Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management

被引:23
作者
Acosta, Ignacio [1 ]
Angel Campano, Miguel [1 ]
Dominguez-Amarillo, Samuel [1 ]
Munoz, Carmen [2 ]
机构
[1] Univ Seville, Inst Univ Arquitectura & Ciencias Construcc, Seville 41004, Spain
[2] Univ Malaga, Dept Construcc Arquitecton, Malaga 29016, Spain
关键词
daylight autonomy; window design; energy saving; smart control; ENERGY SAVINGS; CONTROL-SYSTEMS; BUILDINGS; PERFORMANCE; COMFORT; DESIGN; VALIDATION; ACCURACY; LOCATION;
D O I
10.3390/en11113143
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Daylight performance metrics provide a promising approach for the design and optimization of lighting strategies in buildings and their management. Smart controls for electric lighting can reduce power consumption and promote visual comfort using different control strategies, based on affordable technologies and low building impact. The aim of this research is to assess the energy efficiency of these smart controls by means of dynamic daylight performance metrics, to determine suitable solutions based on the geometry of the architecture and the weather conditions. The analysis considers different room dimensions, with variable window size and two mean surface reflectance values. DaySim 3.1 lighting software provides the simulations for the study, determining the necessary quantification of dynamic metrics to evaluate the usefulness of the proposed smart controls and their impact on energy efficiency. The validation of dynamic metrics is carried out by monitoring a mesh of illuminance-meters in test cells throughout one year. The results showed that, for most rooms more than 3.00 m deep, smart controls achieve worthwhile energy savings and a low payback period, regardless of weather conditions and for worst-case situations. It is also concluded that dimming systems provide a higher net present value and allow the use of smaller window size than other control solutions.
引用
收藏
页数:27
相关论文
共 52 条
[31]  
Mardaljevic J., 1995, Lighting Research and Technology, V27, P181
[32]   Daylight metrics and energy savings [J].
Mardaljevic, J. ;
Heschong, L. ;
Lee, E. .
LIGHTING RESEARCH & TECHNOLOGY, 2009, 41 (03) :261-283
[33]   Climate-based daylighting analysis for the effects of location, orientation and obstruction [J].
Munoz, C. M. ;
Esquivias, P. M. ;
Moreno, D. ;
Acosta, Ignacio ;
Navarro, J. .
LIGHTING RESEARCH & TECHNOLOGY, 2014, 46 (03) :268-280
[34]   Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort [J].
Ochoa, Carlos E. ;
Aries, Myriam B. C. ;
van Loenen, Evert J. ;
Hensen, Jan L. M. .
APPLIED ENERGY, 2012, 95 :238-245
[35]   ALL-WEATHER MODEL FOR SKY LUMINANCE DISTRIBUTION - PRELIMINARY CONFIGURATION AND VALIDATION [J].
PEREZ, R ;
SEALS, R ;
MICHALSKY, J .
SOLAR ENERGY, 1993, 50 (03) :235-245
[36]   Sustainability assessment of energy saving measures: A multi-criteria approach for residential buildings retrofitting-A case study of the Spanish housing stock [J].
Pombo, Olatz ;
Allacker, Karen ;
Rivela, Beatriz ;
Neila, Javier .
ENERGY AND BUILDINGS, 2016, 116 :384-394
[37]   Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds [J].
Reinhart, CF ;
Walkenhorst, O .
ENERGY AND BUILDINGS, 2001, 33 (07) :683-697
[38]   Experimental Validation of Autodesk® 3ds Max® Design 2009 and Daysim 3.0 [J].
Reinhart, Christoph ;
Breton, Pierre-Felix .
LEUKOS, 2009, 6 (01) :7-35
[39]   Dynamic daylight performance metrics for sustainable building design [J].
Reinhart, Christoph F. ;
Mardaljevic, John ;
Rogers, Zack .
LEUKOS, 2006, 3 (1-4) :7-31
[40]   Lighting energy savings in offices using different control systems and their real consumption [J].
Roisin, B. ;
Bodart, M. ;
Deneyer, A. ;
D'Herdt, P. .
ENERGY AND BUILDINGS, 2008, 40 (04) :514-523