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A framework for thermal parameter identification in a smart buildings context

Authors: Sigmundo Preissler;

A framework for thermal parameter identification in a smart buildings context

Abstract

Due to the daily and gradual increase in power consumption, studies related to the environment heating optimization play a meaningful role. The electrical-thermal analogy can be used as a reference so that researchers are able to simulate heating and cooling behaviors in real situations. For this purpose, several simulation tools are used. This work-in-progress paper presents a framework to identify capacitance and resistance parameters from a monitored room in a Smart Building context using RC Circuits. The proposed framework uses NGSpice as the simulation tool.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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