Development of the ASHRAE Global Thermal Comfort Database II

Veronika Földváry Ličina, Toby Cheung, Hui Zhang, Richard de Dear, Thomas Parkinson, Edward Arens, Chungyoon Chun, Stefano Schiavon, Maohui Luo, Gail Brager, Peixian Li, Soazig Kaam, Michael A. Adebamowo, Mary Myla Andamon, Francesco Babich, Chiheb Bouden, Hana Bukovianska, Christhina Candido, Bin Cao, Salvatore CarlucciDavid K.W. Cheong, Joon Ho Choi, Malcolm Cook, Paul Cropper, Max Deuble, Shahin Heidari, Madhavi Indraganti, Quan Jin, Hyojin Kim, Jungsoo Kim, Kyle Konis, Manoj K. Singh, Alison Kwok, Roberto Lamberts, Dennis Loveday, Jared Langevin, Sanyogita Manu, Cornelia Moosmann, Fergus Nicol, Ryozo Ooka, Nigel A. Oseland, Lorenzo Pagliano, Dušan Petráš, Rajan Rawal, Ramona Romero, Hom Bahadur Rijal, Chandra Sekhar, Marcel Schweiker, Federico Tartarini, Shin ichi Tanabe, Kwok Wai Tham, Despoina Teli, Jorn Toftum, Linda Toledo, Kazuyo Tsuzuki, Renata De Vecchi, Andreas Wagner, Zhaojun Wang, Holger Wallbaum, Lynda Webb, Liu Yang, Yingxin Zhu, Yongchao Zhai, Yufeng Zhang, Xiang Zhou

Research output: Contribution to journalArticlepeer-review

222 Citations (Scopus)

Abstract

Recognizing the value of open-source research databases in advancing the art and science of HVAC, in 2014 the ASHRAE Global Thermal Comfort Database II project was launched under the leadership of University of California at Berkeley's Center for the Built Environment and The University of Sydney's Indoor Environmental Quality (IEQ) Laboratory. The exercise began with a systematic collection and harmonization of raw data from the last two decades of thermal comfort field studies around the world. The ASHRAE Global Thermal Comfort Database II (Comfort Database), now an online, open-source database, includes approximately 81,846 complete sets of objective indoor climatic observations with accompanying “right-here-right-now” subjective evaluations by the building occupants who were exposed to them. The database is intended to support diverse inquiries about thermal comfort in field settings. A simple web-based interface to the database enables filtering on multiple criteria, including building typology, occupancy type, subjects' demographic variables, subjective thermal comfort states, indoor thermal environmental criteria, calculated comfort indices, environmental control criteria and outdoor meteorological information. Furthermore, a web-based interactive thermal comfort visualization tool has been developed that allows end-users to quickly and interactively explore the data.

Original languageEnglish
Pages (from-to)502-512
Number of pages11
JournalBuilding and Environment
Volume142
DOIs
Publication statusPublished - 2018 Sept

Bibliographical note

Funding Information:
The study was supported by the American Society of Heating, Refrigerating and Air-Conditioning Engineers grant (URP 1656), 2016–2017 ASHRAE Graduate Grant-In-Aid for Veronika Földváry Ličina, British Council and UK Government under the Global Innovation Initiative project scheme, Korea National Science Foundation and the Center for the Built Environment, University of California Berkeley. Additional support was provided by the Republic of Singapore's National Research Foundation through a grant to the Berkeley Education Alliance for Research in Singapore (BEARS) for the Singapore-Berkeley Building Efficiency and Sustainability in the Tropics (SinBerBEST) Program. The project was performed within the framework of the International Energy Agency Energy in Buildings and Communities programme (IEA-EBC) Annex 69 ″Strategy and Practice of Adaptive Thermal Comfort in Low Energy Buildings.” The authors also thank Michael Humphreys for his continuous scientific support, Margaret Pigman for her work programing the first version of the database visualization tool; and students, Tina Lee (UC Berkeley), Youngjoo Son (Yonsei University), Sijie Liu and Xiuyuan Du (The University of Sydney), for helping to organize and format the database; and Tyler Hoyt (UC Berkeley) for the initial suggestion to build the Comfort Database.

Funding Information:
The study was supported by the American Society of Heating, Refrigerating and Air-Conditioning Engineers grant ( URP 1656 ), 2016–2017 ASHRAE Graduate Grant-In-Aid for Veronika Földváry Ličina, British Council and UK Government under the Global Innovation Initiative project scheme, Korea National Science Foundation and the Center for the Built Environment, University of California Berkeley . Additional support was provided by the Republic of Singapore's National Research Foundation through a grant to the Berkeley Education Alliance for Research in Singapore (BEARS) for the Singapore-Berkeley Building Efficiency and Sustainability in the Tropics (SinBerBEST) Program. The project was performed within the framework of the International Energy Agency Energy in Buildings and Communities programme (IEA-EBC) Annex 69 ″ Strategy and Practice of Adaptive Thermal Comfort in Low Energy Buildings. ” The authors also thank Michael Humphreys for his continuous scientific support, Margaret Pigman for her work programing the first version of the database visualization tool; and students, Tina Lee ( UC Berkeley ), Youngjoo Son ( Yonsei University ), Sijie Liu and Xiuyuan Du ( The University of Sydney ), for helping to organize and format the database; and Tyler Hoyt ( UC Berkeley ) for the initial suggestion to build the Comfort Database.

Publisher Copyright:
© 2018 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Building and Construction

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