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Figure 5. Interzone air flow rate (m*.h''), 1 January 08h00

Figure 5 Interzone air flow rate (m*.h''), 1 January 08h00

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Se ee Cee eS See ee ee ee The studied building consists of a concrete-brick structure and an air gap. The height of the building is 7.5m. A 10.5 m’ glass surface is located on the four facades i.e west, south, east and north. This building is located in Tangier city in Morocco which is characterized by a hot Mediterranean climate. According to occupation scenario, it is occupied five times a day for a shirt period (one hour). The height of the occupation zone is 1.8 m that corresponds to the occupant high. 2.2. Thermal Model
Se ee Cee eS See ee ee ee The studied building consists of a concrete-brick structure and an air gap. The height of the building is 7.5m. A 10.5 m’ glass surface is located on the four facades i.e west, south, east and north. This building is located in Tangier city in Morocco which is characterized by a hot Mediterranean climate. According to occupation scenario, it is occupied five times a day for a shirt period (one hour). The height of the occupation zone is 1.8 m that corresponds to the occupant high. 2.2. Thermal Model
The general methodology of coupling is as follows: CONTAM need the zone temperature as the input data that provided by Type 56- in TRNSYS simulation tool. At the same time Contam provides air flowrate between zones to Type 56 to calculate the convection heat transfer model.
The general methodology of coupling is as follows: CONTAM need the zone temperature as the input data that provided by Type 56- in TRNSYS simulation tool. At the same time Contam provides air flowrate between zones to Type 56 to calculate the convection heat transfer model.
3. Result and discussion IOP Conf. Series: Materials Science and Engineering 609 (2019) 042090 doi:10.1088/1757-899X/609/4/042090 EN I II ES ge EEE IIE IEE The airflow between the areas within the building is shown in Figure 5. The result shows that the largest interzone flow occurs in the middle of the building’s height: Cell-07 to Cell-11. This airflow increase is explained by the entrance of significant outside air density through window openings. This air flow rate decreases gradually until the last air node (Cell-15). It can be concluded that taking into account the thermal stratification gives results with better accuracy in the case of the presence of large openings (10.5m2).
3. Result and discussion IOP Conf. Series: Materials Science and Engineering 609 (2019) 042090 doi:10.1088/1757-899X/609/4/042090 EN I II ES ge EEE IIE IEE The airflow between the areas within the building is shown in Figure 5. The result shows that the largest interzone flow occurs in the middle of the building’s height: Cell-07 to Cell-11. This airflow increase is explained by the entrance of significant outside air density through window openings. This air flow rate decreases gradually until the last air node (Cell-15). It can be concluded that taking into account the thermal stratification gives results with better accuracy in the case of the presence of large openings (10.5m2).
Figure 6. Air temperature profiles in building, vertical distribution-Occupancy impact The four cases of occupation show similar results with a maximum average temperature difference of 0.9 ° C and 0.58 ° C respectively in each cell during peak periods of the year, i.e. in January for the winter and in July for the summer. Figure 7 shows the impact of the occupation pattern on the dynamic temperature for a typical day of summer. The internal temperature of the building with 40 occupants presents the same tendency of the external temperature with a maximum difference of 1°C. This behaviour can be explained by the presence of occupants within the building, as well as the building thermal inertia. It is important to note that the increase in occupancy from 40 to 280 persons increases significantly the interior temperature of the building of about 3°C.
Figure 6. Air temperature profiles in building, vertical distribution-Occupancy impact The four cases of occupation show similar results with a maximum average temperature difference of 0.9 ° C and 0.58 ° C respectively in each cell during peak periods of the year, i.e. in January for the winter and in July for the summer. Figure 7 shows the impact of the occupation pattern on the dynamic temperature for a typical day of summer. The internal temperature of the building with 40 occupants presents the same tendency of the external temperature with a maximum difference of 1°C. This behaviour can be explained by the presence of occupants within the building, as well as the building thermal inertia. It is important to note that the increase in occupancy from 40 to 280 persons increases significantly the interior temperature of the building of about 3°C.
Figure 7. Air temperature profiles in building
Figure 7. Air temperature profiles in building
Figure 8. Air temperature profiles in building, vertical distribution-lighting impact ‘igure 9. Cooling and heating degree hour according to the occupancy number IOP Conf. Series: Materials Science and Engineering 609 (2019) 042090 doi:10.1088/1757-899 X/609/4/042090
Figure 8. Air temperature profiles in building, vertical distribution-lighting impact ‘igure 9. Cooling and heating degree hour according to the occupancy number IOP Conf. Series: Materials Science and Engineering 609 (2019) 042090 doi:10.1088/1757-899 X/609/4/042090
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