Many linear programming models have been developed to model the logistics of bio-energy chains. These models help to determine the best set-up of bio-energy chains. Most of them use network structures built up from nodes with one or more depots, and arcs connecting these depots. Each depot is source of a certain biomass type. Nodes can also be a storage point for a certain biomass type or a production facility (e.g. power plant) where the biomass is used. Arcs represent transport between depots. To be able to combine GIS spatial studies with linear programming models it is necessary to build a network from a digital map. In this work a mathematical calculation method is developed to select the actual points on the map where to collect biomass that will then be considered as biomass sources in a network model.
|Publication status||Published - 2008|
|Event||Agricultural & Biosystems Engineering for a Sustainable World - |
Duration: 23 Jun 2008 → 25 Jun 2008
|Conference||Agricultural & Biosystems Engineering for a Sustainable World|
|Period||23/06/08 → 25/06/08|
- biobased economy
- mathematical models
- supply chain management
- geographical information systems
Velazquez-Marti, B., & Annevelink, E. (2008). Mathematical algorithm to relate digital maps of distribution of biomass with algorithms of linear programming to optimize bio-energy delivery chains. Paper presented at Agricultural & Biosystems Engineering for a Sustainable World, .