Objective
THE OBJECTIVE OF THE ANALYSIS IS TO DEVELOP ENERGY EFFICIENCY INDICATORS THAT
-EXPLAIN SHORT-TERM FLUCTUATIONS OF ENERGY CONSUMPTION (E.G. CLIMATE, SHORT-TERM ECONOMIC FLUCTUATIONS),
-ALLOW TO IDENTIFY IMPORTANT INFLUENCES ON YEARLY ENERGY CONSUMPTION SUCH AS LEVEL OF ECONOMIC ACTIVITY, STRUCTURAL CHANGES IN BUILDINGS, COMMERCE, INDUSTRY, TRANSPORTATION AND THE TRANSFORMATION SECTOR, AND TECHNICAL/ORGANIZATIONAL IMPROVEMENTS OF ENERGY EFFICIENCY,
-ALLOW TO TRACE THE LONG-TERM PROGRESS OF ENERGY EFFICIENCY IN THE VARIOUS SECTORS AND THE ACHIEVEMENT OF FUTURE GOALS SET BY THE EUROPEAN COMMISSION.
THE ENERGY INDICATORS WILL BE APPLIED TO EACH MEMBER COUNTRY AND THE EC.
A choice of energy consumption indicators for the industrial sector is proposed. Any analysis of input requirements in production sectors should be based on studies of the internal structure of functional relationships between inputs and outputs. The traditional energy consumption indicators for the industrial sector are based on the ratio between energy inputs and net production or real value added. However, the aggregation conditions of a group of inputs are particularly strong because they imply separability with respect to the other inputs.
PHASE 1
1.PARTICIPATION IN THE MEETINGS ORGANIZED BY THE COMMISSION WITH THE NATIONAL TEAMS ASSOCIATED TO THE PROJECT.
2.DELIVERY OF THE DATA FOR THE INDICATORS ESTIMATION.
3.EVALUATION OF "CLASSICAL" INDICATORS PRESENTED BY THE COMMISSION AND COMPARISION OF THEM WITH THE GENERAL CONCLUSION MADE BY THE NATIONAL AUTHORITIES.
4.DELIVERY OF INFORMATIONS ON THE INDICATORS USED IN ITALY.
PHASE 2
5.PRESENTATION OF THE NATIONAL RESEARCH DEALING WITH THE INDICATORS AND ANALYSIS OF THE RESULTS.
6.PARTICIPATION TO THE RESTATEMENT OF INDICATORS FOR THE EEC COUNTRIES.
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.
Programme(s)
Topic(s)
Data not availableCall for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
00197 ROMA
Italy