Domestic Refrigerators Temperature Prediction Strategy for the Evaluation of the Expected Power Consumption

Venkatachalam Lakshmanan; Mattia Marinelli; Anna Magdalena Kosek; Fabrizio Sossan; Per  Bromand Nørgård

Domestic Refrigerators Temperature Prediction Strategy for the Evaluation of the Expected Power Consumption

Venkatachalam Lakshmanan, Mattia Marinelli, Anna Magdalena Kosek, Fabrizio Sossan, Per Bromand Nørgård

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

This paper discusses and presents a simple temperature prediction strategy for the domestic refrigerator. The main idea is to predict the duration it takes to the Cold chamber temperature to reach the thresholds according to the state of the compressor and to the last temperature measurements. The experiments are conducted at SYSLAB facility at DTU Risø Campus having a set of refrigerators working at different set point temperatures, with different ambient temperatures and under different thermal load conditions. The prediction strategy is tested using a set of different refrigerators in order to validate the performances.
The challenges to calculate the time with less error pronouncement in temperature, regulating power supply and its duration are also discussed.

Original language	English
Title of host publication	Proceedings of the 2013 4th IEEE PES Innovative Smart Grid Technologies Europe
Number of pages	5
Publisher	IEEE
Publication date	2013
Publication status	Published - 2013
Event	2013 4th IEEE PES Innovative Smart Grid Technologies Europe - Technical University of Denmark (DTU), Lyngby, Denmark Duration: 6 Oct 2013 → 9 Oct 2013 Conference number: 4 http://www.ieee-isgt-2013.eu/

Conference

Conference	2013 4th IEEE PES Innovative Smart Grid Technologies Europe
Number	4
Location	Technical University of Denmark (DTU)
Country/Territory	Denmark
City	Lyngby
Period	06/10/2013 → 09/10/2013
Internet address	http://www.ieee-isgt-2013.eu/

Keywords

Regulating power
Energy Storage
Grid Integration
Demand response

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ISGTEurope2013-000473

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@inproceedings{ff20f13d5da54ebbb22e3d68ffa1cd48,

title = "Domestic Refrigerators Temperature Prediction Strategy for the Evaluation of the Expected Power Consumption",

abstract = "This paper discusses and presents a simple temperature prediction strategy for the domestic refrigerator. The main idea is to predict the duration it takes to the Cold chamber temperature to reach the thresholds according to the state of the compressor and to the last temperature measurements. The experiments are conducted at SYSLAB facility at DTU Ris{\o} Campus having a set of refrigerators working at different set point temperatures, with different ambient temperatures and under different thermal load conditions. The prediction strategy is tested using a set of different refrigerators in order to validate the performances.The challenges to calculate the time with less error pronouncement in temperature, regulating power supply and its duration are also discussed.",

keywords = "Regulating power, Energy Storage, Grid Integration, Demand response",

author = "Venkatachalam Lakshmanan and Mattia Marinelli and Kosek, {Anna Magdalena} and Fabrizio Sossan and N{\o}rg{\aa}rd, {Per Bromand}",

year = "2013",

language = "English",

booktitle = "Proceedings of the 2013 4th IEEE PES Innovative Smart Grid Technologies Europe",

publisher = "IEEE",

address = "United States",

note = "2013 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013 ISGT Europe ; Conference date: 06-10-2013 Through 09-10-2013",

url = "http://www.ieee-isgt-2013.eu/",

}

Domestic Refrigerators Temperature Prediction Strategy for the Evaluation of the Expected Power Consumption. / Lakshmanan, Venkatachalam; Marinelli, Mattia; Kosek, Anna Magdalena et al.
Proceedings of the 2013 4th IEEE PES Innovative Smart Grid Technologies Europe. IEEE, 2013.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Domestic Refrigerators Temperature Prediction Strategy for the Evaluation of the Expected Power Consumption

AU - Lakshmanan, Venkatachalam

AU - Marinelli, Mattia

AU - Kosek, Anna Magdalena

AU - Sossan, Fabrizio

AU - Nørgård, Per Bromand

N1 - Conference code: 4

PY - 2013

Y1 - 2013

N2 - This paper discusses and presents a simple temperature prediction strategy for the domestic refrigerator. The main idea is to predict the duration it takes to the Cold chamber temperature to reach the thresholds according to the state of the compressor and to the last temperature measurements. The experiments are conducted at SYSLAB facility at DTU Risø Campus having a set of refrigerators working at different set point temperatures, with different ambient temperatures and under different thermal load conditions. The prediction strategy is tested using a set of different refrigerators in order to validate the performances.The challenges to calculate the time with less error pronouncement in temperature, regulating power supply and its duration are also discussed.

AB - This paper discusses and presents a simple temperature prediction strategy for the domestic refrigerator. The main idea is to predict the duration it takes to the Cold chamber temperature to reach the thresholds according to the state of the compressor and to the last temperature measurements. The experiments are conducted at SYSLAB facility at DTU Risø Campus having a set of refrigerators working at different set point temperatures, with different ambient temperatures and under different thermal load conditions. The prediction strategy is tested using a set of different refrigerators in order to validate the performances.The challenges to calculate the time with less error pronouncement in temperature, regulating power supply and its duration are also discussed.

KW - Regulating power

KW - Energy Storage

KW - Grid Integration

KW - Demand response

M3 - Article in proceedings

BT - Proceedings of the 2013 4th IEEE PES Innovative Smart Grid Technologies Europe

PB - IEEE

T2 - 2013 4th IEEE PES Innovative Smart Grid Technologies Europe

Y2 - 6 October 2013 through 9 October 2013

ER -

Domestic Refrigerators Temperature Prediction Strategy for the Evaluation of the Expected Power Consumption

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