Table 1. Main and sub-scenarios used in the study. Past (max. 60 tonnes) and current (max. 64 tonnes) road transport dimensions for traditional and container supply chains were compared. Additional sub-scenarios for current dimensions treat alternative numbers of trucks and wagons. Main scenarios: Sce. 1 = current use, Sce. 2 = additional use (by truck), and Sce. 3 = additional use (by train). | |||
Sub-scenarios | Main scenarios | ||
Sce. 1 | Sce. 2 | Sce. 3 | |
Traditional | |||
Past dimensions | 1.1.1 | 2.1.1 | 3.1.1 |
Current dimensions | 1.1.2 | 2.1.2 | 3.1.2 |
a. Sub-scenario | 1.1.3 | 2.1.2 | 3.1.3 |
b. Sub-scenario | 3.1.4 | ||
Container | |||
Past dimensions | 1.2.1 | 2.2.1 | 3.2.1 |
Current dimensions | 1.2.2 | 2.2.2 | 3.2.2 |
a. Sub-scenario | 1.2.3 | 2.2.3 | 3.2.3 |
b. Sub-scenario | 3.2.4 |
Table 2. Target demand of case power plant for forest chips (GWh). Sce. 1 = current use, Sce. 2 = additional use (by truck), and Sce. 3 = additional use (by train). | |||
Biomass demand, GWh | |||
Sce. 1 | Sce. 2 | Sce. 3 | |
Base demand of Sce. 1 | - | 540 | 540 |
Logging residues | 300 | 80 | 100 |
Small-diameter trees | 240 | 120 | 100 |
Total | 540 | 740 | 740 |
Table 3. Used purchase price and annual costs of machines and vehicles used in the simulation model. Prices and costs are presented without Value Added Tax (VAT, 0%). | |||
Cost element | Purchased price, € | Annual fixed cost, €/a | Variable cost, €/unit |
Truck transport (Sce. 1, 2 and 3) | |||
Roadside chipper | 450 000 | 285 000 | 3 €/tn |
Container truck | 270 000 | 83 000 | 0.012 €/tnkm |
Unloading machine | 85 000 | 57 519 | 11.07 €/container |
Solid-frame truck | 265 000 | 86 000 | 0.012 €/tnkm |
Railway transport (Sce. 3) | |||
Locomotive and wagons | 2 200 000 | 319 039 | |
Intermodal composite container | 15 000 | 5400 | 0.016 €/tnkm |
Metal container | 8390 | 3036 | 0.013 €/tnkm |
Front-loader | 205 000 | 154 202 | - |
Forklift loader | 250 000 | 179 023 | - |
Unloading machine | 85 000 | 57 519 | 11.07 €/container |
Table 4. Railway transportation cost structure components (%-share) as an example for intermodal composite and interchangeable metal containers. | |||
%-share | Cost component | Metal containers | Intermodal composite containers |
Fixed costs | Locomotive and wagons | 15 | 11 |
Rail infra | 13 | 9 | |
Containers | 16 | 36 | |
Variable cost | Operational cost (363 km) | 40 | 33 |
Gross tonne cost | 10 | 7 | |
Maintenance | 5 | 4 | |
Total cost | 100 a) | 100 a) | |
a) Total annual cost of railway transportation (180 trips and 20 wagons) was 1 136 000 € for metal containers and 1 586 000 € for intermodal composite containers. |
Table 5. Average efficiency (minutes/unit) of loading and unloading (Sce. 1, 2 and 3). | ||
Transport option | Efficiency, minutes/unit | |
Loading (min–max) | Unloading (min–max) | |
Truck transport | ||
Traditional truck | ||
Sce. 1 and 2 | 50–80/truck | 25–35/truck |
Sce. 3 (terminals) | 50–80/truck | 25–35/truck |
Container truck | ||
Sce. 1 and 2 | 50–80/truck | 8–10/container |
Sce. 3 (terminals) | 50–80/truck | 4–6/container |
Railway transport | ||
Intermodal composite container | 1–3/container | 5–7/container |
Metal container | 2–3/container | 5–7/container |
Table 6. Roadside cost of logging residues and small-sized trees used in this study (€/MWh). | |||||
Cost (€/MWh) | Overhead cost | Stumpage price | Logging cost | Forwarding cost | Total roadside cost |
Logging residues | 0.5 | 0.5 | 0.2 | 2.9 | 4.1 |
Small-diameter trees | 1.0 | 3.0 | 9.1 | 2.7 | 15.8 |
Table 7. Number of trucks used to fulfil the demand target of the scenarios in the simulation model. | ||||
Number of trucks and wagons in the demand target of the scenarios | Sce. 1 (trucks) | Sce. 2 (trucks) | Sce. 3 (trucks) | (wagons) |
Traditional truck | ||||
Past dimensions | 10 | 18 | 14 | 20 |
Current dimensions | 8 | 14 | 12 | 20 |
a. Sub-scenario | 10 | 16 | 12 | 15 |
b. Sub-scenario | 14 | 15 | ||
Container truck | ||||
Past dimensions | 8 | 12 | 12 | 20 |
Current dimensions | 6 | 10 | 10 | 20 |
a. Sub-scenario | 8 | 12 | 12 | 20 |
b. Sub-scenario | 12 | 15 |
Table 8. Simulated delivery and cost results of traditional and container supply chains for forest chips based on current dimension scenarios. Target demand results (200, 540 and 740 GWh/a) are also included. Scenarios are presented in Table 1. | |||||
Scenarios | Delivery | Cost | |||
Main scenarios | Sub-scenarios | Total, GWh/a | Railway, GWh/a | milj. €/a | €/MWh |
Traditional | |||||
Sce. 1 | 540 | 8.7 | 16.2 | ||
1.1.2 | 537 | 8.6 | 16.1 | ||
1.1.3 | 637 | 10.4 | 16.4 | ||
Sce. 2 | 740 | 13.6 | 18.3 | ||
2.1.2 | 730 | 13.3 | 18.2 | ||
2.1.3 | 787 | 14.7 | 18.6 | ||
Sce. 3 | 740 | 13.8 | 18.7 | ||
200 | (4.7) | (23.3) | |||
3.1.2 | 721 | 13.0 | 18.0 | ||
237 | (4.8) | (20.2) | |||
3.1.3 | 661 | 13.2 | 20.0 | ||
178 | (4.7) | (26.5) | |||
3.1.4 | 757 | 13.8 | 18.2 | ||
178 | (4.4) | (24.8) | |||
Container | |||||
Sce. 1 | 540 | 8.3 | 15.4 | ||
1.2.2 | 482 | 7.4 | 15.3 | ||
1.2.3 | 638 | 9.7 | 15.3 | ||
Sce. 2 | 740 | 11.9 | 16.1 | ||
2.2.2 | 709 | 11.6 | 16.3 | ||
2.2.3 | 834 | 13.7 | 16.4 | ||
Sce. 3 | 740 | 12.4 | 16.7 | ||
200 | (4.4) | (22.2) | |||
3.2.2 | 654 | 11.1 | 16.9 | ||
226 | (4.6) | (20.3) | |||
3.2.3 | 788 | 13.0 | 16.5 | ||
226 | (4.7) | (20.8) | |||
3.2.4 | 725 | 12.6 | 17.4 | ||
170 | (4.4) | (25.8) |
Table 9. Average driving distances (in parentheses: maximum driving distance) by the trucks based on availability analysis for the target demand scenarios. | |||
Distance, km | Sce. 1 | Sce. 2 | Sce. 3 |
Logging residues | 61 (92) | 69 (103) | 59 (88) |
Small-diameter energy wood | 81 (121) | 96 (144) | 71 (106) |
Average | 71 (107) | 83 (124) | 65 (98) |