Accepted Manuscript Thermal comfort in office buildings: Findings from a field study in mixed-mode and fully-air conditioning environments under humid subtropical conditions R. De Vecchi, C. Candido, R. de Dear, R. Lamberts PII:
S0360-1323(17)30328-1
DOI:
10.1016/j.buildenv.2017.07.029
Reference:
BAE 5008
To appear in:
Building and Environment
Received Date: 6 April 2017 Revised Date:
8 July 2017
Accepted Date: 21 July 2017
Please cite this article as: De Vecchi R, Candido C, de Dear R, Lamberts R, Thermal comfort in office buildings: Findings from a field study in mixed-mode and fully-air conditioning environments under humid subtropical conditions, Building and Environment (2017), doi: 10.1016/j.buildenv.2017.07.029. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
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ACCEPTED MANUSCRIPT Thermal comfort in office buildings: findings from a field study in mixed-mode and fully-air conditioning environments under humid subtropical conditions
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De Vecchi, R.a,*, Candido, C.b, de Dear, R.b and Lamberts, R.a
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Department of Civil Engineering, Federal University of Santa Catarina, Brazil.
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Faculty of Architecture, Design and Planning, The University of Sydney, Australia.
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*Corresponding author: Laboratório de Eficiência Energética em Edificações
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(LabEEE), ECV /CTC, Campus Universitário, UFSC, Trindade, Caixa Postal 476,
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Florianópolis-SC, Brazil. Tel.: +55 48 3721 5184.
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E-mail address:
[email protected] (Renata De Vecchi)
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ACCEPTED MANUSCRIPT Thermal comfort in office buildings: findings from a field study in mixed-mode and fully-air conditioning environments under humid subtropical conditions
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De Vecchi, R.a,*, Candido, C.b, de Dear, R.c and Lamberts, R.a
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*Corresponding author. E-mail address:
[email protected] (Renata De Vecchi)
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Abstract
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This paper addresses thermal comfort conditions in office buildings with rudimentary mixedmode environments controlled by occupants compared to fully air-conditioning in a humid subtropical climate in Brazil. Occupants from three office buildings with two different environmental control strategies (two with mixed-mode ventilation and one with permanent airconditioning) assessed their thermal environment via “right-here-right-now‟ online questionnaires, while indoor climatic measurements were simultaneously carried out in situ. 2,688 questionnaires from 617 occupants were collected. The results indicated that airconditioning in mixed-mode (MM) buildings controlled by occupants was used permanently throughout the year without any season pattern, being specially connected to the peak outdoor air temperature. In addition, there was a strong tendency toward thermal discomfort due to excessive cold in MM buildings at times when air-conditioning mode was under operation, and hot discomfort during the naturally ventilated mode. When compared to fully-air conditioning buildings, there were similarities in terms of occupant thermal sensation and acceptability levels within the same intervals of Standard Effective Temperature (SET). The results obtained in this study could be useful as a framework for future studies, as well as a baseline for a Brazilian thermal comfort standard.
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Keywords: thermal comfort; mixed-mode buildings; fully air-conditioning environments; humid
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subtropical climate.
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Department of Civil Engineering, Federal University of Santa Catarina, Brazil. Faculty of Architecture, Design and Planning, The University of Sydney, Australia.
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ACCEPTED MANUSCRIPT 1. Introduction
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There is a common agreement around the world that air-conditioning in buildings
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contributes significantly to energy consumption, and therefore carbon emissions into the
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atmosphere. In Brazil, the use of air-conditioning systems is responsible for
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approximately 50% of office buildings’ electric energy consumption, which is broadly
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consistent with values observed worldwide [1–3]. A trending discussion [4,5] is that
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world populations are becoming more dependent on these energy-intensive indoor
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climates inside buildings [6–9], and one of the main consequences being felt is during
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peak electricity demand episodes, especially during the summer months and heat waves.
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As an example, in Brazil, a significant change in the energy consumption profile over
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the past six years has been observed [10], and the peak demand previously pragmatic in
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late afternoon and early evening periods is now occurring mid-afternoon on summer
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days [11]. This shift is specially associated with the growth of air conditioning
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consumption in both residential and commercial building sectors [10].
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Despite the sheer amount of energy required by Heating, Ventilation and Air
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Conditioning (HVAC) systems in order to heat and cool office environments, research
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findings indicate that this will not necessarily result in occupant’s satisfaction, in fact,
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the opposite seems to be true [12]. According to Zhang, Arens and Zhai [13], there is a
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strong trend observed in industry to overcool offices during summer and overheat
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during winter. This practice is not only wasteful in terms of the energy consumed by
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buildings, but it may also have a significant impact on workers’ productivity and health
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due to discomfort, especially in the case of over cooling/heating [14–18].
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As an alternative to avoid the undesirable, and oftentimes unnecessary use of air
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conditioning, increasing attention is being directed towards mixed-mode ventilation
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strategies [2,19–21] wherein there is more opportunity for occupants themselves to
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adapt and control their immediate thermal environments, which, in turn, may result in
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higher levels of overall occupant satisfaction [21,22]. A rich revision of those system
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were performed by [23] and [24] focusing on different operation modes of MM
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buildings and the influence of occupants’ and automatic control. Although there is a
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growing body of research knowledge coming from mixed-mode buildings, a research
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gap remains when it comes to studies conducted in different climate zones, and also in
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buildings where occupants rather than Building Management System (BMS) decide
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ACCEPTED MANUSCRIPT when to switch the ventilation system’s mode of operation. This is particularly true in
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Brazil, where a significant portion of the older office building stock has had air
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conditioning retrofitted into a basic, naturally ventilated design, rendering it mixed-
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mode ventilation. Very little field research has been conducted in such environments to
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date, and differently from what is observed in colder countries (where heating is needed
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during winter seasons), Brazilian buildings use to rely only in the cooling system
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throughout the year.
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This paper aims to contribute to this knowledge gap by presenting results from a
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thermal comfort study conducted in mixed-mode buildings, where occupants in most of
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cases need find a consensus situation to control their immediate thermal environment
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without the assistance of a BMS. Such situation somehow allows them to a higher
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degree of autonomy if compared to a HVAC environment; thus, with comparative
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purposes, thermal comfort responses were also involved from permanently-air-
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conditioned office buildings analysis in which occupants had negligible thermal
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autonomy.
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2. Methods
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Measurements of air temperature, air velocity, globe temperature and relative humidity
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where taken within the occupied zone simultaneously with the administration of online
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thermal comfort questionnaires. Field studies were carried out during a doctoral
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research [25] from March (Autumn) through October (Spring) 2015 in three office
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buildings located Brazil, covering all four seasons. Specifics about the climate,
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buildings and field studies are detailed in following sections.
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2.1. Climate description
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Florianópolis is located in the southern region of Brazil (latitude 27°40”S). According
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to Köppen’s classification, the city presents a humid subtropical climate, with regular
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outdoor temperatures varying from 17 to 29 °C during summer (running from
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December 21th to March 20th) and spring (from march 21th to June 20th); and from 13
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to 22 °C during winter (June 21th to September 20th) and autumn (September 21th to
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December 20th) [26]. Relative humidity is high throughout the year (minimum monthly
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average of 80% in November and maximum monthly average of 84% in July) and there
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ACCEPTED MANUSCRIPT is no dry season. The highest level of rainfall occurs during summer months from
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January to March, and the lowest in winter, from July to August (mean annual
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precipitation is 1,521 mm). The most prevalent wind directions in Florianópolis are
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from the North and Northeast, all year round. The mean daily total solar radiation
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incident horizontally is 4.2 kWh/m² [27].
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Outdoor air temperature and relative humidity measured by the National Meteorological
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Institute of Brazil (INMET – Instituto Nacional de Meteorologia), which is located
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close to the downtown of Florianópolis, were used to characterize the outdoor
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conditions during the field study according with the seasons (Table 1), and also to
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support the analysis of mixed-mode environments.
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According to Table 1, the highest value of outdoor temperature was registered during
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autumn (28.7°C) and not in summer, as expected, which occurred due to the small
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number of sample days falling within the hottest months. However, the mean values
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recorded are consistent with the characteristics for each season of the year described
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above for the climate of Florianópolis.
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Table 1. Outdoor air temperature (°C) and relative humidity (%) during the days of field study in accordance with the seasons
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Summer Autumn Winter Spring
Min.
Mean
25.1 28.7 28.1 26.3
21.5 14.9 6.3 12.1
23.3 22.6 17.9 22.3
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Outdoor Air Temperature (°C) Max.
RH (%)
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81 75 69 70
83 902 1325 378
2.2. Building characteristics1
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Field studies were conducted in three buildings with two different strategies of
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ventilation and air conditioning: one fully-air conditioned (FAC) and two mixed-mode
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buildings (MM). The first (Bd A, fully-air conditioned) is a 5-storey square building,
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with a total area of 27,735 m² occupied by 1,200 employees who work from 8:00 am to
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Due to constraints of a confidentiality agreement, all building-related information provided here is
limited, including use of photographs.
ACCEPTED MANUSCRIPT 6:00 pm. The second (Bd B- mixed-mode) is a 2-storey, H-shaped, mixed-mode
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building with a total area of 5,200 m², occupied by 280 employees working from 1:00
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pm to 7:00 pm. The third (Bd C – mixed-mode) is a 12-storey, rectangular building with
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a total area of 4,200 m² occupied by 350 employees working from 1:00 pm to 7:00 pm.
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All buildings present a mixed workspace layout, including open-plan and private,
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single-occupant offices. This spatial configuration is representative of Brazil’s office
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building stock. The study presented here was conducted within the open-plan office
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area. Details about adaptive features are discussed as follows:
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Bd A: fully time-controlled temperature conditions, with static indoor environment set at 24°C ± 2°C and a ventilation air system fed through modular
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vents (1x1 m) mounted in the ceiling. The windows are sealed and overlaid by
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brise-soleils that can be adjusted by the occupants during the year. There are no
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internal shading devices or humidity control. The facility manager just maintain
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an occupant complaint log or help desk for air-related complaint in their
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workspace; when it occurs, the maintenance sector installs an adapted blade to
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redirect the airflow to opposite sides over the head, redistributing the flow to the
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surrounding environment. Other than that, occupants were not afforded the
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opportunity to ask for thermal conditions to be changed.
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Bds 2 and 3: in these buildings, there are operable windows on all perimeter offices arranged along the external facades. Air conditioning units are installed
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in all of the open-plan spaces delimited by movable walls, being dimensioned
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according to the number of persons. As long as there is a consensus among
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people sharing the same space with colleagues, they might be completely at
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liberty to close/open the windows and shading devices (internal blinds), as well
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as to turn on/off the AC units.
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2.3. Measurements and occupant questionnaire
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Air temperature, humidity, globe temperature and air speed were measured with
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laboratory-precision instruments configured into a microclimatic station that was
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located at 0.60 m height above floor level at the central point within the occupied zone.
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Readings were averaged every 1 minute. Additionally, individualized air velocity values
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were taken with a handheld hot-wire anemometer close to each occupant (0.5 m radius)
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whilst their thermal comfort questionnaire was being completed. Physical parameters
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and instruments’ accuracy are shown in Table 2.
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Table 2. Physical measurements and instrument’s accuracy
Microclimatic Station Air Temperature (°C) Globe Temperature (°C) Relative Humidity (%) Air velocity (m/s)
Valid Range
Accuracy
0-60 0-60 5-96 0-3
±0.2°C ±0.2°C ±3.0% ±0.04 + 3%Var
Hot-wire Anemometer Valid Range
Air Temperature (°C) Air velocity (m/s)
0-80 0-20
Accuracy ±0.2°C + 3%Var
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Subjective questionnaires asked occupants to assess their thermal environment and
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register their thermal comfort, sensation, preference, acceptability and air movement
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acceptability (see Table 3). Subjects answered the questionnaire a total of five times, at
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20 minutes interval spanning a 100 min period (Figure 1). The online questionnaires
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were sent directly to each participant via e-mail and completed on their desk computers.
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Before the beginning of the study, the researchers ensured that all subjects familiarized
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themselves with the questionnaire; and during the measurements it was always
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reinforced to the occupants that they were free to adapt their clothing as they wished to.
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These changes were recorded to be used on the adjustment of the clo values before SET
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calculation.
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Figure 1. Measurement protocol schematic representation
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Anthropometric characteristics (gender, age and height) were also collected along with
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clothing and metabolic rate estimation in accordance with ASHRAE 55 [28]. A 0.1 clo
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value was added to the ensemble insulation estimates during post-processing
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calculations to account for chair insulation [28].
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Table 3. The right-here-right-now comfort questionnaire used in this field study
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Thermal Sensation: Right now, how do you feel?
- Hot - Warm - Slightly warm - Neutral - Slightly cool - Cool - Cold
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Thermal Preference: Would you prefer to be:
- Warmer - No change - Cooler
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+3 +2 +1 0 -1 -2 -3 +1 0 -1
- Yes - No
0 -1
- Comfortable - Uncomfortable
0 -1
Air Movement Acceptability: Right now, how would you classify the air movement in your space?
- Unacceptable, air movement too slow - Acceptable, air movement slow - Acceptable, appropriate air movement - Acceptable, air movement fast - Unacceptable, air movement too fast
+2 +1 0 -1 -2
Air Movement Preference: Right now, which air movement option would you prefer?
- More air movement - No change - Less air movement
+1 0 -1
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Thermal Acceptability: Is the current thermal environment acceptable for you? Thermal Comfort: At this moment, how would you consider this thermal environment?
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2.4. Data analysis
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At first, occupants’ responses and the environmental variables were quantitatively and
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visually summarized through descriptive statistics. The main analyses were constructed
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using a cross-information method relating the frequency of votes’ occurrence (thermal
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sensation, preference, comfort and acceptability, as well as air movement acceptability
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and preference) with the calculated Standard Effective Temperature (SET). SET was
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selected because it combines the six key thermal comfort parameters (ta, MRT, rh, v,
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clo, met) in a unitary temperature index based on a physiologically realistic simulation
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of the body’s heat and mass exchanges with its environment.
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simulation model underpinning SET renders it well suited to warm environments such
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The physiological
ACCEPTED MANUSCRIPT as those found in the present field study. The SET index was calculated for each set of
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field measurements using WinComf© software [29]. Second, to compare and determine
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whether two samples are likely to have come from the same two underlying populations
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that have the same mean, t-test were performed using IBM SPSS software2. Last, a
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PROBIT model was used to estimate and compare the neutral temperature between
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groups based in their thermal preference votes.
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3. Results and Discussion
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A total of 87 field measurements were conducted including 617 occupants and 2,688
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questionnaires completed for analysis. Among them, 1,274 (46.3%) questionnaires were
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collected from Bd 1 and 1,414 (53.7%) from Bds 2 and 3 combined. Table 4
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summarizes a breakdown of key indoor and outdoor variables recorded during this
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study.
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Table 3. Variability of indoor and outdoor parameters observed during field study
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Variable
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Mean Indoor Operative Temperature (°C) Max. Indoor Operative Temperature (°C) Min. Indoor Operative Temperature (°C) Mean Standard Effective Temperature (°C) Prevailing Mean Outdoor Temperature (°C) Mean Radiant Temperature (°C) Mean Relative Humidity (%) Mean Air Velocity (m/s) Max. Air Velocity (m/s) Min. Air Velocity (m/s) Male occupants Female occupants Mean Clothing Insulation (clo) Mean Metabolic Rate (met)
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Mixed-mode (Bds 2 and 3 combined)
Fully-AC (Bd 1)
NV Mode n = 1,069
AC Mode n = 345
n = 1,274
23.0 26.9 16.9 23.8 19.3 22.9 62.6 0.16 0.37 0.10 543 531 0.76 1.00
23.6 26.0 20.9 23.4 22.9 23.6 60.1 0.15 0.31 0.02 151 189 0.62 1.00
22.9 24.5 21.7 23.3 21.7 22.8 61.0 0.13 0.27 0.07 796 478 0.68 1.00
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According to Table 4, all buildings presented moderate air speed values ranging
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between 0.1 and 0.3 m/s (mean values of 0.13 m/s for FAC building and 0.15 m/s for
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MM buildings). These low air velocity values were observed in MM buildings even in
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naturally ventilated mode with windows open as a consequence of the poor cross
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IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp.
ACCEPTED MANUSCRIPT ventilation conditions. Clothing and metabolic rate values were similar in all buildings;
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but the highest mean clo values were observed during the naturally ventilated period in
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MM buildings, and this condition was commonly observed during colder days. The
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ratio of male to female respondents in each type of building differed slightly: in MM
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buildings, the percentage of males was 49% and females 51%, while in FAC buildings
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these percentages were 63% and 37% respectively.
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Figure 2 shows the frequency of the Standard Effective Temperature (SET) considering
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the same values interval for both types of buildings (MM and FAC). A comparison
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reveals that the SET values registered in the MM buildings presented a wider range of
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distribution (19-28 °C), while FAC buildings tended to register values close to 22-24 °C
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(ranging between 21-27 °C). The wider range of temperatures normally distributed
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around the mode of 24 °C in Figure 2a strongly characterizes the behaviour of the MM
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buildings, where indoor conditions fluctuate in sympathy outdoor conditions (registered
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dry-bulb temperature ranged between 17-28 °C), whereas in fully-air conditioned
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buildings (Figure 2b) there is a tendency to remain in a predominant thermal condition,
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with no expectation of seasonal nor synoptic variation (registered dry-bulb temperature
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ranged between 22-25 °C).
a)
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b)
Figure 2. Comparison between standard effective temperature values observed in FAC building on the right, and MM buildings on the left
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3.1. Observed mixed-mode features and operation
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The results of this section focus solely on data collected from Bd 2 and 3 (mixed-mode
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buildings), pooled according predominant ventilation operation mode at the time of
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survey, namely: 1) when natural ventilation was in use (NV mode); and 2) with air-
ACCEPTED MANUSCRIPT conditioning in use (AC mode). During the field study, seasons in which natural
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ventilation was a more likely option for occupants were prioritized in the field campaign
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schedule. Thus, months with lower external air temperatures were preferred and
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therefore a higher frequency of data occurred in autumn and winter (93% of votes in
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those seasons). A small number of the questionnaires was collected during summer and
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spring days (only 7%), and most of these were during spring – see Figure 3. It is
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important to highlight that in Brazil, collecting representative data from commercial
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buildings on summer days is impeded by the festive seasons (Christmas, New Year and
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Carnival) and the vacation period, since work conditions are typically far from normal
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and few occupants are present inside the buildings.
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Figure 3. Distribution of data from Bd 2 and 3 filtered by season and operation mode
Figures 4 and 5 provide distribution of SET values in mixed-mode buildings sorted
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according to ventilation system mode of operation. These figures also show the daily
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outdoor temperature readings and the maximum outdoor temperature considering only
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the occupied hours of the buildings (from 8am to 7pm). It is interesting to note that, as
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observed previously in Figure 2 (comparison between MM and FAC buildings), the
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SET temperatures presented a wider range during NV mode and a high concentration of
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values in the range of 23-24 °C in the AC mode;
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As stated by [24], the present results also suggests that occupants do not always choose
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the use the artificial conditioning all year round to maintain a constant indoor
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temperature. It was observed that when outdoor conditions are acceptable, occupants
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tend to accept them passively adjusting the windows opening and shade devices; this
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behaviour in mixed-mode buildings is promising in terms of energy savings.
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Figure 4. Relation between outdoor air temperature and the standard effective temperatures (SET) in the naturally ventilated mode
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Figure 5. Relation between outdoor air temperature and the standard effective temperatures (SET) in the air-conditioned mode
A remarkable feature in figures 4 and 5 is the limit of maximum values: 1) when the
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maximum outdoor temperature exceeds 25 °C, the AC was in use (Figure 5); and when
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maximum outdoor temperature is below 24°C, the NV was in use (Figure 4). It is
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interesting to note in Figure 5 that the AC was in use even when the daily mean
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temperature was close to 20 °C. These result may suggests that during the cold months,
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air-conditioning use in MM buildings may be a direct consequence of the external peaks
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in temperature along with the building internal load (which usually occurs during the
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afternoon as a consequence of solar radiation influence), rather than the daily mean
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temperature. A daily mean temperature close to 20 °C during winter periods in
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Florianópolis may be strongly influenced by the beginning and end of day temperatures
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(especially those between 6pm to 7am) rather than the peak temperatures. A similar
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condition is observed in Figure 4 (daily mean temperature close to 20 °C), but in this
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case, the external maximum temperature of 24 °C was not enough to lead the occupants
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to trigger the AC.
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ACCEPTED MANUSCRIPT 3.2. Thermal comfort in mixed-mode buildings
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Initially, the thermal sensation data were analysed considering the two operation modes
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in Bd 2 and 3: a) AC and b) NV. Figure 6 summarizes the mean values for the thermal
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sensation votes with a 95% confidence interval for the sample, represented on a seven-
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point scale (ranging from cold (-3) through neutral (0) to hot (+3)) and related to SET
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binned at 1 °C intervals. According to Figure 6, it can be assumed that thermal
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sensation was strongly dependent on the operation mode. In AC mode thermal
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sensations were relatively unaffected by standard effective temperature from 21 through
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to 27°C, whereas the same span of temperatures in NV mode was associated with a
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steady increase in thermal sensation.
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Figure 6. Differences in the mean thermal sensation votes for MM buildings under the two different modes of operation
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Figure 7 summarizes the thermal preference votes of occupants in the mixed-mode
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buildings sorted according to ventilation mode - NV and AC mode, focusing on a
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common interval for a SET of 22-26 °C. Requests for cooler temperatures increased
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significantly once standard effective temperature increased to 25 °C and 26 °C, but
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frequency of requests for cooler temperatures were more than twice as prevalent in NV
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mode as they were in AC mode in this same 20~26 oC temperature band. Even when the
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outdoor mean temperature during the daytime is higher in the AC mode, a substantial
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minority preference is still for a warmer environment, which could be associated with
ACCEPTED MANUSCRIPT the season and comfort expectations inside buildings. The best SET scenario (highest
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percentage for ‘no change’) occurred at 24 °C in the NV mode, and 25 °C in the AC
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mode (80% in both cases).
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a)
b)
Figure 7. Thermal preference changes according with binned SET and the operation mode: NV on the left (a) and AC on the right (b)
Based on the thermal preference votes, more specifically the preference for a “cooler
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environment” or a “warmer environment”, the PROBIT regression model was used to
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estimate the lowest probability of obtaining thermal preference votes for a cooler or
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warmer environment and, consequently, the most likely temperatures in which a
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preference for no temperature change will be expressed. This analytical method has
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been previously used by Fanger [30] for the PPD index, so the intersection point
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between the warmer and cooler curves from the probit regression of Figure 8 was
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assumed to be the representative value of the preferred temperature for both of the
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operation modes: NV mode on the left and AC mode on the right. According to the
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results presented in Figure 8, the preferred SET temperature for the NV mode is close to
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24 °C, with 12% of occupants preferring different temperatures, whereas for the AC
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mode the preferred standard effective temperature was close to 26 °C with only 10%
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preferring a change in temperature (for the PROBIT model the significance level for the
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coefficient and intercept is p < 0.001).
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ACCEPTED MANUSCRIPT Warmer Cooler
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Figure 8. Preferred standard effective temperatures during the NV mode vs. AC mode
These differences in the thermal sensation and preferred temperature are consistent with
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studies conducted in Australia [31] and China [20], which supports the distinction of
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thermal comfort responses of occupants based on contextual factors such space
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conditioning mode. According to the cited authors, the AC and NV modes prompt
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slightly different Actual Mean Vote (AMV thermal sensation) to the identical
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temperatures. In Sydney, the neutral temperature for NV was lower than that for AC,
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while in Shenzhen occupants tended to accept a wider range of indoor thermal
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conditions and were more likely to report a neutral thermal sensation. In this study, the
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frequency of a neutral thermal sensation was slightly higher during the AC mode (55%
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vs. 52%, respectively) with an AMV of -0.32. On the other hand, votes within the
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thermal comfort zone (between -1 and +1) were slightly higher during the NV mode
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compared to AC (94% vs. 91%, respectively), and the AMV during this operation mode
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was 0.08. The discomfort rate was also higher during the AC mode compared to the NV
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mode (10% vs. 5%, respectively).
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Air movement acceptability was also analysed through the questionnaire item - “right
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now, how do you classify the air movement in your space?” Figure 9 presents the air
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movement acceptability votes in relation to SET binned values separately for the two
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ventilation modes in operation, NV on the left (a) and AC on the right (b). On
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comparing the two graphs, it can be observed that air movement was more unacceptable
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in the NV mode, especially the 25°C and 26°C SET bins). During the AC mode, air
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movement acceptability reached 100% for the 25°C and 26°C bars.
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Figure 9. Air movement acceptability for the two modes of operation according to the binned values of SET: a) NV mode and b) AC mode
Figure 10 describes the air movement preference through the questionnaire item “Right
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now, how would you classify the air movement in your space?” The response options
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were: 1) I would prefer more air movement; 2) I would prefer no change, and 3) I would
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prefer less air movement. Any option other than “I would prefer no change” was
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considered as an expression of dissatisfaction. The results showed that the preference
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votes tended toward “more air movement” in the NV mode, reaching more than 20% of
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dissatisfaction at all SET values. In the AC mode, the dissatisfaction votes had a
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counterintuitive relationship with SET in that the percentage of occupants requesting
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more air movement generally decreased in warmer environments, as expressed in SET.
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In Figure 10 there is a predominant preference for higher air velocities during the
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operation of NV, but this preference was lower during AC mode at the same intervals of
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SET (which uses the air speed as an input parameter), with mean values for the two
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modes being similar.
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Figure 10. Air movement preference for the two modes of operation: a) NV mode and b) AC mode
3.3. General comparison between MM and FAC buildings
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A general comparison between the mixed-mode buildings and the fully-air conditioned
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building results was carried out to determine whether there is a difference between the
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two types of buildings in terms of thermal performance using the perception, comfort
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and acceptability votes, along with air movement acceptability. Figures 11a and 11b
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illustrate the relationship between thermal sensation and thermal preference according
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to ventilation type. It can be observed that the neutral sensation resulted in 95% of “no
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change” votes in both cases. In the FAC building, none of the occupants considered the
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thermal environment to be too hot (+3), but in both types of buildings the percentage of
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dissatisfied occupants wanting a cooler or a warmer environment when thermal
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sensation reached +3 or -3 was 100%. However, it is interesting to note that -2, -1 and
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+2 and +1 can generate different preferences when compared. Firstly, the “cold”
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condition (-2) resulted in a higher preference for a warmer environment in mixed-mode
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buildings when compared to the FAC building (77% vs. 96%, respectively); and,
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secondly, the “slightly warm” condition (+1) resulted in a higher preference for a cooler
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environment in FAC building when compared to the other +1 bars from MM building
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(72% compared to under 50%). These results suggest that the slightly warm condition
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may be more acceptable in mixed-mode buildings than in fully-air conditioning
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buildings (no change preference is 51% in MM building and 26% in FAC building
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considering the +1 interval). An interesting conclusion from a study conducted in a hot-
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are more acclimated and tolerable with hot and humid environments and more
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uncomfortable and intolerable with cold environments. This assumption can also be
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delineated for the results found in mixed-mode buildings (Figure 11a).
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Figure 11. Relationship between thermal sensation and thermal preference in: a) Mixed-mode buildings and b) FAC building
Figure 12 demonstrates the relation between the thermal sensation and acceptability
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votes in mixed-mode and the fully-air conditioning building. Once again, differences
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between the two types of buildings can be observed either side of the neutral thermal
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sensation. In mixed-mode buildings, the “slightly cool” sensation was associated with
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only ~9% calls for temperature change, while in HVAC buildings requests for different
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temperatures were twice as frequent at this same slightly cool thermal sensation.. This
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difference in the preferred change percentages can also be observed for the -2 sensation
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bar (cool) and the +2 bar (warm), which suggests that in FAC buildings the cold and hot
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sensations can be considered as uncomfortable in a higher percentage of cases when
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compared to mixed-buildings, where occupants can control the windows or the air
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conditioner units.
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Figure 12. Relationship between thermal sensation and thermal preference in: a) Mixedmode buildings and b) FAC building
The results indicate that there is a high expectation to remain in a neutral condition in
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FAC buildings, which is not the case in a mixed-mode building. Mixed-mode occupants
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seem to accept greater fluctuations in their thermal response to the indoor environment,
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even at ±2, which could be connected to the “forgiveness factor” discussed by Deuble
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and de Dear [14] or even consensus issues about turn on/off the AC in a heterogeneous
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group of people sharing the same indoor space.
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Figure 12 bins the binary discomfort votes into the seven-points of the thermal sensation
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scale for both MM and FAC buildings, and Figure 13 shows the overall distribution of
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thermal acceptability votes in these two building types, binned by SET. The results
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indicate that both MM and FAC buildings achieved relatively high levels of overall
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thermal acceptability (neither type exceeded 20% of threshold commonly reported in
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office building field studies – Arens et al [33]). However, the difference between the
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thermal acceptability for these Brazilian MM and FAC buildings is clear (6~7%) and
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significant (p < 0.05) in the cooler temperatures of Figure 13 (21°C