Badhe Y.P., Sharma B.K., Saha S., Biswas S., Chaudhury A., Tambe S.S., and Kulkarni BD. Estimation of gross calorific value of coals using artificial neural networks. Fuel 86 (2007) 334-344
25. Pronk J.T., Meijer W.M., and Hazeu W. Growth of Thiobacillus ferrooxidans on formic acid. Appl. Environ. Microbiol. (1991) 57
26. Ratanakandilok S., Ngamprasertsith S., and Prasassarakich P. Coal desulfurization with methanol/water and methanol/KOH. Fuel (2001) 80
27. Ryan M., Muller C., Keith H.J.D., and Cameron K.C. The use of artificial neural networks (ANNs) to simulate N2O emissions from a temperate grassland ecosystem. Ecol. Model. 175 (2004) 189-194
28. Seginer I., Boulard T., and Bailey B.J. Neural network models of the greenhouse climate. J. Agric. Eng. Res. 59 (1994) 203-216
29. Ungar L.H., Hartman E.J., Keeler J.D., and Martin G.D. Process modelling and control using neural networks. Am. Inst. Chem. Eng. Symp. Ser. 92 (1996) 57-66
30. Yao H.M., Vuthaluru H.B., Tade M.O., and Djukanovic D. Artificial neural network-based prediction of hydrogen content of coal in power station boilers. Fuel 84 (2005) 1535-1542