Optimised land use in combination with an optimisation of – mostly competitive – biomass utilization paths represents an increasing challenge in the context of the actual climate- and energy policy. A sustainable and efficient use of available areas is therefore more necessary than ever.
With the current project “BioSpaceOpt” a transferable and scientifically profound model framework for the assessment and optimisation of regional biomass utilization paths is developed. This tool can contribute substantially to the development and implementation of optimised regionally specific and spatially explicit biomass utilization strategies. Based on regionally specific conditions geographically explicit growth rates and yields of relevant crops, crop rotations, grasslands and forest types as well as demand structures for energy in terms of heat and electricity are estimated. Furthermore the demand for food and biofuels for the region of interest is estimated and included in the model framework.
The model based implementation is carried out with a raster based approach. It is intended to obtain a spatial resolution of 250 m raster cells. Background of this approach is, besides the explicit inclusion of local conditions regarding the feasible utilization of biomass, also the inclusion of the geographic setup of the existing and future biomass utilization system.
Regional statistic data and land use data on a raster basis represent the major data basis for the model framework. Furthermore the model is based on data on climatologic influences and possible changes as well as cost structures, ecological and social factors. On this basis individual feasible biomass utilization paths are identified for the region of interest and their respective contribution in an optimal setup of the region regarding biomass use.
Emissions, costs, ecological factors as well as land use competition are the relevant criteria for this integrative assessment and optimisation approach. Based on different assumptions on future price developments for biomass and aspects of climate changes individual scenarios of an optimised regional biomass utilization are illustrated. The modelling results serve as a sensitising instrument and as a basis for decision making processes regarding a regional biomass strategy. The model results offer a vital support for regional participatory processes and illustrate causal connections within the utilization of biomass resources. Additionally cartographic visualisations encourage the sensitising regarding possible future changes. The developed model framework will be exemplarily implemented as a case study for the region of Sauwald. The methodology and results of the model framework will be customized for the interested public via a WebGIS application presented on a project website.