Natural light controls and guides in buildings. Energy saving for electrical lighting, reduction of cooling load

The residential sector is responsible for approximately a quarter of energy consumption in Europe. This consumption, together with that of other buildings, mainly from the tertiary sector, makes up 40% of total energy consumption and 36% of CO2 emissions. Artificial lighting makes up 14% of electrical consumption in the European Union and 19% worldwide. Through the use of well-designed natural lighting, controlled by technologies or systems which guarantee accessibility from all areas inside buildings, energy consumption for lighting and air conditioning can be kept to a minimum. The authors of this article carried out a state of the art on the technologies or control systems of natural light in buildings, concentrating on those control methods which not only protect the occupants from direct solar glare but also maximize natural light penetration in buildings based on the occupants׳ preferences, whilst allowing for a reduction in electrical consumption for lighting and cooling. All of the control and/or natural light guidance systems and/or strategies guarantee the penetration of daylight into the building, thus reducing the electrical energy consumption for lighting and cooling. At the same time they improve the thermal and visual comfort of the users of the buildings. However various studies have also brought to light certain disadvantages to these systems.

[1]  Stephen Selkowitz,et al.  Thermal and daylighting performance of an automated venetian blind and lighting system in a full-scale private office , 1998 .

[2]  John L. Wright,et al.  Simplified Solar Optical Calculations For Windows With Venetian Blinds , 2006 .

[3]  Abbas Elmualim,et al.  Mirror lightpipes : Daylighting performance in real buildings , 1998 .

[4]  Olatz Irulegi,et al.  Energy Performance of Buildings , 2016 .

[5]  Anca D. Galasiu,et al.  Impact of window blinds on daylight-linked dimming and automatic on/off lighting controls , 2004 .

[6]  Eric Masanet,et al.  U.S. energy savings potential from dynamic daylighting control glazings , 2013 .

[7]  Magali Bodart,et al.  Lighting energy savings in offices using different control systems and their real consumption , 2008 .

[8]  Rod Janssen,et al.  Towards Energy Efficient Buildings in Europe , 2004 .

[9]  Eric Shen,et al.  Energy and visual comfort analysis of lighting and daylight control strategies , 2014 .

[10]  P. Pfrommer,et al.  Solar radiation transport through slat-type blinds: a new model and its application for thermal simulation of buildings , 1996 .

[11]  Jitka Mohelníková,et al.  Hollow light guide efficiency and illuminance distribution on the light-tube base under overcast and clear sky conditions , 2013 .

[12]  Aleš Krainer,et al.  Fuzzy control system for thermal and visual comfort in building , 2008 .

[13]  Jozef Hraska.  Chronobiological aspects of green buildings daylighting , 2015 .

[14]  L. Heschong.  Daylighting and Human Performance , 2002 .

[15]  Mohammad Yusri Hassan,et al.  A review on lighting control technologies in commercial buildings, their performance and affecting factors , 2014 .

[16]  P. Greenup,et al.  Daylighting in the tropics , 2002 .

[17]  Luis Pérez-Lombard,et al.  A review on buildings energy consumption information , 2008 .

[18]  Marilyne Andersen,et al.  Bi-directional transmission properties of Venetian blinds: experimental assessment compared to ray-tracing calculations , 2005 .

[19]  P. Greenup,et al.  Test room measurements and computer simulations of the micro-light guiding shade daylight redirecting device , 2004 .

[20]  Ahmed A. Freewan.  Maximizing the lightshelf performance by interaction between lightshelf geometries and a curved ceiling , 2010 .

[21]  L Roche.  Summertime performance of an automated lighting and blinds control system , 2002 .

[22]  Khaled A. Al-Sallal.  Testing glare in universal space design studios in Al-Ain, UAE desert climate and proposed improvements , 2007 .

[23]  T. Kusuda,et al.  Daylighting with windows, skylights, and clerestories , 1984 .

[24]  Robert Fuller,et al.  Performance of a daylight guiding system in an office building , 2013 .

[25]  G. N. Tiwari,et al.  A model for estimation of daylight factor for skylight: An experimental validation using pyramid shape skylight over vault roof mud-house in New Delhi (India) , 2009 .

[26]  A. Pullin,et al.  Guidelines for Systematic Review in Conservation and Environmental Management , 2006, Conservation biology : the journal of the Society for Conservation Biology.

[27]  D. L. Critten.  Light enhancement using E-W aligned long prismatic arrays at high latitude , 1988 .

[28]  Jean-Louis Scartezzini,et al.  Design and assessment of an anidolic light-duct , 1998 .

[29]  M. A. Alghoul,et al.  Research and development on aspects of daylighting fundamentals , 2013 .

[30]  M. Santamouris,et al.  A method to estimate the daylight efficiency of round skylights , 2000 .

[31]  David Jenkins,et al.  Modelling light-pipe performances—a natural daylighting solution , 2003 .

[32]  T. Inoue,et al.  The development of an optimal control system for window shading devices based on investigations in office buildings , 1988 .

[33]  Toke Rammer Nielsen,et al.  Simple tool to evaluate the impact of daylight on building energy consumption , 2008 .

[34]  Francis Rubinstein,et al.  Developing a Dynamic Envelope/Lighting Control System with Field Measurements , 1996 .

[35]  R.N.S. Hammad,et al.  Impact of daylight quality on architectural space dynamics , 2012 .

[36]  R. Webb,et al.  A theoretical model for prediction of the heat load in flooded refrigerant evaporators , 1989 .

[37]  Qingyan Chen,et al.  Experimental and Simulation Study on the Performance of Daylighting in an Industrial Building and its Energy Saving Potential , 2014 .

[38]  Surapong Chirarattananon,et al.  Application of automated blind for daylighting in tropical region , 2009 .

[39]  Tilmann E. Kuhn,et al.  Evaluation of overheating protection with sun-shading systems , 2001 .

[40]  Myoung-Souk Yeo,et al.  An experimental study on the environmental performance of the automated blind in summer , 2009 .

[41]  Dirk Saelens,et al.  Assessment of approaches for modeling louver shading devices in building energy simulation programs , 2013 .

[42]  Aris Tsangrassoulis,et al.  Comparison of radiosity and ray-tracing techniques with a practical design procedure for the prediction of daylight levels in atria , 2003 .

[43]  Robert Clear,et al.  Office Worker Response to an Automated Venetian Blind and Electric Lighting System: A Pilot Study , 1998 .

[44]  Juan J. Sendra,et al.  Daylighting design with lightscoop skylights: Towards an optimization of shape under overcast sky conditions , 2013 .

[45]  F. M. Meijer,et al.  Comparing European residential building stocks: performance, renovation and policy opportunities , 2009 .

[46]  Hongxing Yang,et al.  Introducing natural lighting into the enclosed lift lobbies of highrise buildings by remote source lighting system , 2012 .

[47]  H.F.O. Müller.  Application of holographic optical elements in buildings for various purposes like daylighting, solar shading and photovoltaic power generation , 1994 .

[48]  Pilar Oteiza,et al.  Dependence on solar elevation of the performance of a light shelf as a potential daylighting device , 1996 .

[49]  Stephen Wittkopf,et al.  Daylight performance of anidolic ceiling under different sky conditions , 2007 .

[50]  G. Datta.  Effect of fixed horizontal louver shading devices on thermal perfomance of building by TRNSYS simulation , 2001 .

[51]  Tariq Muneer,et al.  Formulation of semi-empirical models for predicting the illuminance of light pipes , 2005 .

[52]  Jean-Louis Scartezzini,et al.  ANIDOLIC DAYLIGHTING SYSTEMS , 2002 .

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

[54]  V. Garcia Hansen,et al.  Passive solar systems for heating, daylighting and ventilation for rooms without an equator-facing facade , 2002 .

[55]  J. C. Wright,et al.  Illuminace in atria: Review of prediction methods , 1998 .

[56]  Stephen Wittkopf,et al.  Prediction of energy savings with anidolic integrated ceiling across different daylight climates , 2006 .

[57]  H.A.L. van Dijk,et al.  Modelling the optical and thermal properties of complex glazing: overview of recent developments , 2001 .

[58]  Athanassios Tzempelikos,et al.  The impact of venetian blind geometry and tilt angle on view, direct light transmission and interior illuminance , 2008 .

[59]  Antoine Guillemin,et al.  An innovative lighting controller integrated in a self-adaptive building control system , 2001 .

[60]  Vítor Leal,et al.  Strategies to control daylight in a responsive skylight system , 2012 .

[61]  S. Chirarattananon,et al.  Daylight availability and models for global and diffuse horizontal illuminance and irradiance for Bangkok , 2002 .

[62]  Surapong Chirarattananon,et al.  Daylighting through light pipes in the tropics , 2000 .

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

[64]  Gilles Fraisse,et al.  Influence of the coupling between daylight and artificial lighting on thermal loads in office buildings , 2004 .

[65]  Jean-Louis Scartezzini,et al.  Performance of Anidolic Daylighting Systems in tropical climates - Parametric studies for identification of main influencing factors , 2010 .

[66]  Stephen Selkowitz,et al.  Integrating automated shading and smart glazings with daylight controls , 2004 .

[67]  David Jenkins,et al.  A design tool for predicting the performances of light pipes , 2005 .

[68]  Stephen Selkowitz,et al.  Advanced fenestration systems for improved daylight performance , 1998 .

[69]  Saffa Riffat,et al.  Optimizing performance of the lightshelf by modifying ceiling geometry in highly luminous climates , 2008 .

[70]  J Breitenbach,et al.  Goniospectrometer measurements of the optical performance of a holographic optical element , 2000 .

[71]  I. G. Capeluto,et al.  Evaluating visual comfort and performance of three natural lighting systems for deep office buildings in highly luminous climates , 2006 .

[72]  John L. Wright,et al.  Methods for Calculating the Effective Longwave Radiative Properties of a Venetian Blind Layer , 2004 .

[73]  Helmut Köster.  Daylighting daylight/daylighting Controls daylight/daylighting controls , Performance and Global Impacts , 2013 .

[74]  K. Sopian,et al.  Daylighting as a passive solar design strategy in tropical buildings: a case study of Malaysia , 2002 .

[75]  Ann R. Webb,et al.  Considerations for lighting in the built environment: Non-visual effects of light , 2006 .

[76]  Alfonso Soler,et al.  Light shelf performance in Madrid, Spain , 1997 .

[77]  Kwang Ho Lee,et al.  Automated control strategies of inside slat-type blind considering visual comfort and building energy performance , 2012 .

[78]  Hans Simmler,et al.  Experimental and numerical determination of the total solar energy transmittance of glazing with venetian blind shading , 2008 .

[79]  Sertaç Görgülü,et al.  Energy saving in lighting system with fuzzy logic controller which uses light-pipe and dimmable ballast , 2013 .

[80]  Myoung Souk Yeo,et al.  Automated blind control to maximize the benefits of daylight in buildings , 2010 .

[81]  W. Lorenz.  A glazing unit for solar control, daylighting and energy conservation , 2001 .

[82]  D. Christoffers,et al.  Seasonal shading of vertical south-facades with prismatic panes , 1996 .

[83]  David Jenkins,et al.  Light-pipe prediction methods , 2004 .

[84]  Jeong Tai Kim,et al.  Overview and new developments in optical daylighting systems for building a healthy indoor environment , 2010 .

[85]  Guy R. Newsham,et al.  Effect of daylight saving time on lighting energy use: A literature review , 2008 .

[86]  E. L. Krüger,et al.  Evaluating daylighting potential and energy efficiency in a classroom building , 2011 .

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

[88]  M Bateson,et al.  Systematic Reviews to Support Evidence-Based Medicine: How to Review and Apply Findings of Healthcare Research. , 2004 .

[89]  Christoph F. Reinhart,et al.  Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds , 2001 .

[90]  Leyla Sanati,et al.  The effect of window shading design on occupant use of blinds and electric lighting , 2013 .

[91]  Athanasios Tzempelikos,et al.  Efficient venetian blind control strategies considering daylight utilization and glare protection , 2013 .

[92]  Peng Xue,et al.  The effects of daylighting and human behavior on luminous comfort in residential buildings: A questionnaire survey , 2014 .

[93]  Hans Dieter Tholl,et al.  Stacked volume holograms as light-directing elements , 1994, Other Conferences.

[94]  Stanislav Darula,et al.  Availability of luminous flux below a bended light-pipe: Design modelling under optimal daylight conditions , 2012 .

[95]  Bassam Abu-Hijleh,et al.  The energy savings potential of using dynamic external louvers in an office building , 2010 .

[96]  Anca D. Galasiu,et al.  Optical model for prismatic glazing (1415-RP) , 2012 .

[97]  Fabio Peron,et al.  Daylight and energy performances of a new type of light pipe , 2004 .

[98]  Kenji Kurata,et al.  Scale-model experiments of applying a Fresnel prism to greenhouse covering , 1991 .

[99]  Daniel Vázquez-Moliní,et al.  Horizontal daylighting system for office buildings , 2013 .

[100]  Athanasios Tzempelikos,et al.  A methodology for simulation of daylight room illuminance distribution and light dimming for a room with a controlled shading device , 2002 .

[101]  M. J. Jiménez,et al.  Energetic analysis of a passive solar design, incorporated in a courtyard after refurbishment, using an innovative cover component based in a sawtooth roof concept , 2005 .

[102]  Patrick James,et al.  Holographic optical elements: various principles for solar control of conservatories and sunrooms , 2005 .

[103]  Danny H.W. Li,et al.  Lighting and energy performance for an office using high frequency dimming controls , 2006 .

[104]  Jean-Louis Scartezzini,et al.  Minimizing lighting power density in office rooms equipped with Anidolic Daylighting Systems , 2010 .

[105]  Kornelis Blok,et al.  Enhanced policies for the improvement of electricity efficiencies , 2005 .

[106]  I. R. Edmonds,et al.  Daylighting enhancement with light pipes coupled to laser-cut light-deflecting panels , 1995 .

[107]  Tilmann E. Kuhn.  Solar control : A general evaluation method for facades with venetian blinds or other solar control systems , 2006 .

[108]  J. Klems,et al.  Solar Heat Gain Coefficient of Complex Fenestrations with a Venetian Blind for Differing Slat Tilt Angles , 1996 .

[109]  J. Bell,et al.  The importance of interior daylight distribution in buildings on overall energy performance , 1999 .

[110]  Joon-Ho Choi,et al.  Impacts of indoor daylight environments on patient average length of stay (ALOS) in a healthcare facility , 2012 .

[111]  Andreas K. Athienitis,et al.  Workplane illuminance prediction method for daylighting control systems , 2003 .

[112]  Danny H.W. Li,et al.  Evaluation of lighting performance in office buildings with daylighting controls , 2001 .

[113]  Karam M. Al-Obaidi,et al.  A study of the impact of environmental loads that penetrate a passive skylight roofing system in Malaysian buildings , 2014 .

[114]  Moncef Krarti,et al.  Estimation of lighting energy savings from daylighting , 2009 .

[115]  I. Edmonds.  Performance of laser cut light deflecting panels in daylighting applications , 1993 .

[116]  Kyung-Hee Lee,et al.  An Experimental Study for the Evaluation of the Environmental Performance by the Application of the Automated Venetian Blind , 2007 .