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ECN publication
Title:
A workbench in support of energy management services
 
Author(s):
Warmer, C.J.; Jehee, J.N.T.; Kamphuis, I.G.
 
Published by: Publication date:
ECN 1-10-2000
 
ECN report number: Document type:
ECN-RX--00-031 Article (scientific)
 
Number of pages:
21  

Published in: Contribution to DistribuTech 2000, 10 - 12 October 2000, Vienna (), , , Vol., p.-.

Abstract:
Presently, commercial buildings are equipped with energy monitoringsystems. These enable extensive data-acquisition on the operational and energy-efficiency characteristics of the building. Analysis of these data can be instrumental for a facility manager to quantify the energy consumption in order to plan, substantiate and evaluate investments in support of energy conservation. However, an essential acceptance criterion for energy conservation is the assurance that comfortable and healthy in-door conditions are being reassured. Acquired insights in patterns of energy consumption prove to be increasingly beneficial in response to real time pricing or establishing service models in a liberalised energy market. Increasing possibilities of communication networks will introduce EMS in residential areas as well. EMS data provide an excellent source for the utilities to analyse the energy usage patterns and the customer behaviour. This information can be used to develop new customer services, which will become essential in the liberalising energy market. We have designed and implemented a computerised workbench with tools for analysis of energy monitoring data, which can serve as an information guide to both customers and energy suppliers to visualise and analyse the energy usage patterns from different viewpoints. This toolkit can be used to derive new strategies for energy-efficiency measures and can be introduced in improving energy management. This paper will discuss the key indicators for what we called a 'Load Curve Analysis Workbench' and we will give examples of the profits it can lead to. One of these examples is an integrated prototype comfort management subsystem which optimises thermal comfort at minimised cost taking into account individual preferences. An overall energy saving potential of 10 - 20 % appears to be possible with improved comfort and cost savings. 12 refs.


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