Yousef Khoja - Jury poster. 04

Page 1

The first semester (Design + Research) project

Introduction

Achieving the highest levels of education and culture is a goal for all contemporary societies. The competition between contemporary societies is based on this basis, therefore, the need to review and continuously develop the educational systems and educational establishments was a necessity. The difficulties faced by contemporary societies are the large number of population densities and the increase in the need to provide education to all components of society and all people equally and fairly, but this increase in numbers. It also resulted in the need to develop educational facilities to accommodate these numbers and suit the current conditions of such communities. This increase is the lack of quality of the internal space in general and the lack of indoor air quality in particular. Educational performance and public health levels within these internal spaces, and many studies have shown that the rise of carbon dioxide in the classroom leads to health problems and affect the educational levels of the studen

Methods to reduce CO2 concentration in classrooms using hybird ventilation

7. Design Window alternative

1. Research objective

0.1 0.2

Development of the essential criteria to hybrid ventilation methods that can be considered in the improvement of IEQ of similar cases

0.4

0.4

0.4

0.3

0.4

CO2 , ppm (vol)

ppm

1200

0.4

1100 1000 900 800 700 600 500

25%

25%

50%

0.1

0.2

0.3

0.4

0.3

0.3

0.3

0.3

25%

Opening

100%

75%

400

CO2 , ppm (vol)

ppm 0.1 0.2

2. Research Method

0.3

0.4

1200 1100 1000 900 800

The methodology used for the work steps, from selecting the research sample to the final recommendations

700 600 500

25%

100%

75%

50%

400

50%

Research sample

50%

Opening

Analysis of the research sample

Description of the research sample

0.2

0.2

0.2

0.1

0.2

0.3

0.4

0.2

CO2 , ppm (vol)

ppm 0.1 0.2

0.3

0.4

1200 1100

Measurement

1000 900 800

Analysis of measurement results

Building simulation Model

Calibration

700 600

25%

500

100%

75%

50%

400

75%

Scenario

Opening 0.1

0.1

Find the best Scenario

0.1

75%

0.1

0.2

0.3

0.4

0.1 0.1 0.2

0.3

0.4

CO2 , ppm (vol)

ppm

1200 1100

Recommendations

1000 900 800 700

Guideline

600 500

50%

25%

75%

100%

100%

Indoor Environmental Quality

Temperature

ventilation

Natural ventilation

Design variables Improvement in the mechanical ventilation system

Opening

Lighting

Hybrid ventilation

Acoustics

100%

0.1

0.2

0.3

0.4

Materials

Mechanical ventilation

students Schedule

Improving natural ventilation methods

Change in lecture times

The best number of students at the same time in the classroom

8. Alternate window results Mean air temperature, Deg-C

Inflow , L/s + CO2

+ CO 2

Scheduling the current window

change windows geometry

400

ppm 1000

24

1000

950

900

Recommendations

3. Selected study cases

23.5

900

23

800

750

800

550

22.5

Case one Location: Building 535 King Abdulaziz University. Measurement date: 2019/10/7 Measurement times: 5 am - 5 pm. Facade: West Facade

700

700

350

22

600

21.5

500

21

5:00 AM

6:00AM

7:00AM

8:00AM

9:00AM

10:00AM

11:00AM

12:00PM

1:00PM

2:00PM

3:00PM

4:00PM

5:00PM

600

150 500

400

-50

5:00 AM

6:00AM

7:00AM

8:00AM

9:00AM

10:00AM

11:00AM

12:00PM

1:00PM

2:00PM

3:00PM

4:00PM

0.1+25

0.2+25

0.3+25

0.4+25

0.1+50

0.2+50

0.3+50

0.4+50

0.1+75

0.2+75

0.3+75

0.1+25

0.2+25

0.3+25

0.4+25

0.1+50

0.2+50

0.3+50

0.4+50

0.1+75

0.2+75

0.3+75

0.4+75

0.1+100

0.2+100

0.3+100

0.4+100

co2 0.1+ 25

0.2+25 co2

0.3 + 25 co2

0.4+25 co2

0.1+50 co2

0.2+50

0.4+75

0.1+100

0.2+100

0.3+100

0.4+100

co2 0.1+ 25

0.2+25 co2

0.3 + 25 co2

0.4+25 co2

0.1+50 co2

0.2+50

0.3+50

0.4+50

0.1+75co2

0.2+75 co2

0.3+75 co2

0.4+75co2

0.1+100co2

0.2+50 co2

0.3+100 co2

0.4+100 co2

0.3+50

0.4+50

0.1+75co2

0.2+75 co2

0.3+75 co2

0.4+75co2

0.1+100co2

0.2+50 co2

0.3+100 co2

0.4+100 co2

5:00PM

400

Inflow , L/s + ST

energy consump�on + CO2 ppm 220

31 950

1000

30 200 900

29

750

180

28 800

160

27

550

140

26

700

25

350

120 600

24 100

500

23

150

80

Classroom Interior Elevation

22

Classroom Plan

60

4. Measurement of study cases the measurements of CO2 concentrations in the indoor air perform in classroom university for one day and windows was closed during weekdays by using hobo mx CO2 logger measuring device the device took a reading every 10 minutes, floor area of the classroom are 7.5 * 9.14 m located in the second floor of the building , the measuring device placed in the center of the classroom in the height of 1.1m above the floor,using different ventilation systems by simulation using ida ice software

5:00 AM

6:00AM

7:00AM

8:00AM

9:00AM

10:00AM

11:00AM

12:00PM

1:00PM

2:00PM

3:00PM

4:00PM

5:00PM

400

-50

5:00 AM

6:00AM

7:00AM

8:00AM

12:00PM

1:00PM

2:00PM

3:00PM

4:00PM

0.3+25

0.4+25

0.1+50

0.2+50

0.3+50

0.4+50

0.1+75

0.2+75

0.3+75

0.1+25

0.2+25

0.3+25

0.4+25

0.1+50

0.2+50

0.3+50

0.4+50

0.1+75

0.2+75

0.3+75

0.4+75

0.1+100

0.2+100

0.3+100

0.4+100

co2 0.1+ 25

0.2+25 co2

0.3 + 25 co2

0.4+25 co2

0.1+50 co2

0.2+50

0.4+75

0.1+100

0.2+100

0.3+100

0.4+100

ST 0.1+ 25

0.2+ 0.25 ST

0.3 + 25 ST

0.4+25 ST

0.1+50 ST

0.2+50 ST

0.3+50

0.4+50

0.1+75co2

0.2+75 co2

0.3+75 co2

0.4+75co2

0.1+100co2

0.2+50 co2

0.3+100 co2

0.4+100 co2

0.3+50 ST

0.4+50 ST

0.1+75 ST

0.2+75 ST

0.3+75 ST

0.4+75 ST

0.1+100 ST

0.2+50 ST

0.3+100 ST

0.4+100 ST

5:00PM

21

9. Compare and analyze W1

W2

+

23

200 180 160 140 120 100 80 60 40 20 0

1000

600

400

0.2

22.8 22.6

800

22.4

700

22.2

600

22

500

21.8

400

21.6

300

21.4

200

21.2

100

21

0

W1

20.8 0

5:00 AM

6:00AM

7:00AM

8:00AM

9:00AM

10:00AM 11:00AM 12:00PM Series1

W2

1:00PM

2:00PM

3:00PM

4:00PM

1000

Series1

700

+

500 300

1.1m

0.2

0

50%

Classroom Interior Elevation

100

24

600

23.5

500

5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM

W1

W2

5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM

ppm

0

5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM Series1

Energy Consump�on

250 200

600 400

L/S

26

800

25

700

23

100

22

600 500 400 300

21 50

200 100

0

5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM Series1

200

20 5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM Series1

Series2

19

Series2

Series2

Air flows in zone

c

150

5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM Series1

Series2

24

500

75%

100

Series2

700

0

200

20.5

300

Calibration CO2 ,ppm

21.5

Mean air temperature

800

0.2

300

21

CO2 ,ppm

900

+

22

20

Air flows in zone

400

22.5

Series2

1000

5. Building simulation Model

23

Series1

Series2

700

200

0

Series1

L/S

c

50

200

Series1

Series2

24.5

100

400

-100 5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM

250

150

600

Air flows in zone

Mean air temperature

900 800

5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM

Series2

Energy Consump�on

CO2 ,ppm Surface temperatures

ppm

Series1

Series2

L/S

900

200

25%

Mean air temperature

c

Energy Consump�on

CO2 ,ppm

800

1400.

11:00AM

0.2+25

1200

total number of occupants : 40 measuring time and date : from 5:00AM to 5:00PM 10 oct 2019 CO2 level exceded the benchmark for 2H

10:00AM

0.1+25

ppm

PPM

9:00AM

100 0 5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM Series1

5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM Series1

21.96 21.89 21.88 22 22.54 23.35 24.45 25.15 23.63 22.05 22.03 21.94

Series2

CO2 ,ppm 1200.00

W1

1000

W2

1000 270

+

700

600.00

400

0.2

100%

200.00

W1

0.00

c

Mean air temperature

27

900 800

800.00

Energy Consump�on

ppm

220 170

600

120

500

70

26

20

860 760 660

24

560

23

460

22

20

Air flows in zone

960

25

21

400

L/S

360 260 160 60

W2

CO2 in classroom

6. Scenario 1 : Reschedule existing windows CO2 ,ppm 1200

1000

10. Recommendations

800

600

Opening 25%

11. Conclusion

400

Window schedule 200

opening hours

5:00AM

6:00AM

7:00AM

8:00AM

9:00AM

10:00AM 11:00AM 12:00PM

1:00PM

2:00PM

3:00PM

4:00PM

0

5:00PM

work hours

5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM 5:00PM

CO2 ,ppm 1200

By scheduling existing windows, ventilation can be improved in the classroom without significantly affecting thermal comfort in moderate climatic conditions.

1000

800

600

Opening 50%

400

Window schedule opening hours

5:00AM

6:00AM

7:00AM

8:00AM

9:00AM

10:00AM 11:00AM 12:00PM

200

1:00PM

2:00PM

3:00PM

4:00PM

5:00PM

0

work hours

ppm

5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM 5:00PM

CO2 ,ppm

1200

The hybird ventilation system has proven to be effective and can be an important tool for improving air quality in educational spaces

1000

800

Opening

600

75%

Improving the air quality in the current classroom is a very important requirement for raising the educational competence of students and ensuring the health of users

400

Window schedule 200

5:00AM

6:00AM

7:00AM

8:00AM

9:00AM

10:00AM 11:00AM 12:00PM

1:00PM

2:00PM

3:00PM

4:00PM

0

5:00PM

5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM 5:00PM

work hours

CO2 ,ppm 1200

Existing windows can be changed to windows suggested in the search

1000

800

600

Opening 100%

400

200

Window schedule

5:00AM

6:00AM

7:00AM

8:00AM

9:00AM

10:00AM 11:00AM 12:00PM

0

1:00PM

2:00PM

3:00PM

4:00PM

5:00 AM 6:00AM 7:00AM 8:00AM 9:00AM 10:00AM 11:00AM 12:00PM 1:00PM 2:00PM 3:00PM 4:00PM 5:00PM

It is best not to increase the number of students within the classroom until it is ensured that the quality of the space is not affected

5:00PM

work hours

The Department of Architecture (KAUARCH) Faculty of Architecture and Planning King Abdulaziz University

yousef m khoja Supervisor: Dr-Ing. Mohannad Bayoumi

This research focused on finding a solution to find ways to improve the quality of indoor air for educational classes through hybrid ventilation systems. As the research has shown us, hybrid methods for ventilation are a suitable solution and can be applied through existing windows or by developing better windows. These same methods can be used on other areas with a different climate Different from the one in which the study was held, as the research showed that increasing the number of students within the educational space may affect the quality of the educational space, which causes a decrease in the level of educational achievement and an increase in the level of health risk for students


ppm


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