Опубликована: Янв. 1, 2024
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Язык: Английский
Опубликована: Янв. 1, 2024
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
Язык: Английский
Journal of Building Engineering, Год журнала: 2024, Номер 84, С. 108677 - 108677
Опубликована: Янв. 29, 2024
Indoor thermal conditions are essential in educational buildings. The health and well-being of students can be affected by a poor environment, which also has clear impact on building energy consumption. In this context, the indoor environment naturally ventilated university classrooms is explored study during complete academic year. A monitoring campaign questionnaire survey were conducted simultaneously higher education buildings Spain. total 2115 sets data collected. Thermal sensation prediction indices (predicted mean vote, extended predicted vote adaptive vote) applied to evaluate student’s perception their accuracy was assessed. Additionally, two machine-learning models, based Artificial neural network (ANN) random forest (FR) algorithms, formulated predict occupants’ sensation. obtained results evidenced that proposed ANN RF models outperform traditional indices. Finally, it an comfort model. suggest have greater capacity changes environmental than suggested ASHRAE-55 model they preferred with lower temperatures those EN-16798
Язык: Английский
Процитировано
24Energy and Buildings, Год журнала: 2024, Номер 308, С. 114022 - 114022
Опубликована: Фев. 17, 2024
The quality of the indoor thermal environment is essential because its impact on energy efficiency buildings and health well-being those who occupy them. This particularly important in educational direct student performance. Various factors, such as natural ventilation, have become relevant since COVID-19. Although this measure no longer mandatory, usefulness has been proven, it therefore interesting to evaluate understand comfort classrooms. In addition other aspects clothing, gender habits can also influence perception occupants. Therefore, study investigates these factors university Spain Portugal through a campaign measurements questionnaires. results showed that, according CO2 concentrations, ventilation strategies maintained more than Portugal. Also, protocols did not negative effect On hand, there were significant differences between student's responses two countries. fact, Portuguese students warmer preferences (Tn = 26.40 °C) Spanish 24.70 °C). Finally, clothing crucial factor comfort, with by country gender.
Язык: Английский
Процитировано
16Building and Environment, Год журнала: 2024, Номер 258, С. 111644 - 111644
Опубликована: Май 14, 2024
Язык: Английский
Процитировано
9Journal of Building Engineering, Год журнала: 2024, Номер 87, С. 109081 - 109081
Опубликована: Март 18, 2024
Thermal sensitivity directly impacts occupants' comfort by influencing neutral temperatures and models. The Griffiths method, commonly used to derive thermal sensitivity, often assumes a constant value of 0.5°C-1 for calculating temperatures. However, it is important note that can vary depending on factors such as building type, climatic conditions, operation mode (i.e., natural ventilation, mechanical or mixed mode), age. This study aims define whether age-dependent differences in exist schools, achieved through the formulation specific coefficients each educational stage. A field was conducted naturally ventilated classrooms within same climate zone, collecting 1548 subjective responses objective measurements from students across different stages. results demonstrate schools lower than assumed values, especially primary (0.085°C-1), increases with students' variation reflected corresponding temperatures, which also increase Using coefficient lead significant estimation errors temperature, potentially up 1 °C, impacting both energy consumption. emphasizes there are expectations related To improve reliability adaptive models ensure accurate estimations, essential future research consider age when evaluating sensitivity.
Язык: Английский
Процитировано
7Building and Environment, Год журнала: 2025, Номер unknown, С. 112523 - 112523
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1Building and Environment, Год журнала: 2025, Номер unknown, С. 112701 - 112701
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1Total Environment Research Themes, Год журнала: 2023, Номер 8, С. 100083 - 100083
Опубликована: Окт. 7, 2023
Thermal comfort prediction is an important issue, as it can largely influence occupants' well-being and buildings' energy consumption. Nowadays, models used to assess thermal have been increasingly discussed, a growing number of data-driven with several input parameters developed. Although these allow reasonably accurate predictions comfort, using complex algorithms determine might be unsuitable for some use cases, such quick estimations or real-time control Heating Ventilation, Air Conditioning (HVAC) systems. In this paper, model was developed based on 61710 samples subjective responses associated environmental from field studies available in two ASHRAE databases. Two resulted analysis, one higher accuracy simplified, which improved the comparison other regression PMV. However, since cannot conceived punctual condition, areas were derived, i.e., respective ranges at 90%, 80%, 70% acceptability. The result that error new below 90% acceptable range, means models' does not lead reduction evaluation occupant comfort. Built upon influential parameters, enable estimates occupant-cantered HVAC control. notion non-fixed state empowers more flexible building management criteria, reducing while upholding indoor
Язык: Английский
Процитировано
17Energy and Buildings, Год журнала: 2024, Номер 321, С. 114663 - 114663
Опубликована: Авг. 14, 2024
Accurate thermal comfort prediction is essential for enhancing both and energy efficiency in buildings. The heat balance adaptive models, while widely used, have been often questioned relation to their strengths limitations. To overcome these challenges, a comprehensive understanding of the physical parameters influencing exchange occupants' capacities essential. This study introduces an analytical method formulate new model, adPMV, which integrates models considering various perception. model PMV with factor associated running mean outdoor temperature, line theory. Tested on 1377 samples from European university classrooms, adPMV demonstrates enhanced accuracy (MAE=0.74, RMSE=1.01, MBE=-0.11) compared other models. Validation naturally ventilated classrooms ASHRAE's databases further confirms promising results, showcasing reduced error indices (MAE=0.68, RMSE=0.81, MBE=-0.03). Notably, using setpoints not only improves sensation but also leads substantial reduction heating demand, reaching up 40 %. adaptability this different contexts, such as building types, climates, HVAC system operations, presents it versatile tool exploring principles.
Язык: Английский
Процитировано
5Journal of Building Engineering, Год журнала: 2024, Номер 90, С. 109426 - 109426
Опубликована: Апрель 25, 2024
Язык: Английский
Процитировано
4Building and Environment, Год журнала: 2023, Номер 247, С. 111004 - 111004
Опубликована: Ноя. 3, 2023
Язык: Английский
Процитировано
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