Energy-Efficient Thermostats for Room-Level Air Conditioning

04/29/2018
by   Milan Jain, et al.
0

Room-level air conditioners (also referred as ACs) consume a significant proportion of total energy in residential and small-scale commercial buildings. In a typical AC, occupants specify their comfort requirements by manually setting the desired temperature on the thermostat. Though commercial thermostats (such as Tado) provide basic energy-saving features, they neither consider the influence of external factors (such as weather) to set the thermostat temperature nor offer advanced features such as monitoring the fitness level of AC. In this paper, we discuss grey-box modeling techniques to enhance existing thermostats for energy-efficient control of the ACs and provide actionable and corrective feedback to the users. Our study indicates that the enhancements can reduce occupants' discomfort by 23 the user experience, and reduce AC energy consumption by 26 power-saving mode.

READ FULL TEXT
research
03/10/2020

Model for Thermal Comfort and Energy Saving Based on Individual Sensation Estimation

In office spaces, the ratio of energy consumption of air conditioning an...
research
06/28/2019

Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning

We tune one of the most common heating, ventilation, and air conditionin...
research
08/22/2019

Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques

Air conditioning (AC) accounts for a critical portion of the global ener...
research
01/22/2019

Beyond Control: Enabling Smart Thermostats For Leakage Detection

Smart thermostats, with multiple sensory abilities, are becoming pervasi...
research
08/27/2022

Statistical Mechanics of Thermostatically Controlled Multi-Zone Buildings

We study the collective phenomena and constraints associated with the ag...
research
08/08/2017

ThermalSim: A Thermal Simulator for Error Analysis

Researchers have extensively explored predictive control strategies for ...
research
12/15/2020

LSTM-based Space Occupancy Prediction towards Efficient Building Energy Management

Energy consumed in buildings takes significant portions of the total glo...

Please sign up or login with your details

Forgot password? Click here to reset