The transition towards the circular economy (CE) is fundamentally reshaping Italian agrifood systems, thus enhancing sustainability. The aim of this research is to establish a spatially advanced framework for quantifying, monitoring, and valorizing agricultural residues, supporting their transition from being disposed of to being a valuable secondary material for renewable bioenergy. This study provides a provincial-scale territorial screening of selected agricultural residues in Italy based on a five-year average dataset (2020–2024) of apples, peaches, grapes, fava beans, peas, lentils, and chickpeas. The main contribution lies in combining crop-specific residue quantification, GIS-based mapping, and Local Moran’s I analysis to identify spatial clusters of theoretical bioenergy potential. The results indicate a geographically polarized pattern, with northern areas, such as Bolzano, which offers over 1.06 million GJ, exhibiting substantial potential driven by apple orchards. Conversely, southern regions have emerged as major contributors to grape- and legume-derived bioenergy potential. The integration of geospatial intelligence with the assessment of agricultural residues and their energy potential supports the implementation of circularity by optimizing biomass logistics, providing practitioners and stakeholders with environmental and economic data for improved sustainability performance.

GIS-Based Assessment of Selected Agricultural Residues and Bioenergy Potential: A Spatial Approach Towards Sustainability

Annarita Paiano
;
Marko Drizaku;Teodoro Gallucci
2026-01-01

Abstract

The transition towards the circular economy (CE) is fundamentally reshaping Italian agrifood systems, thus enhancing sustainability. The aim of this research is to establish a spatially advanced framework for quantifying, monitoring, and valorizing agricultural residues, supporting their transition from being disposed of to being a valuable secondary material for renewable bioenergy. This study provides a provincial-scale territorial screening of selected agricultural residues in Italy based on a five-year average dataset (2020–2024) of apples, peaches, grapes, fava beans, peas, lentils, and chickpeas. The main contribution lies in combining crop-specific residue quantification, GIS-based mapping, and Local Moran’s I analysis to identify spatial clusters of theoretical bioenergy potential. The results indicate a geographically polarized pattern, with northern areas, such as Bolzano, which offers over 1.06 million GJ, exhibiting substantial potential driven by apple orchards. Conversely, southern regions have emerged as major contributors to grape- and legume-derived bioenergy potential. The integration of geospatial intelligence with the assessment of agricultural residues and their energy potential supports the implementation of circularity by optimizing biomass logistics, providing practitioners and stakeholders with environmental and economic data for improved sustainability performance.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/592361
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