SERIES OF CURRENT ISSUES UAE IS FACING
EXISTING CONDITION RAPID GLOBALIZATION LOST OF CULTURAL IDENTITY NETWORK INFRASTRUCTURE WATER USAGE & CONSUMPTION
Oil Wealth With their oil wealth, the UAE emerged as a global and business hub.
Dubai
Adu Dhabi Al Ain
Liwa
Desalination Plant Despite the issue of water scarcity, due to the oil wealth they are now using water heavily.
Migration Emirati’s became rich and steek for better living standard by migrating to the coastline.
MIGRATION TO COASTLINE FOR BETTER LIVING STANDARD
RAPID GLOBALIZATION
Groundwell Traditionally the main water source supply derived from groundwell.
Dubai
Adu Dhabi Al Ain
Liwa
Network Oasis There were no cities in the past but oasis. It was used for trade and transportation.
Housing Traditional houses are made out of date palm trees and built relatively low ground to avoid sand accumulation.
RAPID GLOBALIZATION COLLAPSED TRADITIONAL SOCIAL ACTIVITIES
LOST OF CULTURAL IDENTITIES
Total Emirate Water Consumption
60%
Gr.W
Drinking water supplied for domestic, industrial and commercial use and accounts for only 15.9%. By far the largest user of water is the agricultural sector, comprising over 20, 000 small citizens farms and few, large state farms. Water used in this sector is mostly brackish in due to the salinity in groundwater.
Amenity - West
40%
Forest East
10%
Amensity- West
43%
Amenity East
20%
100%
Domestic - West
8%
Domestic
15%
Amensity - Total Abu Dhabi
USAGE
Domestic - Total Abu Dhabi
Groundwater Consumption (West & East)
7%
Industry
Groundwater is the main irrigation for any kind of agriculture. And 61% of the water consumption are consumed by argriculture. However groundwater will be fully depleted in 20 years at this rate.
7%
Amensity - East
33%
67%
Forest East
Forest West
Domestic - East
Des Agriculture
57%
100%
Forest - West
24%
19%
16%
100%
Shuweihat Plant
UWEC Plant
4%
Forestry - West
Industry - West
35%
6%
Taweelah Plant
16%
2%
Forestry- Total Abu Dhabi
Industry - Total Abu Dhabi
Mirfa Plant
USAGE
Desalination Daily Capacity UAE rely heavily on desalination water due to the high salinity groundwater and there are 6 six main desalination plants along the coast each has large differences in desalinted water capacity.
Forestry
7%
2%
22%
ADPS Plant
UAN Plant
1%
Forestry- East
Industry - East
Ag
Amenity
46%
Agriculture - East
61%
75
35
80x1000
2003 - West
1996 - West
43
78%
21
2003 - East
Agriculture - West
1996 - East
72
Agriculture - Total Abu Dhabi
42
2002 - West
1997 - West
43
28
2002 - East
USAGE
Agriculture Expansion
71
EXISTING SOLUTION DEALING WITH WATER SCARCIT Y WITHIN THE UAE
49
2001 - West
1998 - West
42
2001 - East
The agricultural sector consumes 61% of all the Abu Dhabi Emirates water demands. The main agriculture fields are date palm fields which highly concentrated in the Liwa Cresent.
WATER USAGE AND CONSUMPTION
1997 - East
29
40
2000 - West
67
2000 - East
38
1999 - East
59
1998 - East
1999 - West
CIT Y PLANNING WITH NEW BABYLON
CITY URBANISATION CONSTANT’S NEW BABYLON NEW BABYLON RELOADED MOBILE DRIFTER
LEVEL 4
LEVEL 3
LEVEL 2 LEVEL 1 Constant’s Plan CONSTANT’S PLAN
Homer Faber is the representative of the ludic society. In which he demands desire for pleasure and yet the desire is an unknown factor. He constantly require increase in social interaction as this will broaden his creativity side. He realise the need of alternating the behaviour patterns. The behaviour patterns of the ludic society considers space as a toy and constantly pursuing their ‘unknown’ desire for a pernament experimentation. To explore such space, there must be a constinous movement on a 100% free surface. The surface is acting like a dynamic labrinth.
INITIAL TRANSFORMATION FROM NEW BABYLON TO RELOADED
CONSTANT’S NEW BABYLON
Pilotis Structures
Etched Grids - Partitioning
Intepretated ‘surfaces’ organisation
1 - Piano Wire Model This is the initial model in which we tried to inteprete Constant’s high speed transportatation within New Babylon. To do that we used paino wire as the ‘streamless’ network and the cables are imitating the transportation. The cables are then travelled through the piano wires on the sand dune landscape.
2 - Cable Tie Model To introduce a structural system to the New Babylon we have used cable ties and randomly tied the cables together to create a pilotis structure. By using cable ties it generates internal spaces when they are tied together which will be used for ‘settlement’.
3 - Adaptive Skin Using the tectonic formation principle we created a ‘skin’ in which will adapt to the flunctuation of sand dune landscape. Inhabitants are then travel on top or underneath the ‘skin’ alowing maximum ‘freedom’.
4 - Mobile Drifter The Mobile Drifter consists of three compounds in which are connected through tunnel like structures and each compound are elevated by piloti structures. The end of each pilotis has a large surface area to adapt to the landscape.
5 - Tubular Model This model inherited tubes in which imitates the high speed ‘streamless’ transporation. And the transports will travel through these transparent tubes.
SERIES OF TEST MODELS DOMONSTRATING DESIRABLE SPACE
NEW BABYLON RELOADED
FINAL INTEPRETATION OF NEW BABYLON
MOBILE DRIFTER
STUDIES OF EXISTING FIELD CONDIDTIONS
OPERATIONAL FIELD LIWA CRESCENT CONDITIONS LAND-USE PROGRAM SEGREGATION DUNE LAYERING DEFINE LOCATION OF ECO-FARM PATH LAYERING PARCELISATION OF ECO-PLANTS
Network Oasis Liwa is a network oasis and it is a of the few area will traditional cultures.
Dubai
Adu Dhabi Al Ain
Liwa
Residences Liwa is an area will large sand dunes and the buildings are usually integrated with the dunes.
Water Supply Desalinated water is the main water source. But many residences are not connected with pipelines.
TRADITIONAL CULTURAL IDENTITIES CAN BE FOUND IN LIWA
LIWA CRESCENT CONDITION
0m - 150m
LIWA CRESCENT
liwa Crescent is extremely different from the main cities like Dubai, Al Ain or Abu Dhabi. This is because of it unique natural landscape. The locals did not demonlished the sand dunes but attempt to integrate with the sand dunes. As a result, programs are segregation according to altitude of the sand dunes. P R O G R A M S E G R E G AT I O N BY D U N E T Y P O G R A P H Y
PROGRAM SEGREGATION
0m -15m
AGRICULTURE LEVEL
15m -25m
COMMUNAL LEVEL
0m -35m
RECHARGING CITY LEVEL
25m -35m
EMIRATI LEVEL
75m -150m
EMPTY QUATAR LEVEL
1
100m
CONTOUR LINES
140m
180m
The natural sand dune landscape is an essential part of preserving cultural identities. Therefore the first proto-city will integrate with the natural sand dune and use them as a water path system. This study allow me to extract a natural outline of path systems which can be use as a road or water path.
STUDY OF SAND DUNE PROPERTIES
DUNE LAYERING
2
DUNES MID-POINTS
3
TOPOGRAPHY
4
ALTITUDE LENGTH
5
100m
INTERSECTION OF ALTITUDE
140m
180m
6
PARCELISATION
120m contour line divided with 50m apart
Defining closest division point to farm
Existing farm and domestic house locations This is the urban scale of first proto-city 2012. In order to define the location of the eco-farm, distance proximity is used. At the moment the Eco-Plants will be located at around 120m level and by using distance proximity the Eco-Farm locations are defined. It mean it will be in good range for farmers to access Eco-Farms and their date farms.
Greywater pipeline path along sand dunes path
U S I N G D I S TA N C E P R O X I M I T Y T O D E F I N E L O C AT I O N O F E C O - FA R M
DEFINING LOCATION OF ECO-FARM
Treated water pipeline path along sand dunes path
1
DUNES MID-POINTS
2
TOPOGRAPHY
3
CONTOUR LINES
4
CONTOUR DIVISION
5
100m
DEFINING LOCATED OF EA CH ECO-PL ANTS
WATER PATH LAYERING
SCALED VORONOI
140m
180m
6
PATH SYSTEM
200m
Eco-Plants
Greywater Pipeline
Treated Water Pipeline
DEFINING LOCATION OF ECO-PL ANTS BY DISTANCE
PARCELISATION OF ECO-PLANTS
250m
300m
350m
400m
WASTEWATER TREATMENT SYSTEM
PURPOSE OF ALGAE USE OF ALGAE IN RECHARGING CITY ALGAE PROPERTIES PHOTO-BIOREACTORS
Algae Algae are cultivated under the shade of the date palm trees.
Irrigation Black rubber pipes are collected to the sand dough to irrigation the algae.
Shade Algae survived in this extreme climate because the date palm provides enough shade.
ALGAE CAN BE FOUND IN EXISITNG DATE PALM TREES WHERE THEY CULTIVATE
USE OF ALGAE IN RECHARING CITY
TEMPERATURE
SUNLIGHT
WATER
CO2
SUPPLEMENTS
POND
SOIL
ROCK
LAKE
SEWAGE
PHOTOBIOREACTOR
WHERE?
UNCONTROLLED ENVIORNMENT
OPEN POND
CONTROLLED ENVIRONMENT
PHOTOBIOREACTOR
H20 H20
SLUDGE
PRESS
SEPERATOR
CENTRIFUGE
WATER
BIOMASS
ALGAE
HOW?
CO2
WHEEL
OR
FEEDING VESSEL
SUPPLY
ALGAE
WASTE
BIOFUEL
JET FUEL
ANIMAL FEED
ELECTRICITY
ETHANOL
TREATED WATER
WHY?
T H E N E E D O F A LG A E F O R C U LT I VAT I O N
ALGAE PROPERTIES
ALGAE OIL
PROTEINS
CARBOHYDRATES
TREATED WATER
LAYER 4
LAYER 3
SUNLIGHT INTENSITY More sunlight are penetrating through the top layer but the Layer 3 structure is blocking sunlight to penetrate to the lower layers.
NUTRIENTS WATER CO2
LAYER 2
LAYER 1
135
0mm
LAYER 4 LAYER 3
LAYER 3
2200mm
LAYER 2 LAYER 1
EXT
LAYER 2 ENT
ION
LAYER 1
NUTRIENTS WATER CO2 220
NUTRIENTS WATER CO2
PHOTO-BIOREACTORS USED FOR CULTIVATION
PHOTO-BIOREACTORS
0m
m
NUTRIENTS WATER CO2
A Photo-Bioreactor incorpoates a light source to provide photonic (sunlight) energy into the reactor. Above is the common horizontally orientated PBR. Therefore a number of factors which determines the orientation but mainly will be the sunlight direction. It is essential to allow a maxiVmum intake of sunlight in order to maximise the growth of the algae.
EXT
ENT
ION
Vertical PBR is allow more sunlight to penetrate through them and therefore result in better growth of algae. Although it allows more sunlight, there is not a even sunlight distribution as the inbetween PBRs are still having less sunlight.
1
2 TARGETED POINTS
2
THE STUDY OF CENTROID BRANCHING ALGORITHM
BRANCHING SYSTEM
3 TARGETED POINTS
3
4 TARGETED POINTS
4
5 TARGETED POINTS
5
6 TARGETED POINTS
6
7 TARGETED POINTS
7
8 TARGETED POINTS
8
9 TARGETED POINTS
9
10 TARGETED POINTS
Target Point : 14 Seed Point : 14
Branching 1 The form of the branches are defined by the number of target point and seed point and also the degreee of slack given.
Dry threads - Front View The initial model derived by the form-finding for branching system developed by Frei Otto. And in order to understand how the minimal path works, I have made a test model with 14 target points and 14 seed points with a pattern configuration.
Dry threads - Right View
Dry threads - Perspective
Target Point : 14
Branching 1
Branching 2
Direct Paths Wet threads - Front View To visualise the minimal path I have dipped the test model into a PVA waterbase solution in order to maintain the path when it is dried.
Wet threads - Right View
Wet threads - Perspective
Seed Point : 14
INSPIRED BY FREI OTTO’S BRANCHING SYSTEM
INITIAL FORM FINDING MODEL
Branching 2 Branching 2 has the same amount of target points and seed points but the degree of slack is less the branching 1 therefore the curvature degree is less.
Target Point : 10 Seed Point : 10
Dry threads
Wet - Level 2; 105mm; Degree of Slack
Wet - Level 3; 150mm; Degree of Slack
Dry - Level 3; 150mm; Inversed drying
Target Point : 20 Seed Point : 20
Dry threads
Wet - Level 2; 105mm; Degree of Slack
Wet - Level 3; 150mm; Degree of Slack
Dry - Level 3; 150mm; Inversed drying
Target Point : 30 Seed Point : 30
Dry threads
Wet - Level 2; 105mm; Degree of Slack
Wet - Level 3; 150mm; Degree of Slack
Dry - Level 3; 150mm; Inversed drying
Target Point : 40 Seed Point : 40
Dry threads
Wet - Level 2; 105mm; Degree of Slack
Wet - Level 3; 150mm; Degree of Slack
Dry - Level 3; 150mm; Inversed drying
Target Point : 50 Seed Point : 50
Dry threads
Wet - Level 2; 105mm; Degree of Slack
Wet - Level 3; 150mm; Degree of Slack
Dry - Level 3; 150mm; Inversed drying
EXPERIRMENT VARIOUS DENSIT Y AND DEGREE OF BRANCHES
EXPERIMENT WITH THREADS
11
12
10
09
13
06
0
165
05
210
16
0
225
04
0
240
17
0
18
0
150
165
03
0
255
210
16
0
225
0
240
17
0
270
19
0
01
20
01
0
24
0
0
16
09
0
165
16
0
225
04
0
240
0
165
03
0
255
150
16
0
225
04
0
240
17
01
0
165
03
255
20
150
02
TH
01
0
0
16
0
165
06 05
16
0
225
04
0
240
17
10
09
165
03
255
150
02
TH
AUG 17
0
180
0
210
16
0
240
17
04
0
0
255
01
135
20
270
120
120 21 0
0
315
23 0
90
315
N
1600 150
0
15
200
250
300
350
400
450
250 HABITATBLE CELLS 450
DAILY HOUR SURFACE TEMPERATURE OF LANDSCAPE 0800 -1900
SOLAR RADIATION ANALYSIS
05
0
225
240
17
16
0
04
0
255
165
03
0
150
02
270
01
135 285
345
1700
0
15
0
253 HABITATBLE CELLS
08 07
0
180
0
06
195
210
0
05
0
225
0
240
17
04
0
255
03
0
02
TH
270
19
0
01
20
285
0
0
300 105
315
0
0
22
0
315
23
0
0
24
330
0
330 75
345
0
N
45
30
0
15
0
265 HABITATBLE CELLS
345
1900
0
0
60 0
1800
09
21
0
N 30
10
0
0
0
11
241 HABITATBLE CELLS
AUG 17
0
60 45
0
18
0
0
90
0
0
0
0
60
0
210
0
75
0
30
195
15
0
15
0
0
345 0
1500
30
24
330
60
0
0
0
N
0
06
23
24
75
45
180
45
12
0
0
0
0
13
90
330
0
0
14
22
0
0
24
0
75
330
300 105
23
90
0
0
22
0
315
23
120
0
0
285
07
0
300 105
22
0
01
22
21
300 0
105
02
270
0
120
21
03
0
345
20
0
04
0
255
08
19
0
135 285
0
240
17
0
AUG 17TH
0
01
20
0
285
0
150
02
TH
19
0
09
18
0
AUG 17
270
19
0
165
03
0
0
135
10
15 05
225
0
300 0
0
259 HABITATBLE CELLS
11
12
0
225
0
0
13
06 0
15
0
14
18
0
1400
30
07
195
05
0
20
N
45
08
15
0
210
0
195
0
180
11
12 14
210
0
0
60 0
254 HABITATBLE CELLS
13
07
0
150
1300
08
18
0
N
06
195
0
19
0
75 345
0
0
180
24
330
15
07
TH
0
0
08
AUG 17
60
30
09
18
0
0
315
0
0
15
135 285
345
244 HABITATBLE CELLS
09
01
105
0
45
10
21
60
10
270
24
0
11
262 HABITATBLE CELLS
0
0
345
N
150
02
75
0
0
165
03
0
0
60
11
255
330 0
12
04
0
90
75
13
240
17
23
24 0
330
14
16
0
0
24
1200
225
90
0
15
0
22
315
23
75
0
05
300 0
0
30
210
0
0
15
120
105
90
0
195
15
0
12
0
22
315
23 0
30
06
0
0
N
0
13
0
0
105
45
14
300
0
45
180
0
0
1100
21
300
90
330
120 21
0
0
07
20
0
285
0
22
0
08
19
0
135
120
21
0
0
345
AUG 17TH
270
20
0
285
0
0
09
18
0
19
0
135
120
105
10
15
0
0
315
23
208 HABITATBLE CELLS
11
12
05
210
0
195
0
0
01
0
0
270
19
0
0
13
06
180
15
0
14
AUG 17
0
0
30
07
0
02
TH
45
1000
08
18
0
AUG 17
135
09
15
0
17
10
14
05
210
0
195
0
11
12 13 07 06
180
214 HABITATBLE CELLS
02
270
N
0
0
03
285
60
N
08
18
150
345
15
0
30
255
0
22
0
0
04
0
300 0
60
45
240
17
19
75
345
0900
0
24
330
0
15
0
315
60
N
225
TH
0
24
0
05
0
0
0
345
210
0
0
75
0
06
195
0
20
120
105
0
60
0
180
21
330 0
07
AUG 17
0
90
75
10
285
23
24 0
330
253 HABITATBLE CELLS
135
0
0
11
01
90
75
12
270
22
315
23 0
08
18
0
0
300 0
105
90
0
150
02
0
22
315
23 0
90
13
255
165
03
0
300 0
105
14
04
0
21
0
15
240
17
0
300 22
0
16
0
120 21
30
225
20
0
285
0
0
0
19
0
120
45
210
0
05
TH
135
20
0
285
21
0800
195
0
09
15
AUG 17
270
19
0
135
0
0
06
0
120
105
180
10
14
18
0
150
02
TH
AUG 17
0
135
165
03
255
18
0
150
07
04
0
02
AUG 17TH
05
11
12 13
08
15
0
195
0
09
14
06
180
10
13
07
0
11
12
08
15
0
195
0
180
09
14
15 16
10
13
07
0
11
12
08
14
0
0
45
N
0
30
0
15
0
289 HABITATBLE CELLS
S U S TA I N A B L E I R R I G AT I O N S Y S T E M
DESIGN PROPOSAL
BRANCHING MATRIX INITIAL FORM FINDING MODEL EXPERIMENT WITH THREADS SOLAR RADIATION ECO-PLANTS AND STATIONS STRATEGIC OVERVIEW ECO-FARM SECTION TECHNOLOGICAL DETAILS FINAL RENDER
1
20 BRANCHES
STRUCTURES WITHIN THE ECO-FARM
ECO-PLANTS & STATIONS
2
30 BRANCHES
3
40 BRANCHES
4
50 BRANCHES
5
EXTRACTION STATION
6
RECREATION - SLEEP POD