Title:
Energy Planning According to a Demand-Driven Approach. How to Match Energy Use and Biomass Availability at Regional Scale
Author(s):
Cammerino, A.R.B., Garofalo, P., Monteleone, M., Koukios, E.
Document(s):
Paper
Poster
Abstract:
Energy planning is a strategic tool to assess a possible matching between actual biomass availability and energy uses. The “supply-driven” approach is based on the energy resource assessment while “demand-driven” methodologies are mainly focused on the integration of different types of options, on a given territory, in order to define the most effective, least-cost and environmental appropriate solutions to meet energy needs. The methodology presented in this paper is a “demand-driven” approach. This kind of approach was only recently taken into consideration in the framework of the international studies related to renewable energies. A georeferred balance between the energy requested by the manufacturing sector and the effective energy which can be produced taking into account the local biomass availability from agricultural residues was performed. The optimal combination of regional dispersed energy demand and supply is thus the purpose of the work. The analysis showed that the match between energy supply and demand can be achieved in this case study and that an energy surplus is potentially available for other purposes. The spatial information have been processed using a Geographical Information System (GIS) and thematic maps have been produced to geographically detect and locate “clusters” of optimal combination in energy supply and demand. The identification of self-sufficient clusters is in line with what is claimed at European level: a transition model from fossil energy production, based on centralized power plant, to a new system in which energy should be renewable, locally produced and locally consumed. The size of power plants assigned to each cluster is in most cases less than 10 MW. This is in line with the concept of “distributed power generation” and supports the energy model previously defined.
Keywords:
agricultural residues, geographical information system (GIS), supply, energy demand, energy cluster
Topic:
Biomass Resources
Subtopic:
Biomass potentials and biomass mobilisation
Event:
22nd European Biomass Conference and Exhibition
Session:
1CV.3.23
Pages:
165 - 169
ISBN:
978-88-89407-52-3
Paper DOI:
10.5071/22ndEUBCE2014-1CV.3.23
Price:
FREE
