Maíra André

Universidade Federal de Santa Catarina

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Roberto Lamberts

Universidade Federal de Santa Catarina

Carolina Buonocore

Universidade Federal de Santa Catarina

Renata De Vecchi

Universidade Federal de Santa Catarina

Yingxin Zhu

Capital Medical University

Mina Jowkar

Edinburgh Napier University

Jakub Kolařík

Technical University of Denmark

Francesco Martellotta

Polytechnic University of Bari

Vanessa Lindermayr

Technische Hochschule Augsburg

Gabriel Gaona

Universidad Regional Amazónica IKIAM

Lyrian Daniel

Australian Housing and Urban Research Institute

Cooperative Institutions

University of Koblenz and Landau

Federal Polytechnic Nekede

Universität Koblenz

University of Bío-Bío

Malaviya National Institute of Technology Jaipur

Technical University of Denmark

University of Sydney

Universidade Federal de Santa Catarina

Yonsei University

Karlsruhe Institute of Technology

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

Energy and Buildings (2020)

Marcel Schweiker Maíra André Farah Al‐Atrash Hanan Al-Khatri Rea Risky Alprianti

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.

Thermal sensation

10.1016/j.enbuild.2020.109761

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Citations (93)

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

Scientific Data (2019)

Marcel Schweiker Amar Abdul-Zahra Maíra André Farah Al‐Atrash Hanan Al-Khatri

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.

Thermostat

Occupancy

10.1038/s41597-019-0272-6

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Citations (34)

A repository of occupant-centric control case studies: Survey development and database overview

Energy and Buildings (2023)

Clara-Larissa Lorenz Maíra André Oliver Abele Burak Gunay Jakob Hahn

Implementation

Bridge (graph theory)

10.1016/j.enbuild.2023.113649

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Citations (8)

Perspectives of building simulation in Brazil: Brazilian building simulation market landscape and the applicability of ASHRAE standard 209

Building Simulation Conference proceedings (2021)

Alberto Hernandez Neto Juliana Pellegrini Lemos Trigo Mônica Pereira Marcondes Cavaleri Ana Paula de Almeida Rocha Maíra André

Conventional integrated shading and lighting systems are usually sensor-dependent, which could entail excessive cost and labor associated with sensor installation, calibration, and maintenance. Advanced systems use daylight modeling to eliminate the use of physical sensors. However, real-time daylight simulation can be computation-heavy, leading to a slow response of the system. This paper proposed a data-driven method for integrated shading and lighting control, employing machine learning models developed from pre-simulated data to predict real-time daylighting and control the blind and lighting accordingly. Verification using climatebased daylight simulation with a case study showed that the method prevented 94.7% of annual glare and reduced lighting use by 64%. The study will contribute to the development of effective daylight-linked control systems for industrial applications.

Daylight

ASHRAE 90.1

Daylighting

GLARE

Shading

10.26868/25222708.2021.30562

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Exploring the Brazilian Thermal Comfort Database: an overview on the main contributions

Carolina Buonocore Maíra André G Quesada Ramos Renata De Vecchi Christhina Cândido

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Citations (2)