Sensor selection and control strategy development support for automated solar shading systems using building performance simulation

Samuel B. de Vries; Roel C.G.M. Loonen; Jan L.M. Hensen

Sensor selection and control strategy development support for automated solar shading systems using building performance simulation

Samuel B. de Vries, Roel C.G.M. Loonen, Jan L.M. Hensen

Building Performance

Research output: Contribution to conference › Paper › Academic

72 Downloads (Pure)

Abstract

This study presents a method for supporting control strategy development and sensor selection for automated solar shading systems from a building physics perspective using building performance simulation (BPS) and gives recommendations for quality assurance in making modelling decisions. With the proposed method high performance sensor strategies (sensor type, its location and actuation thresholds) can be identified using only a limited number of simulations. The method is illustrated using sensor selection for a sun-tracking control strategy for indoor roller blinds as a case study. It is concluded that the daylighting and energy performance of such a strategy can significantly be improved through the application of this method.

Original language	English
Number of pages	8
Publication status	Published - 2 Sept 2019
Event	Building Simulation 2019: 16th Conference of IBPSA (BS2019) - largo Angelicum, 1 – 00184 Rome, Rome , Italy Duration: 2 Sept 2019 → 4 Sept 2019 http://buildingsimulation2019.org/

Conference

Conference	Building Simulation 2019: 16th Conference of IBPSA (BS2019)
Abbreviated title	BS 2019
Country/Territory	Italy
City	Rome
Period	2/09/19 → 4/09/19
Internet address	http://buildingsimulation2019.org/

Keywords

solar shading
Control optimization
Sensor selection
Visual comfort
Daylighting
Energy effciency
Building envelope

Access to Document

19_bs_vriesFinal published version, 5.14 MBLicence: Unspecified

http://www.ibpsa.org/proceedings/BS2019/BS2019_210228.pdfLicence: Unspecified

1 Phd Thesis 1 (Research TU/e / Graduation TU/e)

A computational framework for analysis and optimisation of automated solar shading systems: Within high performance building facades
de Vries, S. B., 16 Feb 2022, Eindhoven: Eindhoven University of Technology. 294 p.
Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)

Open Access
File

Cite this

@conference{b75a28e33e6542fdab193116297df09a,

title = "Sensor selection and control strategy development support for automated solar shading systems using building performance simulation",

abstract = "This study presents a method for supporting control strategy development and sensor selection for automated solar shading systems from a building physics perspective using building performance simulation (BPS) and gives recommendations for quality assurance in making modelling decisions. With the proposed method high performance sensor strategies (sensor type, its location and actuation thresholds) can be identified using only a limited number of simulations. The method is illustrated using sensor selection for a sun-tracking control strategy for indoor roller blinds as a case study. It is concluded that the daylighting and energy performance of such a strategy can significantly be improved through the application of this method.",

keywords = "solar shading, Control optimization, Sensor selection, Visual comfort, Daylighting, Energy effciency, Building envelope",

author = "{de Vries}, {Samuel B.} and Loonen, {Roel C.G.M.} and Hensen, {Jan L.M.}",

year = "2019",

month = sep,

day = "2",

language = "English",

note = "Building Simulation 2019: 16th Conference of IBPSA (BS2019), BS 2019 ; Conference date: 02-09-2019 Through 04-09-2019",

url = "http://buildingsimulation2019.org/",

}

TY - CONF

T1 - Sensor selection and control strategy development support for automated solar shading systems using building performance simulation

AU - de Vries, Samuel B.

AU - Loonen, Roel C.G.M.

AU - Hensen, Jan L.M.

PY - 2019/9/2

Y1 - 2019/9/2

N2 - This study presents a method for supporting control strategy development and sensor selection for automated solar shading systems from a building physics perspective using building performance simulation (BPS) and gives recommendations for quality assurance in making modelling decisions. With the proposed method high performance sensor strategies (sensor type, its location and actuation thresholds) can be identified using only a limited number of simulations. The method is illustrated using sensor selection for a sun-tracking control strategy for indoor roller blinds as a case study. It is concluded that the daylighting and energy performance of such a strategy can significantly be improved through the application of this method.

AB - This study presents a method for supporting control strategy development and sensor selection for automated solar shading systems from a building physics perspective using building performance simulation (BPS) and gives recommendations for quality assurance in making modelling decisions. With the proposed method high performance sensor strategies (sensor type, its location and actuation thresholds) can be identified using only a limited number of simulations. The method is illustrated using sensor selection for a sun-tracking control strategy for indoor roller blinds as a case study. It is concluded that the daylighting and energy performance of such a strategy can significantly be improved through the application of this method.

KW - solar shading

KW - Control optimization

KW - Sensor selection

KW - Visual comfort

KW - Daylighting

KW - Energy effciency

KW - Building envelope

M3 - Paper

T2 - Building Simulation 2019: 16th Conference of IBPSA (BS2019)

Y2 - 2 September 2019 through 4 September 2019

ER -

Sensor selection and control strategy development support for automated solar shading systems using building performance simulation

Abstract

Conference

Keywords

Access to Document

Fingerprint

Research output

A computational framework for analysis and optimisation of automated solar shading systems: Within high performance building facades

Cite this