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

Publikation: Forskning - peer reviewKonferenceartikel i proceeding

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.
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Detaljer

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.
OriginalsprogEngelsk
Titel2017 IEEE Manchester PowerTech
Antal sider6
Udgivelses stedManchester, GB
ForlagIEEE
Publikationsdatojun. 2017
ISBN (Elektronisk)978-1-5090-4237-1
DOI
StatusUdgivet - jun. 2017
PublikationsartForskning
Peer reviewJa
Begivenhed12th IEEE PES PowerTech Conference - Manchester, Storbritannien
Varighed: 18 jun. 201722 jun. 2017
http://ieee-powertech.org/

Konference

Konference12th IEEE PES PowerTech Conference
LandStorbritannien
ByManchester
Periode18/06/201722/06/2017
Internetadresse
SerieIEEE PowerTech proceedings

Kort

ID: 261085150