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Portable+: A Ubiquitous And Smart Way Towards Comfortable Energy Savings

Published: 30 June 2017 Publication History

Abstract

An air conditioner (AC) consumes a significant proportion of the total household power consumption. Primarily used in developing countries, decentralised AC has an inbuilt thermostat to cool the room to a temperature, manually set by the users. However, residents are incapable of specifying their goal through these thermostats - maximise their comfort or save AC energy. State-of-the-art portable thermostats emulate AC remotes and assist occupants in remotely changing the thermostat temperature, through their smartphones. We propose extending such thermostats to portable+ by adding a Comfort-Energy Trade-off (CET) knob, realised through an optimisation framework to allow users to balance their comfort and the savings without worrying about the right set temperature. Analysis based on real data, collected from a controlled experiment (across two rooms for two weeks) and an in-situ deployment (across five rooms for three months), indicates that portable+ thermostats can reduce residents’ discomfort by 23% (CET selection for maximal comfort) and save 26% energy when CET is set for maximising savings.

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Supplemental movie, appendix, image and software files for, Portable+: A Ubiquitous And Smart Way Towards Comfortable Energy Savings

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Published In

cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 1, Issue 2
June 2017
665 pages
EISSN:2474-9567
DOI:10.1145/3120957
Issue’s Table of Contents
© 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 June 2017
Accepted: 01 February 2017
Received: 01 November 2016
Published in IMWUT Volume 1, Issue 2

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Author Tags

  1. Energy efficient buildings
  2. HVAC
  3. Modeling
  4. Optimisation
  5. Simulation
  6. Thermal modeling
  7. Thermostat
  8. User comfort

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  • Research-article
  • Research
  • Refereed

Funding Sources

  • ITRA project funded by Ministry of Electronics and Information Technology (MeitY), Government of India

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  • (2023)OCSRL: An Model-Based Reinforcement Learning Approach to Optimize Energy Consumption of Cooling Systems2023 IEEE 19th International Conference on e-Science (e-Science)10.1109/e-Science58273.2023.10254663(1-10)Online publication date: 9-Oct-2023
  • (2023)Active Acoustic Sensing for “Hearing” Temperature Under Acoustic InterferenceIEEE Transactions on Mobile Computing10.1109/TMC.2021.309679222:2(661-673)Online publication date: 1-Feb-2023
  • (2022)Workload characterization of a time-series prediction system for spatio-temporal dataProceedings of the 19th ACM International Conference on Computing Frontiers10.1145/3528416.3530242(159-168)Online publication date: 17-May-2022
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  • (2018)Got Change?IEEE Pervasive Computing10.1109/MPRV.2018.01159105517:1(4-8)Online publication date: 1-Jan-2018
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