Advertisement

Computer Science - Research and Development

, Volume 33, Issue 1–2, pp 259–261 | Cite as

Poster abstract: state of operation recognition for heat pumps from smart grid monitoring data

  • Philipp Schuetz
  • Roman Durrer
  • Damian Gwerder
  • Martin Geidl
  • Jörg Worlitschek
Special Issue Paper
  • 182 Downloads

Abstract

Coordinated (de)activation of heat pumps in residential heating systems can support the balance between energy production and consumption in a smart grid. Stopping the heat pump in an inappropriate operation state may result in users’ discomfort or damages to the system. In this contribution, a procedure to split domestic hot water provision (DHW) cycles from space heating cycles in the power consumption time series of heat pumps in residential heating systems is presented. The procedure bases on a support vector machine (SVM) classifier applied on statistical properties of the cycles after principal component transformation. The procedure is tested on real-world power consumption time series with 1 s resolution from three different buildings monitored over 1 year. Due to the absence of ground truth validation data, training data for the SVM algorithm are distilled from the measurement data by outlier removal and subsequent K-means classification. The dependence of energy demand for space heating (heating curve) and DHW provision on the ambient temperature are investigated for validation and agrees with Swiss building standards.

Keywords

Operation state recognition Smart grid monitoring Residential heat pumps Automated task attribution 

References

  1. 1.
    Olsson T (2013) Evaluation of machine learning for predicting hot water production of a heat pump. In: 4th international conference on power engineering, energy and electrical drives, Istanbul, TurkeyGoogle Scholar
  2. 2.
    Summerfield A et al (2016) Detailed analysis of data from heat pumps installed via the renewable heat premium payment scheme. Technical report, FebruaryGoogle Scholar
  3. 3.
    Geidl M et al (2017) A fully operational virtual energy storage network providing flexibility for the power system. In: Proceedings of 12th IEA heat pump conference, Rotterdam, The NetherlandsGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Lucerne University of Applied Sciences and ArtsHorwSwitzerland
  2. 2.Swisscom Energy SolutionsOltenSwitzerland

Personalised recommendations