Automatic vs Manual Control Strategy for Window Blinds and Ceiling Lights: Consequences to Perceived Visual and Thermal Discomfort

A case study to evaluate the occupants' satisfaction in relation to two different control strategies (fully automatic and manual) for blind and ceiling lights use in cell offices was carried on in Trondheim, Norway. A group of 11 participants with varying age, gender, and ethnicity, used two test cells of a laboratory as a workspace primarily carrying out office tasks at a personal computer for a total of 19 calendar days. The participants were asked to answer a computer-based questionnaire for reporting their perceived thermal and visual comfort. Concurrently, measurements of the indoor operative temperature, illuminance level, and operation of windows, blinds, and ceiling lights were registered. Results shows that the use of the automatic control strategy led to a higher visual discomfort, which in addition led to a higher thermal discomfort, despite this last not caused by a higher average operative temperature. © 2019 The Author(s). Published by solarlits.com. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

[1]  Per Heiselberg,et al.  Occupant satisfaction with two blind control strategies: Slats closed and slats in cut-off position , 2015 .

[2]  Christina Bodin Danielsson,et al.  Difference in satisfaction with office environment among employees in different office types , 2006 .

[3]  Christoph F. Reinhart,et al.  Monitoring manual control of electric lighting and blinds , 2003 .

[4]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[5]  H. Burak Gunay,et al.  Mitigating office performance uncertainty of occupant use of window blinds and lighting using robust design , 2015 .

[6]  Ardeshir Mahdavi.  Patterns and Implications of User Control Actions in Buildings , 2009 .

[7]  F. Nicol,et al.  Using field measurements of desktop illuminance in european offices to investigate its dependence on outdoor conditions and its effect on occupant satisfaction, and the use of lights and blinds , 2006 .

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

[9]  Magali Bodart,et al.  Global energy savings in offices buildings by the use of daylighting , 2002 .

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

[11]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[12]  Peter Boyce,et al.  Review: The Impact of Light in Buildings on Human Health , 2010 .

[13]  Arno Schlueter,et al.  Occupant centered lighting control: A user study on balancing comfort, acceptance, and energy consumption , 2016 .

[14]  Birgit Dagrun Risholt,et al.  Solar Shading in Low Energy Office Buildings - Design Strategy and User Perception , 2017 .

[15]  John Mardaljevic,et al.  Useful daylight illuminance: a new paradigm for assessing daylight in buildings , 2005 .

[16]  Anca D. Galasiu,et al.  Occupant preferences and satisfaction with the luminous environment and control systems in daylit offices: a literature review , 2006 .

[17]  M S. Rea,et al.  Window blind occlusion: a pilot study , 1984 .

[18]  Helena Bülow-Hübe,et al.  Office Worker Preferences of Exterior Shading Devices: A Pilot Study , 2000 .

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

[20]  A. F.,et al.  Light , 1889, Nature.

[21]  Jennifer A. Veitch,et al.  Investigating and influencing how buildings affect health: Interdisciplinary endeavours. , 2008 .

[22]  Yuehong Su,et al.  Daylight availability assessment and its potential energy saving estimation –A literature review , 2015 .

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

[24]  S. Pigg,et al.  Behavioral Aspects of Lighting and Occupancy Sensors in Private Offices : A Case Study of a University Office Building , 1996 .

[25]  Arild Gustavsen,et al.  The ZEB Test Cell Laboratory. A facility for characterization of building envelope systems under real outdoor conditions , 2017 .

[26]  Vorpat Inkarojrit,et al.  Balancing comfort: occupants' control of window blinds in private offices , 2005 .

[27]  Dimitris Theodossopoulos,et al.  Energy and comfort in contemporary open plan and traditional personal offices , 2017 .

[28]  Kang Soo Kim,et al.  The influence of shading control strategies on the visual comfort and energy demand of office buildings , 2014 .

[29]  Andreas K. Athienitis,et al.  Manually-operated window shade patterns in office buildings: A critical review , 2013 .

[30]  Vishal Garg,et al.  A review of open loop control strategies for shades, blinds and integrated lighting by use of real-time daylight prediction methods , 2018 .

[31]  L. Roche,et al.  Occupant reactions to daylight in offices , 2000 .

[32]  Darren Robinson,et al.  A comprehensive stochastic model of blind usage: Theory and validation , 2009 .

[33]  Janny C. Stapel,et al.  Exploring the Impact of Natural Light Exposure on Sleep of Healthy Older Adults: A Field Study , 2018 .

[34]  Darren Robinson,et al.  Adaptive actions on shading devices in response to local visual stimuli , 2010 .

[35]  Iason Konstantzos,et al.  Occupant interactions with shading and lighting systems using different control interfaces: A pilot field study , 2016 .

[36]  Kevin Van Den Wymelenberg,et al.  Understanding Controls, Behaviors and Satisfaction in the Daylit perimeter office: A Daylight Design Case Study , 2012 .

[37]  Belinda L Collins,et al.  Window blinds as a potential energy saver: a case study. Building science series (final). [Effects of building orientation] , 1978 .