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 proceedingArticle in proceedingsResearchpeer-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 languageEnglish
Title of host publication2020 6th IEEE International Energy Conference (ENERGYCon)
PublisherIEEE
Publication date29. Oct 2020
Pages451-456
ISBN (Electronic)978-1-7281-2956-3
DOIs
Publication statusPublished - 29. Oct 2020
Event6th IEEE International Energy Conference (ENERGYCon) 2020 - Gammarth, Tunisia
Duration: 28. Sep 20201. Oct 2020

Conference

Conference6th IEEE International Energy Conference (ENERGYCon) 2020
CountryTunisia
CityGammarth
Period28/09/202001/10/2020

Keywords

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

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