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3. Concluding Remarks and Future Outlook

Author

Marín-Restrepo, Laura, Pulido-Arcas, Jesús, Pérez-Fargallo, Alexis, Marín-Restrepo, Laura, editor, Pérez-Fargallo, Alexis, editor, Piderit-Moreno, María Beatriz, editor, Trebilcock-Kelly, Maureen, editor, and Wegertseder-Martínez, Paulina, editor

Published
2023
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20. Evaluating assumptions of scales for subjective assessment of thermal environments – Do laypersons perceive them the way, we researchers believe?

Author

Schweiker, Marcel, André, Maíra, Al-Atrash, Farah, Al-Khatri, Hanan, Alprianti, Rea Risky, Alsaad, Hayder, Amin, Rucha, Ampatzi, Eleni, Arsano, Alpha Yacob, Azar, Elie, Bannazadeh, Bahareh, Batagarawa, Amina, Becker, Susanne, Buonocore, Carolina, Cao, Bin, Choi, Joon-Ho, Chun, Chungyoon, Daanen, Hein, Damiati, Siti Aisyah, Daniel, Lyrian, De Vecchi, Renata, Dhaka, Shivraj, Domínguez-Amarillo, Samuel, Dudkiewicz, Edyta, Edappilly, Lakshmi Prabha, Fernández-Agüera, Jesica, Folkerts, Mireille, Frijns, Arjan, Gaona, Gabriel, Garg, Vishal, Gauthier, Stephanie, Jabbari, Shahla Ghaffari, Harimi, Djamila, Hellwig, Runa T, Huebner, Gesche M, Jin, Quan, Jowkar, Mina, Kim, Jungsoo, King, Nelson, Kingma, Boris, Koerniawan, M Donny, Kolarik, Jakub, Kumar, Shailendra, Kwok, Alison, Lamberts, Roberto, Laska, Marta, Lee, MC Jeffrey, Lee, Yoonhee, Lindermayr, Vanessa, Mahaki, Mohammadbagher, Marcel-Okafor, Udochukwu, Marín-Restrepo, Laura, Marquardsen, Anna, Martellotta, Francesco, Mathur, Jyotirmay, Mino-Rodriguez, Isabel, Montazami, Azadeh, Mou, Di, Moujalled, Bassam, Nakajima, Mia, Ng, Edward, Okafor, Marcellinus, Olweny, Mark, Ouyang, Wanlu, de Abreu, Ana Lígia Papst, Pérez-Fargallo, Alexis, Rajapaksha, Indrika, Ramos, Greici, Rashid, Saif, Reinhart, Christoph F, Rivera, Ma Isabel, Salmanzadeh, Mazyar, Schakib-Ekbatan, Karin, Schiavon, Stefano, Shooshtarian, Salman, Shukuya, Masanori, Soebarto, Veronica, Suhendri, Suhendri, Tahsildoost, Mohammad, Tartarini, Federico, Teli, Despoina, Tewari, Priyam, Thapa, Samar, Trebilcock, Maureen, Trojan, Jörg, Tukur, Ruqayyatu B, Voelker, Conrad, Yam, Yeung, Yang, Liu, Zapata-Lancaster, Gabriela, Zhai, Yongchao, Zhu, Yingxin, and Zomorodian, ZahraSadat

Subjects
Thermal comfort, Thermal sensation, Thermal acceptance, Field study, Scales, Post-Occupancy-Evaluation: Climatic zone, Season, Language, Adaptation, Diversity, Engineering, Built Environment and Design, Building & Construction
Abstract

People's subjective response to any thermal environment is commonly investigated by using rating scales describing the degree of thermal sensation, comfort, and acceptability. Subsequent analyses of results collected in this way rely on the assumption that specific distances between verbal anchors placed on the scale exist and that relationships between verbal anchors from different dimensions that are assessed (e.g. thermal sensation and comfort) do not change. Another inherent assumption is that such scales are independent of the context in which they are used (climate zone, season, etc.). Despite their use worldwide, there is indication that contextual differences influence the way the scales are perceived and therefore question the reliability of the scales’ interpretation. To address this issue, a large international collaborative questionnaire study was conducted in 26 countries, using 21 different languages, which led to a dataset of 8225 questionnaires. Results, analysed by means of robust statistical techniques, revealed that only a subset of the responses are in accordance with the mentioned assumptions. Significant differences appeared between groups of participants in their perception of the scales, both in relation to distances of the anchors and relationships between scales. It was also found that respondents’ interpretations of scales changed with contextual factors, such as climate, season, and language. These findings highlight the need to carefully consider context-dependent factors in interpreting and reporting results from thermal comfort studies or post-occupancy evaluations, as well as to revisit the use of rating scales and the analysis methods used in thermal comfort studies to improve their reliability.

Published
2020

21. Publisher Correction: The Scales Project, a cross-national dataset on the interpretation of thermal perception scales.

Author

Schweiker, Marcel, Abdul-Zahra, Amar, André, Maíra, Al-Atrash, Farah, Al-Khatri, Hanan, Alprianti, Rea, Alsaad, Hayder, Amin, Rucha, Ampatzi, Eleni, Arsano, Alpha, Azadeh, Montazami, Azar, Elie, Bahareh, Bannazadeh, Batagarawa, Amina, Becker, Susanne, Buonocore, Carolina, Cao, Bin, Choi, Joon-Ho, Chun, Chungyoon, Daanen, Hein, Damiati, Siti, Daniel, Lyrian, Vecchi, Renata, Dhaka, Shivraj, Domínguez-Amarillo, Samuel, Dudkiewicz, Edyta, Edappilly, Lakshmi, Fernández-Agüera, Jesica, Folkerts, Mireille, Frijns, Arjan, Gaona, Gabriel, Garg, Vishal, Gauthier, Stephanie, Jabbari, Shahla, Harimi, Djamila, Hellwig, Runa, Huebner, Gesche, Jin, Quan, Jowkar, Mina, Kania, Renate, Kim, Jungsoo, King, Nelson, Kingma, Boris, Koerniawan, M, Kolarik, Jakub, Kumar, Shailendra, Kwok, Alison, Lamberts, Roberto, Laska, Marta, Lee, M, Lee, Yoonhee, Lindermayr, Vanessa, Mahaki, Mohammadbagher, Marcel-Okafor, Udochukwu, Marín-Restrepo, Laura, Marquardsen, Anna, Martellotta, Francesco, Mathur, Jyotirmay, McGill, Gráinne, Mino-Rodriguez, Isabel, Mou, Di, Moujalled, Bassam, Nakajima, Mia, Ng, Edward, Okafor, Marcellinus, Olweny, Mark, Ouyang, Wanlu, Papst de Abreu, Ana, Pérez-Fargallo, Alexis, Rajapaksha, Indrika, Ramos, Greici, Rashid, Saif, Reinhart, Christoph, Rivera, Ma, Salmanzadeh, Mazyar, Schakib-Ekbatan, Karin, Schiavon, Stefano, Shooshtarian, Salman, Shukuya, Masanori, Soebarto, Veronica, Tahsildoost, Mohammad, Tartarini, Federico, Teli, Despoina, Tewari, Priyam, Thapa, Samar, Trebilcock, Maureen, Trojan, Jörg, Tukur, Ruqayyatu, Voelker, Conrad, Yam, Yeung, Yang, Liu, Zapata-Lancaster, Gabriela, Zhai, Yongchao, Zhu, Yingxin, and Zomorodian, Zahra

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020

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

Author

Schweiker, Marcel, Abdul-Zahra, Amar, André, Maíra, Al-Atrash, Farah, Al-Khatri, Hanan, Alprianti, Rea, Alsaad, Hayder, Amin, Rucha, Ampatzi, Eleni, Arsano, Alpha, Azadeh, Montazami, Azar, Elie, Bahareh, Bannazadeh, Batagarawa, Amina, Becker, Susanne, Buonocore, Carolina, Cao, Bin, Choi, Joon-Ho, Chun, Chungyoon, Daanen, Hein, Damiati, Siti, Daniel, Lyrian, Vecchi, Renata, Dhaka, Shivraj, Domínguez-Amarillo, Samuel, Dudkiewicz, Edyta, Edappilly, Lakshmi, Fernández-Agüera, Jesica, Folkerts, Mireille, Frijns, Arjan, Gaona, Gabriel, Garg, Vishal, Gauthier, Stephanie, Jabbari, Shahla, Harimi, Djamila, Hellwig, Runa, Huebner, Gesche, Jin, Quan, Jowkar, Mina, Kania, Renate, Kim, Jungsoo, King, Nelson, Kingma, Boris, Koerniawan, M, Kolarik, Jakub, Kumar, Shailendra, Kwok, Alison, Lamberts, Roberto, Laska, Marta, Lee, M, Lee, Yoonhee, Lindermayr, Vanessa, Mahaki, Mohammadbagher, Marcel-Okafor, Udochukwu, Marín-Restrepo, Laura, Marquardsen, Anna, Martellotta, Francesco, Mathur, Jyotirmay, McGill, Gráinne, Mino-Rodriguez, Isabel, Mou, Di, Moujalled, Bassam, Nakajima, Mia, Ng, Edward, Okafor, Marcellinus, Olweny, Mark, Ouyang, Wanlu, Papst de Abreu, Ana, Pérez-Fargallo, Alexis, Rajapaksha, Indrika, Ramos, Greici, Rashid, Saif, Reinhart, Christoph, Rivera, Ma, Salmanzadeh, Mazyar, Schakib-Ekbatan, Karin, Schiavon, Stefano, Shooshtarian, Salman, Shukuya, Masanori, Soebarto, Veronica, Tahsildoost, Mohammad, Tartarini, Federico, Teli, Despoina, Tewari, Priyam, Thapa, Samar, Trebilcock, Maureen, Trojan, Jörg, Tukur, Ruqayyatu, Voelker, Conrad, Yam, Yeung, Yang, Liu, Zapata-Lancaster, Gabriela, Zhai, Yongchao, Zhu, Yingxin, and Zomorodian, Zahra

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.

Published
2019

27. Introduction

Author

Rubio-Bellido, Carlos, Pérez-Fargallo, Alexis, Pulido-Arcas, Jesús, Rubio-Bellido, Carlos, Pérez-Fargallo, Alexis, and Pulido-Arcas, Jesús

Published
2018
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28. Research Method

Author

Rubio-Bellido, Carlos, Pérez-Fargallo, Alexis, Pulido-Arcas, Jesús, Rubio-Bellido, Carlos, Pérez-Fargallo, Alexis, and Pulido-Arcas, Jesús

Published
2018
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29. Artificial Neural Networks

Author

Rubio-Bellido, Carlos, Pérez-Fargallo, Alexis, Pulido-Arcas, Jesús, Rubio-Bellido, Carlos, Pérez-Fargallo, Alexis, and Pulido-Arcas, Jesús

Published
2018
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30. Multiple Linear Regressions

Author

Rubio-Bellido, Carlos, Pérez-Fargallo, Alexis, Pulido-Arcas, Jesús, Rubio-Bellido, Carlos, Pérez-Fargallo, Alexis, and Pulido-Arcas, Jesús

Published
2018
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31. Energy Demand Analysis

Author

Rubio-Bellido, Carlos, Pérez-Fargallo, Alexis, Pulido-Arcas, Jesús, Rubio-Bellido, Carlos, Pérez-Fargallo, Alexis, and Pulido-Arcas, Jesús

Published
2018
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36. Editorial

Author

Trebilcock-Kelly, Maureen, primary and Pérez-Fargallo, Alexis, additional

Published
2023
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41. Surrogate model of adaptive thermal comfort of a social housing in the Dominican Republic micro-climates: a predictive approach toward sustainable buildings.

Author

Cetina-Quiñones, A. J., Bassam, A., Quintal-Palomo, Roberto Eduardo, and Pérez-Fargallo, Alexis

Subjects
THERMAL comfort, ARTIFICIAL neural networks, SUSTAINABLE buildings, NATURAL ventilation, MARINE west coast climate
Abstract

Adaptive thermal comfort is essential for guaranteeing the well-being of building occupants. Therefore, this study emphasizes its importance and applies advanced computational techniques as a surrogate model and sensitivity analysis for an in-depth analysis of a social housing in the Dominican Republic evaluated under five micro-climates. The methodology includes a computational design with an energetic simulation. An adaptive model was developed following the ASHRAE-55 standard, and an artificial neural network was trained to predict comfort temperature. The results showed that Neiba city, corresponding to a hot semi-arid climate, presented the maximum hours of discomfort (8463), representing 96.6% of the total annual hours with a cooling degree day of 157.5, whereas Constanza city, corresponding to the oceanic climate, reported 2025 hours of discomfort (23.1%) and a cooling degree day of 48. The surrogate model based on artificial neural networks achieved a coefficient of determination of 0.9998, and the sensitivity analysis revealed a more significant influence of radiant temperature (55.96%) over comfort temperature. Finally, this study highlights the significance of adaptive thermal comfort in building design and the potential of surrogate models for energy analysis. Therefore, it is necessary to implement passive strategies to enhance indoor thermal comfort in a sustainable building sector. [ABSTRACT FROM AUTHOR]

Published
2024
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47. Origen, evolución y aplicación de indicadores de pobreza energética en Iberoamérica.

Author

Pérez-Fargallo, Alexis, Cerda-Fuentes, Valeska, Delgado-Gutiérrez, Evelyn, and Alí Porras-Salazar, José

Subjects
*POVERTY, *RESEARCH personnel, *ENERGY policy, *CATALOGING, *CATALOGS
Abstract

Energy Poverty (EP) is a multifaceted concept with local connotations and adverse effects. However, most reviews have focused on definitions and methodological approaches given the growing interest in conceptualizing and measuring. This research aims to study and describe the evolution and origin of EP indicators in Ibero-American countries, given the similarity of their climatic, cultural, and socioeconomic characteristics. A review was made using the SALSA (Search, Appraisal, Synthesis, and Analysis) analytical framework, finding 61 articles, 150 assessments, and 49 indicators and cataloging them considering their evolution, initial (n = 7), expansion (n = 12), and multidimensional (n = 30) stages. The results show a rise in studies in the last five years, particularly in Spain. Most measurements have been used continuously, and often come from the United Kingdom. It is possible to infer that the researchers prefer simple indicators developed in other realities, due to a lack of information or difficulty obtaining it. This delays the implementation or evaluation of local energy policies and, consequently, an in-depth study of the Ibero-American realities is needed to address this issue. [ABSTRACT FROM AUTHOR]

Published
2023
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