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The Scales Project, a cross-national dataset on the interpretation of thermal perception scales

  • Marcel Schweiker
  • , Amar Abdul-Zahra
  • , Maíra André
  • , Farah Al-Atrash
  • , Hanan Al-Khatri
  • , Rea Risky Alprianti
  • , Hayder Alsaad
  • , Rucha Amin
  • , Eleni Ampatzi
  • , Alpha Yacob Arsano
  • , Montazami Azadeh
  • , Elie Azar
  • , Bannazadeh Bahareh
  • , Amina Batagarawa
  • , Susanne Becker
  • , Carolina Buonocore
  • , Bin Cao
  • , Joon Ho Choi
  • , Chungyoon Chun
  • , Hein Daanen
  • Siti Aisyah Damiati, Lyrian Daniel, Renata De Vecchi, Shivraj Dhaka, Samuel Domínguez-Amarillo, Edyta Dudkiewicz, Lakshmi Prabha Edappilly, Jesica Fernández-Agüera, Mireille Folkerts, Arjan Frijns, Gabriel Gaona, Vishal Garg, Stephanie Gauthier, Shahla Ghaffari Jabbari, Djamila Harimi, Runa T. Hellwig, Gesche M. Huebner, Quan Jin, Mina Jowkar, Renate Kania, Jungsoo Kim, Nelson King, Boris Kingma, M. Donny Koerniawan, Jakub Kolarik, Shailendra Kumar, Alison Kwok, Roberto Lamberts, Marta Laska, M. C.Jeffrey Lee, Yoonhee Lee, Vanessa Lindermayr, Mohammadbagher Mahaki, Udochukwu Marcel-Okafor, Laura Marín-Restrepo, Anna Marquardsen, Francesco Martellotta, Jyotirmay Mathur, Gráinne McGill, Isabel Mino-Rodriguez, Di Mou, Bassam Moujalled, Mia Nakajima, Edward Ng, Marcellinus Okafor, Mark Olweny, Wanlu Ouyang, Ana Ligia Papst de Abreu, Alexis Pérez-Fargallo, Indrika Rajapaksha, Greici Ramos, Saif Rashid, Christoph F. Reinhart, Ma Isabel Rivera, Mazyar Salmanzadeh, Karin Schakib-Ekbatan, Stefano Schiavon, Salman Shooshtarian, Masanori Shukuya, Veronica Soebarto, Suhendri, Mohammad Tahsildoost, Federico Tartarini, Despoina Teli, Priyam Tewari, Samar Thapa, Maureen Trebilcock, Jörg Trojan, Ruqayyatu B. Tukur, Conrad Voelker, Yeung Yam, Liu Yang, Gabriela Zapata-Lancaster, Yongchao Zhai, Yingxin Zhu, Zahra Sadat Zomorodian
    • Karlsruhe Institute of Technology
    • Heidelberg Academy of Sciences and Humanities
    • University of Technology
    • Federal University of Santa Catarina
    • German Jordanian University
    • Sultan Qaboos University
    • Institute of Technology Bandung
    • Bauhaus-Universität Weimar
    • University of Southampton
    • Cardiff University
    • Massachusetts Institute of Technology
    • Khalifa University
    • University of Tehran
    • Ahmadu Bello University
    • University of Heidelberg
    • Tsinghua University
    • University of Southern California
    • Yonsei University
    • VU University Amsterdam
    • University of Adelaide
    • Indian Green Building Council (IGBC)
    • University of Seville
    • Wrocław University of Science and Technology
    • Indian Institute of Technology Madras
    • Technische Universiteit Eindhoven
    • Universidad de Cuenca
    • International Institute of Information Technology Hyderabad
    • Tabriz Islamic Art University
    • Universiti Malaysia Sabah
    • Aalborg University
    • Augsburg University of Applied Sciences
    • University College London
    • Chalmers University of Technology
    • University of Sydney
    • University of Copenhagen
    • Technical University of Denmark
    • Malaviya National Institute of Technology
    • University of Oregon
    • National Taichung University of Science and Technology
    • Shahid Bahonar University of Kerman
    • Federal Polytechnic, Nekede
    • University of Bío-Bío
    • University Koblenz-Landau
    • Politecnico di Bari
    • Glasgow School of Art
    • Cerema
    • University of California, Berkeley
    • Chinese University of Hong Kong
    • Imo State University
    • Uganda Martyrs University
    • Federal Institute of Santa Catarina
    • University of Moratuwa
    • University of Kaiserslautern
    • Universidad de Concepción
    • Royal Melbourne Institute of Technology
    • Tokyo City University
    • Shahid Beheshti University
    • University of Wollongong
    • Salesian College
    • Akademie für angewandte Bewegungswissenschaften gGmbH
    • Xi'an University of Architecture and Technology
    • The Netherlands Organisation for Applied Sciences

    Research output: Contribution to journalArticlepeer-review

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    Abstract

    Thermal discomfort is one of the main triggers for occupants’ interactions with components of the built environment such as adjustments of thermostats and/or opening windows and strongly related to the energy use in buildings. Understanding causes for thermal (dis-)comfort is crucial for design and operation of any type of building. The assessment of human thermal perception through rating scales, for example in post-occupancy studies, has been applied for several decades; however, long-existing assumptions related to these rating scales had been questioned by several researchers. The aim of this study was to gain deeper knowledge on contextual influences on the interpretation of thermal perception scales and their verbal anchors by survey participants. A questionnaire was designed and consequently applied in 21 language versions. These surveys were conducted in 57 cities in 30 countries resulting in a dataset containing responses from 8225 participants. The database offers potential for further analysis in the areas of building design and operation, psycho-physical relationships between human perception and the built environment, and linguistic analyses.

    Original languageEnglish
    Article number289
    Number of pages10
    JournalScientific data
    Volume6
    Issue number1
    DOIs
    Publication statusPublished - 26 Nov 2019

    Bibliographical note

    This article is licensed under a Creative Commons Attribution 4.0 International
    License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

    Funding

    This project was conducted under the framework of IEA EBC Annex 69. M.Sch., S.B., and K.S-E. acknowledge funding by the Heidelberg Academy of Sciences and Humanities within the project “Thermal comfort and pain”. M.Sch. is thankful to Prof. F. Nicol to share the information on participation via NCEUB, Prof. A. Wagner, Prof. G. Vrachliotis, and Dr. M. Krause from Karlsruhe Institute of Technology for their support in distributing questionnaires. A.A.-Z. would like to thank all the students from University of Technology-Iraq/Mechanical Engineering Department, who participated by providing answers to the questionnaire. F.A.-A. and the research related to Jordan was supported by M.Sch. H.A.-K. is thankful to Dalal Al-Khatri, Noor Alhuda Al-Saqri, and Maryam Al-Bartamani for their contribution in distributing the questionnaires. E.Am. is thankful to Eleni Alexandrou of the National Technical University of Athens for her contribution in distributing the questionnaires. B.C. is thankful to the National Natural Science Foundation of China (No. 51521005 and No. 51678330). C.C. is thankful to National Research Foundation of Korea (No. NRF-2017R1A2B4012122) J-H.C. would like to express gratitude to the USC students who volunteered for the data collection, and a special thanks to Ms. Zhihe Wang, who provided a technical assistance to compile the acquired dataset. S.D.-A. is thankful for the funding support of the TEP-130 R&D group from the US. L.P.E.would like to thank IITM, India for the support and DAAD for the scholarship. G.G. is thankful to Andrés Chico, Freddy Ordoñez, Jesús López (Escuela Politécnica Nacional – EPN), Ricardo Narváez (Universidad Central del Ecuador), Guillermo Soriano (Escuela Superior Politécnica del Litoral - ESPOL), Daniel Quiroz (Universidad Regional Amazónica Ikiam) and Stalin Guamán (Universidad Regional Amazónica Ikiam). S.G. would like to thank the Sustainable Energy Research Group (energy.soton.ac.uk) for supporting this work. D.H. is thankful to all the students from Universiti Malaysia Sabah who participated in the present field study. She is also very grateful to all the lecturers who contributed directly and indirectly in the present study. R.T.H. would like to thank Prof Mahena Stief, Dr. Julia Sonnberger, Stefan Keller, Prof Markus Reppich and Prof Michael Krupp and all HSA students involved for their support. G.M.H. was supported by Research Councils UK (RCUK) Centre for Energy Epidemiology (EP/K011839/1) and UK Research and Innovation through the Centre for Research into Energy Demand Solutions, grant reference number EP/R 035288/1. Q.J. acknowledges the funding by Chalmers Energy Area of Advance and is thankful to Jan-Olof Dalenbäck, Holger Wallbaum, Björn Gross, and Ulrike Rahe. B.K. is thankful for Heatshield, under EU Horizon 2020 grant agreement No 668786 and the Ministerie van Defensie (SOLAR V1605). J.Ko. would like to thank Prof. Jørn Toftum for help with translation of the survey questionnaire A.K. is appreciative of the volunteer work of Yi-Cheng Lei, Eugene Leung, Bentley Rager, Rachel Rimmer, and Kelly Schoenborn. M.C.J.L. would thank for MOST Taiwan and NTCUST to support the funding and measure instruments. I.M-R. is thankful to Andrés Chico, Freddy Ordoñez, Jesús López (Escuela Politécnica Nacional – EPN), Ricardo Narváez (Universidad Central del Ecuador), Guillermo Soriano (Escuela Superior Politécnica del Litoral – ESPOL), Daniel Quiroz (Universidad Regional Amazónica Ikiam) and Stalin Guamán (Universidad Regional Amazónica Ikiam). I.R. is thankful to first year Architecture students of University of Moratuwa who volunteered for the data collection. M.Ok. would want to thank all the students from Imo State University, Owerri and Federal Polytechnic, Nekede who participated by providing answers to the questionnaire. M.Ol. would like to thank Tadeo Nedala and Menelik Tibikabire who helped administer the questionnaires. W.O. would like to thank Prof Bruce Lonnman for his support and all CUHK students involved. The study is supported by General Research Fund, Research Grant Council, Hong Kong (Project code: 14629516) and Vice-Chancellor’s One-off Discretionary Fund of the Chinese University of Hong Kong. A.L.P.A. would like to thank the Civil Engineering students of IFSC who volunteered for the data collection. M.I.R. is appreciative of the volunteer work of Yi-Cheng Lei, Eugene Leung, Bentley Rager, Rachel Rimmer, and Kelly Schoenborn. V.S.‘s involvement in the project was partially funded through the Special Study Program provided by The Faculty of Professions, University of Adelaide. D.T. would like to thank Vinnova (Sweden’s Innovation Agency) and her colleagues at the Division of Building Services Engineering for their support.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

    ASJC Scopus subject areas

    • Statistics and Probability
    • Information Systems
    • Education
    • Computer Science Applications
    • Statistics, Probability and Uncertainty
    • Library and Information Sciences

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