### Abstract

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.

Original language | English |
---|---|

Publication status | Published - 2008 |

Event | Proceedings Ageng2008 congress - Duration: 23 Jun 2008 → 25 Jun 2008 |

### Conference

Conference | Proceedings Ageng2008 congress |
---|---|

Period | 23/06/08 → 25/06/08 |

### Keywords

- biomass production
- bioenergy
- linear models
- agro-industrial chains
- geographical information systems

## Fingerprint Dive into the research topics of 'Mathematical algorithm to transform digital biomass distribution maps into linear programming networks in order to optimize bio-energy delivery chains'. Together they form a unique fingerprint.

## Cite this

Velazquez-Marti, B., & Annevelink, E. (2008).

*Mathematical algorithm to transform digital biomass distribution maps into linear programming networks in order to optimize bio-energy delivery chains*. Paper presented at Proceedings Ageng2008 congress, . https://edepot.wur.nl/4121