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The impact of extra long-term storage of logging residues on fuel quality in Estonian conditions – a case study Cover

The impact of extra long-term storage of logging residues on fuel quality in Estonian conditions – a case study

Open Access
|Apr 2024

Figures & Tables

Figure 1.

Sample pile of spruce logging residues.
Sample pile of spruce logging residues.

Figure 2.

Sample pile of birch logging residues.
Sample pile of birch logging residues.

Figure 3.

Change of ash content during storage.
Change of ash content during storage.

Figure 4.

Change of net calorific value of dry matter.
Change of net calorific value of dry matter.

Figure 5.

Change of net calorific value of moist fuel.
Change of net calorific value of moist fuel.

Figure 6.

Change of bulk density.
Change of bulk density.

Figure 7.

Change of energy density.
Change of energy density.

Figure 8.

Shrinkage of diameter of sample branches.
Shrinkage of diameter of sample branches.

Figure 9.

Variation of moisture content during the year.
Variation of moisture content during the year.

Figure 10.

Diameter drying shrinkage relationship with storage time and moisture content in birch logging residues.
Diameter drying shrinkage relationship with storage time and moisture content in birch logging residues.

Figure 11.

Diameter drying shrinkage relationship with storage time and moisture content in Norway spruce logging residues.
Diameter drying shrinkage relationship with storage time and moisture content in Norway spruce logging residues.

Figure 12.

Bulk density during storage of birch residues (ρbm – bulk density with oven-dry mass and volume at the base moisture content; t – days from the start of the experiment).
Bulk density during storage of birch residues (ρbm – bulk density with oven-dry mass and volume at the base moisture content; t – days from the start of the experiment).

Figure 13.

Bulk density during storage of spruce residues (ρbm – bulk density with oven-dry mass and volume at the base moisture content; t – days from the start of the experiment).
Bulk density during storage of spruce residues (ρbm – bulk density with oven-dry mass and volume at the base moisture content; t – days from the start of the experiment).

Figure 14.

Decline of energy content of logging residues during long-term storage.
Decline of energy content of logging residues during long-term storage.

Results of ANCOVA of different characteristics (Equation 1)_

Dependent variable (Y)p-valueStandard errorR2Figure
Ash content0.00320.48250.12863
Net calorific value of dry matter<0.00010.10260.21204
Net calorific value of moist fuel<0.00010.69050.39405
Bulk density<0.00010.07330.77896
Energy density<0.00010.39620.77187
Shrinkage of diameter0.00151.35500.09898

Parameter estimates for the relationship between drying shrinkage, storage time, and moisture content (Equation 2 and 3)_

SpeciesParameterEstimationp-value
Silver bircha03.851<0.0001
a10.021560.0432
a23.572·10−283<0.0001
a3−1.944·10−70.0175
R20.240
SE1. 098
p0.0010

Norway sprucea10.15284<0.0001
a20.37387<0.0001
R20.937
SE0.990
p<0.0001

Relationship between moisture content and month number (Equation 4)_

Samplea0a1a2p-valueStandard errorR2
Birch, covered58.654−7.6870.4230.02358.2890.415
Birch, uncovered78.481−11.8820.8630.096712.8620.284
Spruce, covered57.448−9.0800.5610.04288.6370.363
Spruce, uncovered65.693−10.9810.7220.04079.4840.367

Decline of energy content of logging residues during long-term storage by species and place in pile_

Storage time, yearSpruce, topSpruce, middleBirch, topBirch, middle
0100.0100.0100.0100.0
195.995.890.590.4
292.091.781.981.7
388.287.974.273.9
484.684.267.166.8
581.280.660.860.4
677.977.255.054.5
774.773.949.849.3
871.670.845.144.6

Estimations and significance probabilities of parameters of ANCOVA Equation 1_

Dependent variable (Y)FigureParameterEstimationp-value
Ash content, %3a01.561477<0.0001
a10.000941<0.0001
a20.3156440.0230
a5−0.0003100.0045
a6−0.0001400.0341
a7−0.0001220.0633

Net calorific value of dry matter, kWh/kg4a05.323000<0.0001
a10.0000850.0081
a5−0.0000390.0052
a70.0000210.1380

Net calorific value of moist fuel, kWh/kg5a04.162196<0.0001
a1−0.001087<0.0001
a3−0.643537<0.0001
a50.000423<0.0001

Bulk density, g/cm36a00.571200<0.0001
a1−0.000160<0.0001
a20.173900<0.0001
a3−0.0425300.0013
a50.0000460.0069

Energy density, MWh/m37a03.055000<0.0001
a1−0.000846<0.0001
a20.925200<0.0001
a3−0.2329000.0012
a50.0002480.0068

Shrinkage of diameter, %8a04.284253<0.0001
a2−0.7918500.0012
a60.0001500.0973

Dates of samples_

NoDate of samplingDays from the start of the experiment
116.06.20100
202.09.201078
322.11.2010159
407.03.2011264
502.09.2011443
615.02.2012609
725.04.2012679
804.06.2012719
924.08.2012800
1023.11.2012891
1116.05.20131065
1226.11.20131259
1325.06.20141470
1412.12.20141640
1526.08.20151897
1628.08.20162265
1718.03.20182832
DOI: https://doi.org/10.2478/fsmu-2023-0012 | Journal eISSN: 1736-8723 | Journal ISSN: 1406-9954
Language: English
Page range: 51 - 65
Published on: Apr 13, 2024
Published by: Estonian University of Life Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 Allar Padari, Risto Mitt, Linnar Pärn, Vahur Kurvits, Sander Kaasik, Peeter Muiste, published by Estonian University of Life Sciences
This work is licensed under the Creative Commons Attribution 4.0 License.