A hierarchical Model-based Predictive Control strategy for building heating systems

Edward O'Dwyer; Marcin Cychowski; Konstantinos Kouramas; Gordon Lightbody

doi:10.1049/cp.2014.0702

A hierarchical Model-based Predictive Control strategy for building heating systems

Edward O'Dwyer
, Marcin Cychowski
, Konstantinos Kouramas
, Gordon Lightbody

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

Abstract

A hierarchical Model Predictive Control (MPC) strategy for optimally controlling the heating system of a building is developed to satisfy comfort constraints with reduced energy consumption. MPC based strategies can prevent unnecessary energy use by predicting the future heating requirement of the building and only supplying heat when necessary. In this paper, prediction error estimation methods are used to derive reduced order building models from historical data. A hierarchical structure is implemented, with interior-point algorithms employed to solve the resulting optimization problems. A simulation platform, designed to replicate the thermal dynamics and the heating system mechanisms of a real building is used to test the strategy. The MPC formulation is compared to the standard weather compensation scheme used in the building on which the simulation platform is based.

Original language	English
Title of host publication	IET Conference Publications
Publisher	Institution of Engineering and Technology
Pages	298-303
Number of pages	6
Edition	CP639
ISBN (Print)	9781849199247
DOIs	https://doi.org/10.1049/cp.2014.0702
Publication status	Published - 2014
Event	25th IET Irish Signals and Systems Conference, ISSC 2014 and China-Ireland International Conference on Information and Communications Technologies, CIICT 2014 - Limerick, Ireland Duration: 26 Jun 2014 → 27 Jun 2014

Publication series

Name	IET Conference Publications
Number	CP639
Volume	2014

Conference

Conference	25th IET Irish Signals and Systems Conference, ISSC 2014 and China-Ireland International Conference on Information and Communications Technologies, CIICT 2014
Country/Territory	Ireland
City	Limerick
Period	26/06/14 → 27/06/14

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Building energy efficiency
Building modelling
Model Predictive Control
Parameter identification

Access to Document

10.1049/cp.2014.0702

Cite this

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title = "A hierarchical Model-based Predictive Control strategy for building heating systems",

abstract = "A hierarchical Model Predictive Control (MPC) strategy for optimally controlling the heating system of a building is developed to satisfy comfort constraints with reduced energy consumption. MPC based strategies can prevent unnecessary energy use by predicting the future heating requirement of the building and only supplying heat when necessary. In this paper, prediction error estimation methods are used to derive reduced order building models from historical data. A hierarchical structure is implemented, with interior-point algorithms employed to solve the resulting optimization problems. A simulation platform, designed to replicate the thermal dynamics and the heating system mechanisms of a real building is used to test the strategy. The MPC formulation is compared to the standard weather compensation scheme used in the building on which the simulation platform is based.",

keywords = "Building energy efficiency, Building modelling, Model Predictive Control, Parameter identification",

author = "Edward O'Dwyer and Marcin Cychowski and Konstantinos Kouramas and Gordon Lightbody",

year = "2014",

doi = "10.1049/cp.2014.0702",

language = "English",

isbn = "9781849199247",

series = "IET Conference Publications",

publisher = "Institution of Engineering and Technology",

number = "CP639",

pages = "298--303",

booktitle = "IET Conference Publications",

address = "United Kingdom",

edition = "CP639",

note = "25th IET Irish Signals and Systems Conference, ISSC 2014 and China-Ireland International Conference on Information and Communications Technologies, CIICT 2014 ; Conference date: 26-06-2014 Through 27-06-2014",

}

O'Dwyer, E, Cychowski, M, Kouramas, K & Lightbody, G 2014, A hierarchical Model-based Predictive Control strategy for building heating systems. in IET Conference Publications. CP639 edn, IET Conference Publications, no. CP639, vol. 2014, Institution of Engineering and Technology, pp. 298-303, 25th IET Irish Signals and Systems Conference, ISSC 2014 and China-Ireland International Conference on Information and Communications Technologies, CIICT 2014, Limerick, Ireland, 26/06/14. https://doi.org/10.1049/cp.2014.0702

A hierarchical Model-based Predictive Control strategy for building heating systems. / O'Dwyer, Edward; Cychowski, Marcin; Kouramas, Konstantinos et al.
IET Conference Publications. CP639. ed. Institution of Engineering and Technology, 2014. p. 298-303 (IET Conference Publications; Vol. 2014, No. CP639).

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

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AU - Kouramas, Konstantinos

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N2 - A hierarchical Model Predictive Control (MPC) strategy for optimally controlling the heating system of a building is developed to satisfy comfort constraints with reduced energy consumption. MPC based strategies can prevent unnecessary energy use by predicting the future heating requirement of the building and only supplying heat when necessary. In this paper, prediction error estimation methods are used to derive reduced order building models from historical data. A hierarchical structure is implemented, with interior-point algorithms employed to solve the resulting optimization problems. A simulation platform, designed to replicate the thermal dynamics and the heating system mechanisms of a real building is used to test the strategy. The MPC formulation is compared to the standard weather compensation scheme used in the building on which the simulation platform is based.

AB - A hierarchical Model Predictive Control (MPC) strategy for optimally controlling the heating system of a building is developed to satisfy comfort constraints with reduced energy consumption. MPC based strategies can prevent unnecessary energy use by predicting the future heating requirement of the building and only supplying heat when necessary. In this paper, prediction error estimation methods are used to derive reduced order building models from historical data. A hierarchical structure is implemented, with interior-point algorithms employed to solve the resulting optimization problems. A simulation platform, designed to replicate the thermal dynamics and the heating system mechanisms of a real building is used to test the strategy. The MPC formulation is compared to the standard weather compensation scheme used in the building on which the simulation platform is based.

KW - Building energy efficiency

KW - Building modelling

KW - Model Predictive Control

KW - Parameter identification

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DO - 10.1049/cp.2014.0702

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T3 - IET Conference Publications

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BT - IET Conference Publications

PB - Institution of Engineering and Technology

T2 - 25th IET Irish Signals and Systems Conference, ISSC 2014 and China-Ireland International Conference on Information and Communications Technologies, CIICT 2014

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ER -

A hierarchical Model-based Predictive Control strategy for building heating systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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