Disclaimer: The explanation provided on this website (Hotmaps Wiki) are indicative and for research purposes only. No responsibility is taken for the accuracy of the provided information, explanations and figures or for using them for unintended purposes.
Data privacy: By clicking OK below, you accept that this website may use cookies.
This module calculates the energy potential from different biomass sources (forest and agricultural residues) within a NUTS3 region.
This module assess the biomass energy that might be generated from a biomass source. The aims of this CM is to assess the electric and thermal energy that can be used from the biomass potential of NUTS3 regions. The module consider different typology of biomass that can be exploit to produce energy. The CM use the default dataset for the whole EU that are at NUTS3 level. The CM do not consider which is the biomass that can be sustainable used for the energy production.
The input parameters and layers as well as output layers and parameters are as follows.
Input layers and parameters are:
Output layers and parameters are:
The module for each biomass resource available apply a first percentage to reduce the total amount of biomass that can be effectively and realistically collected. For instance for the forestry biomass can have different percentage of biomass collection rate depending on the forestry ground conditions (e.g. slope, terrain roughness) and the mechanization of the process (e.g. use of cable crane, harvester and forwarder, etc.). While for each source the user can select the efficiency in transforming the biomass energy into thermal and electricity energy. The user can select different efficiency per biomass sources, because different source might require different treatment and process.
Here you get the bleeding-edge development for this calculation module.
Pietro Zambelli, in Hotmaps-Wiki, CM - Biomass potential (September 2020)
This page was written by Pietro Zambelli EURAC.
☑ This page was reviewed by Simon Pezzutto EURAC.
Copyright © 2016-2020: Pietro Zambelli
Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons CC BY 4.0 International License.
SPDX-License-Identifier: CC-BY-4.0
License-Text: https://spdx.org/licenses/CC-BY-4.0.html
We would like to convey our deepest appreciation to the Horizon 2020 Hotmaps Project (Grant Agreement number 723677), which provided the funding to carry out the present investigation.
Last edited by web, 2020-09-30 11:29:36