Scheduling of air conditioner based on real time price and real-time temperature

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

The smart grid initiative and the market operations drive into the new concept of control able loads. This particular Paper presents a smart scheduling device of an air conditioner which demonstrates the general architecture along with practical implementation of the hardware that could be use to schedule the air condition based on real time price and temperature in order to reduce the cost of electricity bill, devoid of compromising the user comfort. The proposed architecture of overall system comprise of three parts, Data collection Part, Scheduling Part and Control part. The system collects outdoor temperature as well as dynamic price in real time. Scheduling part serves as brain of proposed system and is responsible for taking decisions based on input parameters. It determines an optimal choice of energy consumption scheduling which keeps into consideration the user comforts and formulated as nonlinear programming. Results were then applied to the air conditioner in the form of on/off and setting thermostat with help of the control unit which consisted on the infrared transmitter and receiver. At last a test bed was designed and experimental results shown that the electricity expenditure is reduced, along with that the overall suitable temperature is also maintained.

Original languageEnglish
Title of host publicationProceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5134-5138
Number of pages5
ISBN (Electronic)9781479970179
DOIs
StatePublished - 17 Jul 2015
Event27th Chinese Control and Decision Conference, CCDC 2015 - Qingdao, China
Duration: 23 May 201525 May 2015

Publication series

NameProceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

Conference

Conference27th Chinese Control and Decision Conference, CCDC 2015
Country/TerritoryChina
CityQingdao
Period23/05/1525/05/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • advance meter infrastructure
  • demand response
  • price prediction
  • real time price
  • user comfort

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