Comparison of strategies for model predictive control for home heating in future energy systems

Pierre Jacques Camille Vogler-Finck; Per D. Pedersen; Petar Popovski; Rafal Wisniewski

doi:10.1109/PTC.2017.7979747

Comparison of strategies for model predictive control for home heating in future energy systems

Pierre Jacques Camille Vogler-Finck, Per D. Pedersen (Medlem af forfattergruppering), Petar Popovski, Rafal Wisniewski

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

4 Citationer (Scopus)

Abstract

Model predictive control is seen as one of the key future enabler in increasing energy efficiency in buildings. This paper presents a comparison of the performance of the control for different formulations of the objective function. This comparison is made in a simulation study on a single building using historical weather and power system data from Denmark. Trade-offs between energy consumption, comfort and incurred CO2 emissions depending on the chosen objective function are quantified, highlighting the need to carefully select the strategy used in future design and implementation, rather than simply operating energy or SPOT price optimisation.

Originalsprog	Engelsk
Titel	2017 IEEE Manchester PowerTech
Antal sider	6
Udgivelsessted	Manchester, GB
Forlag	IEEE
Publikationsdato	jun. 2017
ISBN (Elektronisk)	978-1-5090-4237-1
DOI	https://doi.org/10.1109/PTC.2017.7979747
Status	Udgivet - jun. 2017
Begivenhed	12th IEEE PES PowerTech Conference: Towards and Beyond Systainable Energy Systems - Manchester, Storbritannien Varighed: 18 jun. 2017 → 22 jun. 2017 http://ieee-powertech.org/

Konference

Konference	12th IEEE PES PowerTech Conference
Land/Område	Storbritannien
By	Manchester
Periode	18/06/2017 → 22/06/2017
Internetadresse	http://ieee-powertech.org/

Navn	IEEE PowerTech proceedings

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10.1109/PTC.2017.7979747

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title = "Comparison of strategies for model predictive control for home heating in future energy systems",

abstract = "Model predictive control is seen as one of the key future enabler in increasing energy efficiency in buildings. This paper presents a comparison of the performance of the control for different formulations of the objective function. This comparison is made in a simulation study on a single building using historical weather and power system data from Denmark. Trade-offs between energy consumption, comfort and incurred CO2 emissions depending on the chosen objective function are quantified, highlighting the need to carefully select the strategy used in future design and implementation, rather than simply operating energy or SPOT price optimisation.",

author = "Vogler-Finck, {Pierre Jacques Camille} and Pedersen, {Per D.} and Petar Popovski and Rafal Wisniewski",

year = "2017",

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doi = "10.1109/PTC.2017.7979747",

language = "English",

series = "IEEE PowerTech proceedings",

booktitle = "2017 IEEE Manchester PowerTech",

publisher = "IEEE",

address = "United States",

note = "12th IEEE PES PowerTech Conference : Towards and Beyond Systainable Energy Systems ; Conference date: 18-06-2017 Through 22-06-2017",

url = "http://ieee-powertech.org/",

}

Comparison of strategies for model predictive control for home heating in future energy systems. / Vogler-Finck, Pierre Jacques Camille; Pedersen, Per D. (Medlem af forfattergruppering); Popovski, Petar et al.
2017 IEEE Manchester PowerTech. Manchester, GB: IEEE, 2017. (IEEE PowerTech proceedings).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Comparison of strategies for model predictive control for home heating in future energy systems

AU - Vogler-Finck, Pierre Jacques Camille

AU - Popovski, Petar

AU - Wisniewski, Rafal

A2 - Pedersen, Per D.

PY - 2017/6

Y1 - 2017/6

N2 - Model predictive control is seen as one of the key future enabler in increasing energy efficiency in buildings. This paper presents a comparison of the performance of the control for different formulations of the objective function. This comparison is made in a simulation study on a single building using historical weather and power system data from Denmark. Trade-offs between energy consumption, comfort and incurred CO2 emissions depending on the chosen objective function are quantified, highlighting the need to carefully select the strategy used in future design and implementation, rather than simply operating energy or SPOT price optimisation.

AB - Model predictive control is seen as one of the key future enabler in increasing energy efficiency in buildings. This paper presents a comparison of the performance of the control for different formulations of the objective function. This comparison is made in a simulation study on a single building using historical weather and power system data from Denmark. Trade-offs between energy consumption, comfort and incurred CO2 emissions depending on the chosen objective function are quantified, highlighting the need to carefully select the strategy used in future design and implementation, rather than simply operating energy or SPOT price optimisation.

U2 - 10.1109/PTC.2017.7979747

DO - 10.1109/PTC.2017.7979747

M3 - Article in proceeding

T3 - IEEE PowerTech proceedings

BT - 2017 IEEE Manchester PowerTech

PB - IEEE

CY - Manchester, GB

T2 - 12th IEEE PES PowerTech Conference

Y2 - 18 June 2017 through 22 June 2017

ER -

Comparison of strategies for model predictive control for home heating in future energy systems

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