Intelligent Scheduling of a Grid-Connected Heat Pump in a Danish Detached House

Panagiota Gianniou, Kyriaki Foteinaki, Alfred Heller, Carsten Rode

Research output: Contribution to conferencePaperResearchpeer-review

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Abstract

This study proposes a methodology for intelligent scheduling of a heat pump installed in a refurbished grid-connected detached house in Denmark. This scheduling is conducted through the coupling of a dynamic building simulation tool with an optimization tool. The optimization of the operation of the system is based on a price-signal considering a three-day period for different weather cases. The results show that the optimal scheduling of the system is successful in terms of reducing the peak load during times when electricity prices are high, thus achieving cost savings as well as maintaining good thermal comfort conditions. The proposed methodology bridges dynamic building modelling with optimization of real-time operation of HVAC systems offering a detailed model for building physics, especially regarding thermal mass and a stochastic price-based control.
Original languageEnglish
Publication date2017
Publication statusPublished - 2017
EventBuilding Simulation 2017: The 15th International Conference of IBPSA - San Francisco, United States
Duration: 7 Aug 20179 Aug 2017
Conference number: 15

Conference

ConferenceBuilding Simulation 2017
Number15
CountryUnited States
CitySan Francisco
Period07/08/201709/08/2017

Cite this

Gianniou, P., Foteinaki, K., Heller, A., & Rode, C. (2017). Intelligent Scheduling of a Grid-Connected Heat Pump in a Danish Detached House. Paper presented at Building Simulation 2017, San Francisco, United States.
Gianniou, Panagiota ; Foteinaki, Kyriaki ; Heller, Alfred ; Rode, Carsten. / Intelligent Scheduling of a Grid-Connected Heat Pump in a Danish Detached House. Paper presented at Building Simulation 2017, San Francisco, United States.
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abstract = "This study proposes a methodology for intelligent scheduling of a heat pump installed in a refurbished grid-connected detached house in Denmark. This scheduling is conducted through the coupling of a dynamic building simulation tool with an optimization tool. The optimization of the operation of the system is based on a price-signal considering a three-day period for different weather cases. The results show that the optimal scheduling of the system is successful in terms of reducing the peak load during times when electricity prices are high, thus achieving cost savings as well as maintaining good thermal comfort conditions. The proposed methodology bridges dynamic building modelling with optimization of real-time operation of HVAC systems offering a detailed model for building physics, especially regarding thermal mass and a stochastic price-based control.",
author = "Panagiota Gianniou and Kyriaki Foteinaki and Alfred Heller and Carsten Rode",
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note = "Building Simulation 2017 : The 15th International Conference of IBPSA ; Conference date: 07-08-2017 Through 09-08-2017",

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Gianniou, P, Foteinaki, K, Heller, A & Rode, C 2017, 'Intelligent Scheduling of a Grid-Connected Heat Pump in a Danish Detached House', Paper presented at Building Simulation 2017, San Francisco, United States, 07/08/2017 - 09/08/2017.

Intelligent Scheduling of a Grid-Connected Heat Pump in a Danish Detached House. / Gianniou, Panagiota; Foteinaki, Kyriaki; Heller, Alfred; Rode, Carsten.

2017. Paper presented at Building Simulation 2017, San Francisco, United States.

Research output: Contribution to conferencePaperResearchpeer-review

TY - CONF

T1 - Intelligent Scheduling of a Grid-Connected Heat Pump in a Danish Detached House

AU - Gianniou, Panagiota

AU - Foteinaki, Kyriaki

AU - Heller, Alfred

AU - Rode, Carsten

PY - 2017

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N2 - This study proposes a methodology for intelligent scheduling of a heat pump installed in a refurbished grid-connected detached house in Denmark. This scheduling is conducted through the coupling of a dynamic building simulation tool with an optimization tool. The optimization of the operation of the system is based on a price-signal considering a three-day period for different weather cases. The results show that the optimal scheduling of the system is successful in terms of reducing the peak load during times when electricity prices are high, thus achieving cost savings as well as maintaining good thermal comfort conditions. The proposed methodology bridges dynamic building modelling with optimization of real-time operation of HVAC systems offering a detailed model for building physics, especially regarding thermal mass and a stochastic price-based control.

AB - This study proposes a methodology for intelligent scheduling of a heat pump installed in a refurbished grid-connected detached house in Denmark. This scheduling is conducted through the coupling of a dynamic building simulation tool with an optimization tool. The optimization of the operation of the system is based on a price-signal considering a three-day period for different weather cases. The results show that the optimal scheduling of the system is successful in terms of reducing the peak load during times when electricity prices are high, thus achieving cost savings as well as maintaining good thermal comfort conditions. The proposed methodology bridges dynamic building modelling with optimization of real-time operation of HVAC systems offering a detailed model for building physics, especially regarding thermal mass and a stochastic price-based control.

M3 - Paper

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Gianniou P, Foteinaki K, Heller A, Rode C. Intelligent Scheduling of a Grid-Connected Heat Pump in a Danish Detached House. 2017. Paper presented at Building Simulation 2017, San Francisco, United States.