Welcome to the logistical component database which you can access underneath (click on numbers in last column)!

The database on logistical components was elaborated in WP3.  In the underneath table an overview is given of all logistical components included in the database organised in categories and sub-categories according to the main functionalities it has. In the last column of the table users can click on the icon to enter the detailed characteristics of every logistical components included in the database. It includes a long list parameters for pre-treatment, storage and transport technologies that are needed to deliver biomass feedstock of a specified quality at the correct moment to a processing technology. In the current version of the database per conversion technologies parameters are specified on general properties (e.g. functionality, technology readiness and number of systems already in operation), technical properties, biomass input and output specifications and financial and economic properties. 

A logistical component is one of the links in the biomass value chain from biomass to (final) conversion. Examples are pre-treatment, storage and transport technologies that are needed to deliver biomass feedstock of a specified quality at the correct moment to a processing technology. Before the database was filled a selection was made of relevant logistical components and how they needed to be characterised in the database. This is described in D3.1 together with an overview of the populated database.  Using the information on logistical componenents and making an inventory of existing logistical value chains developed in various European projects, the most important logistical concepts were characterised in D3.2

The logistical concepts selected and described in WP3 have been further tested in several case studies using different tools supporting the design and evaluation of biomass delivery chains through formalised steps and evaluation indicators. The LocaGIStics and BeWhere tools were developed and implemented in a stepwise approach for the regions of Burgundy and Aragon . The reports can be accessed here: Burgundy case study, Aragon logistical case study. For the Finish case study the BeWhere and the Witness simulation models were implemented and this is described here: Finland logistical case study. An overview of all 3 case studie approaches and key messages is given in deliverable D3.4 & 3.6

Logistical components Logistical components


View details of Willibald ESU 4800

Commercial name Willibald ESU 4800
Main category Size reduction
Subcategory Chipping: drum chipper
Image url
Most common/suitable applications Processing wood residues after harvesting
Main operating principle:
Hammer crusher is more interesting when there are abundant impurities stone or abrasive grit. The information has been found in books on field experiences.
Level of commercial application
Year of first implementation in practice 2006
Estimated number of systems in operation since introduction
Current Technology Readiness Level in 2014 Level 9, System ready for full scale deployment
Expected Technology Readiness Level in 2030 Level 9, System ready for full scale deployment
Tolosana, E., Laina, R., Martínez-Ferrari, R., Donaire, D., Flores, S., Sánchez-Redondo, E., Valdés, L., Navas, A., and Ambrosio, Y., 2009. Manual de buenas prácticas para el aprovechamiento integral de biomasa en claras sobre repoblaciones de Pinus Sylvestris L. y Pinus pinaster Ait. ed. CESEFOR Government of Castilla y León. ISBN: 978-84-613-5529-7.

Energy demand (m3/h)0.044
Type of energy needed Diesel
Other input demand
Pre-treatment efficiency (output/input)
Input processing capacity (t/h)31.6
Storage capacity for input (t)
Storage capacity for output (t)
Number of full load hours per year (h)
Maximum load volume of transport system (m3)
Maximum load weight of transport system (t)
Typical lifetime of equipment (years)4
Labour requirements pre-treatment (h/t)
Labour requirements storage (h/t)
Labour requirements transport (h/t)
Transportability Mobile

Acceptable biomass input groups Wood: forestry;
Received (intermediate) biomass type Whole tree
Minimum particle size input length (mm) width / diameter (mm) height (mm)
Maximum particle size input length (mm) width / diameter (mm) height (mm)
Moisture content input (%, wet base) Minimum Maximum
Bulk density input (kg/m3, wet base) Minimum Maximum
Maximum input level of contamination with exogenous material (%, dry base)
Maximum ash content input (%, dry base)

Indication of follow up process(es) Transport;

Delivered (intermediate) biomass type Wood chips
Dimensions P16S: 3,15 mm < P < 16 mm Fine fraction F05: < 5 %

Moisture content output (%, wet base) Minimum Maximum 60
Bulk density output (kg/m3, wet base) Minimum Maximum 350
Maximum output level of contamination with exogenous material (%, dry base)
Maximum ash content output (%, dry base) 2

Specific investment costs of equipment, included auxiliaries (€)
Operation and maintenance costs (€/t)4
  -    Calculation method   Effective operation time
Storage costs (€/t)
Loading costs (€/t)
Unloading costs (€/t)
Transport costs per kilometer (€/km)
Transport costs per tonne (€/t)
Transport costs per load (€)
Transport costs fixed (€)
Infrastructure needed  Connection to road network

Edited by: Daniel García Galindo