Comparative control strategies for roller shades with respect to daylighting and energy performance

Abstract Traditionally, automated shading operation includes open-closed strategies trying to maintain a comfortable environment while controlling glare and solar gains. Four different dynamic shading control strategies with constant and variable set points were developed and studied in this paper using year-round transient integrated thermal and lighting simulation, to investigate their impact on outdoor view, daylighting metrics, thermal loads and energy consumption as well as on excessive illuminance that can cause visual discomfort in private offices. The strategies and generic and can be applied to any location, orientation and climate if appropriate set points are selected. The results showed that: (i) shades remain open for a significant portion of working hours depending on orientation and weather conditions (ii) controlling shades based on solar radiation as suggested in previous studies might not be an effective method; instead, illuminance thresholds are probably more appropriate (iii) the third control strategy leads to reduced source energy consumption and maximized daylight utilization; however, careful consideration of interior illuminances is needed to avoid the risk of glare; (iv) differences in annual source energy consumption between control strategies range from 10.1% to 34.4% depending on glazing and shading properties and (v) different strategies should be used in different orientations. Validation of results with full-scale experiments is presented for representative cases. The interactions and integration between daylighting benefits and thermal requirements need to be studied through the interplay between lighting energy use, solar and internal heat gains, while considering comfort parameters that vary depending on the shading control strategy used.

[1]  Eero Vartiainen Electricity benefits of daylighting and photovoltaics for various solar facade layouts in office buildings , 2001 .

[2]  Vítor Leal,et al.  Influence of shading control patterns on the energy assessment of office spaces , 2012 .

[3]  Christoph F. Reinhart,et al.  Lightswitch-2002: a model for manual and automated control of electric lighting and blinds , 2004 .

[4]  Martin Vraa Nielsen,et al.  Quantifying the potential of automated dynamic solar shading in office buildings through integrated simulations of energy and daylight , 2011 .

[5]  Geoffrey Van Moeseke,et al.  Impact of control rules on the efficiency of shading devices and free cooling for office buildings , 2007 .

[6]  Jan Wienold,et al.  DYNAMIC SIMULATION OF BLIND CONTROL STRATEGIES FOR VISUAL COMFORT AND ENERGY BALANCE ANALYSIS , 2007 .

[7]  Refrigerating ASHRAE handbook of fundamentals , 1967 .

[8]  Athanasios Tzempelikos,et al.  Daylighting and energy analysis of private offices with automated interior roller shades , 2012 .

[9]  Marie-Claude Dubois,et al.  Shading devices and daylight quality: an evaluation based on simple performance indicators , 2003 .

[10]  G. R. Newsham Manual Control of Window Blinds and Electric Lighting: Implications for Comfort and Energy Consumption , 1994 .

[11]  J. Michalsky,et al.  Modeling daylight availability and irradiance components from direct and global irradiance , 1990 .

[12]  Stephen Selkowitz,et al.  The design and evaluation of integrated envelope and lighting control strategies for commercial buildings , 1995 .

[13]  Sandra Mende,et al.  CLIMATE BASED SIMULATION OF DIFFERENT SHADING DEVICE SYSTEMS FOR COMFORT AND ENERGY DEMAND , 2011 .

[14]  Paul J. Littlefair Predicting annual lighting use in daylit buildings , 1990 .

[15]  Tadj Oreszczyn,et al.  Occupant control of passive systems: the use of Venetian blinds , 2001 .

[16]  A. Athienitis,et al.  The impact of shading design and control on building cooling and lighting demand , 2007 .

[17]  Armando C. Oliveira,et al.  Effect of louver shading devices on building energy requirements , 2010 .

[18]  John Mardaljevic,et al.  Useful daylight illuminances: A replacement for daylight factors , 2006 .

[19]  Wolfgang Graf,et al.  Switchable glazing with a large dynamic range in total solar energy transmittance (TSET) , 1998 .

[20]  Alfonso Capozzoli,et al.  USE of the ANOVA approach for sensitive building energy design , 2010 .