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 proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

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 languageUndefined
Title of host publication4th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2015)
EditorsMarkus Helfert, Karl-Heinz Krempels, Brian Donnellan, Cornel Klein
Place of PublicationPortugal
PublisherINSTICC Institute for Systems and Technologies of Information, Control and Communication
Pages136-147
Number of pages12
ISBN (Print)978-989-758-105-2
DOIs
Publication statusPublished - 2015
Event4th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2015 - Lisbon, Portugal
Duration: 20 May 201522 May 2015
Conference number: 4

Publication series

Name
PublisherInsticc Institute for Systems and Technologies of Information, Control and Communication

Conference

Conference4th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2015
Abbreviated titleSMARTGREENS
CountryPortugal
CityLisbon
Period20/05/1522/05/15

Keywords

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

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). Portugal: 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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title = "Central model predictive control of a group of domestic heat pumps, case study for a small district",
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",
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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 proceedingConference contributionAcademicpeer-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 - eemcs-eprint-26525

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

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 K-H, 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 https://doi.org/10.5220/0005434301360147