Daylighting and energy analysis of private offices with automated interior roller shades

Solar Energy

Volumn 86, Issue 2, 2012, Pages 681-704

  Shen, Hui ^a   Tzempelikos, Athanasios ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

Building simulation; Daylighting; Dynamic fa ades; Energy; Energy consumption; Roller shades

Indexed keywords

BUILDING SIMULATION; CHICAGO; COMPLEX INTERACTION; COMPREHENSIVE ANALYSIS; DAYLIGHTING BENEFITS; DESIGN PARAMETERS; DIMMING CONTROL; ENERGY; ENERGY ANALYSIS; ENERGY PERFORMANCE; ENERGY REQUIREMENTS; FABRIC PROPERTIES; FINITE DIFFERENCE; LOS ANGELES; OFFICE SPACE; OPERATIVE TEMPERATURE; ROLLER SHADES; SOLAR GAIN; SURFACE TEMPERATURES; THERMAL MODULES; THERMAL NETWORK; THERMAL SIMULATIONS; TIME STEP; TOTAL ENERGY CONSUMPTION; USEFUL DAYLIGHT ILLUMINANCE; VISIBLE TRANSMITTANCE; WINDOW SIZE; WINDOW-TO-WALL RATIO;

CLIMATE CONTROL; COMPUTER SIMULATION; ENERGY UTILIZATION; GLAZES; OFFICE BUILDINGS; ROLLERS (MACHINE COMPONENTS); SOLAR ENERGY; WALLS (STRUCTURAL PARTITIONS);

DAYLIGHTING;

ARCHITECTURAL DESIGN; AUTOMATION; COOLING; ENERGY EFFICIENCY; FUEL CONSUMPTION; GLASS; HEATING; LIGHTNING; NUMERICAL MODEL; RENEWABLE RESOURCE; SHADING; SOLAR POWER; SOLAR RADIATION; TRANSMITTANCE; WORKPLACE;

CALIFORNIA; CHICAGO; ILLINOIS; LOS ANGELES [CALIFORNIA]; UNITED STATES;

EID: 84855814331     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2011.11.016     Document Type: Article

References (63)

1. ASHRAE, 2004. ASHRAE Standard 55: Thermal Environmental Conditions for Human Occupancy. Atlanta: American Society of Heating, Refrigeration and Air-Conditioning Engineers, Inc.
2. ASHRAE, 2009. ASHRAE Handbook-Fundamentals. Atlanta: American Society of Heating, Refrigeration and Air-Conditioning Engineers, Inc.
3. Athienitis A.K., Santamouris M. Thermal Analysis and Design of Passive Solar Buildings 2002, James and James, London.
4. Athienitis A.K., Tzempelikos A. A methodology for simulation of daylight room illuminance distribution and light dimming for a room with a controlled shading device. Solar Energy 2002, 72(4):271-281.
5. Bessoudo M., Tzempelikos A., Athienitis A.K., Zmeureanu R. Indoor thermal environmental conditions near glazed facades with shading devices - part I: experiments and building thermal model. Building and Environment 2010, 45:2506-2516.
6. Bodart M., De Herde A. Global energy savings in office buildings by the use of daylighting. Energy and Buildings 2002, 34:412-429.
7. Carrol, W.L., 1999. Daylighting simulation: methods, algorithms, and resources. Report of IEA SHC Task21/ECBCS ANNEX 29 and Lawrence Berkeley National Laboratory Report LBNL-44296.
8. Citherlet S., Clarke J.A., Hand J. Integration in building physics simulation. Energy and Buildings 2001, 33:451-461.
9. Clarke J.A., Janak M., Ruyssevelt P. Assessing the overall performance of advanced glazing systems. Solar Energy 1998, 63(4):231-241.
10. Colaco S.G., Curian C.P., George V.I., Colaco A.M. Prospective techniques of effective daylight harvesting in commercial buildings by employing window glazing, dynamic shading devices and dimming control - a literature review. Building Simulation - an International Journal 2008, 1(4):279-289.
11. Dubois M.C., Blomsterberg A. Energy saving potential and strategies for electric lighting in future North European, low energy office buildings: A literature review. Energy and Buildings 2011, 43:2572-2582.
12. Duffie J.A., Bechmann W.A. Solar Engineering of Thermal Processes 1991, John Wiley & Sons, New York. second ed.
13. Ehlert J.R., Smith T.F. View factors for perpendicular and parallel, rectangular plates. Journal of Thermophysics and Heat Transfer 1993, 7(1):173-174.
14. EnergyPlus, 2007. Engineering Document: the Reference to EnergyPlus calculations. US Department of Energy.
15. Fakra A.H., Miranville F., Boyer H., Guichard S. Development of a new model to predict indoor daylighting: integration in CODYRUN software and validation. Energy Conversion and Management 2011, 52:2724-2734.
16. Franzetti C., Fraisse G., Achard G. Influence of the coupling between daylight and artificial lighting on thermal loads in office buildings. Energy and Buildings 2004, 36:117-126.
17. Gagne J.M., Andersen M., Norford L.K. An interactive expert system for daylighting design exploration. Building and Environment 2011, 46(11):2351-2364.
18. Georg A., Graf W., Schweiger D., Wittwer V., Nitz P., Rose Wilson H. Switchable glazing with a large dynamic range in total solar energy transmittance (TSET). Solar Energy 1997, 62(3):215-228.
19. Ghisi E., Tinker J.A. An ideal window area concept for energy efficient integration of daylight and artificial light in buildings. Building and Environment 2005, 40:51-61.
20. Goral C., Torrance K., Greenberg D., Battaile B. Modeling the interaction of light between diffuse surfaces. Computer Graphics 1984, 18(13):213-222.
21. Hellstrom B., Kvist H., Hakansson H., Bulow-Hube B. Description of ParaSol v3.0 and comparison with measurements. Energy and Buildings 2007, 39:279-283.
22. Hitchcock, R.J., Mitchell, R., Yazdanian, M., Lee, E., Huigenza, C., 2008. COMFEN - A commercial fenestration/façade design tool. In: Proceedings of SimBuild 2008, Berkeley, California, pp. 246-252.
23. Hviid C.A., Nielsen T.R., Svendsen S. Simple tool to evaluate the impact of daylight on building energy consumption. Solar Energy 2008, 82(9):787-798.
24. International Organization for Standardization. 2003. ISO 15099-2003. Thermal Performance of Windows, Doors, and Shading Devices - Detailed Calculations.
25. Kim C.S., Chung S.J. Daylighting simulation as an architectural design process in museums installed with toplights. Building and Environment 2011, 46:210-222.
26. Kim K., Kim B.S., Park S. Analysis of design approaches to improve the comfort level of a small glazed-envelope building during summer. Solar Energy 2007, 81(1):39-51.
27. Lee E., Selkowitz S.E. The design and evaluation of integrated envelope and lighting control strategies for commercial buildings. ASHRAE Transactions 1995, 101(1):326-342.
28. Loutzenhiser P.G., Maxwell G.M., Manz H. An empirical validation of the daylighting algorithms and associated interactions in building energy simulation programs using various shading devices and windows. Energy 2007, 32(10):1855-1870.
29. Mardaljevic J. The BRE-IDMP dataset: a new benchmark for the validation of illuminance prediction techniques. Lighting Research and Technology 2001, 33(2):117-136.
30. Moeseke G., Bruyere I., Herde A.D. Impact of control rules on the efficiency of shading devices and free cooling for office buildings. Building and Environment 2007, 42:784-793.
31. Murdoch J. Illuminating engineering: from Edison's lamp to the LED. second ed 2003, Visions Communications, New York, USA.
32. Nabil A., Mardaljevic J. Useful daylight illuminances: a replacement for daylight factors. Energy and Buildings 2006, 38:905-913.
33. Nabil A., Mardaljevic J. Useful daylight illuminances: a new paradigm for assessing daylight in buildings. Lighting Research and Technology 2005, 37(1):41-57.
34. Newsham G.R. Manual control of window blinds and electric lighting: implications for comfort and energy consumption. Indoor Environment 1994, 3:135-144.
35. Nielsen M.V., Svendsen S., Jensen L.B. Quantifying the potential of automated dynamic solar shading in office buildings through integrated simulations of energy and daylight. Solar Energy 2011, 85(5):757-768.
36. Nielsen T.R. Simple tool to evaluate energy demand and indoor environment in the early stages of building design. Solar Energy 2005, 78(2005):73-83.
37. NREL. 2008. TMY3 data in US Cities: http://rredc.nrel.gov/.
38. Ochoa C.E., Capeluto I.G. Advice tool for early design stages of intelligent facades based on energy and visual comfort approach. Energy and Buildings 2009, 41(5):480-488.
39. Palmero-Marrero A.I., Oliveira A.C. Effect of louver shading devices on building energy requirements. Applied Energy 2010, 87(6):2040-2049.
40. Perez R., Ineichen P., Seals R. Modeling daylight availability and irradiance components from direct and global irradiance. Solar Energy 1990, 44(5):271-289.
41. Petersen S., Svendsen S. Method and simulation program informed decisions in the early stages of building design. Energy and Buildings 2010, 42(7):1113-1119.
42. Reinhart, C.F., 2010. Daysim Version 3.0 http://www.daysim.com.
43. Reinhart C.F., Walkenhorst O. Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds. Energy and Buildings 2001, 33:683-697.
44. Reinhart, C.F., 2002. The annual daylight availability in peripheral offices in Canada -a simulation study. Report #44-B3213-L for the National Research Council of Canada.
45. Reinhart C.F., Wienold J. The daylighting dashboard-a simulation-based design analysis for daylit spaces. Building and Environment 2011, 46:386-396.
46. Reinhart C.F., Mardaljevic J., Rogers Z. Dynamic daylight performance metrics for sustainable building design. LEUKOS 2006, 3(1):1-25.
47. Reinhart C.F. Lightswitch-2002: a model for manual and automated control of electric lighting and blinds. Solar Energy 2004, 77(2004):15-28.
48. Reinhart, C.F., Jones, C., 2004. Electric lighting energy savings for an on/off photocell control-a comparative simulation study using DOE 2.1 and DAYSIM. In: Proceedings of eSim2004 Building Simulation Conference, Vancouver, pp. 183-189.
49. Robinson D., Stone A. Internal illumination prediction based on a simplified radiosity algorithm. Solar Energy 2006, 80:260-267.
50. Rosa A., Ferraro V., Igawa N., Kaliakatsos D., Marinelli V. INLUX: a calculation code for daylight illuminance predictions inside buildings and its experimental validation. Building and Environment 2009, 44:1769-1775.
51. Shen, H., Tzempelikos, A., 2010. A parametric analysis for the impact of facade design options on the daylighting performance of office spaces. In: Proceedings of 1st High Performance Buildings Conference at Purdue, West Lafayette, Indiana, USA.
52. Simmler H., Binder B. Experimental and numerical determination of the total solar energy transmittance of glazing with venetian blind shading. Building and Environment 2008, 43(2):197-204.
53. Tsangrassoulis A., Santamouris M., Asimakopoulos A. Theoretical and experimental analysis of daylight performance for various shading systems. Energy and Buildings 1996, 24:223-230.
54. Tzempelikos A., Athienitis A.K., Nazos A. Integrated design of perimeter zones with glass facades. ASHRAE Transactions 2010, 116(1):461-477.
55. Tzempelikos A., Bessoudo M., Athienitis A.K., Zmeureanu R. Indoor thermal environmental conditions near glazed facades with shading devices - part II: thermal comfort simulation and impact of glazing and shading properties. Building and Environment 2010, 45:2517-2525.
56. Tzempelikos A., Athienitis A.K. The impact of shading design and control on building cooling and lighting demand. Solar Energy 2007, 81(3):369-382.
57. Tzempelikos A., Athienitis A.K. Integrated daylighting and thermal analysis of office buildings. ASHRAE Transactions 2005, 111(1):227-238.
58. United States Energy Information Administration, 2011. Annual Energy Review. Conversion factors http://www.energystar.gov/.
59. Unver R., Ozurk L., Adiguzel S., Celik O. Effect of the façade alternatives on the daylight illuminance in offices. Energy and Buildings 2003, 35:737-746.
60. Urban, B.J., Glicksman, L.R., 2007. A rapid building energy model and interface for non-technical users. In: Proceedings of the 10th ORNL Thermal Performance of the Exterior Envelopes of Whole Buildings International Conference. Clearwater, Florida, USA.
61. Vartiainen E. Electricity benefits of daylighting and photovoltaics for various solar façade layouts in office buildings. Energy and Buildings 2001, 33:113-120.
62. Walkenhorst O., Luther J., Reinhart C.F. Dynamic annual daylight simulations based on one-hour and one-minute means of irradiance data. Solar Energy 2002, 72(5):385-395.
63. Ward G., Shakespeare R. Rendering with RADIANCE: the Art and Science of Lighting Visualization 2003, Space and Light, California, USA.