Linear programming control of a group of heat pumps

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

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
50 Downloads (Pure)

Abstract

For a new district in the Dutch city Meppel, a hybrid energy concept is developed based on bio-gas co-generation. The generated electricity is used to power domestic heat pumps which supply thermal energy for domestic hot water and space heating demand of households. In this paper, we investigate direct control of the heat pumps by the utility and how the large-scale optimization problem that is created can be reduced significantly. Two different linear programming control methods (global MILP and time scale MILP) are presented. The latter solves large-scale optimization problems in considerably less computational time. For simulation purposes, data of household thermal demand is obtained from prediction models developed for this research. The control methods are compared with a reference control method resembling PI on/off control of each heat pump. The reference control results in a dynamic electricity consumption with many peak loads on the network, which indicates a high level of simultaneous running heat pumps at those times. Both methods of mix integer linear programming (MILP) control of the heat pumps lead to a much improved, almost flat electricity consumption profile. Both optimization control methods are equally able to minimize the maximum peak consumption of electric power by the heat pumps, but the time scale MILP method requires much less computational effort. Future work is dedicated on further development of optimized control of the heat pumps and the central CHP.
Original languageEnglish
Pages (from-to)-
Number of pages10
JournalEnergy, sustainability and society
Volume5
Issue number33
DOIs
Publication statusPublished - 17 Nov 2015

Fingerprint

linear programing
heat pump
Linear programming
programming
Pumps
Group
electricity consumption
Electricity
timescale
cogeneration
Hot water heating
Hot Temperature
biogas
Space heating
energy supply
energy
demand
method
Biogas
electricity

Keywords

  • Thermal Storage
  • Demand Side Management
  • Heat pumps
  • Load Balancing
  • Smart Grid
  • Linear programming control

Cite this

@article{e2487c3ba3f24e229be34eed17aa258b,
title = "Linear programming control of a group of heat pumps",
abstract = "For a new district in the Dutch city Meppel, a hybrid energy concept is developed based on bio-gas co-generation. The generated electricity is used to power domestic heat pumps which supply thermal energy for domestic hot water and space heating demand of households. In this paper, we investigate direct control of the heat pumps by the utility and how the large-scale optimization problem that is created can be reduced significantly. Two different linear programming control methods (global MILP and time scale MILP) are presented. The latter solves large-scale optimization problems in considerably less computational time. For simulation purposes, data of household thermal demand is obtained from prediction models developed for this research. The control methods are compared with a reference control method resembling PI on/off control of each heat pump. The reference control results in a dynamic electricity consumption with many peak loads on the network, which indicates a high level of simultaneous running heat pumps at those times. Both methods of mix integer linear programming (MILP) control of the heat pumps lead to a much improved, almost flat electricity consumption profile. Both optimization control methods are equally able to minimize the maximum peak consumption of electric power by the heat pumps, but the time scale MILP method requires much less computational effort. Future work is dedicated on further development of optimized control of the heat pumps and the central CHP.",
keywords = "Thermal Storage, Demand Side Management, Heat pumps, Load Balancing, Smart Grid, Linear programming control",
author = "J. Fink and {van Leeuwen}, {Richard Pieter} and Hurink, {Johann L.} and Smit, {Gerardus Johannes Maria}",
note = "eemcs-eprint-26524",
year = "2015",
month = "11",
day = "17",
doi = "10.1186/s13705-015-0061-9",
language = "English",
volume = "5",
pages = "--",
journal = "Energy, sustainability and society",
issn = "2192-0567",
publisher = "Springer",
number = "33",

}

Linear programming control of a group of heat pumps. / Fink, J.; van Leeuwen, Richard Pieter; Hurink, Johann L.; Smit, Gerardus Johannes Maria.

In: Energy, sustainability and society, Vol. 5, No. 33, 17.11.2015, p. -.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Linear programming control of a group of heat pumps

AU - Fink, J.

AU - van Leeuwen, Richard Pieter

AU - Hurink, Johann L.

AU - Smit, Gerardus Johannes Maria

N1 - eemcs-eprint-26524

PY - 2015/11/17

Y1 - 2015/11/17

N2 - For a new district in the Dutch city Meppel, a hybrid energy concept is developed based on bio-gas co-generation. The generated electricity is used to power domestic heat pumps which supply thermal energy for domestic hot water and space heating demand of households. In this paper, we investigate direct control of the heat pumps by the utility and how the large-scale optimization problem that is created can be reduced significantly. Two different linear programming control methods (global MILP and time scale MILP) are presented. The latter solves large-scale optimization problems in considerably less computational time. For simulation purposes, data of household thermal demand is obtained from prediction models developed for this research. The control methods are compared with a reference control method resembling PI on/off control of each heat pump. The reference control results in a dynamic electricity consumption with many peak loads on the network, which indicates a high level of simultaneous running heat pumps at those times. Both methods of mix integer linear programming (MILP) control of the heat pumps lead to a much improved, almost flat electricity consumption profile. Both optimization control methods are equally able to minimize the maximum peak consumption of electric power by the heat pumps, but the time scale MILP method requires much less computational effort. Future work is dedicated on further development of optimized control of the heat pumps and the central CHP.

AB - For a new district in the Dutch city Meppel, a hybrid energy concept is developed based on bio-gas co-generation. The generated electricity is used to power domestic heat pumps which supply thermal energy for domestic hot water and space heating demand of households. In this paper, we investigate direct control of the heat pumps by the utility and how the large-scale optimization problem that is created can be reduced significantly. Two different linear programming control methods (global MILP and time scale MILP) are presented. The latter solves large-scale optimization problems in considerably less computational time. For simulation purposes, data of household thermal demand is obtained from prediction models developed for this research. The control methods are compared with a reference control method resembling PI on/off control of each heat pump. The reference control results in a dynamic electricity consumption with many peak loads on the network, which indicates a high level of simultaneous running heat pumps at those times. Both methods of mix integer linear programming (MILP) control of the heat pumps lead to a much improved, almost flat electricity consumption profile. Both optimization control methods are equally able to minimize the maximum peak consumption of electric power by the heat pumps, but the time scale MILP method requires much less computational effort. Future work is dedicated on further development of optimized control of the heat pumps and the central CHP.

KW - Thermal Storage

KW - Demand Side Management

KW - Heat pumps

KW - Load Balancing

KW - Smart Grid

KW - Linear programming control

U2 - 10.1186/s13705-015-0061-9

DO - 10.1186/s13705-015-0061-9

M3 - Article

VL - 5

SP - -

JO - Energy, sustainability and society

JF - Energy, sustainability and society

SN - 2192-0567

IS - 33

ER -