Climate-based daylight analysis of fixed shading devices in an open-plan office

Abstract

Office buildings consume large amounts of energy and are responsible for large amounts of greenhouse gas emissions worldwide. Among building energy efficiency measures, solar shading plays a significant role in reducing building energy consumption for cooling. This study analysed the influence of solar protection on daylighting of an open-plan office. Climate-based daylight modelling was used to predict such metrics as daylight factor, daylight autonomy and useful daylight illuminances. The results obtained showed that overhangs, and horizontal and vertical louvres have similar behaviours and sidefins have no relevance to indoor daylight conditions. In all cases, it has been proven that excessive obstruction may yield an excessive reduction in a range of illuminances between 500 and 2000 lux, increasing lighting energy consumption.

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References

European Commission. Directive 2010/31/EU on Energy Performance of Buildings, Brussels: EC, 2010.

Lim

Y-W

Ahmad

Ossena

. Internal shading for efficient tropical daylighting in Malaysian contemporary high-rise open plan office. Indoor and Built Environment 2013; 22: 932–937.

Ministerio de

Industria

Turismo y

Comercio

. Plan de Acción 2008-2012 de la Estrategia de Ahorro y Eficiencia Energética en España, Madrid: MITC, 2007.

Bellia

De Falco

Minichiello

. Effects of solar shading devices on energy requirements of standalone office buildings for Italian climates. Applied Thermal Engineering 2013; 54: 190–201.

Aldawoud

. Conventional fixed shading devices in comparison to an electrochromic glazing system in hot, dry climate. Energy and Buildings 2013; 59: 104–110.

Yao

. An investigation into the impact of movable solar shades on energy, indoor thermal and visual comfort improvements. Building and Environment 2014; 71: 24–32.

O'Brien

Kapsis

Athienitis

. Manually-operated window shade patterns in office buildings: A critical review. Building and Environment 2013; 60: 319–338.

Tzempelikos

Athienitis

. The impact of shading design and control on building cooling and lighting demand. Solar Energy 2007; 91: 369–382.

van den Wymelenberg

. Patterns of occupant interaction with window blinds: A literature review. Energy and Buildings 2012; 51: 165–176.

10.

Kim

D-W

Park

C-S

. Comparative control strategies of exterior and interior blind systems. Lighting Research and Technology 2012; 44: 291–308.

11.

Kim

J-H

Park

Y-J

Yeo

M-S

Kim

K-W

. An experimental study on the environmental performance of the automated blind in summer. Building and Environment 2009; 44: 1517–1527.

12.

Jian

. An investigation into the impact of movable solar shades on energy, indoor thermal and visual comfort improvements. Building and Environment 2012; 71: 24–32.

13.

Zhang

Barrett

. Factors influencing occupants' blind-control behaviour in a naturally ventilated office building. Building and Environment 2012; 54: 137–147.

14.

Reinhart

. Lightswitch-2002: A model for manual and automated control of electric lighting and blinds. Solar Energy 2004; 71: 15–28.

15.

Bodart

De Herde

. Global energy savings in office buildings by the use of daylighting. Energy and Buildings 2002; 34: 421–429.

16.

Datta

. Effect of fixed horizontal louver shading devices on thermal performance of building by TRNSYS simulation. Renewable Energy 2001; 23: 497–507.

17.

Claros

Soler

. Indoor daylight influence of light-shelf and model reflectance on light-shelf performance in Madrid for hours with unit sunshine fraction. Building and Environment 2002; 37: 587–598.

18.

Mandalaki

Zervas

Tsoutsos

Vazakas

. Assessment of fixed shading devices with integrated PV for efficient energy use. Solar Energy 2012; 86: 2561–2575.

19.

Al-Tamimi

Fadzil

SFS

. The potential of shading devices for temperature reduction in high-rise residential buildings in the tropics. Procedia Engineering 2011; 21: 273–282.

20.

American Society of Heating. Refrigerating and Air Conditioning Engineers. ASHRAE Handbook Fundamentals, 5th. Atlanta: ASHRAE, 2005.

21.

Leslie

. Capturing the daylight dividend in buildings: why and how? Building and Environment 2003; 38: 381–385.

22.

Ali

AAM

Ahmed

TMF

. Evaluating the impact of shading devices on the indoor thermal comfort of residential buildings in Egypt: Proceedings of the Fifth National Conference of IBPSA-USA. Simbuild2012. Madison, Wisconsin, USA, Aug 1–3: 2012: 603–612.

23.

David

Donn

Garde

Lenoir

. Assessment of the thermal and visual efficiency of solar shades. Building and Environment 2011; 46: 1489–1496.

24.

Alzoubi

Al-Zoubi

. Assessment of building facade performance in terms of daylighting and the associated energy consumption in architectural spaces: Vertical and horizontal shades devices for southern exposure facades. Energy Conversion and Management 2010; 51: 1592–1599.

25.

Leon

Dominguez

Campano

Ramirez-Balas

. Reducing the energy demand of multi-dwelling units in a Mediterranean climate using solar protection elements. Energies 2012; 5: 3398–3424.

26.

Reinhart

Mardaljevic

Rogers

. Dynamic daylight performance metrics for sustainable building design. Leukos 2006; 3: 1–25.

27.

Reinhart

. Tutorial on the use of daysim simulations for sustainable design. Retrieved 10 September 2010, from http://daysim.com/pub/Daysim3.0.Tutorial.pdf.

28.

Reinhart

Walkenhorst

. Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds. Energy and Buildings 2001; 33: 683–697.

29.

Kleindienst

Bodart

Andersen

. Graphical representation of climate-based daylight performance to support architectural design. Leukos 2008; 5: 39–61.

30.

Nabil

Mardaljevic

. Useful daylight illuminances: A replacement for daylight factors. Energy and Buildings 2006; 38: 905–913.

31.

Andersen

Mardaljevic

Lockley

. A framework for predicting the non-visual effects of daylight - Part I: Photobiology-based model. Lighting Research and Technology 2012; 44: 37–53.

32.

Reinhart

Wienold

. The daylighting dashboard-A simulation - based design analysis for daylit spaces. Building and Environment 2011; 46: 386–396.

33.

Mardaljevic

Andersen

Roy

Christoffersen

. Daylighting metrics: Is there a relation between useful daylight illuminance and daylight glare probability? Proceedings of the 2012 Building Simulation and Optimization Conference. Loughborough, UK, Sept 10–11: 2012: 189–196.

34.

Asociación Española de Normalización y Certificación. EN 12464-1: Lighting of Workplaces: Indoor Workplaces, Madrid: AENC, 2001.