natural ventilation theatre2

1
CFD analysis of temperature in the cafe on July 15, from 1-2pm The temperatures provided by the model were averages of the space. The CFD analysis shows that the temperatures in the occupied zones are different from the areas towards the ceiling of the café. This provides a limitation to our model – the café’s occupied zone was not separated from the unoccupied zones, thereby increasing any tem- perature peaks. Table 2: Theatre CO2 concentration levels for models 5 - 12 CO 2 concentrations MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11 above 1500 576 30 34 25 32 60 61 56 total 2920 2920 2920 2920 2920 2920 2920 2920 % above 19.73% 1.03% 1.16% 0.86% 1.10% 2.05% 2.09% 1.92% CFD analysis of temperature in the theatre on July 15, from 1-2pm Temperatures in the theatre vary by the same amount, which is expect- ed due to the theatre’s height. There are about 2OC of variation between the temperatures from the lower to the upper levels of the theatre. CFD simulation of CO2 concentration levels on July 15. CO2 concentrations are above 1500ppm 1.92% of the operating hours in the year, as shown by Table 2. The CFD analysis of CO2 concentrations show that the higher concentrations of CO2 can be found on the higher levels, towards the ceiling of the theatre, in red. The occupied levels of the theatre have CO2 concentrations ranging from about 550 – 950ppm. These numbers show that lighting loads are very high for the building. The lighting strategy could be improved by light sensors in the switches in the café, as it benefits from significant levels of natural lighting. SUMMER NIGHT-VENTILATION STRATEGY 1.CROSS VENTILATION in both the cafe and theatre 2.STACK VENTILATION in the theatre for pre-cooling in the morning ±0.00 GROUD LEVEL CAFE-RECEPTION +3.70 THEATRE -0.20 THEATRE -2.90 STAGE BACK STAGE +3.70 CAFE LEVEL +9.90 TOP ROOF LEVEL +12.90 TOP STACK LEVEL -0.20 THEATRE LEVEL -2.90 THEATRE LEVEL ±0.00 GROUD LEVEL +3.70 CAFE LEVEL +9.90 TOP ROOF LEVEL +12.90 TOP STACK LEVEL -0.20 THEATRE LEVEL -2.90 THEATRE LEVEL CAFE-RECEPTION +3.70 THEATRE -0.20 STAFF CORRIDOR GUEST CORRIDOR 2. 2. 1. WINTER VENTILATION STRATEGY 1.CROSS VENTILATION in the cafe during the operating time 2.STACK VENTILATION in the theatre to decrease carbon dioxcide concentration 1. 2. 1. ±0.00 GROUD LEVEL +3.70 CAFE LEVEL +9.90 TOP ROOF LEVEL +12.90 TOP STACK LEVEL -0.20 THEATRE LEVEL -2.90 THEATRE LEVEL CAFE-RECEPTION +3.70 THEATRE -0.20 STAFF CORRIDOR GUEST CORRIDOR 2. ±0.00 GROUD LEVEL CAFE-RECEPTION +3.70 THEATRE -0.20 THEATRE -2.90 STAGE BACK STAGE +3.70 CAFE LEVEL +9.90 TOP ROOF LEVEL +12.90 TOP STACK LEVEL -0.20 THEATRE LEVEL -2.90 THEATRE LEVEL SUMMER VENTILATION STRATEGY 1.CROSS VENTILATION in the cafe during the operating time to ventilate the air and reduce carbon dioxide concentration 2.STACK VENTILATION in the theatre to provide cold air and decrease carbon dioxide concentration 1. 1. ±0.00 GROUD LEVEL +3.70 CAFE LEVEL +9.90 TOP ROOF LEVEL +12.90 TOP STACK LEVEL -0.20 THEATRE LEVEL -2.90 THEATRE LEVEL CAFE-RECEPTION +3.70 THEATRE -0.20 STAFF CORRIDOR GUEST CORRIDOR 2. ±0.00 GROUD LEVEL CAFE-RECEPTION +3.70 THEATRE -0.20 THEATRE -2.90 STAGE BACK STAGE +3.70 CAFE LEVEL +9.90 TOP ROOF LEVEL +12.90 TOP STACK LEVEL -0.20 THEATRE LEVEL -2.90 THEATRE LEVEL M DOW TH TRE Ventilation strategy CFD results: IES results Model Iterations Theatre : Cafe : IES VE simulation results: The model was created using IES VE. The structure included the basic outlines of the building form, and surrounding trees, to account for some shading. The site is heavily covered in foliage, and large London plane trees. The team expects that the shading capacity of these trees can help with minimizing solar gains in the summer, and filtration. EA 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% MODEL 1 MODEL 2 MODEL 3 MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11 THEATRE - Percentage within and outside the comfort range within comfort range outside comfort range MODEL 1 MODEL 2 MODEL 3 MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11 Number dissa Ɵ s ed 1726 695 1226 533 653 873 827 840 705 549 536 Number sa Ɵ s ed 1194 2225 1694 2387 2267 2047 2093 2080 2215 2371 2384 Total 2920 2920 2920 2920 2920 2920 2920 2920 2920 2920 2920 Outside comfort range 59.1% 23.8% 42.0% 18.3% 22.4% 29.9% 28.3% 28.8% 24.1% 18.8% 18.4% Within comfort range 40.9% 76.2% 58.0% 81.7% 77.6% 70.1% 71.7% 71.2% 75.9% 81.2% 81.6% Temperature (˚C) CO2 MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11 Above 1500 576 30 34 25 32 60 61 56 Total 2920 2920 2920 2920 2920 2920 2920 2920 % Above 19.73% 1.03% 1.16% 0.86% 1.10% 2.05% 2.09% 1.92% THEATRE MODEL 1 MODEL 2 MODEL 3 MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11 outside comfort zone 59.1% 23.8% 42.0% 18.3% 22.4% 29.9% 28.3% 28.8% 24.1% 18.8% 18.4% within comfort zone 40.9% 76.2% 58.0% 81.7% 77.6% 70.1% 71.7% 71.2% 75.9% 81.2% 81.6% CAFÉ MODEL 1 MODEL 2 MODEL 3 MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11 outside comfort zone 62.8% 35.9% 46.1% 42.1% 41.6% 43.2% 44.9% 48.8% 32.2% 24.6% 23.5% within comfort zone 37.2% 64.1% 54.0% 58.1% 58.4% 56.8% 54.9% 51.0% 67.7% 75.3% 76.3% MODEL 1 Model 1 was a basic shoebox model created to test that the ventilation strategy was working. From this, we were able to confirm that the strategy was working. Peak temperatures in summer were at 25 degrees, however, CO 2 concentrations were very high throughout the year. Window controls were based on the air temperature of the theatre. Closed when temperature dropped to 19 O C, and fully open when temperatures were above 25 O C. Theatre occupancy was expected between 12-2pm, 6-8pm. Lighting schedules coincide with occupancy. Café occupancy was expected between 8-10pm Materials were assigned their respective u-values. Lowest possible u-values were used, and highest possible g-values were used. MODEL 2 For model 2, we decided to investigate the impacts of reducing the occupancy levels for both the theatre and the café to see its impacts on the performance of the building. All other parameters remained the same. We saw a higher level of times within the comfort range. MODEL 3 We experimented the impacts of adding heating to the building. The building would be heated once temperatures reached 18 O C. Windows were also constantly open. Occupancy was back at 100%, and the café operation hours were changed from 7am-7pm. Comfort criteria was only achieved at the 50% level. MODEL 4 Heating was removed. Window controls depend on the air temperature – closed at 19 O C and below, and fully open when 25 O C and above. We also assumed a gradual increase in occupancy during the operating hours. Results showed a significant improvement in the thermal comfort in the theatre, but not in the café. MODEL 5 High CO 2 concentrations were yet to be addressed. In model 5, thermal mass was assigned to each of the materials. There are 4 different types of window controls were employed to address CO 2 concentrations and maintain thermal comfort criteria. MODEL 6 Internal blinds were added to address overheating in the summer. Blinds are open from September – May, and closed during the summer months, when solar gains are above 50w/m 2 MODEL 7 Night ventilation was added, and stack ventilation, and cross ventilation windows were fully open from midnight to 7am, from June 15 to October 1. MODEL 8 The material of the chimney was changed. We originally planned for a transparent chimney to provide views to the sky. However, the team has decided to use a concrete instead. MODEL 9 More changes were made to the window schedules in an attempt to address the low levels of thermal comfort in the café. Heating was added to the model, which resulted in significant improvements to the thermal comfort in the café. MODEL 11 Windows were added to the interior glass wall to allow for the movement of hot air from the theatre into the café, as necessary, during the winter months. MODEL 10 It became apparent to the group that there was a significant amount of heat that was moving from the theatre to the café. A glass wall was installed to separate the café and the stack, to better direct the heat towards the chimney. Significant improvements to the model were realized. Temperature (˚C) MODEL 1 MODEL 2 MODEL 3 MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11 Number dissa Ɵ s ed 2978 1702 2185 1994 1215 1261 2132 2316 1526 1165 1117 Number sa Ɵ s ed 1767 3036 2560 2751 1705 1659 2605 2421 3211 3572 3620 Total 4745 4738 4738 4738 2920 2920 4745 4745 4745 4745 4745 Outside comfort zone 62.8% 35.9% 46.1% 42.1% 41.6% 43.2% 44.9% 48.8% 32.2% 24.6% 23.5% Within comfort zone 37.2% 64.1% 54.0% 58.1% 58.4% 56.8% 54.9% 51.0% 67.7% 75.3% 76.3% CO2 concentra Ɵ on (ppm) MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11 Mi n 405 403 403 0 400 400 400 Ma x 2721 1379 1382 1420 1844 2020 2015 Above 1500 151 0 0 0 0 0 0 Total 4745 4744 4744 4744 4744 4744 4744 % Above 3.18% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% MODEL 1 MODEL 2 MODEL 3 MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11 CAFE - Percentage within and outside the comfort range Within comfort zone Outside comfort zone Comfort Criteria Month Lower bound Upper bound January 16.5 22.5 February 17 23 March 18 24.5 April 19.5 25.5 May 20.5 26.5 June 21.5 27.5 July 22 28.5 August 22 28.5 September 19 26 October 19.5 25.5 November 18 24 December 16.5 22.5 Modeling results: Energy Demand and Resulting Carbon Emissions ACH-Cafe ACH-Theatre TEMPERATURE results -5 0 5 10 15 20 25 30 35 temperature (oC) Outdoor temperatures and theatre temperatures, annual at 11:30-14:30, 18:30-21:30 Outdoor temperatures (DSY) Theatre temperature -10 -5 0 5 10 15 20 25 30 35 40 January February March April May June July August September October November December Outdoor temperatures and cafe temperatures, annual at 7:30-19:30 Outdoor temperature (DSY) Café temperature temperature (oC)

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Page 1: Natural Ventilation Theatre2

CFD analysis of temperature in the cafe on July 15, from 1-2pmThe temperatures provided by the model were averages of the space. The CFD analysis shows that the temperatures in the occupied zones are different from the areas towards the ceiling of the café. This provides a limitation to our model – the café’s occupied zone was not separated from the unoccupied zones, thereby increasing any tem-perature peaks.

Table 2: Theatre CO2 concentration levels for models 5 - 12CO2 concentrations MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11

above 1500 576 30 34 25 32 60 61 56 total 2920 2920 2920 2920 2920 2920 2920 2920

% above 19.73% 1.03% 1.16% 0.86% 1.10% 2.05% 2.09% 1.92%

CFD analysis of temperature in the theatre on July 15, from 1-2pmTemperatures in the theatre vary by the same amount, which is expect-ed due to the theatre’s height. There are about 2OC of variation between the temperatures from the lower to the upper levels of the theatre.

CFD simulation of CO2 concentration levels on July 15.CO2 concentrations are above 1500ppm 1.92% of the operating hours in the year, as shown by Table 2. The CFD analysis of CO2 concentrations show that the higher concentrations of CO2 can be found on the higher levels, towards the ceiling of the theatre, in red. The occupied levels of the theatre have CO2 concentrations ranging from about 550 – 950ppm.

These numbers show that lighting loads are very high for the building. The lighting strategy could be improved by light sensors in the switches in the café, as it benefits from significant levels of natural lighting.

SUMMER NIGHT-VENTILATION STRATEGY

1.CROSS VENTILATION in both the cafe and theatre 2.STACK VENTILATION in the theatre for pre-cooling in the morning

±0.00 GROUD LEVEL

CAFE-RECEPTION+3.70

THEATRE-0.20

THEATRE-2.90

STAGEBACKSTAGE

+3.70 CAFE LEVEL

+9.90 TOP ROOF LEVEL

+12.90 TOP STACK LEVEL

-0.20 THEATRE LEVEL

-2.90 THEATRE LEVEL

±0.00 GROUD LEVEL

+3.70 CAFE LEVEL

+9.90 TOP ROOF LEVEL

+12.90 TOP STACK LEVEL

-0.20 THEATRE LEVEL

-2.90 THEATRE LEVEL

CAFE-RECEPTION+3.70

THEATRE-0.20STAFF

CORRIDORGUEST

CORRIDOR

2.

2.

1.

WINTER VENTILATION STRATEGY

1.CROSS VENTILATION in the cafe during the operating time2.STACK VENTILATION in the theatre to decrease carbon dioxcide concentration

1.

2.

1.

±0.00 GROUD LEVEL

+3.70 CAFE LEVEL

+9.90 TOP ROOF LEVEL

+12.90 TOP STACK LEVEL

-0.20 THEATRE LEVEL

-2.90 THEATRE LEVEL

CAFE-RECEPTION+3.70

THEATRE-0.20STAFF

CORRIDORGUEST

CORRIDOR

2.

±0.00 GROUD LEVEL

CAFE-RECEPTION+3.70

THEATRE-0.20

THEATRE-2.90

STAGEBACKSTAGE

+3.70 CAFE LEVEL

+9.90 TOP ROOF LEVEL

+12.90 TOP STACK LEVEL

-0.20 THEATRE LEVEL

-2.90 THEATRE LEVEL

SUMMER VENTILATION STRATEGY

1.CROSS VENTILATION in the cafe during the operating time to ventilate the air and reduce carbon dioxide concentration2.STACK VENTILATION in the theatre to provide cold air and decrease carbon dioxide concentration

1.

1.±0.00 GROUD LEVEL

+3.70 CAFE LEVEL

+9.90 TOP ROOF LEVEL

+12.90 TOP STACK LEVEL

-0.20 THEATRE LEVEL

-2.90 THEATRE LEVEL

CAFE-RECEPTION+3.70

THEATRE-0.20STAFF

CORRIDORGUEST

CORRIDOR

2.

±0.00 GROUD LEVEL

CAFE-RECEPTION+3.70

THEATRE-0.20

THEATRE-2.90

STAGEBACKSTAGE

+3.70 CAFE LEVEL

+9.90 TOP ROOF LEVEL

+12.90 TOP STACK LEVEL

-0.20 THEATRE LEVEL

-2.90 THEATRE LEVEL

M DOWTH TREVentilation strategy

CFD results: IES results

Model Iterations

Theatre :

Cafe :

IES VE simulation results:

The model was created using IES VE. The structure included the basic outlines of the building form, and surrounding trees, to account for some shading. The site is heavily covered in foliage, and large London plane trees. The team expects that the shading capacity of these trees can help with minimizing solar gains in the summer, and filtration.

EA

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

MODEL 1 MODEL 2 MODEL 3 MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11

THEATRE - Percentage within and outside the comfort range

within comfort range outside comfort range

MODEL 1 MODEL 2 MODEL 3 MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11

Number dissa sfied 1726 695 1226 533 653 873 827 840 705 549 536

Number sa sfied 1194 2225 1694 2387 2267 2047 2093 2080 2215 2371 2384

Tota l 2920 2920 2920 2920 2920 2920 2920 2920 2920 2920 2920

Outs ide comfort range 59.1% 23.8% 42.0% 18.3% 22.4% 29.9% 28.3% 28.8% 24.1% 18.8% 18.4%

Within comfort range 40.9% 76.2% 58.0% 81.7% 77.6% 70.1% 71.7% 71.2% 75.9% 81.2% 81.6%

Temperature (˚C)

CO2 MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11

Above 1500 576 30 34 25 32 60 61 56

Tota l 2920 2920 2920 2920 2920 2920 2920 2920

% Above 19.73% 1.03% 1.16% 0.86% 1.10% 2.05% 2.09% 1.92%

Group 6: Meadow Theatre

THEATRE MODEL

1 MODEL

2 MODEL

3 MODEL

4 MODEL

5 MODEL

6 MODEL

7 MODEL

8 MODEL

9 MODEL

10 MODEL

11 outside comfort zone 59.1% 23.8% 42.0% 18.3% 22.4% 29.9% 28.3% 28.8% 24.1% 18.8% 18.4% within comfort zone 40.9% 76.2% 58.0% 81.7% 77.6% 70.1% 71.7% 71.2% 75.9% 81.2% 81.6%

CAFÉ MODEL

1 MODEL

2 MODEL

3 MODEL

4 MODEL

5 MODEL

6 MODEL

7 MODEL

8 MODEL

9 MODEL

10 MODEL

11 outside comfort zone 62.8% 35.9% 46.1% 42.1% 41.6% 43.2% 44.9% 48.8% 32.2% 24.6% 23.5% within comfort zone 37.2% 64.1% 54.0% 58.1% 58.4% 56.8% 54.9% 51.0% 67.7% 75.3% 76.3%

MODEL 1

Model 1 was a basic shoebox model created to test that the ventilation strategy was working. From this, we were able to confirm that the strategy was working. Peak temperatures in summer were at 25 degrees, however, CO2 concentrations were very high throughout the year. Window controls were based on the air temperature of the theatre. Closed when temperature dropped to 19OC, and fully open when temperatures were above 25OC. Theatre occupancy was expected between 12-2pm, 6-8pm. Lighting schedules coincide with occupancy. Café occupancy was expected between 8-10pm Materials were assigned their respective u-values. Lowest possible u-values were used, and highest possible g-values were used.

MODEL 2

For model 2, we decided to investigate the impacts of reducing the occupancy levels for both the theatre and the café to see its impacts on the performance of the building. All other parameters remained the same. We saw a higher level of times within the comfort range.

MODEL 3

We experimented the impacts of adding heating to the building. The building would be heated once temperatures reached 18OC. Windows were also constantly open. Occupancy was back at 100%, and the café operation hours were changed from 7am-7pm. Comfort criteria was only achieved at the 50% level.

MODEL 4

Heating was removed. Window controls depend on the air temperature – closed at 19OC and below, and fully open when 25 OC and above. We also assumed a gradual increase in occupancy during the operating hours. Results showed a significant improvement in the thermal comfort in the theatre, but not in the café.

MODEL 5

High CO2 concentrations were yet to be addressed. In model 5, thermal mass was assigned to each of the materials. There are 4 different types of window controls were employed to address CO2 concentrations and maintain thermal comfort criteria.

MODEL 6

Internal blinds were added to address overheating in the summer. Blinds are open from September – May, and closed during the summer months, when solar gains are above 50w/m2

MODEL 7

Night ventilation was added, and stack ventilation, and cross ventilation windows were fully open from midnight to 7am, from June 15 to October 1.

MODEL 8

The material of the chimney was changed. We originally planned for a transparent chimney to provide views to the sky. However, the team has decided to use a concrete instead.

MODEL 9

More changes were made to the window schedules in an attempt to address the low levels of thermal comfort in the café. Heating was added to the model, which resulted in significant improvements to the thermal comfort in the café.

MODEL 11

Windows were added to the interior glass wall to allow for the movement of hot air from the theatre into the café, as necessary, during the winter months.

MODEL 10

It became apparent to the group that there was a significant amount of heat that was moving from the theatre to the café. A glass wall was installed to separate the café and the stack, to better direct the heat towards the chimney. Significant improvements to the model were realized.

Temperature (˚C) MODEL 1 MODEL 2 MODEL 3 MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11

Number dissa sfied 2978 1702 2185 1994 1215 1261 2132 2316 1526 1165 1117

Number sa sfied 1767 3036 2560 2751 1705 1659 2605 2421 3211 3572 3620

Tota l 4745 4738 4738 4738 2920 2920 4745 4745 4745 4745 4745

Outs ide comfort zone 62.8% 35.9% 46.1% 42.1% 41.6% 43.2% 44.9% 48.8% 32.2% 24.6% 23.5%

Within comfort zone 37.2% 64.1% 54.0% 58.1% 58.4% 56.8% 54.9% 51.0% 67.7% 75.3% 76.3%

CO2 concentra on (ppm) MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11

Min 405 403 403 0 400 400 400

Max 2721 1379 1382 1420 1844 2020 2015

Above 1500 151 0 0 0 0 0 0

Tota l 4745 4744 4744 4744 4744 4744 4744

% Above 3.18% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

MODEL 1 MODEL 2 MODEL 3 MODEL 4 MODEL 5 MODEL 6 MODEL 7 MODEL 8 MODEL 9 MODEL 10 MODEL 11

CAFE - Percentage within and outside the comfort range

Within comfort zone Outside comfort zone

Comfort Criteria

Month Lower bound Upper bound

January 16.5 22.5

February 17 23

March 18 24.5

April 19.5 25.5

May 20.5 26.5

June 21.5 27.5

July 22 28.5

August 22 28.5

September 19 26

October 19.5 25.5

November 18 24

December 16.5 22.5

Modeling results: Energy Demand and Resulting Carbon Emissions

ACH-Cafe ACH-Theatre

TEMPERATURE results

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25

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Outdoor temperatures and theatre temperatures, annual at 11:30-14:30, 18:30-21:30

Outdoor temperatures (DSY) Theatre temperature

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Janu

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Apr

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June July

Aug

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Sept

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Nov

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Dec

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Outdoor temperatures and cafe temperatures, annual at 7:30-19:30

Outdoor temperature (DSY) Café temperature

tem

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ture

(oC

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