The influence of unmeasured occupancy disturbances on the performance of black-box thermal building models

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The influence of unmeasured occupancy disturbances on the performance of black-box thermal building models. / Rævdal Lund Christensen, Louise; Hauge Broholt, Thea; Dahl Knudsen, Michael; Elbæk Hedegaard, Rasmus; Petersen, Steffen.

I: E3S Web of Conferences, Bind 172, 02010, 06.2020.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisKonferenceartikelForskningpeer review

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@inproceedings{e9dece935d4a4a89ba4ba7f5bab0826b,
title = "The influence of unmeasured occupancy disturbances on the performance of black-box thermal building models",
abstract = "Previous studies have identified a significant potential in using economic model predictive control for space heating. This type of control requires a thermodynamic model of the controlled building that maps certain controllable inputs (heat power) and measured disturbances (ambient temperature and solar irradiation) to the controlled output variable (room temperature). Occupancy related disturbances, such as people heat gains and venting through windows, are often completely ignored or assumed to be fully known (measured) in these studies. However, this assumption is usually not fulfilled in practice and the current simulation study investigated the consequences thereof. The results indicate that the predictive performance (root mean square errors) of a black-box state-space model is not significantly affected by ignoring people heat gains. On the other hand, the predictive performance was significantly improved by including window opening status as a model input. The performance of black-box models for MPC of space heating could therefore benefit from having inputs from sensors that tracks window opening.",
author = "{R{\ae}vdal Lund Christensen}, Louise and {Hauge Broholt}, Thea and {Dahl Knudsen}, Michael and {Elb{\ae}k Hedegaard}, Rasmus and Steffen Petersen",
year = "2020",
month = jun,
doi = "10.1051/e3sconf/202017202010",
language = "English",
volume = "172",
journal = "E3S Web of Conferences",
issn = "2267-1242",
publisher = "EDP Sciences",
note = "12th Nordic Symposium on Building Physics, NSB 2020 ; Conference date: 06-09-2020 Through 09-09-2020",

}

RIS

TY - GEN

T1 - The influence of unmeasured occupancy disturbances on the performance of black-box thermal building models

AU - Rævdal Lund Christensen, Louise

AU - Hauge Broholt, Thea

AU - Dahl Knudsen, Michael

AU - Elbæk Hedegaard, Rasmus

AU - Petersen, Steffen

PY - 2020/6

Y1 - 2020/6

N2 - Previous studies have identified a significant potential in using economic model predictive control for space heating. This type of control requires a thermodynamic model of the controlled building that maps certain controllable inputs (heat power) and measured disturbances (ambient temperature and solar irradiation) to the controlled output variable (room temperature). Occupancy related disturbances, such as people heat gains and venting through windows, are often completely ignored or assumed to be fully known (measured) in these studies. However, this assumption is usually not fulfilled in practice and the current simulation study investigated the consequences thereof. The results indicate that the predictive performance (root mean square errors) of a black-box state-space model is not significantly affected by ignoring people heat gains. On the other hand, the predictive performance was significantly improved by including window opening status as a model input. The performance of black-box models for MPC of space heating could therefore benefit from having inputs from sensors that tracks window opening.

AB - Previous studies have identified a significant potential in using economic model predictive control for space heating. This type of control requires a thermodynamic model of the controlled building that maps certain controllable inputs (heat power) and measured disturbances (ambient temperature and solar irradiation) to the controlled output variable (room temperature). Occupancy related disturbances, such as people heat gains and venting through windows, are often completely ignored or assumed to be fully known (measured) in these studies. However, this assumption is usually not fulfilled in practice and the current simulation study investigated the consequences thereof. The results indicate that the predictive performance (root mean square errors) of a black-box state-space model is not significantly affected by ignoring people heat gains. On the other hand, the predictive performance was significantly improved by including window opening status as a model input. The performance of black-box models for MPC of space heating could therefore benefit from having inputs from sensors that tracks window opening.

UR - http://www.scopus.com/inward/record.url?scp=85088420895&partnerID=8YFLogxK

U2 - 10.1051/e3sconf/202017202010

DO - 10.1051/e3sconf/202017202010

M3 - Conference article

AN - SCOPUS:85088420895

VL - 172

JO - E3S Web of Conferences

JF - E3S Web of Conferences

SN - 2267-1242

M1 - 02010

T2 - 12th Nordic Symposium on Building Physics, NSB 2020

Y2 - 6 September 2020 through 9 September 2020

ER -