Next Article in Journal
Exploring the Potential of Energy Consumers in Smart Grid Using Focus Group Methodology
Next Article in Special Issue
Energy Storage System Control Algorithm by Operating Target Power to Improve Energy Sustainability of Smart Home
Previous Article in Journal
Grain Yield, Dry Weight and Phosphorus Accumulation and Translocation in Two Rice (Oryza sativa L.) Varieties as Affected by Salt-Alkali and Phosphorus
Previous Article in Special Issue
Healthcare in the Smart Home: A Study of Past, Present and Future
Open AccessArticle

Smart Thermostats: An Experimental Facility to Test Their Capabilities and Savings Potential

School of Industrial Engineering, University of Cantabria, Av. Los Castros s/n, 39005 Cantabria, Spain
*
Author to whom correspondence should be addressed.
Sustainability 2017, 9(8), 1462; https://doi.org/10.3390/su9081462
Received: 15 July 2017 / Revised: 9 August 2017 / Accepted: 15 August 2017 / Published: 17 August 2017
(This article belongs to the Special Issue The Advent of Smart Homes)
The European Commission has explained how heating and cooling in buildings and industry account for half of the energy consumption of the EU. Several studies explain how to achieve an energy saving at home, and the use of smart thermostats will help to reduce energy consumption while increasing the efficiency of households. In this article, a comparative evaluation was carried out between four smart thermostats that are now on the market, whose characteristics vary in terms of price, precision of measurements and set temperature, algorithms, etc. A thermal test chamber was designed and constructed from a refrigerator, a thermal blanket, a Raspberry Pi and the necessary electronic components for its control and data collection. From the tests carried out in the thermal chamber, data on the operation of the four thermostats such as the maintenance and the anticipation of the setpoint temperature, were obtained. It was necessary to run the system enough times for each thermostat to memorize the housing characteristics, such as its inertia and its thermal insulation. This would also allow for the generation of a better algorithm to regulate the temperature, which would create a lower oscillation with respect to the setpoint temperature. The learning of the thermostats was not demonstrated and for the anticipation mode it was seen that the thermostats failed to improve or learn in this aspect, as they did not improve the start-up times of the heating system, with the consequent increase in energy consumption. View Full-Text
Keywords: smart thermostat; energy saving; home comfort smart thermostat; energy saving; home comfort
Show Figures

Figure 1

MDPI and ACS Style

Bustamante, S.; Castro, P.; Laso, A.; Manana, M.; Arroyo, A. Smart Thermostats: An Experimental Facility to Test Their Capabilities and Savings Potential. Sustainability 2017, 9, 1462.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop