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Temperature Sensing Optimization for Home Thermostat Retrofit.

Federico Seri1,2,3, Marco Arnesano4, Marcus Martin Keane1,2,3

  • 1College of Science and Engineering, National University of Ireland, Galway, Ireland.

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|June 2, 2021
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Summary

Optimizing smart thermostat placement in homes improves heating control and energy efficiency. Repositioning a thermostat and setting it to 21°C, without thermostatic radiator valves (TRVs), reduced energy use by 7% and shortened the payback period.

Keywords:
building simulationoptimizationsensing optimizationsmart thermostatthermal comfortthermostat placementthermostat retrofit

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Area of Science:

  • Building Science
  • Energy Efficiency
  • Smart Home Technology

Background:

  • Single-zone thermostats in residential buildings lead to poor thermal comfort and energy waste.
  • Smart thermostats and thermostatic radiator valves (TRVs) offer retrofit solutions but face challenges with temperature sensing uncertainty due to placement.
  • Wireless communication in smart devices increases installation flexibility but can impact heating performance.

Purpose of the Study:

  • To present a sensing optimization approach for home thermostats.
  • To determine the optimal retrofit configuration for reducing sensing uncertainty.
  • To achieve required comfort levels and minimize the retrofit's payback period.

Main Methods:

  • Applied a sensing optimization methodology to a real case study in Italy.
  • Utilized measured data and a simulation model to create various retrofit scenarios.
  • Evaluated thermostat repositioning and setpoint adjustments for optimal performance.

Main Results:

  • The optimal retrofit scenario involved thermostat repositioning and a 21°C setpoint, without TRVs.
  • This optimization improved control performance through better sensor location.
  • Achieved a 7% energy saving compared to the baseline, with a payback period of 0.5 to 2.5 years.

Conclusions:

  • Thermostat repositioning is a key factor in enhancing heating control and energy savings in residential buildings.
  • Smart thermostat optimization can significantly reduce energy consumption and shorten payback periods.
  • The study demonstrates the effectiveness of a sensing optimization approach for retrofitting existing homes.