Implementation and performance analysis of a multi-energy building emulator

Tao Yang; Konstantin Filonenko; Krzysztof Arendt; Christian Veje

doi:10.1109/ENERGYCon48941.2020.9236623

Implementation and performance analysis of a multi-energy building emulator

Tao Yang^*, Konstantin Filonenko, Krzysztof Arendt, Christian Veje

^*Corresponding author for this work

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

Abstract

An accurate and fast model is essential for implementation of model predictive control (MPC) in building management systems to reduce the load on electric grid without sacrificing occupant comfort. In this paper, an open source emulation model (made available on GitHub) has been developed for a Danish university teaching building to be applied in the MPC toolchain BOBTEST within the IBPSA project 1. The model is calibrated and realistic occupancy is introduced based on data measured by meters installed in the building. Simulation and sensitivity analysis performed on controllers and electricity-consuming devices helped to improve the emulator implementation and make it BOBTEST-ready. Results indicate that (1) the model is physically realistic in terms of electric load and thermal comfort estimation and (2) a new control/actuation setup considerably improves simulation time.

Original language	English
Title of host publication	2020 6th IEEE International Energy Conference (ENERGYCon)
Publisher	IEEE
Publication date	29. Oct 2020
Pages	451-456
ISBN (Electronic)	978-1-7281-2956-3
DOIs	https://doi.org/10.1109/ENERGYCon48941.2020.9236623
Publication status	Published - 29. Oct 2020
Event	6th IEEE International Energy Conference (ENERGYCon) 2020 - Gammarth, Tunisia Duration: 28. Sept 2020 → 1. Oct 2020

Conference

Conference	6th IEEE International Energy Conference (ENERGYCon) 2020
Country/Territory	Tunisia
City	Gammarth
Period	28/09/2020 → 01/10/2020

Keywords

Building energy system
Emulator
Energy storage
Model predictive control
Multi-energy simulation

Documents & Links

10.1109/ENERGYCon48941.2020.9236623

1 Ph.D. thesis

Analysis and Application of Model Predictive Control in Energy Systems
Yang, T., 18. Mar 2022, Syddansk Universitet. Det Tekniske Fakultet. 138 p.
Research output: Thesis › Ph.D. thesis

Open Access
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Cite this

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title = "Implementation and performance analysis of a multi-energy building emulator",

abstract = "An accurate and fast model is essential for implementation of model predictive control (MPC) in building management systems to reduce the load on electric grid without sacrificing occupant comfort. In this paper, an open source emulation model (made available on GitHub) has been developed for a Danish university teaching building to be applied in the MPC toolchain BOBTEST within the IBPSA project 1. The model is calibrated and realistic occupancy is introduced based on data measured by meters installed in the building. Simulation and sensitivity analysis performed on controllers and electricity-consuming devices helped to improve the emulator implementation and make it BOBTEST-ready. Results indicate that (1) the model is physically realistic in terms of electric load and thermal comfort estimation and (2) a new control/actuation setup considerably improves simulation time.",

keywords = "Building energy system, Emulator, Energy storage, Model predictive control, Multi-energy simulation",

author = "Tao Yang and Konstantin Filonenko and Krzysztof Arendt and Christian Veje",

year = "2020",

month = oct,

day = "29",

doi = "10.1109/ENERGYCon48941.2020.9236623",

language = "English",

pages = "451--456",

booktitle = "2020 6th IEEE International Energy Conference (ENERGYCon)",

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address = "United States",

note = "6th IEEE International Energy Conference (ENERGYCon) 2020 ; Conference date: 28-09-2020 Through 01-10-2020",

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TY - GEN

T1 - Implementation and performance analysis of a multi-energy building emulator

AU - Yang, Tao

AU - Filonenko, Konstantin

AU - Arendt, Krzysztof

AU - Veje, Christian

PY - 2020/10/29

Y1 - 2020/10/29

N2 - An accurate and fast model is essential for implementation of model predictive control (MPC) in building management systems to reduce the load on electric grid without sacrificing occupant comfort. In this paper, an open source emulation model (made available on GitHub) has been developed for a Danish university teaching building to be applied in the MPC toolchain BOBTEST within the IBPSA project 1. The model is calibrated and realistic occupancy is introduced based on data measured by meters installed in the building. Simulation and sensitivity analysis performed on controllers and electricity-consuming devices helped to improve the emulator implementation and make it BOBTEST-ready. Results indicate that (1) the model is physically realistic in terms of electric load and thermal comfort estimation and (2) a new control/actuation setup considerably improves simulation time.

AB - An accurate and fast model is essential for implementation of model predictive control (MPC) in building management systems to reduce the load on electric grid without sacrificing occupant comfort. In this paper, an open source emulation model (made available on GitHub) has been developed for a Danish university teaching building to be applied in the MPC toolchain BOBTEST within the IBPSA project 1. The model is calibrated and realistic occupancy is introduced based on data measured by meters installed in the building. Simulation and sensitivity analysis performed on controllers and electricity-consuming devices helped to improve the emulator implementation and make it BOBTEST-ready. Results indicate that (1) the model is physically realistic in terms of electric load and thermal comfort estimation and (2) a new control/actuation setup considerably improves simulation time.

KW - Building energy system

KW - Emulator

KW - Energy storage

KW - Model predictive control

KW - Multi-energy simulation

U2 - 10.1109/ENERGYCon48941.2020.9236623

DO - 10.1109/ENERGYCon48941.2020.9236623

M3 - Article in proceedings

SP - 451

EP - 456

BT - 2020 6th IEEE International Energy Conference (ENERGYCon)

PB - IEEE

T2 - 6th IEEE International Energy Conference (ENERGYCon) 2020

Y2 - 28 September 2020 through 1 October 2020

ER -

Implementation and performance analysis of a multi-energy building emulator

Abstract

Conference

Keywords

Documents & Links

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Related research output

Analysis and Application of Model Predictive Control in Energy Systems

Cite this