Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science


DOI: 10.5937/jaes18-26863
This is an open access article distributed under the CC BY 4.0
Creative Commons License

Volume 18 article 701 pages: 364 - 371

Ol'ga Kunickaya*
Yakut State Agricultural Academy, Department of Technology and equipment of forest complex, Yakutsk, Russian Federation

Artem Zhuk
Bratsk State University, Department of reproduction and processing of forest resources, Bratsk, Russian Federation

Valentina Nikiforova
Bratsk State University, Department of Ecology, life safety and chemistry, Bratsk, Russian Federation

Svetlana Chzhan
Bratsk State University, Department of reproduction and processing of forest resources, Bratsk, Russian Federation

Mariia Gorodnichina
Petrozavodsk State University, Federal State Budget Educational Institution of Higher Education, Department of Transport and Production Machines and Equipment, Petrozavodsk, Russian Federation

Elena Runova
Bratsk State University, Department of reproduction and processing of forest resources, Bratsk, Russian Federation

Ivan Garus
Bratsk State University, Department of reproduction and processing of forest resources, Bratsk, Russian Federation

Viktor Ivanov
Bratsk State University, Department of reproduction and processing of forest resources, Bratsk, Russian Federation

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 energy-efficient way.

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The work was carried out within the confines of the scientific school “Advances in lumber industry and forestry”.

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