Protocols for spatial analysis to be implemented in the domain editor by WP5 - Allocation of farm types spatially including the new Member states

Agricultural and Food Policy, Environmental Economics and Policy, Land Economics/Use, Production Economics,

A multidimensional farming system typology

Farm Management,

Protocols for spatial allocation of farm types

Farm Management,

Methodological concepts for integrated assessment of agricultural and environmental policies in SEAMLESS-IF

Agricultural and Food Policy, Environmental Economics and Policy, Farm Management, Land Economics/Use,

D3.5 Formalized stepwise approach for implementing logistical concepts using BeWhere and LocaGIStics

This deliverable describes a formalizlogistical concepts in the practicalchains and for assessing theiBeWhere and LocaGIStics. It describesthese two logistical assessment toolsinterlinked so that LocaGIStics can further refine and detail the outcomes of theBeWhere model and that the BeWhere model can use the outcome of theLocaGIStics model to modify their calculations if needed.The BeWhere model supports the development of EUdevelop an optimal network of biomass delivery chainstechno-economic spatial model that enables the optimal design and allocation ofbiomass delivery chains (at national level) based on the minimizatioemissions of the full supply chain taking account economies of scale, in order to meetcertain demand.LocaGIStics is a regional assessment tool for biomass delivery chains. This tool cansupport the user to design optimal biomass deliverlevel and analyze in a comparative way (for different biomass delivery chains) thespatial implications and the environmental and economic performance. It will takeaccount of the biomass costoptions and novel logistical concepts.formalized stepwise approach for implementing optimaldesign of national and regionaltheir economic and GHG performance. the functionality of and the relation betweentools. BeWhere and LocaGIStics are closelyked EU-wide and national strategies tochains. The basis of this tool is adelivery chains and networks at regionalcost-supply, the conversion and pre-treatment technolog

D3.5 Formalized stepwise approach for implementing logistical concepts using BeWhere and LocaGIStics

This deliverable describes a formalizlogistical concepts in the practicalchains and for assessing theiBeWhere and LocaGIStics. It describesthese two logistical assessment toolsinterlinked so that LocaGIStics can further refine and detail the outcomes of theBeWhere model and that the BeWhere model can use the outcome of theLocaGIStics model to modify their calculations if needed.The BeWhere model supports the development of EUdevelop an optimal network of biomass delivery chainstechno-economic spatial model that enables the optimal design and allocation ofbiomass delivery chains (at national level) based on the minimizatioemissions of the full supply chain taking account economies of scale, in order to meetcertain demand.LocaGIStics is a regional assessment tool for biomass delivery chains. This tool cansupport the user to design optimal biomass deliverlevel and analyze in a comparative way (for different biomass delivery chains) thespatial implications and the environmental and economic performance. It will takeaccount of the biomass costoptions and novel logistical concepts.formalized stepwise approach for implementing optimaldesign of national and regionaltheir economic and GHG performance. the functionality of and the relation betweentools. BeWhere and LocaGIStics are closelyked EU-wide and national strategies tochains. The basis of this tool is adelivery chains and networks at regionalcost-supply, the conversion and pre-treatment technolog

D3.4 + D3.6: Annex 1 Results logistical case study Burgundy

The S2Biom project - Delivery of sustainable supply of non-food biomass to support a “resource-efficient” Bioeconomy in Europe - supports the sustainable delivery of nonfood biomass feedstock at local, regional and pan European level through developing strategies, and roadmaps that will be informed by a “computerized and easy to use” toolset (and respective databases) with updated harmonized datasets at local, regional, national and pan European level for EU28, Western Balkans, Moldova, Turkey and Ukraine. In the S2Biom project the logistical case study in Burgundy was the first that was performed. In this report the assessment methods for the logistical case study are described in Chapter 2. This is followed by the set-up of the Burgundy case study in Chapter 3. In Chapter 4 the type of data needed and in Chapter 5 the actual data used are described. Then the results are presented that were obtained by the BeWhere (Chapter 6) and by the LocaGIStics model (Chapter 7). Conclusions and recommendations are given in Chapter 8