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Sustainability by Design:

A Vision for Ateneo’s SHS Classroom as a Climate-Friendly Architectural Showcase

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Members:

Clark Joseph R. Berganio, Jose Antonio D. Obillo, Remigio Calvin C. Panlaqui III, Hynz Kristian T. Reotutar, Joshua Jules A. Silva, Enrique Mateo A. Vera, Summer Caitlin L. Tan, Conrado B. Zabella III

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Sustainability by Design: A Vision for Ateneo’s SHS Classroom as a Climate-Friendly Architectural Showcase

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ABSTRACT

Due to rising global temperatures, students around the Ateneo Senior High School have their cognitive abilities affected by the heat. This study addresses this problem by enhancing the airflow within the classrooms of students. The main factors concerning airflow are air velocity, ventilation, window type, and furniture layout. This study employed anemometers in the classrooms to get airflow readings of the environment. Models of the classrooms were then made in AutoCad which were then imported to SOLIDWORKS, a program that conducts advanced computational fluid dynamics (CFD) analyses. The data from the anemometer testing was imported into SOLIDWORKS which showed that the normal seating arrangement (NSA) modified classroom is the most optimal at regulating temperature at a lesser time and showed uniformity in air temperature distribution.

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INTRODUCTION

This research addresses the critical need for optimizing classroom designs to enhance airflow and thermal comfort, particularly in the context of the Ateneo Senior High School (ASHS) building in the Philippines. Rising global temperatures necessitate effective ventilation systems for the well-being and cognitive function of students and teachers. Despite the prevalence of electromechanical ventilation, schools like ASHS face limitations in providing optimal cooling. This study aims to bridge this gap by proposing classroom modifications that balance natural and electromechanical ventilation which aims to create affordable, sustainable, and ergonomic classrooms, positively impacting the learning environment.

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Base Template: STEM C Technical Committee Editing: Samantha Abrenica & Maurice Casaje

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Sustainability by Design: A Vision for Ateneo’s SHS Classroom as a Climate-Friendly Architectural Showcase

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REVIEW OF RELATED LITERATURE

This literature review has considered the most essential components of the study: 1). Factors of Temperature, Airflow, Comfortability, and Cognitive Function 2). Effects of Poor Temperature, Airflow, Comfortability, and Cognitive Function. These sections were gathered by examining past studies that tested the effectiveness of specific architectural design techniques and factors.

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Factors of Temperature, Airflow, Comfortability, and Cognitive Function

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Air velocity, a factor of temperature and comfortability, is the speed of air moving around within a room set-up[1,5] . Ventilation, another factor, is the exchange of letting in cleaner air and releasing polluted indoor air to provide optimal thermal conditions. Window type and its placements largely influences room ventilation and airflow distribution. Furniture layout also affects airflow in a room set-up as it can also affect the movement of air in a room.

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Effects of Poor Temperature, Airflow, Comfortability, and Cognitive Function

Due to global warming, among the most affected are the students of ASHS, both mentally and physically. Poor airflow has caused the temperature to drop which hinders the cognitive abilities of the students and leads to a tangible decline in their physical well-being.

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Base Template: STEM C Technical Committee Editing: Samantha Abrenica & Maurice Casaje

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Sustainability by Design: A Vision for Ateneo’s SHS Classroom as a Climate-Friendly Architectural Showcase

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METHODOLOGY

The study employed an array of instruments, including anemometers, AutoCAD, and SOLIDWORKS Flow Simulation, to gather and analyze data. Anemometers measure wind speed, direction, and temperature in selected classrooms, providing quantitative insights. Data collections were conducted in a true to life scenario while students were still occupying the classrooms within the day (7:30-8:30 am, 12:00-12:50 pm, 3:40-4:40 pm). AutoCAD facilitated 3D modeling of classrooms, while SOLIDWORKS Flow Simulation conducted advanced computational fluid dynamics (CFD) analyses. The pre-modeling phase involved collecting real-world data, with subsequent simulations

considering variations in ventilation and furniture layouts. Originally, seven different classrooms were modeled, but due to time constraints and limitations only 1 was produced. Simulations were conducted with varying airflow rates. Data analysis included operative temperature, air pressure, room air temperature, and airflow indices. Thermal and aerodynamic analyses were carried out to assess the impact of design flow patterns. From all of the different factors and studies that were considered by the researchers, 3 classroom set-ups were created; the original baseline classroom (OBC), Normal Seating Arrangement (NSA), and U-shaped seating arrangement (USA). The NSA and USA set-ups share the same modified windows and grills but only differ in the seating arrangement.

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considering variations in ventilation and furniture layouts. Originally, seven different classrooms were modeled, but due to time constraints and limitations only 1 was produced. Simulations were conducted with varying airflow rates. Data analysis included operative temperature, air pressure, room air temperature, and airflow indices. Thermal and aerodynamic analyses were carried out to assess the impact of design flow patterns. From all of the different factors and studies that were considered by the researchers, 3 classroom set-ups were created; the original baseline classroom (OBC), Normal Seating Arrangement (NSA), and U-shaped seating arrangement (USA). The NSA and USA set-ups share the same modified windows and grills but only differ in the seating arrangement.

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Sustainability by Design: A Vision for Ateneo’s SHS Classroom as a Climate-Friendly Architectural Showcase

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RESULTS AND DISCUSSION

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Based on the results that have been recorded, there has been a significant amount of evidence that remodeling is a must. With the use of SOLIDWORKS Flow Simulation, the baseline classroom, without the modifications in place (refer to fig. 1), the results showed that the air temperature distribution is uneven and largely dependent on the windows where air goes in. With the increment height in the room, the indoor temperature gradually increases. The lowest temperature appears near the windows, and the highest temperature appears at the top of the room which is furthest from the windows. This indicates that the ventilation by the

windows heavily influences the indoor temperature. Furthermore, in the NSA modified

classroom (refer to fig. 2), the air temperature distribution is relatively lower compared to the baseline and shows uniformity. The trend shows a decrease in the overall internal temperature as the temperature gradually becomes even. The air distribution for the USA Modified Classroom (refer to fig. 3) showed that around the right side is lower than that around the left side. Comparing this result to the NSA modified Page 3 of 30 classroom, the air temperature distribution in the upper zone is visibly different. It indicated that converging furniture on the sides of the classroom increases the indoor temperature and affects the distribution negatively due to the higher traffic if applied to real world scenarios.

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classroom (refer to fig. 2), the air temperature distribution is relatively lower compared to the baseline and shows uniformity. The trend shows a decrease in the overall internal temperature as the temperature gradually becomes even. The air distribution for the USA Modified Classroom (refer to fig. 3) showed that around the right side is lower than that around the left side. Comparing this result to the NSA modified Page 3 of 30 classroom, the air temperature distribution in the upper zone is visibly different. It indicated that converging furniture on the sides of the classroom increases the indoor temperature and affects the distribution negatively due to the higher traffic if applied to real world scenarios.

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Base Template: STEM C Technical Committee Editing: Samantha Abrenica & Maurice Casaje

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Sustainability by Design: A Vision for Ateneo’s SHS Classroom as a Climate-Friendly Architectural Showcase

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CONCLUSION/RECOMMENDATION

There are numerous factors affecting airflow within the classroom setup which can be improved upon. In the Philippine context, natural ventilation is a priority in room designs. According to the simulations, the USA with single casement windows using a cross ventilation setup is optimal for maximum airflow.

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For recommendations, it is necessary that other classroom factors must be modified to experiment with the airflow within the classroom. Further study and research must be conducted to continue the remodeling and modification of the 6 classrooms left. In terms of modification, the dimensions of the classroom, the direction of the building, window size, fan placement, structural integrity, and the wall material must be considered for future studies.

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REFERENCES

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1 - Balbis-Morejón M, Rey-Hernández JM, Amaris-Castilla C, Velasco-Gómez E, San José-Alonso JF, Rey-Martínez FJ. 2020. Experimental Study and Analysis of Thermal Comfort in a University Campus Building in Tropical Climate. Sustainability. 12(21):8886. doi:https://doi.org/10.3390/su1221888 6.

2 - Jahan Talukdar, M. S., Talukdar, T. H., Singh, M. K., Baten, M. A., & Hossen, M. S. (2020). Status of thermal comfort in naturally ventilated university classrooms of Bangladesh in hot and humid summer season. Journal of Building Engineering, 101700. doi:10.1016/j.jobe.2020.101700 3 - Kyritsi E, Michael A. 2020. An assessment of the impact of natural ventilation strategies and window opening patterns in office buildings in the mediterranean basin. Building and Environment. 175:106384. doi:https://doi.org/10.1016/j.buildenv. 2019.106384.

4 - Luo M, Cao B, Ji W, Ouyang Q, Lin B, Zhu Y. 2016. The underlying linkage between personal control and thermal comfort: Psychological or physical effects? Energy and Buildings. 111:56–63. doi:https://doi.org/10.1016/j.enbuild.2 015.11.004.

5 - Mazlan AN, Saad S, Yahya K, Haron Z, Abang Hasbollah DZ, Kasiman EH, Rahim NA, Salehudddin AM. 2020. Thermal comfort study for classroom Page 5 of 30 in urban and rural schools in Selangor. IOP Conference Series: Materials Science and Engineering. 849(1):012016. doi:https://doi.org/10.1088/1757-899x /849/1/012016.

6 - Santamouris M, Synnefa A, Asssimakopoulos M, Livada I, Pavlou K, Papaglastra M, Gaitani N, Kolokotsa D, Assimakopoulos V. 2008. Experimental investigation of the air flow and indoor carbon dioxide concentration in classrooms with intermittent natural ventilation. Energy and Buildings. 40(10):1833–1843. doi:https://doi.org/10.1016/j.enbuild.2 008.04.002.

7 - Tantasavasdi, C., Srebric, J., & Chen, Q. (2001). Natural ventilation design for houses in Thailand. Energy and Buildings, 33(8), 815–824. doi:10.1016/s0378-7788(01)00073-1

8 - Yin X, Muhieldeen MW, Ruzaimah Razman, Yong J. 2023. Multi-objective optimization of window configuration and furniture arrangement for the natural ventilation of office buildings using Taguchi-based grey relational analysis. Energy and Buildings. 296:113385–113385. doi:https://doi.org/10.1016/j.enbuild.2 023.113385.

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Base Template: STEM C Technical Committee Editing: Samantha Abrenica & Maurice Casaje

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APPENDIX

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TABLE 1. Detail of Classroom















Detail of Chamber

Specifications

Classroom Size

Area of the Classroom

Ceiling Material

Wall Material

Floor Material

Position of Opening

TABLE 2. Legend

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Base Template: STEM C Technical Committee Editing: Samantha Abrenica & Maurice Casaje

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APPENDIX

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TABLE 3b. Realino Temperature

TABLE 3a. Realino Wind Speed

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Base Template: STEM C Technical Committee Editing: Samantha Abrenica & Maurice Casaje

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APPENDIX

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TABLE 3c. Realino Humidity

Figure 1. Flow Simulation of the Baseline Classroom at 5 and 30 minutes

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Base Template: STEM C Technical Committee Editing: Samantha Abrenica & Maurice Casaje

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APPENDIX

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Figure 2. Flow Simulation of the NSA Modified Classroom at 5 and 30 minutes

Figure 3. Flow Simulation of the USA Modified Classroom at 5 and 30 minutes

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Base Template: STEM C Technical Committee Editing: Samantha Abrenica & Maurice Casaje

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APPENDIX

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Figure 4. Heat Exchange Simulation of the Modified Classroom (NSA-left; USA-right)

Figure 5. Changes in indoor average temperature depending on the time at various classrooms

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Base Template: STEM C Technical Committee Editing: Samantha Abrenica & Maurice Casaje