Impact of Phase Change Materials on Cooling Demand of an Educational Facility in Cairo, Egypt

: Heat gains and losses via building envelopes are impacted by varied characteristics such as geometry, orientation, properties of the building materials, and the type of construction and its interface with the exterior environment. Current studies are investigating the use of phase change materials (PCMs) characterized by high latent heat and low thermal conductivity that may cause temperature time lag and reduce amounts of heat transferred through building envelopes. The prime objectives of this research are evaluating zones’ energy consumption by type for an educational facility in a dry arid climate, examining the effects of a PCM (RT28HC) and polyurethane insulating material, comparing these effects to the existing situation with respect to cooling energy savings and CO 2 emissions, and studying the effect of varying PCM thicknesses. The working methodology depended on gathering the real status and actual material of the building, constructing models of the building using Design Builder (DB) simulation software, and comparing the insulation effect of incorporating polyurethane and phase change insulating materials. A parametric study evaluated various PCM thicknesses (6, 12, 18, 24, 30, and 36 mm). Validation was performed primarily for a selected year’s energy usage; simulation results complied with ﬁeld measurements. The results revealed that an 18 mm PCM had a high efﬁciency regarding thermal comfort attributes, which reduced cooling energy by 17.5% and CO 2 emissions by 12.4%. Consequently, this study has shown the signiﬁcant potential of PCM regarding improved energy utilization in buildings.


Introduction
Fossil fuels have been the main energy sources used for electricity production over the past century [1].The building sector consumes 30-40% of the world's primary energy, which accounts for one-third of the world's greenhouse gases [2].The current building stock is widely acknowledged to be a significant contributor to overall energy consumption and associated carbon emissions worldwide [3].Energy saving has become an important topic in every county around the world, especially given the global energy crisis.In Egypt, due to the rise in population, there has been a high rate of domestic electricity consumption in recent years [4].Consequently, Egypt's GHG emissions, especially CO 2 gas, have gradually risen over the last decade as a result of its increasing reliance on fossil fuels.Egypt's CO 2 emissions reached 250 million tons in 2018 according to the European Commission et al. [5].If no initiatives to minimize CO 2 and other greenhouse gas emissions are taken, it is estimated that the average surface temperature of the Earth will increase 1.1-6.4• C by the end of 2100 [6].These indications motivated researchers to reduce buildings' energy consumption, which has become a critical problem worldwide.
One of the primary techniques for conserving energy in buildings is to use thermal insulation materials as a building envelope due to their low thermal conductivity.Different materials, such as solid panels, solid buckles, particles, sandwiches, and coils are widely utilized in various building components, such as external walls, roofs, floors, and doors.
Sustainability 2022, 14, 15956 2 of 14 Not only are these materials used in conventional buildings, but they can also be used in other types of buildings.Other substances.such as fiberglass [7], glass wool, polyethylene, expanded polystyrene, extruded polystyrene, cellulose [8], polyisocyanurate [9], mineral wool [10], wood wool [11], wood fiber [12], rock wool [13], and a variety of alternative materials can be used to improve building components' insulation.Despite preventing heat transmission, thermal insulation materials are unable to improve building envelopes' capacity for storing heat due to their poor thermal energy storage efficiency.
Recent studies showed the promising effect of using phase change materials (PCMs) to improve thermal performance and energy efficiency as an efficient energy conservation technique, given the significant quantity of latent heat absorbed/released [14].This significantly lowers buildings' cooling/heating demands, enhances thermal comfort for occupants, and plays a significant role in shifting the peak load [15].Khan et al. [16] studied the effects of PCM placement variation; their results showed optimum energy saving when it was inserted on the inner side of building elements.
PCMs are commonly integrated in different ways into building envelopes; their uses include sandwiching between outer and inner walls, filling brick absorption into concrete, impregnation in plaster boards, and embedding in plaster and mortar [17][18][19].Based on their chemical composition, PCMs can be divided into three subcategories: organic, inorganic, and non-organic eutectic compounds [20].Castell et al. [21] conducted a study in Spain, which has a hot arid climate similar to the weather in Cairo, Egypt.This study induced PCMs between brick wall layers; results showed savings in electrical consumption of 15% and reduced peak temperature throughout the building.In another study, Ascione et al. [22] were able to reduce overall energy consumption in summer by 11.7% as well as decrease summer discomfort hours by 215 using a PCM layer inside the external walls of an educational building.Xie et al. [23] proposed a precise thermodynamic investigation of five PCM wallboards in Beijing, China.They concluded that increasing the latent heat does not decrease energy consumption obtained by using PCM wallboard in the summer if the phase change melting and freezing points are less than that of interior air temperature.Saffari et al. [24] used a generic optimization technique to determine an optimal melting temperature for PCM placed inside a drywall structure in climate conditions that required cooling and heating.The results showed that in climates that require a high cooling load, a PCM melting point of approximately 26 • C (a range of 24-28 • C) saves more energy, whereas in heating dominated climates, the optimal melting point is closer to 20 • C (a range of 18-22 • C).
This research aimed to study the effect of a façade's thermal performance improvement on energy consumption for a large educational building located in a dry arid climate using polyurethane insulation material; compare its effect with that of various thicknesses of an organic PCM (RT28HC) [25]; and simulate the building using a DB simulation tool to evaluate the saving potentials for the PCM different thicknesses examined.As roofs can account for up to 32% of the horizontal surface of built-up areas and make a significant contribution to the heat gain in buildings [26], the effect of the PCM thickness in the walls and the roof on energy consumption for this building type were also analyzed in the facility under study.The building's energy savings and CO 2 emissions were subsequently studied regarding the incorporation of two types of insulation materials.

Materials and Methods
This study evaluated the energy consumption of the whole building at full capacity, followed by validation of actual energy consumption for the whole facility using a DB simulation tool.Next, the effects of using different thicknesses of PCM instead of traditional insulation material (50 mm thick) installed in walls were examined, followed by a parametric study of various PCM thicknesses installed in the walls and the roof.Figure 1 demonstrates the methodology implemented to reach the aim of this study.

Weather Data for the Case Study
An educational facility was used as a case study for the proposed assessment of PCM (RT28HC)'s and polyurethane insulation's abilities to decrease heat transfer into the building and thereby decrease its energy consumption and CO2 emissions.The building is located in Cairo, one of the largest cities in Africa, and the capital city of Egypt, which lies at longitude 31°14′58.81″E and latitude 30°3′45.47″N [27].According to Koeppen's classification of climate, Egypt generally has a hot, arid desert climate, with hot steppe climate features in the northern and eastern narrow coastal sections [26].The city of Cairo is typical of cities with arid, dry climates.Hourly weather data from the TMY (Typical Meteorological Year) prepared for Cairo, provided by ASHRAE, were used in the simulation to better represent the local weather.

Building Components
An educational building of the Arab Academy for Science, Technology and Maritime Transport (AASTMT), located in Cairo, was selected for analysis in this study (Figure 2).The case study was modeled and edited using DB software V6.1, as presented in Figure 3.All necessary data were inserted into the program.The building consists of five stories, each with a set of classrooms, offices, laboratories, and bathrooms, as demonstrated in Figures 4-8.According to the actual state of the building, all design data were established using a specific inspection and selection process, and were then used as input data for the simulation model.

Weather Data for the Case Study
An educational facility was used as a case study for the proposed assessment of PCM (RT28HC)'s and polyurethane insulation's abilities to decrease heat transfer into the building and thereby decrease its energy consumption and CO 2 emissions.The building is located in Cairo, one of the largest cities in Africa, and the capital city of Egypt, which lies at longitude 31 • 14 58.81E and latitude 30 • 3 45.47 N [27].According to Koeppen's classification of climate, Egypt generally has a hot, arid desert climate, with hot steppe climate features in the northern and eastern narrow coastal sections [26].The city of Cairo is typical of cities with arid, dry climates.Hourly weather data from the TMY (Typical Meteorological Year) prepared for Cairo, provided by ASHRAE, were used in the simulation to better represent the local weather.

Building Components
An educational building of the Arab Academy for Science, Technology and Maritime Transport (AASTMT), located in Cairo, was selected for analysis in this study (Figure 2).The case study was modeled and edited using DB software V6.1, as presented in Figure 3.All necessary data were inserted into the program.The building consists of five stories, each with a set of classrooms, offices, laboratories, and bathrooms, as demonstrated in Figures 4-8.According to the actual state of the building, all design data were established using a specific inspection and selection process, and were then used as input data for the simulation model.

Model Data and Occupancy
The construction layers of the most effective elements of the simulated building are presented in Table 1.The glazed facades varied between a 6 mm single blue layer and 6 mm double blue layers filled with air.The following building input data and assumptions were confirmed to be accurate.Population densities were 0.5 person per square meter for lecture rooms, 0.2 for laboratories, 0.55 for drawing halls, and 0.3 for administrative zones.The average floor area was 2400 m 2 .Metabolic rates differed based on location; for example, studying was assumed to have a standard metabolic rate or a light office work metabolic rate.A minimum fresh air of 12 L/s per person was available for all areas.The lighting units were set as fluorescent with a power density of 3.3 W/100 Lux.The office equipment was set to be on only in secretarial offices and printing rooms with power densities of 2.3 and 4.7 w/m 2 , respectively.The computers were set to be on in offices and computer labs with power densities of 5 and 30 w/m 2 , respectively.Energy demands differed based on a room's function; primary, for high-use computer laboratories; medium, for office areas; and comparatively low, for lecture rooms.The HVAC device used was separated into split air conditioning units as per the specific case study situation.The time step was 5 min, the cooling temperature was 24 °C, the cooling set back temperature was 28 °C, and the infiltration rate was 0.5 ac/h.Table 2 presents the occupancy for most zones in the building.

Model Data and Occupancy
The construction layers of the most effective elements of the simulated building are presented in Table 1.The glazed facades varied between a 6 mm single blue layer and 6 mm double blue layers filled with air.The following building input data and assumptions were confirmed to be accurate.Population densities were 0.5 person per square meter for lecture rooms, 0.2 for laboratories, 0.55 for drawing halls, and 0.3 for administrative zones.The average floor area was 2400 m 2 .Metabolic rates differed based on location; for example, studying was assumed to have a standard metabolic rate or a light office work metabolic rate.A minimum fresh air of 12 L/s per person was available for all areas.The lighting units were set as fluorescent with a power density of 3.3 W/100 Lux.The office equipment was set to be on only in secretarial offices and printing rooms with power densities of 2.3 and 4.7 w/m 2 , respectively.The computers were set to be on in offices and computer labs with power densities of 5 and 30 w/m 2 , respectively.Energy demands differed based on a room's function; primary, for high-use computer laboratories; medium, for office areas; and comparatively low, for lecture rooms.The HVAC device used was separated into split air conditioning units as per the specific case study situation.The time step was 5 min, the cooling temperature was 24 • C, the cooling set back temperature was 28 • C, and the infiltration rate was 0.5 ac/h.Table 2 presents the occupancy for most zones in the building.

Material Used
The first building simulation used current construction materials to validate energy consumption compared to the actual recorded readings from the measuring meters installed.The second simulation used polyurethane insulating material (one of the local materials available and approved by the Egyptian Code of practice (ECP-2010)).The PCM was placed on the innermost layers of external walls and the roof.This was followed by a set of simulations that used different thicknesses of the chosen PCM.To investigate the impact of PCM thickness (on the walls and the roof) on the building's energy consumption, six thicknesses (6 mm, 12 mm, 18 mm, 24 mm, 30 mm, and 36 mm) were tested.The PCM was selected based on the weather conditions in Cairo that allowed melting to occur; the paraffin PCM RT28HC ® is an organic PCM that is non-corrosive and compatible with other common building materials.The physical and thermal properties of this PCM are presented in Table 3.

Results and Discussion
Design Builder 6.1 was used to simulate different insulating materials, including current construction material, polyurethane insulating material, and PCM RT28HC with the thicknesses mentioned above.Simulation results were used to detect favorable and reliable means to reduce heat transfer into the educational building under study, and consequently reduce the electricity used and generated from non-renewable resources to try to achieve sustainability within the building's vicinity.

Model Evaluation and Validation
It was necessary to evaluate and validate the performance of the building under investigation before testing the effect of insulating materials for energy consumption saving purposes.
Figures 9-12 present the types of rooms and their associated energy consumptions as recorded for each floor to evaluate the full capacity scenario of the building and compare the energy consumption of each zone type.Despite having the same capacity and area, Figure 9 shows that classrooms used various amounts of energy due to variations in orientation; as a result, it is proposed that the scheduling of classes should prioritize classrooms with lower energy consumption.
Sustainability 2022, 14, x FOR PEER REVIEW 8 of 15 the energy consumption of each zone type.Despite having the same capacity and area, Figure 9 shows that classrooms used various amounts of energy due to variations in orientation; as a result, it is proposed that the scheduling of classes should prioritize classrooms with lower energy consumption.the energy consumption of each zone type.Despite having the same capacity and area, Figure 9 shows that classrooms used various amounts of energy due to variations in orientation; as a result, it is proposed that the scheduling of classes should prioritize classrooms with lower energy consumption.Despite the fact that all drawing halls had roughly equal capacities and areas, given the electrical consumption displayed in Figure 10, it is suggested that scheduling units prioritize drawing halls that had lower energy consumption due to their orientation towards the north, such as F1-1N, F2-1N, and F3-2N.
Various laboratory activities had a substantial influence on the amount of energy consumed due to different electrical devices present and according to their purposes (electrical, mechanical, chemical, and computer labs).Consequently, it would be advisable to locate labs with higher energy consumption (such as computer labs) in rooms F4-2W, F4-3E, and F1-1W, which used less energy, as shown in Figure 11.
Facilities located on the ground floor received less natural lighting.For that reason, electrical lamps could be turned on for over 12 h; thus, ground floor facilities consumed the highest amount of energy compared to the rest of the building's facilities.Figure 12 demonstrates the annual energy consumed per area for facilities located on the ground Despite the fact that all drawing halls had roughly equal capacities and areas, given the electrical consumption displayed in Figure 10, it is suggested that scheduling units prioritize drawing halls that had lower energy consumption due to their orientation towards the north, such as F1-1N, F2-1N, and F3-2N.
Various laboratory activities had a substantial influence on the amount of energy consumed due to different electrical devices present and according to their purposes (electrical, mechanical, chemical, and computer labs).Consequently, it would be advisable to locate labs with higher energy consumption (such as computer labs) in rooms F4-2W, F4-3E, and F1-1W, which used less energy, as shown in Figure 11.
Facilities located on the ground floor received less natural lighting.For that reason, electrical lamps could be turned on for over 12 h; thus, ground floor facilities consumed the highest amount of energy compared to the rest of the building's facilities.Figure 12 demonstrates the annual energy consumed per area for facilities located on the ground floor and the consumption percentage of the building's total energy consumption.The results show that the conference hall used less energy while having a large occupancy capacity, whereas the indoor restaurant, kitchen, library, and teaching assistant rooms used more electricity because they were used more frequently throughout the year and had highly powered electrical devices.

Model Validation
Several tests were carried out to ensure the accuracy of the building model with respect to interior spaces to prevent errors during the simulation.The reference building was modeled first for validation before testing the effect of the other proposed insulating materials.
The total energy consumption of the base model, which depends fully on electricity, was determined for validation using actual electricity bills and the building's schedules for 2021, as shown in Figure 13, which presents acceptable monthly errors that did not surpass 9% of the actual values.Any experimental study must include error analysis; therefore, it was essential to calculate the error for all measures.The computed root mean square error (RMSE) was 0.2364, which was considered acceptable.

materials.
The total energy consumption of the base model, which depends fully on electricity, was determined for validation using actual electricity bills and the building's schedules for 2021, as shown in Figure 13, which presents acceptable monthly errors that did not surpass 9% of the actual values.Any experimental study must include error analysis; therefore, it was essential to calculate the error for all measures.The computed root mean square error (RMSE) was 0.2364, which was considered acceptable.

Cooling Demand Efficiency and CO2 Emissions
Energy consumed by the building, which depends on electricity, was validated before using official recorded electricity bills to ensure accuracy.Although total energy consumption was validated, this paper focused on calculating cooling demand, which shows the thermal effect of the studied wall profile in compliance with the nature of Egypt's climatic conditions.Cooling demand was calculated for the three wall profiles (Figure 14) and different thicknesses of PCM used for both walls and the roof (Figure 15) over the four hot months (June-September) using the VAV system, which is a module of Energy Plus.The VAV system improved the indoor temperature to meet the indoor thermal comfort level by changing the supplied air temperature; Design Builder software can model and simulate PCMs directly, and owns Energy Plus as a computation kernel.Energy Plus can calculate the performance of a PCM using a finite difference algorithm.As shown in Figure 14, the PCM had a better performance compared to the polyurethane insulation material due to the PCM's thermal energy storage.For the PCM, the ambient temperature range was crucial to the effectiveness of energy conservation.In order to increase energy efficiency in summer, when latent heat affects the temperature time lag, it was necessary to lower the rates of heat transfer through PCM-integrated elements.

Cooling Demand Efficiency and CO 2 Emissions
Energy consumed by the building, which depends on electricity, was validated before using official recorded electricity bills to ensure accuracy.Although total energy consumption was validated, this paper focused on calculating cooling demand, which shows the thermal effect of the studied wall profile in compliance with the nature of Egypt's climatic conditions.Cooling demand was calculated for the three wall profiles (Figure 14) and different thicknesses of PCM used for both walls and the roof (Figure 15) over the four hot months (June-September) using the VAV system, which is a module of Energy Plus.The VAV system improved the indoor temperature to meet the indoor thermal comfort level by changing the supplied air temperature; Design Builder software can model and simulate PCMs directly, and owns Energy Plus as a computation kernel.Energy Plus can calculate the performance of a PCM using a finite difference algorithm.As shown in Figure 14, the PCM had a better performance compared to the polyurethane insulation material due to the PCM's thermal energy storage.For the PCM, the ambient temperature range was crucial to the effectiveness of energy conservation.In order to increase energy efficiency in summer, when latent heat affects the temperature time lag, it was necessary to lower the rates of heat transfer through PCM-integrated elements.CO2 emissions are often a significant result of burning fossil fuels to generate energy.Each material's use was measured in terms of the building's CO2 emissions in tons, as shown in Figures 14 and 15. Figure 14 presents the significant effect of using PCM to reduce energy consumption.The cooling energy consumed without a PCM was 253.8 MWh, versus 207 MWh when 36 mm thick PCM was used.Moreover, CO2 emissions decreased from 185.6 tons to 157.3 tons.Notably, increasing the PCM's thickness more than 18 mm added almost no value, as the increase in the PCM utilization ratio was unnoticeable.
Figure 16 shows the cooling energy saving efficiency for the studied wall profiles in the summer months, and Figure 17 shows the cooling energy saving efficiency for the studied PCM thicknesses in the walls and roof; energy saving efficiency was calculated using Equation (1).

Energy saving efficiency =
base case  selected case  base case where  base case = energy consumption of the reference model, and  selected case = energy consumption of the various cases.CO 2 emissions are often a significant result of burning fossil fuels to generate energy.Each material's use was measured in terms of the building's CO 2 emissions in tons, as shown in Figures 14 and 15. Figure 14 presents the significant effect of using PCM to reduce energy consumption.The cooling energy consumed without a PCM was 253.8 MWh, versus 207 MWh when 36 mm thick PCM was used.Moreover, CO 2 emissions decreased from 185.6 tons to 157.3 tons.Notably, increasing the PCM's thickness more than 18 mm added almost no value, as the increase in the PCM utilization ratio was unnoticeable.
Figure 16 shows the cooling energy saving efficiency for the studied wall profiles in the summer months, and Figure 17 shows the cooling energy saving efficiency for the studied PCM thicknesses in the walls and roof; energy saving efficiency was calculated using Equation (1).
Energy saving efficiency = E base case − E selected case E base case (1) where E base case = energy consumption of the reference model, and E selected case = energy consumption of the various cases.A PCM applied to an exterior wall improved energy saving efficiency, which reached up to 20% in June.However, the efficiency of polyurethane integrated with a wall profile was only 15.7% during same month, a slightly good efficiency given the large size of the building.For varied thicknesses of PCM in opaque elements (wall profiles and the roof), the 30 mm thickness' efficiency almost equaled that of 50 mm thick PCM in walls during summer, as roofs transmit a significant amount of heat.

Conclusions
The objectives of this study were to evaluate the energy consumption of an educational facility in a dry, arid climate; recommend occupancy priorities by scheduling unit; A PCM applied to an exterior wall improved energy saving efficiency, which reached up to 20% in June.However, the efficiency of polyurethane integrated with a wall profile was only 15.7% during same month, a slightly good efficiency given the large size of the building.For varied thicknesses of PCM in opaque elements (wall profiles and the roof), the 30 mm thickness' efficiency almost equaled that of 50 mm thick PCM in walls during summer, as roofs transmit a significant amount of heat.

Conclusions
The objectives of this study were to evaluate the energy consumption of an educational facility in a dry, arid climate; recommend occupancy priorities by scheduling unit; compare the efficiency of three wall profiles in Cairo during the summer season; and obtain the maximum thermoregulation and energy efficiency measured using Design Builder to provide thermal comfort.These investigations provided an exhaustive study in the summer months depending on energy cooling, cooling energy consumption reductions, and CO 2 emissions for the building as a whole.Often this led to a potential reduction in energy consumption for the entire building using the selected PCM.
The results show the importance of considering the energy evaluation of each zone in the building at full capacity status.The obtained results could be a guide for future academic scheduling; thus, more energy savings for the educational facility could be achieved.
Moreover, different thicknesses of PCM were investigated in wall profiles and the roof.Compared to the reference model, the cooling demand efficiency at 6 mm, 12 mm, 18 mm, 24 mm, and 36 mm PCM thicknesses were 9.20%, 13.3%, 16.00%, 17.50%, 18.8%, and 19.70%, respectively; this highlights the effect of PCM thickness on the cooling energy consumed.
Our results indicated that increasing PCM thickness more than 18 mm added almost no value, as the increase in the PCM utilization ratio was unnoticeable.However, increasing the PCM thickness increased the cooling energy efficiency.To help make a reliable recommendation, this study was followed up with an environmental impact (CO 2 ) assessment, which validated our results.Therefore, a PCM thickness up to 18 mm is recommended for educational facilities in Cairo.

Recommendation and Future Work
PCMs have shown very promising results in energy reduction in various types of buildings in different climatic conditions.In Egypt, various trials have produced such a material; however, further research is needed to produce a product with efficient energy

Figure 2 .
Figure 2. The investigated educational facility in Cairo, Egypt.

Figure 3 .
Figure 3.A 3D model of the educational facility under study.

Figure 3 .
Figure 3.A 3D model of the educational facility under study.

Figure 3 .Figure 2 .
Figure 3.A 3D model of the educational facility under study.

Figure 3 .
Figure 3.A 3D model of the educational facility under study.

Figure 9 .
Figure 9. Annual energy consumption per area for all classrooms and consumption percentage of the building's total energy consumption.

Figure 10 .
Figure 10.Annual energy consumption per area for drawing halls and consumption percentage of the building's total energy consumption.

Figure 9 .
Figure 9. Annual energy consumption per area for all classrooms and consumption percentage of the building's total energy consumption.

Figure 9 .
Figure 9. Annual energy consumption per area for all classrooms and consumption percentage of the building's total energy consumption.

Figure 10 .
Figure 10.Annual energy consumption per area for drawing halls and consumption percentage of the building's total energy consumption.

Figure 10 . 15 Figure 11 .
Figure 10.Annual energy consumption per area for drawing halls and consumption percentage of the building's total energy consumption.Sustainability 2022, 14, x FOR PEER REVIEW 9 of 15

Figure 11 .
Figure 11.Annual energy consumption per area for laboratories and consumption percentage of the building's total energy consumption.

Figure 11 .
Figure 11.Annual energy consumption per area for laboratories and consumption percentage of the building's total energy consumption.

Figure 12 .
Figure 12.Annual energy consumption per area for facilities and consumption percentage of the building's total energy consumption.

Figure 12 .
Figure 12.Annual energy consumption per area for facilities and consumption percentage of the building's total energy consumption.

Figure 13 .
Figure 13.Simulated and actual electricity consumption of the building.

Figure 13 .
Figure 13.Simulated and actual electricity consumption of the building.

Sustainability 2022 , 15 Figure 14 .
Figure 14.Cooling energy consumption and CO2 emissions during the summer months.Figure 14.Cooling energy consumption and CO 2 emissions during the summer months.

Figure 14 .
Figure 14.Cooling energy consumption and CO2 emissions during the summer months.Figure 14.Cooling energy consumption and CO 2 emissions during the summer months.

Figure 14 .
Figure 14.Cooling energy consumption and CO2 emissions during the summer months.

Figure 15 .
Figure 15.Cooling energy consumption and CO2 emissions during the summer months.

Figure 15 .
Figure 15.Cooling energy consumption and CO 2 emissions during the summer months.

Sustainability 2022 , 15 Figure 16 .
Figure 16.Cooling energy efficiency of the investigated wall profiles during the summer.

Figure 16 .
Figure 16.Cooling energy efficiency of the investigated wall profiles during the summer.

Figure 16 .
Figure 16.Cooling energy efficiency of the investigated wall profiles during the summer.

Figure 17 .
Figure 17.Cooling energy efficiency of the investigated PCM in walls and the roof during the summer.

Figure 17 .
Figure 17.Cooling energy efficiency of the investigated PCM in walls and the roof during the summer.

Table 1 .
Construction of the building envelope's main components.

Table 1 .
Construction of the building envelope's main components.

Table 2 .
Total number of hours of occupancy per room type in the building.