REDUCing ENERGY CONSUMPTION OF BARKWOOD RESIDUE GRINDing ON EQUIPMENT WITH KNIFE-BASED OPERATIONAL UNITS
In the coming decades, wood waste management for biofuel production is regarded as a promising renewable energy source and a key factor in reducing carbon dioxide emissions. Mechanical grinding is seen as one of the main
techniques in wood waste pre-treatment operations that increases the value of feedstock used for fuel. The application potential of the ground product highly depends on the energy efficiency of the process.This work aimed to
establish a consistent pattern for estimating the energy consumption required for grinding spruce and pine barking
waste depending on the degree to which materials are ground and their relative moisture content. The energy consumption parameters at grinding were analyzed employing three grinding energy models of Rittinger, Kripichev-Kik,
and Bond. The results of estimation showed that specific energy consumption is associated with relative moisture
content and the grinding degree by nonlinear dependence according to the Kripichev-Kik grinding model for spruce
and pine bark. It has been established that the specific energy consumptionat grinding spruce and pine barking waste
at the optimum humidity of 25% and 27%, respectively, is proportional to the natural logarithm of the grinding degree. It was concluded that the wood waste grinding by 5–15 times requires higher energy consumption at optimum
moisture content, which is 5–10% and 7–14% of the heating value for spruce and pine, respectively. The knowledge
acquired through this research will contribute to developing possible approaches for wood waste recycling in a more
The work was carried out within the confines of the scientific school “Advances in lumber industry and forestry”.
1.Gasparyan G., Kunickaya O.G., Grigorev I., Ivanov V., Burmistrova O., Manukovskii A., Zhuk A., Hertz E.F., Kremleva L., Mueller O. (2018). Woodworking facilities: Driving efficiency through Automation applied to major process steps. International Journal of Engineering and Technology, vol. 7 (4.7), 368-375, DOI: 10.14419/ijet.v7i4.7.23032
2. Kozlov V.G., Skrypnikov A.V., Sushkov S.I., Kruchinin I.N., Grigorev I.V., Nikiforov A.A., Pilnik Y.N., Teppoev A.V., Lavrov M., Timokhova O.M. (2019). Enhancing quality of road pavements through adhesion improvement. Journal of the Balkan Tribological Association, vol. 25, no. 3, 678-694.
3. Gerasimov Y., Seliverstov A. (2010). Industrial round-wood losses associated with harvesting systems in Russia. Croatian Journal of Forest Engineering: Journal for Theory and Application of Forestry Engineering, vol. 31, no. 2, 111-126.
4. Goncharenko L.P., Garnov A.P., Sybachin S.A., Khorshikyan S.V. (2018). Innovative Development on the Basis of Woodworking Enterprises. Advanced Science Letters, vol. 24, no. 7, 5438-5442, DOI: 10.1166/asl.2018.11752
5. Namsaraev Z.B., Gotovtsev P.M., Komova A.V., Vasilov R.G. (2018). Current status and potential of bioenergy in the Russian Federation. Renewable and Sustainable Energy Reviews, vol. 81, 625-634, DOI: 10.1016/j.rser.2017.08.045
6. Bentsen N.S., Felby C. (2012). Biomass for energy in the European Union-a review of bioenergy resource assessments. Biotechnology for biofuels, vol. 5, no. 1, 25, DOI: 10.1186/1754-6834-5-25
7. Brackley A.M., Barber V.A., Pinkel, C. (2010). Developing estimates of potential demand for renewable wood energy products in Alaska. General Technical Reports PNW-GTR-827. US Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR, vol. 31, p. 827.
8. Alakangas E. (2016). Biomass and agricultural residues for energy generation. Oakey J (Ed.), Fuel Flexible Energy Generation. Wood head Publishing, p. 59-96, DOI: 10.1016/B978-1-78242-378-2.00003-1
9. De Wit M., Faaij A. (2010). European biomass resource potential and costs. Biomass and bioenergy, vol. 34. no. 2, 188-202, DOI: 10.1016/j.biombioe.2009.07.011
10. Haberl H., Beringer T., Bhattacharya S.C., Erb K.H., Hoogwijk M. (2010). The global technical potential of bio-energy in 2050 considering sustainability constraints. Current Opinion in Environmental Sustainability, vol. 2, no. 5-6, 394-403, DOI: 10.1016/j.cosust.2010.10.007
11. Repo A., Bottcher H., Kindermann G., Liski, J. (2015). Sustainability of forest bioenergy in Europe: land-use-related carbon dioxide emissions of forest harvest residues. Gcb Bioenergy, vol. 7, no. 4, 877- 887, DOI: 10.1111/gcbb.12179
12. Smeets E.M., Faaij A.P. (2007). Bioenergy potentials from forestry in 2050. Climatic Change, vol. 81, no. 3-4, 353-390. DOI: 10.1007/s10584-006-9163-x
13. Jakes J.E., Arzola X., Bergman R., Ciesielski P., Hunt C.G., Rahbar N., Tshabalala M., Wiedenhoeft, A.C., Zelinka S.L. (2016). Not just lumber—Using wood in the sustainable future of materials, chemicals, and fuels. JOM, vol. 68, no. 9, 2395-2404, DOI: 10.1007/s11837-016-2026-7
14. Laborczy G., Winkler A. (2016). The Hungarian Wood-Based Panel Industry and its Impact on the Environment. Acta Silvatica et Lignaria Hungarica, vol. 12, no. 2, 157-172, DOI: 10.1515/aslh-2016-0014
15. Dukes C.C., Baker S.A., Greene W.D. (2013). In-wood grinding and screening of forest residues for biomass feedstock applications. Biomass and Bioenergy, vol. 54, 18-26, DOI: 10.1016/j.biombioe.2013.02.032
16. Colin, B., Dirion, J. L., Arlabosse, P., & Salvador, S. (2017). Quantification of the torrefaction effects on the grindability and the hygroscopicity of wood chips. Fuel, vol. 197, 232-239, DOI: ff10.1016/j.fuel.2017.02.028ff.
17. Oyedeji, O., & Fasina, O. (2017). Impact of drying-grinding sequence on loblolly pine chips preprocessing effectiveness. Industrial Crops and Products, vol. 96, 8-15, DOI: https://doi.org/10.1016/j. indcrop.2016.11.028
18. Ghorbani Z., Hemmat A., Masoumi A.A. (2012). Physical and mechanical properties of alfalfa grind as affected by particle size and moisture content. Journal of Agricultural Science and Technology, vol. 14, no. 1, 65-76.
19. Kronbergs A., Kronbergs E., Rozinskis, R. (2012). Size reduction of common reeds for biofuel production. Engineering for Rural Development, vol. 1, 257- 261.
20. Khullar E., Dien B.S., Rausch K.D., Tumbleson M.E., Singh V. (2013). Effect of particle size on enzymatic hydrolysis of pretreated Miscanthus. Industrial crops and products, vol. 44, 11-17, DOI: 10.1016/j.indcrop.2012.10.015
21. Vidal B.C., Dien B.S., Ting K.C., Singh V. (2011). Influence of feedstock particle size on lignocellulose conversion—a review. Applied biochemistry and biotechnology, vol. 164, no. 8, 1405-1421, DOI: 10.1007/s12010-011-9221-3
22. Kokko L., Tolvanen H., Hamalainen K., Raiko R. (2012). Comparing the energy required for fine grinding torrefied and fast heat treated pine. Biomass and bioenergy, vol. 42, 219-223, DOI: 10.1016/j.biombioe.2012.03.008
23. Repellin V., Govin A., Rolland M., Guyonnet R. (2010). Energy requirement for fine grinding of torrefied wood. Biomass and Bioenergy, vol. 34, no. 7, 923-930, DOI: 10.1016/j.biombioe.2010.01.039
24. Esteban L.S., Carrasco J.E. (2006). Evaluation of different strategies for pulverization of forest biomasses. Powder technology, vol. 166, no. 3, 139- 151, DOI: 10.1016/j.powtec.2006.05.018
25. Mafakheri F., Nasiri F. (2014). Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions. Energy policy, vol. 67, 116-126, DOI: 10.1016/j.enpol.2013.11.071
26. Mani S., Tabil L.G., Sokhansanj S. (2004). Grinding performance and physical properties of wheat and barley straws, corn stover and switchgrass. Biomass and bioenergy, vol. 27, no. 4, 339-352, DOI: 10.1016/j.biombioe.2004.03.007
27. Gent M., Menendez M., Torano J., Torno S. (2012). A correlation between Vickers Hardness indentation values and the Bond Work Index for the grinding of brittle minerals. Powder technology, vol. 224, 217- 222. DOI: 10.1016/j.powtec.2012.02.056
28. Liu X., Zhang M., Hu N., Yang H., Lu J. (2016). Calculation model of coal comminution energy consumption. Minerals Engineering, vol. 92, 21-27, DOI: 10.1016/j.mineng.2016.01.008
29. Niedzwiecki L. (2011). Energy requirements for comminution of fibrous materials-qualitative chipping model. Linnaeus University, School of Engineering.
30. Makarenkov D.A., Nazarov V.I. (2011). Characteristics of mechano-activation in vibratory pulverizers and drum mills in the preparatory and granulation stages of disperse media. Chemical and Petroleum Engineering, vol. 47, no. 1-2, 121, DOI: 10.1007/s10556-011-9435-9
31. Temmerman M., Jensen P.D., Hebert J. (2013). Von Rittinger theory adapted to wood chip and pellet milling, in a laboratory scale hammermill. Biomass and bioenergy, vol. 56, 70-81, DOI: 10.1016/j.biombioe.2013.04.020
32. Jiang J., Wang J., Zhang X., Wolcott M. (2017). Characterization of micronized wood and energy-size relationship in wood comminution. Fuel Processing Technology, vol. 161, 76-84, DOI: 10.1016/j. fuproc.2017.03.015
33. Miao Z., Grift T.E., Hansen A.C., Ting K.C. (2011). Energy requirement for comminution of biomass in relation to particle physical properties. Industrial crops and products, vol. 33, no. 2, 504-513, DOI: 10.1016/j.indcrop.2010.12.016
34. Liu Y., Wang J., Wolcott M.P. (2016). Assessing the specific energy consumption and physical properties of comminuted Douglas-fir chips for bioconversion. Industrial Crops and Products, vol. 94, 394-400, DOI: 10.1016/j.indcrop.2016.08.054
35. Zhang M., Song X., Deines T.W., Pei Z.J., Wang, D. (2012). Biofuel manufacturing from woody biomass: effects of sieve size used in biomass size reduction. BioMed Research International, vol. 2, 581039, DOI: 10.1155/2012/581039