On-line parameter estimation of reduced-order models for buildings energy dynamics using the modulating function method

Ana Ionesi, Jerome Jouffroy

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper considers parameter estimation of a reduced-order model (ROM) for building energy dynamics using the modulating function (MF) method. After briefly presenting a model of building dynamics, we recall the MF method and present a way of determining a modulating function directly from the available data instead of defining it a priori. Then, we look at the application of this method in a case study, where actual weather-based data (solar radiation and outdoor ambient temperature) is used. The results together with the advantages of the MF underline the potential of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of the 2018 Winter Simulation Conference : Simulation for a Noble Cause
EditorsM. Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, B. Johansson
PublisherIEEE
Publication date31. Jan 2019
Pages503-514
ISBN (Print)978-1-5386-6573-2
ISBN (Electronic)978-1-5386-6572-5
DOIs
Publication statusPublished - 31. Jan 2019
Event2018 Winter Simulation Conference - Gothenburg, Sweden
Duration: 9. Dec 201812. Dec 2018
Conference number: WSC

Conference

Conference2018 Winter Simulation Conference
NumberWSC
CountrySweden
CityGothenburg
Period09/12/201812/12/2018
SeriesWinter Simulation Conference. Proceedings
ISSN0891-7736

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Parameter estimation
Solar radiation
Temperature

Cite this

Ionesi, A., & Jouffroy, J. (2019). On-line parameter estimation of reduced-order models for buildings energy dynamics using the modulating function method. In M. Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, & B. Johansson (Eds.), Proceedings of the 2018 Winter Simulation Conference: Simulation for a Noble Cause (pp. 503-514). IEEE. Winter Simulation Conference. Proceedings https://doi.org/10.1109/WSC.2018.8632310
Ionesi, Ana ; Jouffroy, Jerome. / On-line parameter estimation of reduced-order models for buildings energy dynamics using the modulating function method. Proceedings of the 2018 Winter Simulation Conference: Simulation for a Noble Cause. editor / M. Rabe ; A. A. Juan ; N. Mustafee ; A. Skoogh ; S. Jain ; B. Johansson. IEEE, 2019. pp. 503-514 (Winter Simulation Conference. Proceedings).
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Ionesi, A & Jouffroy, J 2019, On-line parameter estimation of reduced-order models for buildings energy dynamics using the modulating function method. in M Rabe, AA Juan, N Mustafee, A Skoogh, S Jain & B Johansson (eds), Proceedings of the 2018 Winter Simulation Conference: Simulation for a Noble Cause. IEEE, Winter Simulation Conference. Proceedings, pp. 503-514, Gothenburg, Sweden, 09/12/2018. https://doi.org/10.1109/WSC.2018.8632310

On-line parameter estimation of reduced-order models for buildings energy dynamics using the modulating function method. / Ionesi, Ana; Jouffroy, Jerome.

Proceedings of the 2018 Winter Simulation Conference: Simulation for a Noble Cause. ed. / M. Rabe; A. A. Juan; N. Mustafee; A. Skoogh; S. Jain; B. Johansson. IEEE, 2019. p. 503-514 (Winter Simulation Conference. Proceedings).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Ionesi A, Jouffroy J. On-line parameter estimation of reduced-order models for buildings energy dynamics using the modulating function method. In Rabe M, Juan AA, Mustafee N, Skoogh A, Jain S, Johansson B, editors, Proceedings of the 2018 Winter Simulation Conference: Simulation for a Noble Cause. IEEE. 2019. p. 503-514. (Winter Simulation Conference. Proceedings). https://doi.org/10.1109/WSC.2018.8632310