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 Amandus Kahl

Commercial name Amandus Kahl
Main category Drying
Subcategory Forced drying: belt dryer
Image url http://www.akahl.de/akahl/de/home/index.php
Most common/suitable applications Drying solid biomass
Main operating principle:
The plants which are individually composed of modules ensure convectional drying using hot air. Thanks to an intelligent control system, the KAHL fabric belt drier adapts to varying moisture degrees and climatic conditions
Level of commercial application
Year of first implementation in practice
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

Energy demand (MJ/t)4500
Type of energy needed Heat
Other input demand Electricity
Pre-treatment efficiency (output/input)
Input processing capacity (t/h)
Storage capacity for input (t)
Storage capacity for output (t)
Number of full load hours per year (h)8000
Maximum load volume of transport system (m3)
Maximum load weight of transport system (t)
Typical lifetime of equipment (years)15
Labour requirements pre-treatment (h/t)
Labour requirements storage (h/t)
Labour requirements transport (h/t)
Transportability Semi-mobile

Acceptable biomass input groups Crop; Wood;
Received (intermediate) biomass type Chips
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 10 Maximum 55
Bulk density input (kg/m3, wet base) Minimum 320 Maximum 550
Maximum input level of contamination with exogenous material (%, dry base)
Maximum ash content input (%, dry base)

Indication of follow up process(es) Combustion; Gasification; Pyrolysis; Torrefaction;

Delivered (intermediate) biomass type Pellets
Dimensions D06: 6 mm ± 1,0 mm and 3,15 mm < L <= 40 mm Fine fraction F1.0: <= 1,0 %

Moisture content output (%, wet base) Minimum 7 Maximum 10
Bulk density output (kg/m3, wet base) Minimum Maximum 320
Maximum output level of contamination with exogenous material (%, dry base)
Maximum ash content output (%, dry base)

Specific investment costs of equipment, included auxiliaries (€)400000
Operation and maintenance costs (€/t)1
  -    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 railway network

Edited by: Rik te Raa