Title: CMIEM: the computerised model for intelligent energy management

Authors: Konstantinos D. Patlitzianas, Alexandra Papadopoulou, Alexandros Flamos, John Psarras

Addresses: Decision Support Systems Lab (EPU-NTUA), School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou str., Athens 15773, Greece. ' Decision Support Systems Lab (EPU-NTUA), School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou str., Athens 15773, Greece. ' Decision Support Systems Lab (EPU-NTUA), School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou str., Athens 15773, Greece. ' Decision Support Systems Lab (EPU-NTUA), School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou str., Athens 15773, Greece

Abstract: Nowadays, the observed high energy consumption in most of the enterprises and the increased environmental preservation required are a proof that the energy management is essential to be applied in the sectors of final demand. Energy management as a mean for reducing the energy consumption and therefore energy costs, as well as the technical tools that are being used for this effort, is the central topic of this paper. In this framework, the Computerised Model for Intelligent Energy Management (CMIEM) can constitute a powerful technical tool in the hands of the final energy users, because it is a diagnostic mean of required energy consuming equipment, in order to improve the energy efficiency. The CMIEM has the potential of estimating the energy indicators and designing the energy consumption net. The CMIEM has been applied in both industrial units and buildings and the outcomes were really important for energy managers, as they strive towards the rational use of energy.

Keywords: intelligent energy management; energy audit; energy decision support systems; DSS; energy efficiency; energy indicators; energy consumption; mathematical modelling; energy cost reduction.

DOI: 10.1504/IJCAT.2005.006943

International Journal of Computer Applications in Technology, 2005 Vol.22 No.2/3, pp.120 - 129

Published online: 26 Apr 2005 *

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