Dynamic Simulation of Bioenergy Facility Locations with Large Geographical Datasets - A Case Study in European Region

Abstract

An agent-based simulation model was developed to account for the dynamic features of biomass feedstock logistics, including the large variety of supply and demand over time. The feedstock availability data is based on a geographical information system (GIS) analysis that covers 37 countries in Europe. The results may be used to optimize demand sites properties and compare the feasibility of different demand site locations. Out of eight locations, three were found have low fuel acquiring costs and the other five could use long distance transportation to mitigate low supply of local biomass. Dynamic simulations flexibility makes it possible to integrate the model with a large database. The agent-based model with the large database from GIS provides a cost-efficient method to study and compare the geographical properties with a temporal factor of logistics, and it can be utilized as a tool for decision making of forest-based bioenergy facilities.