Central model predictive control of a group of domestic heat pumps, case study for a small district

Richard Pieter van Leeuwen; J. Fink; Gerardus Johannes Maria Smit

doi:10.5220/0005434301360147

Central model predictive control of a group of domestic heat pumps, case study for a small district

Richard Pieter van Leeuwen, J. Fink, Gerardus Johannes Maria Smit

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

5 Citations (Scopus)

4 Downloads (Pure)

Abstract

In this paper we investigate optimal control of a group of heat pumps. Each heat pump provides space heating and domestic hot water to a single household. Besides a heat pump, each house has a buffer for domestic hot water and a floor heating system for space heating. The paper describes models and algorithms used for the prediction and planning steps in order to obtain a planning for the heat pumps. The optimization algorithm minimizes the maximum peak electricity demand of the district. Simulated results demonstrate the resulting aggregated electricity demand, the obtained thermal comfort and the state of charge of the domestic hot water storage for an example house. Our results show that a model predictive control outperforms conventional control of individual heat pumps based on feedback control principles.

Original language	Undefined
Title of host publication	4th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2015)
Editors	Markus Helfert, Karl-Heinz Krempels, Brian Donnellan, Cornel Klein
Place of Publication	Portugal
Publisher	INSTICC Institute for Systems and Technologies of Information, Control and Communication
Pages	136-147
Number of pages	12
ISBN (Print)	978-989-758-105-2
DOIs	https://doi.org/10.5220/0005434301360147
Publication status	Published - 2015
Event	4th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2015 - Lisbon, Portugal Duration: 20 May 2015 → 22 May 2015 Conference number: 4

Publication series

Name
Publisher	Insticc Institute for Systems and Technologies of Information, Control and Communication

Conference

Conference	4th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2015
Abbreviated title	SMARTGREENS
Country/Territory	Portugal
City	Lisbon
Period	20/05/15 → 22/05/15

Keywords

EWI-26525
Domestic Hot Water
Heat Pump
Smart Grid Control
METIS-315072
Optimization
IR-98558
Floor Heating
Model Predictive Control
Thermal Storage

Access to Document

10.5220/0005434301360147

http://eprints.eemcs.utwente.nl/secure2/26525/01/54343.pdf

Cite this

van Leeuwen, R. P., Fink, J., & Smit, G. J. M. (2015). Central model predictive control of a group of domestic heat pumps, case study for a small district. In M. Helfert, K.-H. Krempels, B. Donnellan, & C. Klein (Eds.), 4th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2015) (pp. 136-147). INSTICC Institute for Systems and Technologies of Information, Control and Communication. https://doi.org/10.5220/0005434301360147

van Leeuwen, Richard Pieter ; Fink, J. ; Smit, Gerardus Johannes Maria. / Central model predictive control of a group of domestic heat pumps, case study for a small district. 4th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2015). editor / Markus Helfert ; Karl-Heinz Krempels ; Brian Donnellan ; Cornel Klein. Portugal : INSTICC Institute for Systems and Technologies of Information, Control and Communication, 2015. pp. 136-147

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abstract = "In this paper we investigate optimal control of a group of heat pumps. Each heat pump provides space heating and domestic hot water to a single household. Besides a heat pump, each house has a buffer for domestic hot water and a floor heating system for space heating. The paper describes models and algorithms used for the prediction and planning steps in order to obtain a planning for the heat pumps. The optimization algorithm minimizes the maximum peak electricity demand of the district. Simulated results demonstrate the resulting aggregated electricity demand, the obtained thermal comfort and the state of charge of the domestic hot water storage for an example house. Our results show that a model predictive control outperforms conventional control of individual heat pumps based on feedback control principles.",

keywords = "EWI-26525, Domestic Hot Water, Heat Pump, Smart Grid Control, METIS-315072, Optimization, IR-98558, Floor Heating, Model Predictive Control, Thermal Storage",

author = "{van Leeuwen}, {Richard Pieter} and J. Fink and Smit, {Gerardus Johannes Maria}",

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van Leeuwen, RP, Fink, J & Smit, GJM 2015, Central model predictive control of a group of domestic heat pumps, case study for a small district. in M Helfert, K-H Krempels, B Donnellan & C Klein (eds), 4th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2015). INSTICC Institute for Systems and Technologies of Information, Control and Communication, Portugal, pp. 136-147, 4th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2015, Lisbon, Portugal, 20/05/15. https://doi.org/10.5220/0005434301360147

Central model predictive control of a group of domestic heat pumps, case study for a small district. / van Leeuwen, Richard Pieter; Fink, J.; Smit, Gerardus Johannes Maria.
4th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2015). ed. / Markus Helfert; Karl-Heinz Krempels; Brian Donnellan; Cornel Klein. Portugal: INSTICC Institute for Systems and Technologies of Information, Control and Communication, 2015. p. 136-147.

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

TY - GEN

T1 - Central model predictive control of a group of domestic heat pumps, case study for a small district

AU - van Leeuwen, Richard Pieter

AU - Fink, J.

AU - Smit, Gerardus Johannes Maria

N1 - Conference code: 4

PY - 2015

Y1 - 2015

N2 - In this paper we investigate optimal control of a group of heat pumps. Each heat pump provides space heating and domestic hot water to a single household. Besides a heat pump, each house has a buffer for domestic hot water and a floor heating system for space heating. The paper describes models and algorithms used for the prediction and planning steps in order to obtain a planning for the heat pumps. The optimization algorithm minimizes the maximum peak electricity demand of the district. Simulated results demonstrate the resulting aggregated electricity demand, the obtained thermal comfort and the state of charge of the domestic hot water storage for an example house. Our results show that a model predictive control outperforms conventional control of individual heat pumps based on feedback control principles.

AB - In this paper we investigate optimal control of a group of heat pumps. Each heat pump provides space heating and domestic hot water to a single household. Besides a heat pump, each house has a buffer for domestic hot water and a floor heating system for space heating. The paper describes models and algorithms used for the prediction and planning steps in order to obtain a planning for the heat pumps. The optimization algorithm minimizes the maximum peak electricity demand of the district. Simulated results demonstrate the resulting aggregated electricity demand, the obtained thermal comfort and the state of charge of the domestic hot water storage for an example house. Our results show that a model predictive control outperforms conventional control of individual heat pumps based on feedback control principles.

KW - EWI-26525

KW - Domestic Hot Water

KW - Heat Pump

KW - Smart Grid Control

KW - METIS-315072

KW - Optimization

KW - IR-98558

KW - Floor Heating

KW - Model Predictive Control

KW - Thermal Storage

U2 - 10.5220/0005434301360147

DO - 10.5220/0005434301360147

M3 - Conference contribution

SN - 978-989-758-105-2

SP - 136

EP - 147

BT - 4th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2015)

A2 - Helfert, Markus

A2 - Krempels, Karl-Heinz

A2 - Donnellan, Brian

A2 - Klein, Cornel

PB - INSTICC Institute for Systems and Technologies of Information, Control and Communication

CY - Portugal

T2 - 4th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2015

Y2 - 20 May 2015 through 22 May 2015

ER -

van Leeuwen RP, Fink J, Smit GJM. Central model predictive control of a group of domestic heat pumps, case study for a small district. In Helfert M, Krempels KH, Donnellan B, Klein C, editors, 4th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2015). Portugal: INSTICC Institute for Systems and Technologies of Information, Control and Communication. 2015. p. 136-147 doi: 10.5220/0005434301360147