Feras Essam Balkhi - Jury poster. 03

Page 1

The first semester (Design + Research) project

Introduction This paper focuses on studying the classrooms indoor air quality of the preparatory year at King Abdulaziz University in Saudi Arabia. One of them is a classroom in an existing building in Jeddah that was taken as a research sample. the variables affecting the indoor air quality were measured and analyzed it by installing sensors to measure and record these variables in this classroom. After that research was done to determine the optimal range of these variables and compare them to check whether these results were within the optimal range of each variable or not. The results show that it is important to propose improvement measures to reduce CO2 concentrations and ensure thermal comfort. Users need to realize that the quality of the internal environment is important for their health, comfort and performance and efficiency.

INDOOR AIR QUALITY, "CASE STUDY"

MITIGATING CO2 CONCENTRATION IN CLASSROOMS USING ADJACENT CORRIDORS AND ATRIUMS

1. Research objective

5. Design Alternatives 5.2 Scenarios

Improve the indoor air quality of classrooms, by Mitigating CO2 concentration. Achieving guidelines to upgrade the quality of educational classrooms indoor spaces.

Management related (Schedule timeline)

Management related (Schedule timeline)

Management related (Schedule timeline)

3.1.1 A

3.1.1 A

01

3.1.1 A

02

03 Scenario 02 15 min. break

Current condition 10 min. break

CLASSROOM SCHEDULE SIMULATION DURING WORKDAY

CLASSROOM SCHEDULE PHYSICAL MEASUREMENT DURING WORKDAY

3. Research Method

10Min. 60Min.

3.1 Research factors

50Min.

01

02

3.1.1 Management related

Schedule timeline The current CO2 ratios, classroom occupancy times should be reconsidered by adjusting the sessions schedule of break timeline between classes, as break times reduce the Co2 concentration.

04

CLASS

10Min. 50Min.

05

CLASS

10Min. 50Min.

06

CLASS

07

BREAK

50Min.

50Min.

08

CLASS

15Min.

15Min.

10Min.

10Min.

50Min.

09

CLASS

60Min.

60Min.

10

01

OFF

CLASS

50Min.

50Min.

02

OFF

15Min. 50Min.

03

CLASS

15Min. 50Min.

04

CLASS

15Min. 50Min.

05

CLASS

CLASSROOM SCHEDULE SIMULATION DURING WORKDAY 15Min.

50Min.

06

CLASS

15Min.

07

BREAK

50Min.

50Min.

08

CLASS

09

CLASS

60Min.

10 OFF

CLASS

7:00

8:00

9:00

10:00

11:00

12:00

13:00

14:00

15:00

WORKDAY START

17:00

16:00

1600 ppm

1600 ppm

Space volume

1200 ppm

9:05

10:00

11:00

12:00

13:00

14:00

15:00

17:00

16:00

WORKDAY START

1800 ppm

1400 ppm

8:00

WORKDAY END

1800 ppm

3.1.2 C

5Min. 5Min. 50Min.

5Min. 50Min.

30Min.

50Min.

60Min.

01

02

03

04

05

06

04

08

09

04

08

09

10

OFF

CLASS

CLASS

BREAK

CLASS

BREAK

BREAK

CLASS

CLASS

BREAK

CLASS

CLASS

OFF

8:00

8:55

9:45

10:15

11:10

12:00 12:30

13:25

14:15 14:45

15:40

16:30

17:30

WORKDAY END

1000 ppm 800 ppm 600 ppm

400 ppm

400 ppm

200 ppm

0

5Min. 50Min.

30Min.

1200 ppm

600 ppm

200 ppm

5Min. 5Min. 50Min.

1400 ppm

800 ppm

400 ppm

5Min. 50Min.

30Min.

1600 ppm

1000 ppm

600 ppm

50Min.

1800 ppm

1200 ppm

800 ppm

50Min.

WORKDAY START

WORKDAY END

1400 ppm

1000 ppm

The size of the existing study spaces can be reviewed to be larger in size so that the space can accommodate higher oxygen ratios and less carbon dioxide.

7:00

5Min. 5Min.

5Min.

60Min.

7:00

3.1.2 Design related

3.1.1 A

10Min. 50Min.

03

CLASS

OFF

10Min. 50Min.

Scenario 03 5 min. break - 30 min. break

200 ppm

0

0

Scenario 01

Scenario 01

3.1.1 B

3.1.2 D

Occupants number

Mechanical systems

Co2 concentration can be reduced by reducing the number of students in the classroom, the large number of occupants in the indoor spaces increases the rates of Co2 concentration.

Scenario 02

Scenario 01

Redistribute the air inside the building during the working hours, by adding extensions linking the indoor public spaces in the building with classrooms to increase the control of the distribution of CO2 ratios. Management related (Occupants number)

Design related (Space volume)

3.1.1 B

3.1.2 C

C C 3.1.2

02

01

01

Design related (Space volume) Atrium zone 3 Space volume: 5,484.8 m

3.2 Methodology Floor area 4420m Solid and unventilated area 1346m2 Free ventileted area 3047m2 Classrooms area 1700m2

Discussion

Management variables

Students performance

Schedule

1600 1.06 m

1200

53

54

47

Atr. 36

zone 17

Atr. 24

zone 16

7:00

02

12:00

50Min.

50Min.

07

BREAK

10Min.

10Min. 50Min.

06

CLASS

11:00

10Min. 50Min.

05

CLASS

10:00

10Min. 50Min.

04

CLASS

9:00

10Min. 50Min.

03

CLASS

8:00

10Min. 50Min.

08

CLASS

13:00

14:00

60Min.

09

CLASS

10 OFF

CLASS

15:00

16:00

Classroom zone Space volume: 205.5 m3

17:00

WORKDAY END

WORKDAY START

ppm

600

44

46

ppm

32

zone 04

52

51

400 ppm

1.06 m

01

zone 19

zone 07

1.06 m

800

45

50Min.

OFF

ppm

1000

zone 15

Results

50

zone 11

zone 01

Conclusion and Recommendations

49

48

ppm

Scenarios

zone 02

200 ppm

0

42

All free spaces 3047m2 100% Classrooms area 1820m2 55.80% Corridors area 1346m2 44.20%

Students: 30 - Area: 68.5

Atrium

Current condition 01

41

40

zone 09

39

38

33

34

zone 18

43 35

33%

37

67%

Atrium zone

Total Mixed Volume Classroom Volume Allocated volume from corridors and atrium for each classroom

Corridor zone

Classroom zone

Scenario 02

Mechanical

Design variables

Research sample

57.5%

55

zone 08 zone 14

42.5%

zone 05

Suggested alternatives

Space volume

60Min.

56

zone 06

ppm

7.50 m

Aimed condition

31

9.14 m

Scenarios

Measurement

CORRIDORS SCHEDULE

10Min.

ppm

Space efficiency

Current situation Corridors and atriums

30

Occupants

Corridors zone Space volume: 1346 m3

HOURS DURING WORKDAY

1400

Current condition

Space volume: 2742.4m3 All vertical space: 5,484.8m3

2

According to the standard, the student number was reduced to 30 students in the classroom, we can notice a slight decrease in the CO2concentration level by 12.5%.

Evaluate

Scenario 03

Observations

Analyze

Findings

4. Case Analysis 4.1 Research sample

9.14 m

1.06 m

Classroom building 535 King Abdulaziz university Space volume: 205.5 m³

Design related (Space volume)

Design related (Space volume)

Design related (Space volume)

3.1.2 C

3.1.2 C Atrium 03

3.1.2 C

We observe a decrease in the concentration of CO it reach 2 882.48 ppm at its highest concentration point.

Comparing and analyize

02

1.06 m

7.50 m

We observe a decrease in the concentration CO it reach 946.23 2 ppm at its highest concentration point. Corridors zone Space volume: 51.77 m3PEAK

1.06 m

Classroom zone Space volume: 210 m3

New classroom zone Space volume: 313.65 m3

1400 ppm

1200

1000 ppm

800 ppm

1000

800 ppm 800

600 ppm

600 ppm

400 ppm

600

400 ppm

200 ppm

200 ppm

0

MEASUREMENT TOOL SPOT HEIGHT 1.10 m

1400

1200 ppm

1000 ppm

Atrium zone Space volume: 52.67 m3

Scenario 02

1400 ppm

1200 ppm

PLAN

Classroom 53

PEAK 882.48 ppm 10:20 am.

946.23 ppm 10:20 am.

400

Corridor

0

CALIBRATION

200

0

SCENARIO 01

7:00 7:20 7:40 8:00 8:20 8:40 9:00 9:20 9:4010:0010:2010:4011:0011:2011:4012:0012:2012:4013:0013:2013:4014:0014:2014:4015:0015:2015:4016:0016:2016:40

CALIBRATION

SCENARIO 01

SCENARIO 02

�ΔϠγϠγ

CALIBRATION

�ΔϠγϠγ

�ΔϠγϠγ

SCENARIO 01

�ΔϠγϠγ

CLASSROOM 53

ZONE 1

3.00 m

SECTION

4.2 Measurement and Simulation tools Design related (Mechanical system)

Design related (Mechanical system)

3.1.2 D

3.1.2 D

3.1.2 3.1.2 D 9.14 m

01

02

02 9.14 m

CLASSROOM SCHEDULE HOURS DURING WORKDAY

1.06 m

7.50 m

IDA ICE

1.06 m

7:00

10Min.

10Min.

10Min.

10Min.

10Min.

10Min.

60Min.

50Min.

50Min.

50Min.

50Min.

50Min.

50Min.

50Min.

01

02

03

04

05

06

07

08

OFF

OFF

Specific for measure CO2 concentration in air, temperature and relative humidity

1.06 m

1.06 m

Scenario 02 (Corridors and atriums) 15 min. break

10Min.

temperature and relative humidity

Design related (Mechanical system)

8:00

OFF

9:00

OFF

10:00

OFF

11:00

ON

12:00

OFF

13:00

14:00

09

10 OFF

OFF

15:00

17:00

16:00

CORRIDOR

PLAN

PLAN

TEMPERATURE CLASSROM ANALYSIS 0C TEMPERATURE(C) O

RELATIVE HUMIDITY (%)

O

70%

26C

68%

25 C

66%

24 C

64%

23 C

62%

22 C

60%

21 C

58%

2

zone 06

49

48 47

45 44

46

zone 11

50

53

Atr. 36

zone 04

41

40

54 zone 17

Atr. 24

32

52

zone 02

42

55

zone 08

zone 16 zone 19

zone 18

zone 07

RELATIVE HUMIDITY CLASSROM ANALYSIS

The basic concept of reducing the CO2 concentration in the interior spaces is to replace the air in the contaminated space with unpolluted air, but the problem is that if the indoor air is replaced by the air from outdoor the internal temperature will increase which affects the thermal comfort of the occupants.

56

zone 15

Since there are low users densities in some of the internal spaces such as the corridors and atriums, the problem can be avoided by using the air switch between the spaces are usually occupied only for short times (breaktimes period) and spaces with high intensity of use (as the classrooms). This will achieve the goal of reducing CO2 pollution without increasing electrical energy consumption by conditioning outdoor air.

Scenario 01

31

zone 01

4.3 Measurement analysis

30

zone 05

Using the simulation software, all the spaces on one of the building floors will be opened to each other to verify the effectiveness of the proposed solution.

WORKDAY END

zone 14

WORKDAY START

60Min.

50Min.

OFF

Applying the proposed solution idea by using the simulation program

1.06 m

SIMULATION

1.06 m

MEASUREMENT

51

zone 09

39

38

33

43

34

35

37

O

O

O

O

0 :0

DAY TIME

COMFORT TEMPERATURE

O

17

17

:0

0

O

DAY TIME

RELATIVE HUMIDITY HIGHEST LEVEL STANDARD

RELATIVE HUMIDITY (%)

TEMPERATURE(C)

Psychrometric chart

CLASS OFF

Absolute humidity (kg/kg) Relativ e humidity (%) 100

90

80

70

60

50

40 0.0550

The two most important variables affecting the thermal comfort in the classroom temperature and relative humidity. The data average readings were shown on the Psychrometric chart to determine whether the results were within the range of thermal comfort zone or not.

30

0.0500

40

0.0450

0.0350

Observations

0.0300

As shown the in the diagram, data avearge is placed in the comfort zone.

30 0.0250

COMFORT ZONE DATA AVERAGE

0.0200

25

Max. 2000 ppm

02

Min. 400 ppm

Max. 2000 ppm

5

10

15

20

25

30

35

40

45

50

55

60

65

Wet bulb temperature Comfort zone

We notice the highest value of CO2 concentration levels in educational spaces reach 2008 ppm.

32

52

zone 02

42

41

40

39

51

zone 09

38

33

34

zone 19

zone 18

43 35

37

49

48 47

45 44

46

zone 11

50

53

Atr. 36

zone 04

52

zone 02

42

41

40

39

zone 17

Atr. 24

32

54

51

zone 09

38

33

34

zone 16 zone 19

zone 18

43 35

37

30

31

56

zone 06

49

48 47

45 44

46

zone 11

50

53

Atr. 36

zone 04

32

41

40

39

54 zone 17

Atr. 24

52

zone 02

42

55

zone 08

51

zone 09

38

33

34

End 12:00 am.

CO2 CONCENTRATION (ppm)

1400 ppm

6. Recommendations

1200 ppm

1000 ppm

The charts show a high increase in CO2 concentrations in the working day due to the classroom is full by students. Consequently, the carbon dioxide emissions due to students congestion increase to a concentration level of 1270 ppm, which causes complaints of drowsiness and poor air.

800 ppm

In

600 ppm

conclusion, the following recommendations are presented based on the above research, study and analysis:

400 ppm

200 ppm

0 ppm

17 :0 0

Observations

DAY TIME

CLASS OFF

CO2 STANDARD

WORKDAY CO2 LEVEL

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

1- Taking into account during the design that the Spaces should be designed with dimensions and sizes commensurate with their uses. 2- Changing the scheduling of students ’sessions times and break times. 3- Reducing the number of students in the single educational space, in proportion to its size. 4- Improving the mechanical systems of building conditioning and ventilation to allow more fresh air to enter the air conditioning cycle. 5- Adding windows between the interior spaces of the building that allows air exchange between educational spaces and general corridor spaces when the indoor air quality decreases to reduce energy waste when opening the external windows.

Feras Essam Balkhi Supervisor: Dr-Ing. Mohannad Bayoumi

zone 18

43 35

CO2 Concentration Starting PEAK 9:50 am. 1270 ppm 10:30 am.

zone 16 zone 19

zone 07

0

zone 04

zone 17

Atr. 24

zone 16

Scenario 04 Space CO2 30 799.3 31 794.1 32 788.6 33 798 34 798.3 35 798.3 37 798.3 38 793.7 39 793.7 40 793.7 41 793.7 42 804.2 43 805 44 797.3 45 854.2 46 826.7 47 826.7 48 880.8 49 795 50 787.2 51 798.1 52 791.1 53 797.2 54 795.1 55 806.2 56 800.8 Zone 01 795.4 Zone 02 802.2 Zone 04 751.6 Zone 05 829.1 Zone 06 807.7 Zone 07 964.5 Zone 08 908.5 Zone 09 869.6 Zone 10 793 Zone 11 747.2 Zone 14 988.4 Zone 15 1015 Zone 17 1024 Zone 16 1088 Zone 18 1009 Zone 19 965.1 Atr. 24 750 Atr. 36 735.6

Max. 2000 ppm

zone 15

Relative humidity

-5

Atr. 36

54

55

zone 08

When applying the idea in the simulation program to an entire floor of the building and opening the spaces to each other according to the following variables data (the maximum capacity of the educational spaces - the timing and duration of break times equal 15 minutes between each two sessions) after that if we add some mechanical solutions (As an example CO2 sensors & VAV HVAC systems) the results are shown as follows

Min. 400 ppm

zone 01

-10

44

46

53

zone 06

02 03

zone 05

Absolute humidity

-15

45

50

56

zone 07

-20

47

zone 11

31

zone 15

0.0000

49

48

55

zone 08

30

zone 01

Observation

-5 -10

zone 06

We notice a decrease in the highest value of the CO2 concentration in educational spaces from 2008 ppm to 1509 ppm, and this is a good improvement. Looking at the average values of CO2 concentration levels in educational spaces, we find that it's generally decreased by 13.2%.

Scenario 02 Space CO2 30 1150 31 1277 32 1182 33 1317 34 1318 35 1318 37 1318 38 1300 39 1299 40 1299 41 1299 42 1418 43 1419 44 1287 45 1509 46 1459 47 1459 48 1414 49 1274 50 1147 51 1303 52 1200 53 1208 54 1290 55 1402 56 1297 Zone 01 974 Zone 02 1064 Zone 04 981 Zone 05 1123 Zone 06 1037 Zone 07 1087 Zone 08 1087 Zone 09 1109 Zone 10 1092 Zone 11 953.8 Zone 14 1088 Zone 15 1127 Zone 17 1193 Zone 16 1113 Zone 18 1111 Zone 19 1056 Atr. 24 961.4 Atr. 36 945.2

zone 05

0

Wet bulb temperature (°C)

56

zone 07

0.0050

31

zone 15

10 5

30

zone 01

0.0100

15

When entering the variables into the simulation program for an entire floor of the building based on the following data (the maximum capacity of the educational spaces - the timing and duration of the break times is equal to 15 minutes between every two sessions) the results appear as follows.

Observation

zone 05

Temperature: 22.25 C Relative humidity: 66.5%

Current condition

Scenario 01 Space CO2 30 1455 31 1455 32 1446 33 1455 34 1455 35 1455 37 1455 38 1455 39 1455 40 1455 41 1455 42 1513 43 1513 44 1455 45 1840 46 1653 47 1653 48 2008 49 1455 50 1455 51 1455 52 1455 53 1455 54 1455 55 1513 56 1455 Zone 01 796.6 Zone 02 796.7 Zone 04 727.9 Zone 05 846.4 Zone 06 804.2 Zone 07 978.4 Zone 08 933.2 Zone 09 922.8 Zone 10 805.7 Zone 11 729.8 Zone 14 979.4 Zone 15 1006 Zone 17 1076 Zone 16 1017 Zone 18 1015 Zone 19 965.3 Atr. 24 732.1 Atr. 36 706.3

CO2 concentration

3.1.2 D

CO2 concentration

zone 14

20 o

Dry bulb temperature

Min. 400 ppm

zone 14

0.0150

-25

3.1.2 D

CO2 concentration

zone 14

10

-40 -35 -30 Dry bulb temperature (°C)

Design related (Mechanical system)

0.0400

20

Data taken 13.OCT.2019

3.1.2 D

01 35

Data average

Design related (Mechanical system)

Design related (Mechanical system)

37


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