Microsoft Word - 1murphy.docx CHEMICAL ENGINEERING TRANSACTIONS VOL. 58, 2017 A publication of The Italian Association of Chemical Engineering Online at www.aidic.it/cet Guest Editors: Remigio Berruto, Pietro Catania, Mariangela Vallone Copyright © 2017, AIDIC Servizi S.r.l. ISBN 978-88-95608-52-5; ISSN 2283-9216 Chip Quality as a Function of Harvesting Methodology Salvatore Faugnoa, Vincenzo Civitareseb, Alberto Assirellib, Giulio Sperandiob, Luigi Saulinoa, Mariano Crimaldi a, Maura Sannino *a,c a Department of Agriculture of the University of Naples Federico II b Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (Crea) c Department of Agriculture, Tuscia University, 01100 (VT), Italy maura.sannino@unina.it The study aimed to evaluate the aboveground dry biomass production and the quality of fresh and dried chips obtained by eight different species grown under SRC culture and subjected to two harvesting systems and chipping devices. The present study was part of a long project including different species and management regime of a SRC plantation, which was established in 2007 on a level soil at the Improsta experimental farm (Eboli, Salerno, Italy). In 2015, It was realized a comparative test chipping eight different species grown under SRC system: Fraxinus oxyphylla, Robinia pseudoacacia, Salix alba, Populus nigra (Limatola) and four hybrid genotypes of Populus x euroamericana (Grimminge, Vesten, Hoogvorst, Muur), harvested at the end of the first three years rotation coppice (2012-2014). The trees were chipped both fresh and dried. The fresh biomass was harvested and chipped in a single phase by a self-propelled forage harvester Claas Jaguar 880 (nominal power of 353 kW), equipped with GBE biomass head for trees cutting and harvester feeding. The dried biomass was chipped by a forestry wood disk chipper Farmi Forest CH 260, after two months of storage in the field. The plantation mean of the standing aboveground dry biomass was greater for P. nigra Limatola, followed by F. oxyphylla. As consequences, they showed respectively a high mean annual increment of aboveground dry biomass of 14.38 and 10.16 t ha -1 year-1. The first coppice rotation dry biomass yield was not significantly different for Hoogvorst and Vesten. In contrast to the biometric attributes clone Muur showed a low aboveground dry biomass production, followed by Grimminge and S. alba with a significantly lower production. Moisture content of the fresh biomass ranged between 42.59 % and 56.84 % for black locust and willow, respectively. The dried biomass ranged, instead, between 17.32 % for willow and 36.80 % for Populus nigra. The average reduction of moisture content after storage was 43.97 % with the highest and lowest rate of dehydration for willow (69.53 %) and poplar Vesten (28.70 %). Concerning the particle size distribution, the presence of large chips (63-45 mm) and oversized (> 63 mm) were extremely limited for the fresh chips, while it is considerably higher for the dried chips. Fractions ranging from 45 to 3 mm were the most represented for all species and treatment, accounting between 84.09 % and 90.65 % for the fresh chips, and 74.15 % and 85.68 % for the dried chips. The comminution carried out with the disk chipper on dried biomass always leads to a decrease in the percentage of accept (45-3 mm fractions) respect to the same fresh species chipped by drum chipper. 1. Introduction The increasing global energy demand, the increasing prices and limited availability of fossil fuels, the environmental impacts and the need to reduce emissions of greenhouse gases are some of the issues that are driving the growth of biomass as a source of renewable and sustainable energy (Lo Monaco et al., 2011; Koseki, 2011). Fast growing trees planted as Short Rotation Coppice (SRC) are an important source of lignocellulosic biomass (Broeckx et al., 2012), due to their high yields, good combustion quality, ecological and social benefits (Groscurth et al., 2000; Hauk et al., 2014) and relatively low production costs (Kauter et al., 2003). DOI: 10.3303/CET1758046 Please cite this article as: Faugno S., Civitarese V., Assirelli A., Sperandio G., Saulino L., Crimaldi M., Sannino M., 2017, Chip quality as a function of harvesting methodology, Chemical Engineering Transactions, 58, 271-276 DOI: 10.3303/CET1758046 271 Besides poplar (populus spp.), other species commonly used for SRC plantation are Salix Alba, Fraxinus augustifolia, Eucalyptus occidentalis and Robinia pseudoacacia (Civitarese et al., 2015b; Facciotto et al., 2007). Currently, chipped lignocellulosic biomass are used in power stations, combined heat and power plants (CHP), biogas stations, large heating plants and small combustion units (Abdallah et al., 2011; Verani et al., 2015). The quality of the wood chips is strictly correlated with the tree species considered, the harvesting system and the chipping device, mainly drum and disc chipper (Civitarese et al., 2015a). Two different harvesting systems are currently available: single pass cut and chip, and whole stem (Mitchell and Angus-Hankin, 1996). The single pass cuts and chips the fresh biomass (moisture content 55-60 %) by using large size forage harvesters. The whole stem implies the use of forest chippers an intermediate stocking period between cutting (first step) and chipping (second step) (Pari, 1999), favouring the natural drying of the biomass. Many parameters characterize the quality of the biomass as the moisture content and the particles size distribution. Particles size distribution influences the storage behavior (Jirjis, 2005, Barontini et al., 2013), the handling properties (Nati et al., 2010; Spinelli et al., 2012) and the combustion efficiency (Wu et al., 2011). The moisture content has a great influence toward the heating value and the storage behavior. In 2015, the Department of Agriculture of the University of Naples Federico II and the Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (Crea), carried out a comparative test chipping both fresh and dried eight different species grown under SRC system: Fraxinus oxyphylla, Robinia pseudoacacia, Salix alba, Populus nigra (Limatola) and four hybrid genotypes of Populus x euroamericana (Grimminge, Vesten, Hoogvorst, Muur), harvested at the end of the first three years rotation coppice (2012-2014). The study aimed to evaluate the aboveground dry biomass production and the quality of fresh and dried chips by analysing their particle size distribution and the moisture content, obtained by height different species grown under SRC culture and subjected to two harvesting systems and chipping devices. 2. Materials and methods The research was conducted at “Improsta” experimental farm, located in the rural area of the town Eboli, in Southern Italy (40°33’32.18’’N; 14°58’15.6’’E; 20 m above sea level). The plantation was established in March 2007 and it includes nineteen genotypes, on a total surface of 4.6 ha (6667 plants per ha). Overall, the following eight genotypes with 9 years of roots and 3 years of stems (R9S3) were selected for the purpose of this study: Muur and Vesten (P. deltoides x P. nigra), Hoogvorst (P. thichocarpa x P. deltoides) Grimminge (P. deltoides x P. thichocarpa x P. deltoides), Limatola (P. nigra), Salix alba, Robinia pseudoacacia and Fraxinus oxyphylla. The aboveground dry weight of coppice stand was assessed by measuring stool volume and wood basic density. The volume (Vs, m 3) of individual standing stool was estimated with Eq(1) applying the trees felled method (La Marca, 2004; van Laar and Akça, 2007) ∙ ∙ (1) where g (m2) is the stool basal area, hg (m) is the mean regressed height of quadratic mean diameter and f is the non-dimensional absolute form factor (van Laar and Akça, 2007). Wood basic density was calculated on three wood samples collected along the stem of the felled shoots. Finally, the respective yields were evaluated multiplying the mass of the stool by the effective density of the stool for each monoclonal plot. Differences in stand biometric attributes among studied species and varieties were analyzed by applying a non-parametric Kruskal – Wallis test for independent samples (Analysis of variance by ranks), followed by a non-parametric multiple comparison Dunn test for unequal sample size (Zar, 2010). All the above-mentioned statistical analysis were carrying out considering statically significant a p-value less than 0.05. The Kruskal- Wallis test was done on the data with the kruskal.test function of the native ‘stats’ package, while the Dunn test was performed with the posthoc.kruskal.dunn.test function of the PMCMR package (Pholert, 2014). The fresh biomass was harvested and chipped in a single phase in April, utilizing a self-propelled forage harvester Claas Jaguar 880 (nominal power of 353 kW), equipped with the GBE biomass head. The dried biomass was chipped, at the end of May, with a Farmi Forest CH 260 forestry chipper. Ten trees per each species were cut manually in April, simultaneously with the single-phase harvesting, and stocked in the field for 56 days before comminution. Fresh and dried chips produced respectively by Claas Jaguar forage harvester and Farmi Forest wood disk chipper were collected and examined in order to assess the moisture content and the particle size distribution, according to the standardized characterization procedures EN 14774-2 and EN 17225-4. Moisture content was determined by collecting five samples of about 500 g for each specie and treatment (80 samples for a 272 total mass of 40 kg approximately). The samples, transported to the laboratory in non-breathable bags, were dried in a forced air convection oven at 103 ± 2 °C, until reaching a constant weight. Five samples of 8 L for each species and treatment were collected for the particle size analysis (80 samples for a total volume of 640 liters). Sub-samples of 2.5 - 3 L were used for the sieving in order to avoid overloading of the mechanical sieve shaker. Four sieves (normalized in accordance with ISO 3310-1) were used in order to separate the five following chip length classes: 100–63 mm, 63–45 mm, 45–16 mm, 16–3.15 mm and <3.15 mm. For a better understanding, the fractions were grouped into four functional classes: oversize particles (>63 mm), large chips (63 – 45 mm) accepts (45 – 3.15 mm) and undersize particles (<3.15 mm). The 50–50 MANOVA was used for the particle size distribution analysis. The moisture content were analysed using ANOVA and Duncan’s post hoc test. All statistics were computed by using Past, Statistics and R software (R Core Team, 2014). 3. Results 3.1 Yield and size characteristics of the crops The genotypic means of aboveground dry biomass production, taken at the end of the first rotation coppice, are exhibited in Table 1. The plantation mean of the standing aboveground dry biomass was greater for Limatola, followed by F. oxyphylla. As a consequence, they showed high mean values for annual aboveground dry biomass increments of 14.38 and 10.16 Mg ha-1 y-1, respectively. The first coppice rotation dry biomass yield was not significantly different for Hoogvorst and Vesten. Clone Muur showed a low aboveground dry biomass production, followed by Grimminge and S. alba with a significantly lower production. Additionally, R. pseudoacacia has showed a biomass production not significantly different from hybrid poplar clones. 3.2 Moisture content Moisture content of the fresh biomass ranged between 42.59 % (± 1.23) and 56.84 % (± 0.56) for black locust and white willow, respectively. The dried biomass ranged, instead, between 17.32 % (± 0.67) for willow and 36.80 % (± 1.34) for Limatola. The average reduction of moisture content after storage was 43.97 % (± 13.25) with the highest and lowest rate of dehydration for willow (69.53 % ± 1.19) and poplar Vesten (28.70 % ± 2.13). Welch F test showed the existence of statistically significant differences in moisture content among the species, both for fresh and dried treatment. For the fresh biomass, Duncan post hoc revealed significant differences among these species or groups of species: black locust; Vesten, Grimminge, Hoogvorst, Muur, Limatola, narrow-leaved ash and white willow (Figure 1). For the dried biomass, Duncan post hoc test did not reveal significant differences among poplar hybrid clones Muur, Vesten and black poplar Limatola. Significant differences there were among the mentioned group of species and all other species considered (Figure 1). Figure 1: Moisture content (Mean ± SD) of the species considered, both fresh and after storage. Welch F test of fresh biomass: df: 13.53, F: 104.2, p: 0.000*. Welch F test of dried biomass: df: 13.14, F: 555, p: 0.000*. Duncan's post hoc test: different letters indicate statistically significant differences at the 5 % level. 0 10 20 30 40 50 60 M o is tu re  c o n te n t  (% ) Fresh C C C D A AB EB c b aa a d ef 273 Table 1: Mean dry biomass yields at the end of the first three-year coppice rotation (2012-2014). In brackets are showed first standard deviation. Values sharing the same letters are statistically not different following post-hoc Dunn test (*Kruskall-wallis test: KW=24.73, df=7, p-value<0.01). Species Genotype Yield* (Mg ha-1) P. x euroamericana Grimminge 17.41 (5.67) cd Hoogvorst 25.45 (11.06) bc Muur 20.64 (6.67) c Vesten 25.79 (10.55) bc P. nigra Limatola 43.16 (13.11) a S. alba - 14.92 (2.17) d F. angustifolia - 30.50 (14.56) b R. pseudoacacia - 19.02 (4.79) c 3.3 Particle size distributions Concerning the particle size distribution (Table 2), it is apparent that the presence of large chips (63-45 mm) and oversized (> 63 mm) were extremely limited for the fresh chips, while it is considerably higher for the dried chips. The undersize particles, instead, were very high both for fresh and dried chips ranging from an average value of 11 % and 18 % respectively for fresh and dried chip particles. Accepts chips fraction was the most represented for all species and treatment, accounting over 84 % and 75 % for the fresh and dried chip respectively. The results of 50–50 MANOVA (Table 3) showed a statistically significant difference of the particle size distributions among the species, the harvesting systems and their interaction (p<0.001). Table 2: Percentage particle size distribution of the fresh and dried wood chips. Data were grouped in four functional classes: oversize particles (>63 mm), large chips (63–45 mm) accepts (45–3.15 mm) and undersize particles (<3.15 mm). Species >63 Fresh 63-45 45-3 <3 > 63 Dried 63-45 45-3 <3 P. x eur. Grimminge 1.27 0.47 87.23 11.03 6.61 2.20 75.14 16.05 P. x eur. Hoogvorst 0.56 0.11 89.44 9.89 2.40 0.43 77.71 19.46 P. x eur. Muur 0.56 0.21 89.42 9.81 3.35 1.05 79.97 15.63 P. x eur. Vesten 0.40 0.31 90.60 8.70 1.25 0.94 76.18 21.63 P. nigra Limatola 0.36 0.00 88.83 10.81 2.93 0.89 82.84 13.34 S. alba 0.12 0.28 84.09 15.51 2.90 1.21 77.39 18.50 F. angustifolia 0.63 0.00 87.16 12.21 2.03 0.76 85.68 11.53 R. pseudoacacia 0.24 0.00 90.63 9.13 1.63 2.80 80.95 14.62 Table 3: Results from the 50–50 Manova (for each species and harvesting system n. = 20). DF: Degrees of Freedom; exVarSS: explained variances based on sums of squares; nPC: number of principal components used for testing; nBu: number of principal components used as buffer components; exVarPC: variance explained by nPC components; exVarBU: variance explained by (nPC+nBU) components; p-Value: the result from 50–50 MANOVA testing. Source DF exVarSS nPC nBu exVarPC exVarBU p-Value Species 7 0.148618 3 1 1.000 1.000 <0.001 Harvesting system 1 0.374301 2 2 0.898 1.000 <0.001 Species* Harv. syst. 7 0.125616 3 1 1.000 1.000 <0.001 Error 64 0.351465 - - - - - 4. Conclusions The yield of a biomass plantation is an important factor due its implications on economic and energetic sustainability of the supply chain. Several studies showed a high variability in biomass production of Short Rotation Coppice plantations. Usually it ranged between 3 - 4 Mg ha-1 y-1 and 15 – 20 Mg ha-1 y-1 of dry biomass (Dillen et al., 2007; Ceulemans and Deraedt, 1999; Facciotto et al., 2005; Mareschi et al., 2005; 274 Bergante et al., 2010; Vande Walle et al., 2007; Di Matteo et al., 2012), strongly related to management system of plantation (Njakou Djomo et al., 2015). The aboveground dry biomass productions are included in the above-mentioned range with values between 4.97 Mg ha-1 y-1 and 14.38 Mg ha-1 y-1, with an average productivity of 9 Mg ha-1 y-1. In SRC water supply strongly determine biomass yield of plantation, especially in a low-inputs management system (Aylott et al., 2008; Hauk et al., 2014). Therefore, the different biomass yields exhibited by tested species are most probably due to different tolerance to water stress. The wood species and the harvesting system affect the moisture content and the chip size. The average moisture contents of the trees chipped fresh and dried were 52.47 % and 29.30 % respectively, with significant differences even among the species of the same treatment. The particle size distribution analysis revealed that, independently from the species and the harvesting system, the most represented class size was 45 to 3 mm. Anyway, the comminution of the dried trees leads to a decrease of the chips quantity in this fraction and an increase of the larger size and oversize. The results of this study underline the differences between various species and genotypes in terms of yield productivity and point out how the biomass quality can change as function of the treatment and the species. The large variability observed suggest the possibility to choose the best species or different species mix wood chips or different treatment in order to offer a better product in the commercial biomass marketing, improving the overall efficiency of biomass combustion process. Acknowledgments SRC plantation establishment, management and data collections were financially supported by following research projects: PON-BioPoliS “Development of green technologies for production of BIOchemicals and their use in preparation and industrial application of POLImeric materials from agricultural biomasses cultivated in a sustainable way in Campania region”, “Produzione e stoccaggio di biomasse legnose derivanti da cedui a turno breve (CRAA, Regione Campania, SMA Campania), “Trasferimento di innovazioni nella filiera corta per la produzione, raccolta ed uso di legna da boschi cedui e SRF a fini energetici (Tra. Tec. F.U.L.En.) UE-Regione Campania, PSR 2007-2013, misura 124), “Recupero e riutilizzo delle biomasse legnose in Campania” (Regione Campania-Sesirca) and “Sistemi Innovativi per la produzione di energia Rinnovabile attraverso la Gestione di Impianti di Arboricoltura a ciclo breve” (SINERGIA). Plant material was provided by Alasia Franco vivai (http://alasiafranco.com/). Reference Abdallah R., Auchet S., Méausoone P.J., 2011, Experimental study about the effects of disc chipper settings on the distribution of wood chip size. Biomass and Bioenergy 35(2), 843–852. Aylott M.J., Casella E., Tubby I., Street N.R., Smith P., Taylor G., 2008, Yield and spatial supply of bioenergy poplar and willow short-rotation coppice in the UK. New Phytol 178, 358–370. Barontini M., Scarfone A., Santangelo E., Gallucci F., Spinelli R., Pari L., 2013, The CRA ING experience on storage of poplar wood chips. In: Proceedings of the 21st European Biomass Conference and Exhibition, Copenhagen, Denmark, 170–172. Bergante S., Facciotto G., Minotta G., 2010, Identification of the main site factors and management intensity affecting the establishment of Short-Rotation-Coppices (SRC) in Northern Italy through Stepwise regression analysis. Central European Journal of Biology 5(4), 522-530. Broeckx L.S., Verlinden M.S., Vangronsveld J., Ceulemans R., 2012, Importance of crown architecture for leaf area index of different Populus genotypes in a high-density plantation. Tree Physiol 32(10), 1214-1226. Ceulemans R., Deraedt W., 1999, Production Physiology and growth potential of poplars under short rotation forestry culture. Forest Ecology and Management 121, 9-24. Civitarese V., Del Giudice A., Suardi A., Santangelo E, Pari L, 2015, Study on the effect of a new rotor designed for chipping Short Rotation Woody Crops. Croat. j. for. eng. 36 (1), 101-108. Civitarese V., Faugno S., Pindozzi S., Assirelli A., Pari L., 2015b, Effect of short rotation coppice plantation on the performance and chips quality of a self-propelled harvester. Biosystems Engineering 129, 370-377. Di Matteo G., Sperandio G., Verani S., 2012, Field performance of poplar for bioen-ergy in southern Europe after two coppicing rotations: effects of clone and planting density. iForest 5, 224–229. Dillen S.Y., Marron N., Bastien C., Ricciotti L., Salani F., Sabatti M., Pineld M.P.C., Raed A.M., Taylord G., Ceulemans R., 2007, Effects of environment and progeny on biomass estimations of five hybrid poplar families grown at three contrasting sites across Europe. For Ecol Manage, 252(1-3), 12-23. EN 14774-2, 2009, Solid biofuels. Determination of moisture content. Oven dry method (Part 2): Total moisture, Simplified method. EN ISO 17225-4, 2014, Solid biofuels. Fuel specifications and classes. Graded wood chips (Part 4). 275 Facciotto G., Bergante S., Gras M.A., Mughini G., Nervo G., 2007, Le principali specie per la produzione di biomassa. L’Informatore Agrario 63,36-37 (in Italian). Facciotto G., Bergante S., Lioia C., Mughini G., Nervo G., Giovanardi R., 2005, Short Rotation Forestry in Italy with poplar and willow. In “Proceedings of the 14th European Biomass Conference and exhibition”, Parigi, Francia, 320-323. Groscurth H., De Almeida A., Bauen A., Costa F., Ericson S., Giegrich J., Grabczewski N., Hall D., Hohmeyer O., Jörgensen K., Kern C., Kühn I., Löfstedt R., Da Silva Mariano J., Mariano P., Meyer N., Nielsen P., Nunes C., Patyk A., Reinhardt G., Rosillo-Calle F., Scrase I., Widmann B., 2000, Total costs and benefits of biomass in selected regions of the European Union. Energy 25, 1081-1095. Hauk S., Knoke T., Wittkopf S., 2014, Economic evaluation of short rotation coppice systems for energy from biomass—a review. Renewable Sustainable Energy Rev.29, 435–448. Kauter D., Lewandowski I., Claupein W., 2003, Quantity and quality of harvestable biomass from Populus short rotation coppice for solid fuel use - a review of the physiological basis and management influences. Biomass and Bioenergy 24(6), 411–27. Koseki, H. Evaluation of various solid biomass fuels using thermal analysis and gas emission tests. Energies 2011, 4, 616–627. Jirjis R., 2005, Effects of particle size and pile height on storage and fuel quality of comminuted Salix viminalis. Biomass and Bioenergy 28(2), 193–201. La Marca O., 2004, Elementi di dendrometria (2nd edition). Bologna (in Italian). Lo Monaco A., Todaro L., Sarlatto M., Spina R., Calienno L., Picchio R., 2011, Effect of moistureI on physical parameters of timber from Turkey oak (QuercuscerrisL.) coppice in Central Italy. For. Stud. China 13, 276– 284. Mareschi L., Paris P., Sabatti M., Nardin F., Giovanardi R., Manazzone S., 2005,. Le nuove varietà di pioppo da biomassa garantiscono produttività interessanti. L’Informatore Agrario 18, 49-53 (in Italian). Mitchell C.P., Angus-Hankin C.M., 1996, Evaluation of short rotation forestry harvesters in Europe. In: Chartier P., Ferrero G.L., Henius U.M., Hultberg S., Sachau J., Wiinblad M., Pergamon (Eds.), Biomass for Energy and the Environment. Proc 9th European Bioenergy Conference, 127–132. Nati C., Spinelli R., Fabbri P., 2010, Wood chips size distribution in relation to blade wear and screen use. Biomass and Bioenergy 34(5): 583–587. Njakou Djomo S., Ac A., Zenone T., De Groote T., Bergante S., Facciotto G., Sixto H., Ciria Ciria P., Weger J., Ceulemans R., 2015, Energy performances of intensive and extensive short rotation cropping systems for woody biomass production in the EU. Renewable and Sustainable Energy Reviews 41, 845-854. Pari L, 1999, Development of a short rotation woody crops (SRWC) harvester suitable for the temperate regions. In “Proceedings of the World Renewable Energy Congress”, Perth, Australia, 39-42. Pholert T., 2014, The Pairwise Multiple Comparisons of Mean Ranks Package (PMCMR). R package, http//CRAN.R-project.org/package=PMCMR. R core Team, 2014, R: a language and environment for statistical computing. R foundation for statistical computing Vienna, Austria. URL http//www.R-project.org/. Spinelli R., Nati C., Pari L., Mescalchin E., Magagnotti N., 2012, Production and quality of biomass fuels from mechanized collection and processing of Vineyard pruning residues. Applied Energy 89(1), 374–379. Vande Walle I., Van Camp N., Van de Casteele L., Verheyen K., Lemeur R., 2007, Short-rotation forestry of birch, maple, poplar and willow in Flanders (Belgium)I. Biomass production after 4 years of tree growth. Biomass Bioenergy 31, 267–275. Van Laar A and Akça A (2007) Forest Mensuration. Dordrecht: Springer Netherlands. Verani S., Sperandio G., Picchio R., Marchi E., Costa C., 2015, Sustainability Assessment of a Self- Consumption Wood-Energy Chain on Small Scale for Heat Generation in Central Italy. Energies 8 (6), 5182-5197; doi:10.3390/en8065182. Received: 30 March 2015 / Accepted: 18 May 2015 / Published: 3 June 2015. Wu M.R., Schott D.L., Lodewijks G., 2011, Physical properties of solid biomass. Biomass and Bioenergy 35(5), 2093–2195. Zar Jerrold H., 2010, Biostatistical Analysis. 5 th edition. Pearson Prentice-hall, Upper Saddle River, NJ 276