Adaptive thermal comfort model for educational buildings in a hot-humid climate

López-Pérez, L.A.; Flores-Prieto, J. J.; Rios-Rojas, Carlos

doi:10.1016/j.buildenv.2018.12.011

Cited by 89 publications

(38 citation statements)

References 37 publications

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“…However, the results of PMV show that the average occupants of residential houses are predicted to feel neutral to slightly warm while those of AMV show that they feel indifferent to cold. These findings are following those of the previous studies assuming that PMV is less feasible to predict the naturally ventilated buildings [23] [24].…”

Section: Results S and Discussionsupporting

confidence: 90%

The Thermal Condition and Comfort Temperature of Traditional Residential Houses Located in Mountainous Tropical Areas: An Adaptive Field Study Approach

Hermawan

Prianto

Setyowati

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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Thermal comfort may be evaluated from the thermal condition of residential houses and their occupants' satisfaction. This research evaluates the thermal comfort of traditional residential houses located in mountainous areas of Wonosobo, Indonesia. The evaluation is conducted based on the physical condition of residential houses and their occupants' satisfaction factors. A quantitative approach is employed to analyze the theory of static thermal comfort (Predicted Mean Vote/PMV) and that of adaptive thermal comfort (Actual Mean Vote/AMV). The research method is conducted based on a field study. The thermal condition is measured using 4 climate variables and 2 personal variables. Climate variables are air temperature, globe temperature, relative humidity and wind velocity. Personal variables are clothes and activity. AMV was based on thermal sensation from ASHRAE (American Society of Heating, Refrigerating and AirConditioning Engineers). The sensation thermal is very cold (-3), cold (-2), cool (-1), neutral (0), warm (+1), hot (+2), very hot (+3). The research has conducted a survey of 14 houses with 39 respondents. The research findings show that the comfort temperature is 24.47 o C within air temperature (T a) or 24.14 o C within T g or 24.17 o C within T o or 25.08 o C within T ET or 24.69 o C within T SET. These findings are compared to those previously conducted in Jakarta and Bandung showing that some differences are dealing with their comfort temperature. The other findings show that there are also some PMV and AMV differences of traditional residential houses located in the tropical mountainous areas.

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Section: Results S and Discussionsupporting

confidence: 90%

The Thermal Condition and Comfort Temperature of Traditional Residential Houses Located in Mountainous Tropical Areas: An Adaptive Field Study Approach

Hermawan

Prianto

Setyowati

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

View full text Add to dashboard Cite

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“…Ambient sensors are widely used to gather data about indoor environmental conditions. In particular, indoor air temperature is measured by temperature sensors [11,[30][31][32][33][34] and relative humidity is measured by humidity sensors [11,[30][31][32][33][34]. In addition, data loggers are used for monitoring several parameters (e.g.…”

Section: Data Acquisition Technologies For Thermal Comfortmentioning

confidence: 99%

“…diameter black globe thermometer [15,31,33,[38][39][40][44][45][46][47]. It can be also measured by sensors [11,32,49], heat stress meter [30,43,48,50] and data loggers [36,37,41,42]. Moreover, external sensors can be used for measuring globe temperature [35].…”

Section: Data Acquisition Technologies For Thermal Comfortmentioning

confidence: 99%

“…Accordingly, several researchers focused on identifying thermal comfort perception and preferences of occupants in various buildings including office buildings, educational buildings, residential buildings, shopping centers, hospitals, historical buildings, mosques and churches. López-Pérez et al [11] conducted a thermal comfort study in an educational building in a hot-humid climate. The results show that occupants in educational buildings prefer higher comfort temperatures up to 1.0ºC in reference to current standards.…”

Section: Introductionmentioning

confidence: 99%

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Data Acquisition Technologies for Assessing Thermal Comfort in the Built Environment

Kuru¹,

Çalış²

2021

Pol. J. Environ. Stud.

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Nowadays, many buildings are equipped with sensors that acquire large amounts of data, which can be useful to monitor, to understand and to identify thermal comfort conditions in buildings. The studies on thermal comfort of building interior spaces are not only numerical analysis based on program outcomes, but also experimental studies to confirm the results of the analysis. However, the most important factor in achieving the correct result in experimental analysis is to plan the data, to select the technology and to determine the test procedure. This study aims at providing an important source for experimental researchers working on thermal comfort by identifying data acquisition technologies that are utilized for capturing thermal comfort related data. Within this context, the study presents existing instruments utilized for monitoring thermal comfort conditions and provides a guideline with respect to technical properties, deployment strategies and time intervals. The findings of this study will be beneficial to practitioners and researchers for selecting and utilizing the most appropriate data acquisition technology for assessing thermal comfort in indoor environments.

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“…Experienced analysts may use a strategic model to frame the parameters of debate. For instance, they may treat the model as an opportunity to inform project stakeholders on recent research in adaptive comfort [22][23][24][25][26][27][28][29][30][31][32][33][34][35][36], advocating for natural ventilation principles to be incorporated into the schematic design. In such a case, the analyst may try to show the cumulative influence of passive design measures on the floating or free-running temperature; that is, how the interior temperature evolves without active thermostatic control.…”

Section: Strategic Modelsmentioning

confidence: 99%

The Optimal Tuning, within Carbon Limits, of Thermal Mass in Naturally Ventilated Buildings

Craig¹

2019

Preprint

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What proportions should a thermally massive building have? How should the thermal mass be distributed? Should the "massing" change with the choice of material? This paper shows how to optimize the physical proportions of a building so that it synchronizes ambient heat exchanges in a natural feedback cycle. An internal mass is thermally coupled with buoyancy ventilation; the cycle is driven by the daily swing of outdoor temperature. Tripling up functions in this way—so that structural materials can reliably cool and power the ventilation for buildings—could help decarbonize the construction industry and provide an effective strategy for adapting to life-threatening heatwaves. Based on harmonic analysis, the method allows designers to thermally tune the form and mass of a building to meet chosen targets for temperature and ventilation in free-running mode. Once the optimal balance of exchange rates is known, design teams can proportionally vary the building height and ventilation openings against the surface area and thickness of an internal thermal mass. The possible permutations are infinite but parametrically constrained, allowing teams to fairly compare the functional and environmental credentials of different construction materials while they produce and evaluate preliminary options for organizing the exterior form and interior spaces of a building. An example study suggests that thin-shell structures of minimum weight, and even timber buildings, may be optimally tuned to produce ample ventilation and temperature attenuation.

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Adaptive thermal comfort model for educational buildings in a hot-humid climate

Cited by 89 publications

References 37 publications

The Thermal Condition and Comfort Temperature of Traditional Residential Houses Located in Mountainous Tropical Areas: An Adaptive Field Study Approach

The Thermal Condition and Comfort Temperature of Traditional Residential Houses Located in Mountainous Tropical Areas: An Adaptive Field Study Approach

Data Acquisition Technologies for Assessing Thermal Comfort in the Built Environment

The Optimal Tuning, within Carbon Limits, of Thermal Mass in Naturally Ventilated Buildings

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