Currently, the use of a mix of renewable and traditional energy sources is deemed to help in solving increasing energy demands and environmental issues, thus making it particularly important to assess the availability of renewable energy sources. In a heavily forested region, such as the Italian Alps, one of the main renewable energy sources is woody biomass. A reliable evaluation of biomass availability must take into account the local management of forest resources and the ability to reach forest areas, which is related to existing road networks, and the characteristics and morphology of the terrain. We have developed a new methodology to estimate forest biomass availability for energy production in the Alpine area and to support management decisions, combining the morphological features of the mountain landscape with the current capabilities of forest technology. The approach has been implemented in a tool for forest biomass evaluation based on the Free and Open Source Software for Geospatial (FOSS4G) framework and to refine the current estimates made by the local government. The methodology was tested on the forests of Trentino province (Italy), providing an accurate evaluation of biomass availability, which can be effectively used to identify possible locations for biomass power plants and to suggest new forest management guidelines. The methodology, combining GRASS, PostgreSQL and PostGIS, can be applied to a wide area and can also be executed as a new GRASS module. Being open source it is already available for testing and development.

A GIS decision support system for regional forest management to assess biomass availability for renewable energy production / Zambelli, Pietro; C., Lora; R., Spinelli; Tattoni, Clara; Vitti, Alfonso; Zatelli, Paolo; Ciolli, Marco. - In: ENVIRONMENTAL MODELLING & SOFTWARE. - ISSN 1364-8152. - STAMPA. - 38:(2012), pp. 203-213. [10.1016/j.envsoft.2012.05.016]

A GIS decision support system for regional forest management to assess biomass availability for renewable energy production

Zambelli, Pietro;Tattoni, Clara;Vitti, Alfonso;Zatelli, Paolo;Ciolli, Marco
2012-01-01

Abstract

Currently, the use of a mix of renewable and traditional energy sources is deemed to help in solving increasing energy demands and environmental issues, thus making it particularly important to assess the availability of renewable energy sources. In a heavily forested region, such as the Italian Alps, one of the main renewable energy sources is woody biomass. A reliable evaluation of biomass availability must take into account the local management of forest resources and the ability to reach forest areas, which is related to existing road networks, and the characteristics and morphology of the terrain. We have developed a new methodology to estimate forest biomass availability for energy production in the Alpine area and to support management decisions, combining the morphological features of the mountain landscape with the current capabilities of forest technology. The approach has been implemented in a tool for forest biomass evaluation based on the Free and Open Source Software for Geospatial (FOSS4G) framework and to refine the current estimates made by the local government. The methodology was tested on the forests of Trentino province (Italy), providing an accurate evaluation of biomass availability, which can be effectively used to identify possible locations for biomass power plants and to suggest new forest management guidelines. The methodology, combining GRASS, PostgreSQL and PostGIS, can be applied to a wide area and can also be executed as a new GRASS module. Being open source it is already available for testing and development.
2012
Zambelli, Pietro; C., Lora; R., Spinelli; Tattoni, Clara; Vitti, Alfonso; Zatelli, Paolo; Ciolli, Marco
A GIS decision support system for regional forest management to assess biomass availability for renewable energy production / Zambelli, Pietro; C., Lora; R., Spinelli; Tattoni, Clara; Vitti, Alfonso; Zatelli, Paolo; Ciolli, Marco. - In: ENVIRONMENTAL MODELLING & SOFTWARE. - ISSN 1364-8152. - STAMPA. - 38:(2012), pp. 203-213. [10.1016/j.envsoft.2012.05.016]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/92289
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