Ghazal Asadi Eskandar, Bahador Zamani, Shahab Kariminia, Maryam Ghasemi Sichani,
Volume 0, Issue 0 (3-1921)
Abstract
Increased temperatures in urban areas due to high energy consumption and greenhouse gas emissions are some of the problems of today's cities. Urban open spaces in hot and arid climates experience this problem more in summer. The purpose of this study is to show the relationship between morphological components of the urban fabric and thermal comfort through integrated analysis. In this study, urban fabric types were extracted by considering ground space index, floor space index, open space ratio, average height, streets orientation, streets organization, and type of plots according to their configuration of mass and space. To study thermal comfort, a field study was carried out in five neighborhoods in the historical context, for five continuous days in summer. Environmental variables including air temperature, humidity, radiant temperature, and wind speed were measured and the physiological equivalent temperature index was calculated using ENVI-met software and thermal comfort in the neighborhoods with different morphological characteristics was analyzed. The results showed that more than half of the data during the day in the hot season in all five neighborhoods are in conditions of extreme heat stress. Comparison of neighborhoods with different morphological features indicated that two neighborhoods with higher open space ratios, despite the difference in the orientation of the streets and the type of plots, have lower thermal comfort compared to other types. A neighborhood with a higher ground space index and a lower open space ratio has a lower average physiological equivalent temperature.
Monireh Rodsarabi, Mohammad Baaghideh, Dr Alireza Entezari, Fatemeh Mayvaneh,
Volume 0, Issue 0 (3-1921)
Abstract
In order to evaluate the thermal comfort conditions in the classroom, a field study was conducted in Sabzevar. Students' thermal sensations of class conditions were recorded at different hours of the day during the 2009-2010 academic year for different classes. At the same time, the temperature and humidity values of the classes were collected by a Data logger. To examine the differences, ANOVA, and Kruskal-Wallis methods were used. The results showed that the location of the classrooms in terms of geographical direction and building floor did not make a significant difference in the temperature and humidity, while the hourly differences of these parameters were significant.
In general, the responses related to the sensation of cooling had higher percentages than the state of heating (24% vs. 12%).
The thermal sensation in different months showed significant differences and the month of October had the lowest frequency in the feeling related to thermal comfort. In all months, except for October, the students' preferred was "heating". Although the performance of the heating system has been assessed as adequate, the operation time of this system should be done at a shorter distance from the start of morning classes to avoid wasting a significant portion of energy.
Although the temperature and humidity inside the classrooms did not show a significant monthly difference, but in terms of students' thermal sensation between different months, there was a statistically significant difference, therefore, the thermal sensation is something beyond physical characteristics (temperature and humidity) and In addition to being affected by climatic parameters, it is also strongly influenced by individual characteristics (sex, age, weight, height, clothing and activity level).
Alireza Entezari, Fatemeh Mayvaneh, Khosro Rezaie, Fatemeh Rahimi,
Volume 18, Issue 51 (6-2018)
Abstract
Human thermal comfort and discomfort of many experimental and theoretical indices are calculated using the input data the indicator of climatic elements are such as wind speed, temperature, humidity, solar radiation, etc. The daily data of temperature، wind speed، relative humidity، and cloudiness between the years 1382-1392 were used. In the First step، Tmrt parameter was calculated in the Ray Man software environment. Then UTCI and PMV index values were calculated using Bioklima software. The results showed that the most severe cold temperature stress on PMV index is in the winter and late autumn and UTCI index in January and February are the coldest stress. The power of neural networks, prediction of future performance network (generalized orientation) it simply is not possible and the new model presented in this paper have been restricted Boltzmann machine-based neural networks or neural networks is used deep belief. Using this structure, metrics Mean Squared Error (MSE) and mean absolute percentage error (MAPE) benchmark ate for seven indexes derived from data gathered by three factors related to the occurrence of weather conditions and other indicators of thermal comfort of human the system was evaluated. Assessment by dividing the data into training and testing parts, and the ratios have been of two-thirds, fifty percent and one-third And two benchmark MSE and MAPE were calculated. The proposed system performance in forecasting the human thermal comfort is desirable.
Alireza Entezari, Fatemeh Mayvaneh, Froogh Khazaeenejad,
Volume 20, Issue 56 (3-2020)
Abstract
The purpose of this research is to study the comfort conditions and determine the best measures for design and architecture compatible with the climate in Yazd. In this regard, the climatic data of Yazd city has been used in EPW format during the period (1981-2017). The results of the study of temperature and relative humidity also showed that temperatures of more than 38 ° C are visible in June and July. This suggests the need for a shadow in the architecture of the climate. In July, the discomfort conditions prevail over the entire day. From June to October (midday to midnight), midnight hours due to low humidity (38%) and high temperatures, conditions of discomfort and drought are very visible. The highest humidity is in the cold months of the year. In the wind hours of February to May (February to April), there is a discomfort. Also, according to the overall radiation pattern at different hours of the day, it was also shown that 25% of the daylight hours is very high and non-comfort, and 8% are in comfort conditions, which is more related to the cold weather of the year and the early hours And the end of the day. In general, due to the climate of Yazd city and the results of analysis, 20 strategies for architectural design have been used.
In general, due to the climate of Yazd city and the results of analysis, 20 strategies for architectural design have been used.
