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Title:
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A workbench in support of energy management services
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Author(s):
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Published by:
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Publication date:
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ECN
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1-10-2000
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ECN report number:
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Document type:
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ECN-RX--00-031
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Article (scientific)
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Number of pages:
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21
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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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