Objective
The changes that may occur in an energy system, as the result of major structural interventions, are difficult to foresee. This project aims at the development of an appropriate method and tool for the elucidation of possible optimum courses to be followed. Care will be given to the incorporation of renewable and soft energies in the energy system, especially those of remote islands.
Energy demand projections for Crete indicate a mean annual increase of at least 3.3%. The highest rates are predicted to be in the sectors of tourism and transport. The results identified that Crete has a very high demand for liquid fuels, mostly because of the oil-fired power stations that generate most of the island's power. Biomass, in the form of domestic fuelwood and as olive cake in olive oil mills, is the principal renewable energy resource used. The best opportunities for increasing renewable energy technologies could be use in power production (wind power, biomass, small hydro), plus a greater uptake of solar heating systems. An economic analysis of the costs of implementing the different scenarios in the Action Plan showed that the cost of implementing the Renewable Intensive Scenario could be 620 million ECU, with a minimum amount of grants required in the order of 130 million ECU. Public funds allocated to renewable energy sources development, along with avoided costs of new conventional plants, could provide this level of grant-funding.
Although energy reference system analysis is a well developed method, energy planning based on the optimisation of the energy network is a rather new and promising research area. In this project multiple programming goal techniques for the simultaneous minimisation of energy cost and maximisation of energy independance through the use of renewable energies are to be examined.
An application for the island of Crete - which possesses a high potential for many renewable energy forms - will be carried out. The efficiency of the energy planning methodology will be tested in an area of the Sardinia island.
A computational environment for parametric simulation will be developed. Multiobjective programming techniques will be used for planning the incorporation of renewable energies into the local energy system.
The application can be used as a pilot for other remote areas with similar characteristics.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
15780 ATHENS
Greece