Numerical Study of the Thermal Efficiency of a School Building with Complex Topology for Different Orientations

Conceição, Eusébio; Lúcio, Ma Manuela

doi:10.1177/1420326x08099550

Cited by 32 publications

(21 citation statements)

References 7 publications

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“…At present, most research have mainly been conducted in schools in tropical and subtropical regions. [12][13][14][15][16][17][18] The results of a study that researched the application of the PMV and clothing adaptation with 79 children showed that the PMV model does not predict the thermal sensation of these children accurately in the Netherlands. 11 In England, the study results suggest that children are more sensitive to higher temperatures than adults, with the comfort temperatures being approximately 4 C and 2 C lower than the PMV and the BS EN15251:2007 adaptive comfort model predictions, respectively.…”

Section: Introductionmentioning

confidence: 99%

The indoor thermal environment of rural school classrooms in Northwestern China

Liu

Jiang

Wang

et al. 2016

Indoor and Built Environment

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School classroom thermal environments could impact on thermal comfort and learning performance. Currently, the majority of research on the school indoor thermal environment has been focusing on urban areas, but notably little research has been conducted on rural schools. A field study was undertaken during the winter in Northwestern China, in order to investigate the indoor thermal environment and the impact on students' thermal comfort and learning performance in rural primary and secondary schools. Through subjective surveys and objective measurements, we gathered 763 sets of data and questionnaires. Together with the measured air temperature, relative humidity, air velocity, globe temperature, teenagers' activity levels and clothing insulation levels, the sensations of the indoor air conditions and the learning performance were evaluated. The current thermal environment situation in rural schools was identified. The neutral temperature was found to be approximately 15.0 C with an average clothing insulation of 1.6 clo. Overall, the environment is satisfactory and comfortable. Moreover, the results from the students' fatigue testing demonstrated the temperature corresponding to the highest learning performance is lower than the actual neutral temperature by about 1.0 C. The basic parameters of our findings have provided a future reference for improvement of the thermal environment in rural schools.

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Section: Introductionmentioning

confidence: 99%

The indoor thermal environment of rural school classrooms in Northwestern China

Liu

Jiang

Wang

et al. 2016

Indoor and Built Environment

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“…Here, the PMV index within category C (PPD ≤ 15%) was used as the thermal comfort requirement in accordance with the ISO 7730 [27] and the AHSRAE 55 [28] standards. This category was appropriate to the moderate Mediterranean-type climate where the studied building was located, as seen in previous works developed for buildings with complex topology located in the same region [38,58,59].…”

Section: Pmv and Ppd Modelsmentioning

confidence: 99%

“…Concerning both studies, the air temperature values calculated by the numerical model and experimental data measured inside the occupied spaces, were compared. Other details of the numerical model and other applications can be found in these studies [58,59,[63][64][65]. Regarding this numerical simulation, only the passive and active solar resources were used.…”

Section: Numerical Model Of Building Thermal Beahviourmentioning

confidence: 99%

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Influence of the Airflow in a Solar Passive Building on the Indoor Air Quality and Thermal Comfort Levels

2019

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The influence of the airflow in a solar passive building on the indoor air quality and thermal comfort levels was investigated. The numerical study for a university library was conducted using a software that simulates the building thermal behavior with complex topology, in transient conditions, for evaluating the indoor air quality and occupants’ thermal comfort levels for typical summer and winter days. Solar radiation was used as a renewable energy source to increase simultaneously the thermal comfort and air quality levels and reduce building energy consumption. Regarding the solar passive building, consideration was given to all of the building structure envelope, shading devices and interior details, while in the solar active building active ventilation was used. To analyze the airflow that simultaneously provides the best indoor air quality and thermal comfort levels, a new integral methodology based on the minimization of the total number of uncomfortable hours was used. The results show that it was possible to determine an air change rate that ensures a good compromise between thermal comfort and indoor air quality. An optimal air change rate of two and three renewals per hour had been determined, respectively, for winter and summer conditions.

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“…The input data are the buildings geometry (introduced in a three-dimensional design software), the boundary conditions, the materials thermal proprieties, the outdoor environmental and geographical conditions, the initial conditions, the several heat and mass loads, the occupation cycle, the occupants' clothing and activity levels, and the air ventilation topologies. More details on the numerical model are described in Conceição and Lúcio [5,38].…”

Section: Numerical Modelmentioning

confidence: 99%

HVAC Systems Applied in University Buildings with Control Based on PMV and aPMV Indexes

et al. 2019

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In this work, HVAC (Heating, Ventilation and Air Conditioning) systems applied in university buildings with control based on PMV (Predicted Mean Vote) and aPMV (adaptive Predicted Mean Vote) indexes are discussed. The building’s thermal behavior with complex topology, in transient thermal conditions, for summer and winter conditions is simulated by software. The university building is divided into 124 spaces, on two levels with an area of 5931 m2, and is composed of 201 transparent surfaces and 1740 opaque surfaces. There are 86 compartments equipped with HVAC systems. The simulation considers the actual occupation and ventilation cycles, the external environmental variables, the internal HVAC system and the occupants’ and building’s characteristics. In this work, a new HVAC control system, designed to simultaneously obtain better occupants’ thermal comfort levels according to category C of ISO 7730 with less energy consumption, is presented. This new HVAC system with aPMV index control is numerically implemented, and its performance is compared with the performance of the same HVAC system with the usual PMV index control. Both HVAC control systems turn on only when the PMV index or the aPMV index reaches values below −0.7, in winter conditions, and when the PMV index or the aPMV index reaches values above +0.7, in summer conditions. In accordance with the results obtained, the HVAC system guarantees negative PMV and aPMV indexes in winter conditions and positive PMV and aPMV indexes in summer conditions. The energy consumption level is higher in winter conditions than in summer conditions for compartments with shading, and it is lower in winter conditions than in summer conditions for compartments exposed to direct solar radiation. The consumption level is higher using the PMV control than with the aPMV control. Air temperature, in accordance with Portuguese standards, is higher than 20 °C in winter conditions and lower than 27 °C in summer conditions. In Mediterranean climates, the HVAC systems with aPMV control provide better occupants’ thermal comfort levels and less energy consumption than the HVAC system with PMV control.

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Numerical Study of the Thermal Efficiency of a School Building with Complex Topology for Different Orientations

Cited by 32 publications

References 7 publications

The indoor thermal environment of rural school classrooms in Northwestern China

The indoor thermal environment of rural school classrooms in Northwestern China

Influence of the Airflow in a Solar Passive Building on the Indoor Air Quality and Thermal Comfort Levels

HVAC Systems Applied in University Buildings with Control Based on PMV and aPMV Indexes

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