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26525 Central model predictive control of a group of domestic heat pumps, case study for a small district
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van Leeuwen, R.P. and Fink, J. and Smit, G.J.M. (2015) Central model predictive control of a group of domestic heat pumps, case study for a small district. In: 4th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2015), 20-22 May 2015, Lisbon, Portugal. pp. 136-147. Insticc Institute for Systems and Technologies of Information, Control and Communication. ISBN 978-989-758-105-2

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Official URL: http://dx.doi.org/10.5220/0005434301360147

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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.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-CAES: Computer Architecture for Embedded Systems
Research Program:CTIT-General
Research Project:Smart Grid Meppel Energie
Uncontrolled Keywords:Heat Pump, Smart Grid Control, Domestic Hot Water, Floor Heating, Thermal Storage, Model Predictive Control, Optimization
ID Code:26525
Status:Published
Deposited On:14 December 2015
Refereed:Yes
International:Yes
More Information:statisticsmetis

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