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Development of a Real-time Smart Meter for Non-Intrusive Load Monitoring and Appliance Disaggregation

Authors
Jonetzko, Roman (Trier University of Applied Sciences, Environmental Campus Birkenfeld, Institute for Software Systems, Birkenfeld)
Search for Roman Jonetzko in Research Programmes Information System
Detzler, Matthias (Trier University of Applied Sciences, Environmental Campus Birkenfeld, Institute for Software Systems, Birkenfeld)
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Gollmer, Klaus-Uwe (Trier University of Applied Sciences, Environmental Campus Birkenfeld, Institute for Software Systems, Birkenfeld)
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Guldner, Achim (Trier University of Applied Sciences, Environmental Campus Birkenfeld, Institute for Software Systems, Birkenfeld)
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Huber, Marcel (Trier University of Applied Sciences, Environmental Campus Birkenfeld, Institute for Software Systems, Birkenfeld)
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Michels, Rainer (Trier University of Applied Sciences, Environmental Campus Birkenfeld, Institute for Software Systems, Birkenfeld)
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Naumann, Stefan (Trier University of Applied Sciences, Environmental Campus Birkenfeld, Institute for Software Systems, Birkenfeld)
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Ney, Martin (Trier University of Applied Sciences, Environmental Campus Birkenfeld, Institute for Software Systems, Birkenfeld)
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Chapter ConverStation II
Volume EnviroInfo & ICT4S, Adjunct Proceedings (Part 2)
Conference Building the knowledge base for environmental action and sustainability
Copenhagen, 2015
Year 2015
Abstract of the Article
Current studies about electrical energy efficiency
potentials bring out that to make the most part of the saving
potentials achievable, a feedback about the instantaneous consumed
electrical energy is necessary. More detailed, an allocation
of the electrical load to the particular device can enable a greater
level of sensitivity in energy consumption of electrical appliances.
Therefore, we pursued the aim of developing a low cost smart
meter hardware, which fits the requirements for the detection of
several devices and states via disaggregation algorithms. This
is implemented by applying Fast Fourier Transformation to
the measured data and sending the Fourier coefficients to the
appliance disaggregation modul. In this paper, we describe the
developed hardware in detail and show a visualization approach
of the disaggregation results for providing the user with detailed
information about device states.
Pages 47 - 52
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