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Coverage |
Emilia Romagna Region (EM), Italy |
Project time |
January – February 2008 |
Objectives/scope |
Main scope of the study was to contribute to the definition of a methodology for the definition and delineation of bioenergy districts. The analysis of Regione Emilia Romagna was conducted in order to test and exemplify the elements of the proposed methodology. |
Institutional settings |
RENEWED Project - Work Package 2 - Identification and definition of Bio-energy Districts (BD). Task 2.5 Analysis of info & identification of BDs. Task 2.6 Validation/Tuning of the BD analysis model. |
Scale/resolution |
Raster analysis resolution: 300 x 300 m grid cell; Sub-national units: County (Comune, 341 units). In addition, sub-provincial territorial units called Regioni Agrarie (agricultural regions) were used in relation to agricultural crop statistics. |
Demand features |
The demand for woody biomass produced in the WISDSOM Italy, relative to ER, was here complemented by non woody biomass consumption. |
Supply features |
The potential available supply of woody biomass produced in the WISDSOM Italy, relative to ER, was here complemented by dry and wet non woody biomass sources: |
Integration features |
Balance between supply and demand was assessed spatially, based on raster data analysis, and at county level, considering current consumption and potential supply of dry biomass (woody and non) as well as various hypothetical levels of dedicated bioenergy cropping. |
Woodshed/bio-shed analysis |
The delineation of bioenergy districts was based on woodshed analysis based on selected hypothetical biomass plants (located in dismissed sugar processing plants) with given capacities and various supply scenarios implying only current biomass productivity as well as various dedicated bioenergy cropping levels. |
Integration with other aspects |
The “conventional” WISDOM layers were combined with potential bioenergy crops (SRF of poplars and robinia spp and sorghum) that could be established on unutilized agricultural lands and/or on “set aside” farm areas. |
Findings/conclusions |
The factors that determine the size and delineation of a bio-district, in its first-level definition, depend primarily on the geographic relation between potential sustainable biomass supply and current or projected biomass demand. |
Publications |
Work carried out by Rudi Drigo and Nicola Stanzani for CRPV (Soc. Coop.) in the framework of the WP2 of IEE Project RENEWED. |