lindita bande adalberto guerra cabrera2 afshin afshari 3 ...aim of the research: ‐measuring the...
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Evaluation of Smart Shading Structures in Mitigating Urban Heat Island in a district of a Hot Arid Climate City (Abu Dhabi).
Lindita Bande1, Adalberto Guerra Cabrera2,
Afshin Afshari3, Miguel Martin4.
1 Polytechnic of Milan, Milano, Italy, [email protected]
2 Masdar Institute of Science and Technology, Abu Dhabi, UAE,
[email protected] Masdar Institute of Science and
Technology, Abu Dhabi, UAE, [email protected]
4 Masdar Institute of Science and Technology, Abu Dhabi, UAE,
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THE HISTORY
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Abu Dhabi 1955.
Abu Dhabi 1970.Abu Dhabi 1966.Abu Dhabi 2014.
THE CITY TRANSFORMATION
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HISTORY VS MODERN
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Abu Dhabi 1955.
POPULATION DENSITY AND THE LATEST TEMPERATURE MEASURED IN ABU DHABI
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DIFFERENT DISTRICT TYPOLOGY TAKEN INTO STUDY.
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AIM OF THE RESEARCH:‐MEASURING THE IMPACT OF URBAN SHADING DEVICE INTO THE MITIGATION OF UHI.‐MEASURING THE ENERGY SAVING IN THE COOLING LOAD OF THE DIFFERENT TYPOLOGIES OF BUILDINGS IN THE 5 CONSIDERED DISTRICTS AS A RESULT OF THE UHI MITIGATION STRATEGY.
TOOLS USED IN THE RESEARCH:‐ENVI MET‐ENERGY PLUS‐UMI‐GRASSHOPPER
‐RHINO‐ECOTECT
‐AUTOCAD‐3DMAX
INNOVATION :‐COMPARISON OF TRADITIONAL SHADING WITH SMART SHADING DEVICES AS A UHI MITIGATION STRATEGY.‐HAVING YEARLY TOTAL ENERGY SIMULATION OF EACH DISTRICT BY USING A MODIFIED YEARLY WEATHER FILE FROM DIFFERENT TOOLS IN A CITY AS ABU DHABI.
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THE CASE STUDY – E3
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District E3 thermal image at morning.
District E3 thermal image at evening.
SITE OBSERVATIONUHI EFFECT DOWNTOWN ABU DHABI
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SHADING DEVICES TYPOLOGY 1
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SHADING DEVICES TYPOLOGY 3
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THREE STEPS AND THREE MAIN TOOLS
STEP 1: PREPARING THE BASE FILEArch GIS, AutoCAD, 3D Max, ECOTECT, ENVI met.
STEP 2: CREATING THE LINK FOR THE YEARLY WEATHER FILEMATLAB
STEP 3: ENERGY SIMULATION UMI, RHINO, ENERGYPLUS, GRASSHOPPER
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ENVI met AS A FIRST TOOL
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FIRST RESULTS IN ENVI met
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THE DIFERENCE IN TEMPERATURE
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MATLAB AS A SECOND TOOL
SCOPE: YEARLY WEATHER FILEINPUT: 4 DAYS NEW WEATHER DATA, YEARLY BASE WHEATHER DATAOUTPUT: NEW YEARLY WEATHER DATABASE TOOL: MATLAB
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Sensors in the Main Island of Abu DhabiScope: Real data of the temperature, relative humidity, wind speed.
Use: The real data will be used to calibrate the models of energy simulations that are used in the laboratory.
Result: The results of the validation will give realistic energy simulation.
Time: The monitoring will last 6 month in total, April‐ September 2016
Location Downtown Abu Dhabi
Validation of the simulated weather file.
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Validation of the simulated weather file.
0
5
10
15
20
25
30
35
40
45
1 13 25 37 49 61 73 85 97 109
121
133
145
157
169
181
193
205
217
229
241
253
265
277
289
301
313
325
337
349
361
373
385
397
409
421
433
445
457
469
481
493
505
517
529
541
VALIDATION CHART
BASELINE HOBO 1
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UMI/GRASSHOPPER AS A THIRD TOOL
SCOPE: ENERGY SIMULATIONINPUT: MODEL, TEMPLATES, WEATHER FILE
OUTPUT: ENERGY CONSUMPTIONBASE TOOL: RHINO, ENERGY PLUS,UMI, GRASSHOPPER
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FINAL RESULTS
GOAL OF THE FIRST CASE STUDY: MEASURING THE ENERGY SAVING.TESTING THE RESULT: FUTURE STEP
DIRECT COST: THE SHADING DEVICES AND THE INTERVENTION.DIRECT COST RECOVERY: ENERGY SAVING IN THE DISTRICT BUILDINGS.
INDIRECT PROFIT: OUTDOOR COMFORT, WALKABILITY.
Building
Baseline (Envimet) (weather file
base_2)
Shaded (ENVIMET longwave) (shade_4)
Difference with Baseline
Shaded (ENVIMET shortwave+longwave)
(shade_4)
Difference with
Baseline
C1 4,472,000.00 4,464,500.00 0.17% 4,456,600.00 0.34%
C2 3,769,500.00 3,766,200.00 0.09% 3,758,300.00 0.30%
C3 5,467,700.00 5,461,400.00 0.12% 5,462,000.00 0.10%
C4 3,513,700.00 3,505,700.00 0.23% 3,505,700.00 0.23%
C5 11,052,000.00 11,044,000.00 0.07% 11,044,000.00 0.07%
C6 2,505,200.00 2,499,200.00 0.24% 2,499,200.00 0.24%
C61 875,943.53 871,209.00 0.54% 866,584.00 1.07%
C62 1,903,800.00 1,898,300.00 0.29% 1,892,200.00 0.61%
C121 240,734.50 239,720.00 0.42% 227,486.00 5.50%
C122 261,948.00 260,763.00 0.45% 251,175.77 4.11%
C148 505,051.00 503,416.00 0.32% 500,637.00 0.87%
C149 465,952.00 464,430.38 0.33% 463,176.00 0.60%
C150 431,644.00 430,427.91 0.28% 425,524.00 1.42%
C151 452,628.00 451,487.87 0.25% 451,260.00 0.30%
C152 653,117.00 651,038.17 0.32% 650,012.00 0.48%
36,570,918.03 36,511,792.33 0.16% 36,453,854.77 0.32%
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FINAL RESULTS
Baseline (Envimet) (weather file base_2)
Shaded (ENVIMET longwave) (shade_4)
Difference with Baseline
Shaded (ENVIMET shortwave+longwave)
(shade_4)
Difference with
Baseline
36,570,918.03 36,511,792.33 0.16% 36,453,854.77 0.32%
TemperatureReduction
EnergySaving
0.4 degrees 0,32 %
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Thank you.