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Thermal comfort is one of the fundamental aspects of indoor environmental quality and it is strongly related to occupant satisfaction and energy use in buildings. This paper describes a new web application for thermal comfort visualization and calculation according to ASHRAE Standard 55-2013. Compared to existing software, the web application is free, cross-platform, and provides a visual and highly interactive accurate representation of the comfort zone. Its main features are: dynamic visualization of the comfort zone on psychrometric, temperature-relative humidity, and adaptive charts; new implementation of the Elevated Air Speed model; local thermal discomfort assessment; compliance document automation for LEED thermal comfort credits; metabolic activity and clothing insulation tables and dynamic models; and compliance with the standard. The tool can be used by architects, engineers, building operators, educators, and students.


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Web application for thermal comfort visualization and calculation according to ASHRAE Standard 55

Show Author's information Stefano Schiavon( )Tyler HoytAlberto Piccioli
Center for the Built Environment, University of California Berkeley, Berkeley, CA 94720, USA

Abstract

Thermal comfort is one of the fundamental aspects of indoor environmental quality and it is strongly related to occupant satisfaction and energy use in buildings. This paper describes a new web application for thermal comfort visualization and calculation according to ASHRAE Standard 55-2013. Compared to existing software, the web application is free, cross-platform, and provides a visual and highly interactive accurate representation of the comfort zone. Its main features are: dynamic visualization of the comfort zone on psychrometric, temperature-relative humidity, and adaptive charts; new implementation of the Elevated Air Speed model; local thermal discomfort assessment; compliance document automation for LEED thermal comfort credits; metabolic activity and clothing insulation tables and dynamic models; and compliance with the standard. The tool can be used by architects, engineers, building operators, educators, and students.

Keywords: web application, visualization, thermal comfort, adaptive comfort, predictive mean vote/ predicted percentage of dissatisfied (PMV/PPD), psychrometric chart

References(32)

ANSI/ASHRAE (2013). ANSI/ASHRAE 55-2013: Thermal Environmental Conditions for Human Occupancy. Atlanta, USA: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
EA Arens, S Turner, H Zhang, G Paliaga (2009). Moving air for comfort. ASHRAE Journal, 51(5): 18-29.
ASHRAE (2009). ASHRAE 2009 Handbook of Fundamentals. Atlanta, USA: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
M Bostock (2012). d3.js. Available: http://d3js.org/
CEN (2007). EN 15251-2007, Criteria for the Indoor Environment Including Thermal, Indoor Air Quality, Light and Noise. European Committee for Standardization.
RJ de Dear, GS Brager (1998). Developing an adaptive model of thermal comfort and preference. ASHRAE Transaction, 104(1): 145-167.
PO Fanger (1970). Thermal Comfort. Copenhagen: Danish Technical Press.
A Fobelets, AP Gagge (1988). Rationalization of the effective temperature ET* as a measure of the enthalpy of the human environment. ASHRAE Transactions, 94(1): 12-31.
ME Fountain, C Huizenga (1997). A thermal sensation prediction tool for use by the profession. ASHRAE Transactions, 103(2): 130-136.
M Frontczak, S Schiavon, J Goins, EA Arens, H Zhang, P Wargocki (2012). Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design. Indoor Air, 22: 119-131.
AP Gagge, A Fobelets, LG Berglund (1986). A standard predictive index of human response to the thermal environment. ASHRAE Transactions, 92(2): 709-731.
B Givoni (1992). Comfort, climate analysis and building design guidelines. Energy and Buildings, 18: 11-23.
B Givoni (1998). Climate Considerations in Building and Urban Design. New York: Van Nostrand Reinhold.
FC Houghton, CP Yaglou (1923). Determining equal comfort lines. Journal of American Society of Heating and Ventilating Engineers, 29: 165-176.
T Hoyt, KH Lee, H Zhang, EA Arens, T Webster (2009). Energy savings from extended air temperature setpoints and reductions in room air mixing. In: Proceedings of International Conference on Environmental Ergonomics, Boston, USA.
C Huizenga (2010). ASHRAE Thermal Comfort Tool, Version 2. Atlanta, USA: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
ISO (1998). ISO 7726:98, Ergonomics of the Thermal Environment—Instruments for Measuring Physical Quantities. Geneva: International Organization for Standardization.
ISO (2005). ISO 7730:2005, Ergonomics of the Thermal Environment—Analytical Determination and Interpretation of Thermal Comfort Using Calculation of the PMV and PPD Indices and Local Thermal Comfort Criteria. Geneva: International Organization for Standardization.
KH Lee, S Schiavon (2013). Influence of three dynamic predictive clothing insulation models on building energy use, HVAC sizing and thermal comfort. Center for the Built Environment, University of California Berkeley report. Available: http://escholarship.org/uc/item/3sx6n876.
DOI
KJ Lomas, D Fiala, MJ Cook, PC Cropper (2004). Building bioclimatic charts for non-domestic buildings and passive downdraught evaporative cooling. Building and Environment, 39: 661-676.
MJ Mendell, AG Mirer (2009). Indoor thermal factors and symptoms in office workers: Findings from the US EPA BASE study. Indoor Air, 19: 291-302.
M Milne, R Liggett, A Benson, Y Bhattacharya (2009). Climate Consultant 4.0 develops design guidelines for each unique climate. Paper presented at American Solar Energy Society Meeting.
V Olgyay (1963). Design with Climate: A Bioclimatic Approach to Architectural Regionalism. Princeton, USA: Princeton University Press.
S Schiavon, KH Lee (2012). Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures. Building and Environment, 59, 250-260.
S Schiavon, AK Melikov (2008). Energy saving and improved comfort by increased air movement. Energy and Buildings, 40: 1954-1960.
K Steinfeld, S Schiavon, D Moon (2012). Open graphic evaluative frameworks: A climate analysis tool based on an open web-based weather data visualization platform. In: Proceedings of 30th International eCAADe Conference—Digital Physicality/Physical Digitality.
The jQuery Foundation (2013a). jQuery.
The jQuery Foundation (2013b). jQuery UI.
U.S. Department of Energy (2011). Report on the First Quadrennial Technology Review.
U.S. Green Building Council (2007). LEED Reference Guide for New Construction & Major Renovations (LEED-NC), Version 2.2, US Green Building Council.
U.S. Green Building Council (2013). LEED—Leadership in Energy and Environmental Design.
H Zhang, EA Arens, D Kim, E Buchberger, FS Bauman, C Huizenga (2010). Comfort, perceived air quality, and work performance in a low-power task-ambient conditioning system. Building and Environment, 45: 29-39.
Publication history
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Publication history

Received: 17 July 2013
Revised: 27 September 2013
Accepted: 07 November 2013
Published: 27 December 2013
Issue date: August 2014

Copyright

© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2013

Acknowledgements

The authors would like to thank Charlie Huizenga for providing resources regarding code development, Dustin Moon for the development of the visualization of the comfort zones in Processing, Kyle Steinfeld for helping starting this project and guiding us on the visualization strategies, Huang Li, Hui Zhang and Ed Arens for improving the integration of the SET model within the Elevated Air Speed model, and Gail Brager for the review of the draft. This research has been supported by the Center for the Built Environment (CBE), University of California Berkeley (USA), and by a scholarship provided by the School of Engineering, University of Bologna (Italy).

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