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Figure 7.4 Impact of haulage distance on road transport costs. There are some differences in the cost of road transport that are outside the scope of this modelling: Scenarios One and Two, where the wood chip is transported to the factory in end-tip trailers is likely to be most accurately reflected with the cost assumptions. Scenario Three, with the swing-lift trailers, have a much faster unload time at the factory; fifteen minutes compared to one hour for the tipper bins. While this will reduce the cost of transport it is offset by the lower tare weight due to the weight of the swing lift. 7.3.5 Factory Assumptions There are some capital requirements at the factory to handle the wood chip and feed it into the boiler. These would typically include a hard stand area, a front-end loader and a conveyer/feed mechanism. A ball park figure might be around one million dollars for this equipment. Running costs of the loader, if assumed to be similar to a sugar cane harvester, might be in the order of $3.00 to $4.00 per tonne. These are not costed into the modelling. 7.4 Sensitivity Analyses A series of sensitivity analyses was undertaken. The base case was Scenario Two (moderate capital cost system with tipper bins) for a 20 MW plant (144,000 green tonnes) at an elevator pour rate of 30 green tonnes per hour in the high density scenario (belt spacing of 75 m). The results of these sensitivity analyses are given below. 7.4.1 Capital Costs The impact of infield (harvester and haulout) equipment on harvesting costs is illustrated in Figure 7.5 below. Capital cost has some impact on the cost of harvest but is not significant. The selection of capital equipment is important as it can bring inherent efficiencies. It is also important that infield equipment is suited to the adverse conditions found in mallee harvesting. 165
Figure 7.5 Effect of capital equipment selection and cost on harvesting cost. 7.4.2 Belt Spacing and Planting Density The same spatial data was used throughout for consistency and the belt spacing was varied by using a belt spacing of 75, 150 and 225 metres to represent high, medium and low planting densities respectively. This resulted in yields of 6.4, 3.2 and 2.1 green tonnes per paddock hectare respectively. Time spent moving from field to field was modelled as 3%, 6% and 9% respectively to represent increasing time spent moving as the planting density decreases. The effect of belt spacing on harvest cost is shown in Figure 7.6 to be limited. This is primarily due to the large proportion of time the harvester spends chipping in the row relative to the time spent moving between field and rows. 166
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Sustainable Biomass Supply Chain fo
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Foreword This report provides an as
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include business development (new p
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Acknowledgments The authors would l
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4.1 Product Options and Supply Chai
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Table 4.2 Assessment of current val
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Figure 3.4 Tracked rigid self-prope
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Executive Summary What the report i
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• Biomass production potential of
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• As the Industry expands, the mo
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Harvesting, transport and storage s
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Biomass processing, supply chain pl
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Key barriers to biomass industries
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Crop-Biomass Production Production
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Figure 1.1 The cropping and pasture
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Table 1.1 Mallee species used for p
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1.1.4 Growth Cycle Mallee System Ma
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northern New South Wales (where it
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Almost 80% of the industry now cuts
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Bark has relatively high ash but as
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Carbon sinks Planting of mallees to
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Table 1.5(a) State Land area devote
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out the fluctuations in farm income
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Mallee system Most of the mallee bi
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inconclusive result may have been d
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For a sustainable woody crop indust
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changed significantly since they we
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Figure 2.2 Biosystems Engineering p
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Whole-of-crop harvesting represents
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During the last decade the harvesti
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single row, as this would improve t
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2.2.2.2 Weight Sugar System The Aus
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Table 2.1 Harvester Comparison Tabl
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The quality of cut may be less impo
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ate than a 170 tonne/ha crop of sta
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Dry Leaf 6.1 - 3.5 17.0 58.9 53.2 T
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Bulk density will be a key consider
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Table 2.4 EM levels in cane supply
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L/T L/T 60 0.97 0.71 80 0.92 0.66 1
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Total 7.5-26 16.5 Mallee System The
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• waiting for mill delivery of em
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perhaps at 10 - 20 km intervals. Th
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transport arrangements, harvest gro
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contractors and growers, and the fa
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experience of the sugar industry wi
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Table 2.11 Alternative harvest paym
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onto the harvester. BR+F still send
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Repairs and maintenance 2.10 Capita
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Figure 2.14 and Table 2.14 describe
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Sichter et al. (2005)), harvest and
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Transport efficiencies may be possi
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3. Transport and Storage Systems Tr
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same time, the potential problems o
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Figure 3.3 Articulated self-propell
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• The harvester will not have any
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Figure 3.7 Gross mass compared with
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external factors dramatically impac
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Figure 3.11 The effect of haulout t
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3.3 Road Transport 3.3.1 Configurat
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Figure 3.15 shows an example of the
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Road distance one way < 20 km 70 km
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Haul distance is largely outside th
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3.6 Recommendations The nature of t
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• The strategy offered lower tota
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sugarcane billets are such that wit
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• Transfer the whole tree product
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Figure 4.5(b) Energy balance of con
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2010). Table 4.2 presents a summary
Page 137 and 138: 4.4.2 Activated charcoal Activated
Page 139 and 140: Nett Product Value ($/t) $475.00 $
Page 141 and 142: Table 4.9 presents an estimation of
Page 143 and 144: • Oil from leaf @ $2/kg • Synth
Page 145 and 146: • The mallee oil would be extract
Page 147 and 148: 5. Industry and Business Structures
Page 149 and 150: is conducted into tariff levels on
Page 151 and 152: Bx is % brix in first expressed jui
Page 153 and 154: Hildebrand (2002) estimated that th
Page 155 and 156: also has a flow on effect to the sp
Page 157 and 158: Sugar Industry Illustrative Example
Page 159 and 160: with super size multi-lift bins ove
Page 161 and 162: farmer vs. harvester) is the next l
Page 163 and 164: 6. Supply Chain Planning and Manage
Page 165 and 166: Figure 6.1 Building blocks of the s
Page 167 and 168: weighed against the costs of operat
Page 169 and 170: • There is close contact between
Page 171 and 172: 6.4 Planning, Management Tools and
Page 173 and 174: • Harvest and transport logistics
Page 175 and 176: interface. The system allows users
Page 177 and 178: Case Study 6.2 - Model Application
Page 179 and 180: Relationships between sectors and p
Page 181 and 182: 7. Supply Chain Modelling and Econo
Page 183 and 184: It was assumed that there was a fif
Page 185 and 186: Table 7.2 Scenario two capital equi
Page 187: Table 7.4 Fuel burn rates harvester
Page 191 and 192: Figure 7.7 Effect of annual tonnes
Page 193 and 194: 30 1.8 7.0 12.3 17.5 50 1.1 4.3 7.6
Page 195 and 196: 8. Conclusions and Recommendations
Page 197 and 198: Biomass bulk density has a large im
Page 199 and 200: Vehicles used for infield haulout w
Page 201 and 202: This can be compared with harvest a
Page 203 and 204: While diversification can add value
Page 205 and 206: Appendix 1: Comparative Assessment
Page 207 and 208: and transport conditions. Billet le
Page 209 and 210: that cane production is the most pr
Page 211 and 212: on sugar only, other proceeds (mola
Page 213 and 214: References Agnew, J 2002. A Partici
Page 215 and 216: Enecon 2001. Integrated Tree Proces
Page 217 and 218: Keating, BA, Antony, G, Brennan, LE
Page 219 and 220: Ridge, DR and Linedale, AL, 1997. T
Page 221: Willcox, T, Hussey, B, Chapple, D a
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