Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Production

Valentim, Larissa Benassi; Tomeleri, João Otávio Poletto; Thiersch, Cláudio Roberto; Thiersch, Monica Fabiana Bento Moreira; Alesi, Leticia Sant'Anna; Varanda, Luciano Donizeti; Almeida, Roberto Emídio Ponciano de; Yamaji, Fabio Minoru; Pádua, Franciane Andrade de

doi:10.1590/2179-8087.043218

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Original Article, Wood Science and Technology • Floresta Ambient. 26 (spe 2) • 2019 • https://doi.org/10.1590/2179-8087.043218 linkcopy

Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Production

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

The aim of this study was to apply geostatistics to predict the spatial pattern of variations in moisture content of eucalyptus wood chip piles to generate subsidies for adequate sampling and material handling. Wood chip piles were installed in three different storage cycles using newly cut material for 7, 30, and 60 days. Sampling was performed in axial (top, middle, and base) and lateral positions, so that all samples were georeferenced in relation to the distance from the ground and the center of the pile. Moisture values were submitted to geostatistical analysis and kriging. The results confirmed the spatial dependence of moisture content over the piles stored at 7 and 30 days; however, the effect of rainfall was crucial to reduce the spatial dependence of moisture content. The results showed that geostatistics is a useful tool for the creation of reliable sampling protocols.

Keywords:
spatial dependence; kriging; bioenergy; moisture content; biomass

	Storage period (days)	Pile Volume (m³)	No. of samples
Pile 1	7	7.50	174
Pile 2	30	6.57	150
Pile 3	60	7.51	172

Pile	MC_Wb (%)	Minimum (%)	Maximum (%)	CV (%)
i	49.04	11.05	183.54	45.46
ii	46.97	10.30	225.28	56.47
iii	61.21	13.81	284.29	34.86

Pile	$C$	$∁_{0}$	$∁_{1}$	a	GDE
i	1784,77	718.04	1066,73	101.43	0.40
ii	3389,39	522.29	2867,10	113.73	0.15
iii	1636,15	2038,98	-402,83	**	1.25

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Floresta e Ambiente - Instituto de Florestas, Universidade Federal Rural do Rio de Janeiro. BR-465, Km 7, Instituto de Florestas, CEP 23.897-000, Telefone: +55 (21) 2681-4986 - Seropédica - RJ - Brazil
E-mail: floramjournal@gmail.com

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[1] Where, i = pile with 7 days of storage; ii = pile with 30 days of storage; iii = pile with 60 days of storage; MC_Wb = moisture content wet basis; Minimum and Maximum in dry basis; CV = variation coefficient.