Residential HVAC load control strategy in real-time electricity pricing environment

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

In this paper, a two-stage cost and energy efficient HVAC load control strategy under a dynamic price setting is developed and proposed for residential buildings. In the first stage, the proposed model generates efficient mappings between electricity price ranges and temperature set points for all hours of the day within a predetermined thermal comfort interval. The second stage further improves the cost and energy efficiency by employing pre-cooling and pre-floating procedures between two consecutive time intervals with price changes based on a thermal transition formula. The proposed model incorporates consumer utility for thermal comfort using a tolerance index that basically measures the consumer's preference trade-off between cost savings and thermal comfort. The proposed model is illustrated using a numerical analysis based on real-life data. The results indicate that the proposed strategy can provide a better overall comfort while reducing the electricity cost to consumers and energy usage at peaks.

Original languageEnglish
Title of host publication2012 IEEE Energytech, Energytech 2012
DOIs
StatePublished - Nov 12 2012
Event2012 IEEE Energytech, Energytech 2012 - Cleveland, OH, United States
Duration: May 29 2012May 31 2012

Other

Other2012 IEEE Energytech, Energytech 2012
CountryUnited States
CityCleveland, OH
Period5/29/125/31/12

Fingerprint

Thermal comfort
Electricity
Costs
Energy efficiency
Numerical analysis
Cooling
HVAC
Temperature

Keywords

  • energy management
  • home automation
  • load management
  • power demand
  • smart grids
  • temperature control

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

Cite this

Residential HVAC load control strategy in real-time electricity pricing environment. / Avci, Mesut; Erkoc, Murat; Asfour, Shihab S.

2012 IEEE Energytech, Energytech 2012. 2012. 6304636.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Avci, M, Erkoc, M & Asfour, SS 2012, Residential HVAC load control strategy in real-time electricity pricing environment. in 2012 IEEE Energytech, Energytech 2012., 6304636, 2012 IEEE Energytech, Energytech 2012, Cleveland, OH, United States, 5/29/12. https://doi.org/10.1109/EnergyTech.2012.6304636
@inproceedings{24bae6c469c24fc9986f51752472624f,
title = "Residential HVAC load control strategy in real-time electricity pricing environment",
abstract = "In this paper, a two-stage cost and energy efficient HVAC load control strategy under a dynamic price setting is developed and proposed for residential buildings. In the first stage, the proposed model generates efficient mappings between electricity price ranges and temperature set points for all hours of the day within a predetermined thermal comfort interval. The second stage further improves the cost and energy efficiency by employing pre-cooling and pre-floating procedures between two consecutive time intervals with price changes based on a thermal transition formula. The proposed model incorporates consumer utility for thermal comfort using a tolerance index that basically measures the consumer's preference trade-off between cost savings and thermal comfort. The proposed model is illustrated using a numerical analysis based on real-life data. The results indicate that the proposed strategy can provide a better overall comfort while reducing the electricity cost to consumers and energy usage at peaks.",
keywords = "energy management, home automation, load management, power demand, smart grids, temperature control",
author = "Mesut Avci and Murat Erkoc and Asfour, {Shihab S}",
year = "2012",
month = "11",
day = "12",
doi = "10.1109/EnergyTech.2012.6304636",
language = "English",
isbn = "9781467318365",
booktitle = "2012 IEEE Energytech, Energytech 2012",

}

TY - GEN

T1 - Residential HVAC load control strategy in real-time electricity pricing environment

AU - Avci, Mesut

AU - Erkoc, Murat

AU - Asfour, Shihab S

PY - 2012/11/12

Y1 - 2012/11/12

N2 - In this paper, a two-stage cost and energy efficient HVAC load control strategy under a dynamic price setting is developed and proposed for residential buildings. In the first stage, the proposed model generates efficient mappings between electricity price ranges and temperature set points for all hours of the day within a predetermined thermal comfort interval. The second stage further improves the cost and energy efficiency by employing pre-cooling and pre-floating procedures between two consecutive time intervals with price changes based on a thermal transition formula. The proposed model incorporates consumer utility for thermal comfort using a tolerance index that basically measures the consumer's preference trade-off between cost savings and thermal comfort. The proposed model is illustrated using a numerical analysis based on real-life data. The results indicate that the proposed strategy can provide a better overall comfort while reducing the electricity cost to consumers and energy usage at peaks.

AB - In this paper, a two-stage cost and energy efficient HVAC load control strategy under a dynamic price setting is developed and proposed for residential buildings. In the first stage, the proposed model generates efficient mappings between electricity price ranges and temperature set points for all hours of the day within a predetermined thermal comfort interval. The second stage further improves the cost and energy efficiency by employing pre-cooling and pre-floating procedures between two consecutive time intervals with price changes based on a thermal transition formula. The proposed model incorporates consumer utility for thermal comfort using a tolerance index that basically measures the consumer's preference trade-off between cost savings and thermal comfort. The proposed model is illustrated using a numerical analysis based on real-life data. The results indicate that the proposed strategy can provide a better overall comfort while reducing the electricity cost to consumers and energy usage at peaks.

KW - energy management

KW - home automation

KW - load management

KW - power demand

KW - smart grids

KW - temperature control

UR - http://www.scopus.com/inward/record.url?scp=84868534031&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84868534031&partnerID=8YFLogxK

U2 - 10.1109/EnergyTech.2012.6304636

DO - 10.1109/EnergyTech.2012.6304636

M3 - Conference contribution

SN - 9781467318365

BT - 2012 IEEE Energytech, Energytech 2012

ER -