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Energies 2017, 10(9), 1358; doi:10.3390/en10091358

A Data Analysis Technique to Estimate the Thermal Characteristics of a House

1
Behavioural Informatics Group, Deptartment of Computer Science, VU University Amsterdam, 1081 HV Amsterdam, The Netherlands
2
Quby, Joan Muyskenweg 22, 1096 CJ Amsterdam, The Netherlands
This paper is an extended version of our paper published in van der Ham,W.; Klein, M.; Tabatabaei, S.A.; Thilakarathne, D.J.; Treur, J. Methods for a Smart Thermostat to Estimate the Characteristics of a House Based on Sensor Data. Energy Procedia 2016, 95, 467–474.
*
Author to whom correspondence should be addressed.
Received: 5 July 2017 / Revised: 29 August 2017 / Accepted: 30 August 2017 / Published: 8 September 2017
(This article belongs to the Collection Smart Grid)
View Full-Text   |   Download PDF [1001 KB, uploaded 8 September 2017]   |  

Abstract

Almost one third of the energy is used in the residential sector, and space heating is the largest part of energy consumption in our houses. Knowledge about the thermal characteristics of a house can increase the awareness of homeowners about the options to save energy, for example by showing that there is room for improvement of the insulation level. However, calculating the exact value of these characteristics is not possible without precise thermal experiments. In this paper, we propose a method to automatically estimate two of the most important thermal characteristics of a house, i.e., the loss rate and the heat capacity, based on collected data about the temperature and gas usage. The method is evaluated with a data set that has been collected in a real-life case study. Although a ground truth is lacking, the analyses show that there is evidence that this method could provide a feasible way to estimate those values from the thermostat data. More detailed data about the houses in which the data was collected is required to draw stronger conclusions. We conclude that the proposed method is a promising way to add energy saving advice to smart thermostats. View Full-Text
Keywords: smart homes; smart thermostat; space heating; energy usage; energy saving; energy efficiency awareness; degree day smart homes; smart thermostat; space heating; energy usage; energy saving; energy efficiency awareness; degree day
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Tabatabaei, S.A.; van der Ham, W.; C. A. Klein, M.; Treur, J. A Data Analysis Technique to Estimate the Thermal Characteristics of a House. Energies 2017, 10, 1358.

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