Potential Energy Flexibility for a Hot-Water Based Heating System in Smart Buildings Via Economic Model Predictive Control

Awadelrahman M. A. Ahmed; Yi Zong; Lucian Mihet-Popa; Jorge Bruna; Carsten Agert; Xianyong Xiao

doi:10.1109/ISCSIC.2017.14

Potential Energy Flexibility for a Hot-Water Based Heating System in Smart Buildings Via Economic Model Predictive Control

Awadelrahman M. A. Ahmed, Yi Zong, Lucian Mihet-Popa, Jorge Bruna, Carsten Agert, Xianyong Xiao

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This paper studies the potential of shifting the heating energy consumption in a residential building to low price periods based on varying electricity price signals suing Economic Model Predictive Control strategy. The investigated heating system consists of a heat pump incorporated with a hot water tank as active thermal energy storage, where two optimization problems are integrated together to optimize both the heat pump electricity consumption and the building heating consumption. A sensitivity analysis for the system flexibility is examined. The results revealed that the proposed controller can successfully achieve significant shifting potentials compared to a baseline case.

Original language	English
Title of host publication	Proceedings of 2017 International Symposium on Computer Science and Intelligent Controls
Number of pages	5
Publisher	IEEE
Publication date	2017
Pages	1-5
ISBN (Print)	978-1-5386-2941-3
DOIs	https://doi.org/10.1109/ISCSIC.2017.14
Publication status	Published - 2017
Event	2017 International Symposium on Computer Science and Intelligent Controls - Budapest University of Technology and Economics, Budapest, Hungary Duration: 20 Oct 2017 → 22 Oct 2017

Conference

Conference	2017 International Symposium on Computer Science and Intelligent Controls
Location	Budapest University of Technology and Economics
Country/Territory	Hungary
City	Budapest
Period	20/10/2017 → 22/10/2017

Keywords

Building Energy Management System
Demand Response
Economic Model Predictive Control
Energy Flexibility
Heat Pumps
Smart Buildings
Thermal Energy Storage

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ISCSIC.2017.14

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Full text

EPIMES: Enhancing wind Power Integration through optimal use of cross-sectoral flexibility in an integrated Multi-Energy System
Bindner, H. W., Zong, Y., You, S., Zhang, Z., Chyhryn, S. & Olsen, K. P.
01/10/2016 → 31/03/2020
Project: Research

Cite this

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title = "Potential Energy Flexibility for a Hot-Water Based Heating System in Smart Buildings Via Economic Model Predictive Control",

abstract = "This paper studies the potential of shifting the heating energy consumption in a residential building to low price periods based on varying electricity price signals suing Economic Model Predictive Control strategy. The investigated heating system consists of a heat pump incorporated with a hot water tank as active thermal energy storage, where two optimization problems are integrated together to optimize both the heat pump electricity consumption and the building heating consumption. A sensitivity analysis for the system flexibility is examined. The results revealed that the proposed controller can successfully achieve significant shifting potentials compared to a baseline case.",

keywords = "Building Energy Management System, Demand Response, Economic Model Predictive Control, Energy Flexibility, Heat Pumps, Smart Buildings, Thermal Energy Storage",

author = "Ahmed, {Awadelrahman M. A.} and Yi Zong and Lucian Mihet-Popa and Jorge Bruna and Carsten Agert and Xianyong Xiao",

year = "2017",

doi = "10.1109/ISCSIC.2017.14",

language = "English",

isbn = "978-1-5386-2941-3",

pages = "1--5",

booktitle = "Proceedings of 2017 International Symposium on Computer Science and Intelligent Controls",

publisher = "IEEE",

address = "United States",

note = "2017 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017 ; Conference date: 20-10-2017 Through 22-10-2017",

}

Ahmed, AMA, Zong, Y, Mihet-Popa, L, Bruna, J, Agert, C & Xiao, X 2017, Potential Energy Flexibility for a Hot-Water Based Heating System in Smart Buildings Via Economic Model Predictive Control. in Proceedings of 2017 International Symposium on Computer Science and Intelligent Controls. IEEE, pp. 1-5, 2017 International Symposium on Computer Science and Intelligent Controls, Budapest, Hungary, 20/10/2017. https://doi.org/10.1109/ISCSIC.2017.14

Potential Energy Flexibility for a Hot-Water Based Heating System in Smart Buildings Via Economic Model Predictive Control. / Ahmed, Awadelrahman M. A.; Zong, Yi; Mihet-Popa, Lucian et al.
Proceedings of 2017 International Symposium on Computer Science and Intelligent Controls. IEEE, 2017. p. 1-5.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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T1 - Potential Energy Flexibility for a Hot-Water Based Heating System in Smart Buildings Via Economic Model Predictive Control

AU - Ahmed, Awadelrahman M. A.

AU - Zong, Yi

AU - Mihet-Popa, Lucian

AU - Bruna, Jorge

AU - Agert, Carsten

AU - Xiao, Xianyong

PY - 2017

Y1 - 2017

N2 - This paper studies the potential of shifting the heating energy consumption in a residential building to low price periods based on varying electricity price signals suing Economic Model Predictive Control strategy. The investigated heating system consists of a heat pump incorporated with a hot water tank as active thermal energy storage, where two optimization problems are integrated together to optimize both the heat pump electricity consumption and the building heating consumption. A sensitivity analysis for the system flexibility is examined. The results revealed that the proposed controller can successfully achieve significant shifting potentials compared to a baseline case.

AB - This paper studies the potential of shifting the heating energy consumption in a residential building to low price periods based on varying electricity price signals suing Economic Model Predictive Control strategy. The investigated heating system consists of a heat pump incorporated with a hot water tank as active thermal energy storage, where two optimization problems are integrated together to optimize both the heat pump electricity consumption and the building heating consumption. A sensitivity analysis for the system flexibility is examined. The results revealed that the proposed controller can successfully achieve significant shifting potentials compared to a baseline case.

KW - Building Energy Management System

KW - Demand Response

KW - Economic Model Predictive Control

KW - Energy Flexibility

KW - Heat Pumps

KW - Smart Buildings

KW - Thermal Energy Storage

U2 - 10.1109/ISCSIC.2017.14

DO - 10.1109/ISCSIC.2017.14

M3 - Article in proceedings

SN - 978-1-5386-2941-3

SP - 1

EP - 5

BT - Proceedings of 2017 International Symposium on Computer Science and Intelligent Controls

PB - IEEE

T2 - 2017 International Symposium on Computer Science and Intelligent Controls

Y2 - 20 October 2017 through 22 October 2017

ER -

Potential Energy Flexibility for a Hot-Water Based Heating System in Smart Buildings Via Economic Model Predictive Control

Abstract

Conference

Keywords

UN SDGs

Access to Document

OpenUrl availability

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Projects

EPIMES: Enhancing wind Power Integration through optimal use of cross-sectoral flexibility in an integrated Multi-Energy System

Cite this