ZHANG YAN_Work Samples_Mar.2013 by Zhang Yan

CONCEPT | COMPUTATION | CONSTRUCTION ZHANG YAN (RYAN) | WORK SAMPLES | Mar 2013

Master Plan 1:10000 Master Master Plan Plan 1:10000 1:10000

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s Bredt s Bredt

1.1 SHANGHAI ORIENTAL SPORTS CENTER 1.1 SHANGHAI ORIENTAL SPORTS CENTER STATUS STATUS LOCATION LOCATION SITE SITE PROGRAM PROGRAM CLIENT CLIENT BUDGET BUDGET DESIGN ROLE DESIGN ROLE

Design begin in Sep 2008, completed and Design open to begin publicininSep Jul2008, 2011 completed and open to public in Jul 2011 Shanghai, P.R. China Shanghai, China 34.75ha inP.R. Pudong District, Shanghai 34.75ha GFA in Pudong District, Shanghai area Total 163,088sqm(above-grade Total GFA basement 163,088sqm(above-grade 89,368sqm, area 73,720sqm) area 89,368sqm, basement areaof 73,720sqm) Shanghai Administration Sports Shanghai Administration of Sports RMB 2.6 billion RMB 2.6 billion Form finding and parametric modelling Form finding and phase parametric modelling from competition to construction from competition phase to construction phase, construction detail design for phase, and construction detail stadiums design and for facade roof of three facadecenter and roof of three stadiums and media building media center building

ZHANG by YAN Marcus | PORTFOLIO | 4 Site Photo Bredt

ZHANG YAN | PORTFOLIO | 4

PARAMETRIC MODELLING

A parametric 3D-model was established for each stadium through software, Grasshopper - a visual geometric scripting tool. This software very intelligently helps to describe the construction geometry precisely and at the same time is capable of adjusting the geometric system efficiently. All the parameters in every stage are recorded and able to be changed in later design phases, which will make the rapid change of the final geometry much easier than the traditional way of geometry defining.

DEFINE AXIS & KEY POINTS

Top

Front

GEOMETRY FINDING PROCESS

STANDARD GEOMETRY DEFINED BY KEY POINTS

Left

All Geometry for One Truss

Geometry Series for All Trusses

Computation Computation As the geometry logic diagrams are shown below(Grasshopper screen shot of Gymnasium in Construction phase), every important stages are marked out andof illustrated As the geometry Design logic diagrams are shown below(Grasshopper screen shot Gymnasium with graphic explanation. in Construction Design phase), every important stages are marked out and illustrated with graphic explanation.

Geometries to be Boolean

Split and Final Result of One Truss

Geometries to be Boolean Split and SUBTRACT GEOMETRY BY BOOLEAN FUNCTION SUBTRACT GEOMETRY BY BOOLEAN FUNCTION

Final Result of One Truss

MULTIPLE PROCESSES MULTIPLE PROCESSES

DUPLICATING FINAL GEOMETRY DUPLICATING FINAL GEOMETRY

ZHANG YAN | PORTFOLIO | 14 ZHANG YAN | PORTFOLIO | 14

Computation

Construction

PARAMETRIC MODELLING FOR STRUCTURE DESIGN

It was necessary to consult back and forth with the structural engineer on questions related to steel structure axis(1), facade cladding substructure thickness(2) or weather concrete bracing platform could be fit in to the geometry(3). With the parametric model, we could adjust the cladding geometry instantly and visually(4).

Cladding

Main Structure

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Construction

Computation

PARAMETRIC MODELLING WITH DATABASE In more detailed facade design, such as facade division and perforation hole position, there will be more data involved, thus database control could help to manage massive data generated by the elective design options.

Facade Division Options of Gymnasium 1: Aluminium - Max panel width: 2.5 m 2: GRC - Max panel width: 4.5 m (Glass-fiber Reinforced Concrete)

Grasshopper Model of Natatorium and Database Controller of Division Number

Media Center Facade Options with Different Perforation Pattern Distribution

Media Center Facade Database of Perforation Pattern Distribution

ZHANG YAN | PORTFOLIO | 16

GYMNASIUM BUILDING AREA: 75,145sqm 75,145sqm SEATS: 18,000 STRUCTURE SPAN: 156m ELEVATION HEIGHT: 39m This stadium stadiGeometry: This um is largest of of the is thethelargest the three. Its main strucstructural system is composed composed of ten parallel trusses trusses that continuously adapt adapt in scale according to the the structural needs, genergenerating this unique archiarchitecture. The significant significant span was the greatest greatest challenge of this strucstructural design.

ÂŠ Marcus Bredt

East Elevation

South Elevation

I Floor Plan Level 1

Roof Plan

Section I-I

NATATORIUM BUILDING AREA: 43,228sqm SEATS: 5,000 STRUCTURE SPAN: 109m ELEVATION HEIGHT: 23m Geometry: Since the competition phase, this stadium was developed with 13 parallel structural trusses that forms this unique rectangular architecture whose center geometry is compressed. The nature light shines into this building through sky light at two structure trusses and glass curtain, and the light suddenly creates various phenomenon in the transparent façade.

II East Elevation

I Section II-II

II Floor Plan Level 1

Roof Plan

South Elevation

Section I-I ZHANG YAN | PORTFOLIO | 8

STATUS LOCATION SITE PROGRAM CLIENT BUDGET DESIGN ROLE

Construction design in progress, design began in 2010.08 Shanghai, China 23,280sqm at Hongmei Road, Tianlin Road, Shanghai Total GFA 89,055sqm Caohejing Development CO., Shanghai, P.R.China RMB 340 million Caohejing High-Tech Development Corporation Concept, Parametric Facade System, Master Plan, Floor Plan, Section, Elevation, Basement and Sunken Garden, drawing production and 3D-model, rendering

1.2 CAOHEJING SOHO

Computation

3 FULL YEAR SHADOW

LANDSCAPE openness openness openness openness openness

openness openness openness openness openness

5 4 3 2 1

COMPREHENSIVE

5 SOUTH-NORTH DIRECTION openness openness openness openness openness

5 4 3 2 1

4 ELEVATION HEIGHT OF VIEW openness openness openness openness openness

5 4 3 2 1

openness openness openness openness openness

5 4 3 2 1

PARAMETRIC FACADE SYSTEM In order to take best use of the view to the landscape and the city context, and reduce the cooling energy cost, the facade unit with variation at their opening rate at different position is one method according to the comprehensive analysis result(1). Technically, the building surface is divided into finite elements, and evaluated through several single analyses such as full-year sun shadowing, height, south-north direction, landscape and public openness(2-5). Then the individual analysis values are combined according to the weight of importance into a comprehensive evaluation value.

‘Script written by popabczhang Option ‘Script Explicitcopyrighted by popabczhang ‘Script‘Script writtenversion by popabczhang 2011.11.30 18:18:33 ‘Script copyrighted by popabczhang ‘Script version 2011.11.30 18:18:33 ‘’’ Global Variables Dim blnPrint : blnPrint = True ‘’’ Global Variables Dim deleteProgress : deleteProgress = True Dim blnPrint : blnPrint = True Dim blnRedraw : blnRedraw = True Dim deleteProgress = True Dim strGround: :deleteProgress strGround = “1023d860-041d-4ffc-b6eb-4f3850cf6ec8” Dim blnRedraw : blnRedraw = True Dim strGround : strGround = “1023d860-041d-4ffc-b6eb-4f3850cf6ec8” ‘’’ Calls Call reflectionAnalysis() ‘’’ Calls Call reflectionAnalysis() ‘’’ Subs Sub reflectionAnalysis() ‘’’ Subs Sub reflectionAnalysis() Dim i,j,k,t1,t2,t3,t4,t5,t6,t7 Dim arrStrGlassPanels,strGlassPanel,arrVectorSun Dim i,j,k,t1,t2,t3,t4,t5,t6,t7 Dim strReflectionPolyline Dim arrStrGlassPanels,strGlassPanel,arrVectorSun Dim strReflectionPolyline startTime = Now If Not blnRedraw Then Rhino.EnableRedraw False startTime = Now If Not ‘get blnRedraw Then Rhino.EnableRedraw False arrStrGlassPanels arrStrGlassPanels = Rhino.ObjectsByLayer(“glass panel”) ‘get arrStrGlassPanels arrStrGlassPanels = Rhino.ObjectsByLayer(“glass panel”) ‘get arrSunVector t1 = rhino.GetObject(“getSunVector”) ‘get arrSunVector t2 = rhino.CurveStartPoint(t1) t1 = rhino.GetObject(“getSunVector”) t3 = rhino.CurveEndPoint(t1) t2 = rhino.CurveStartPoint(t1) arrVectorSun = Array(t3(xx)-t2(xx),t3(yy)-t2(yy),t3(zz)-t2(zz)) t3 = rhino.CurveEndPoint(t1) arrVectorSun = rhino.VectorUnitize(arrVectorSun) arrVectorSun = Array(t3(xx)-t2(xx),t3(yy)-t2(yy),t3(zz)-t2(zz)) arrVectorSun For i == 0rhino.VectorUnitize(arrVectorSun) To UBound(arrStrGlassPanels) Rhino.EnableRedraw False For i = 0 To UBound(arrStrGlassPanels) strGlassPanel = arrStrGlassPanels(i) Rhino.EnableRedraw False strReflectionPolyline = UnitLoop(strGlassPanel,arrVectorSun) strGlassPanel = arrStrGlassPanels(i)= False Then If Not strReflectionPolyline strReflectionPolyline ‘Call = UnitLoop(strGlassPanel,arrVectorSun) rhino.ObjectLayer(strReflectionPolyline,”reflection results”) If Not strReflectionPolyline = False Then Call rhino.ObjectName(strReflectionPolyline,”reflection”) End If ‘Call rhino.ObjectLayer(strReflectionPolyline,”reflection results”) Call rhino.ObjectName(strReflectionPolyline,”reflection”) If blnRedrawUnit = True Then Rhino.EnableRedraw True End If If blnRedrawUnit = True Then Rhino.EnableRedraw True ‘ time description If i Mod 30 = 0 Then ‘ time description Dim strTime : strTime = GetTimeDescription( startTime, (i+1)/(UBound(arrStrGlassPanels)+1) ) If i Mod 30 = 0 Then Rhino.Print i+1 & “ of “ & UBound(arrStrGlassPanels)+1 & “ glass panels (“ & Int((i+1)/(UBound(arrStrGlassPanels)+1)*100) & “%) Dim strTime : strTime = GetTimeDescription( startTime, (i+1)/(UBound(arrStrGlassPanels)+1) ) completed. “ & strTime End If Rhino.Print i+1 & “ of “ & UBound(arrStrGlassPanels)+1 & “ glass panels (“ & Int((i+1)/(UBound(arrStrGlassPanels)+1)*100) & “%) completed. “ & strTimeNext End If Next Rhino.EnableRedraw True End Sub Rhino.EnableRedraw True End Sub ‘’’ Functions Function UnitLoop(strGlassPanel,arrVectorSun) ‘’’ Functions Function UnitLoop(strGlassPanel,arrVectorSun) ‘dim Dim i,j,t,tt,t1,t2,t3,t4,t5,k,kk,k1,k2,k3,k4 ‘dim Dim arrPt1,arrPt2,arrPt3,arrPt4,arrPt0,arrParameter,arrNormal Dim i,j,t,tt,t1,t2,t3,t4,t5,k,kk,k1,k2,k3,k4 Dim blnNotInShadow,blnReflectionNotBlocked Dim arrPt1,arrPt2,arrPt3,arrPt4,arrPt0,arrParameter,arrNormal Dim arrVectorReflection Dim blnNotInShadow,blnReflectionNotBlocked Dim strReflectionPolyline Dim arrVectorReflection Dim arrReflectedPt1,arrReflectedPt2,arrReflectedPt3,arrReflectedPt4 Dim strReflectionPolyline Dim arrReflectedPt1,arrReflectedPt2,arrReflectedPt3,arrReflectedPt4 If Not blnRedrawUnit Then Rhino.EnableRedraw False If Not arrParameter blnRedrawUnit= Then Rhino.EnableRedraw False Array(0, 0) arrParameter = rhino.SurfaceParameter(strGlassPanel,arrParameter) arrParameter 0) arrPt1 == Array(0, rhino.EvaluateSurface(strGlassPanel,arrParameter) arrParameter = rhino.SurfaceParameter(strGlassPanel,arrParameter) arrParameter = Array(1, 0) arrPt1 arrParameter = rhino.EvaluateSurface(strGlassPanel,arrParameter) = rhino.SurfaceParameter(strGlassPanel,arrParameter) arrParameter 0) arrPt2 == Array(1, rhino.EvaluateSurface(strGlassPanel,arrParameter) arrParameter = rhino.SurfaceParameter(strGlassPanel,arrParameter) arrParameter = Array(1, 1) arrPt2 arrParameter = rhino.EvaluateSurface(strGlassPanel,arrParameter) = rhino.SurfaceParameter(strGlassPanel,arrParameter) arrParameter 1) arrPt3 == Array(1, rhino.EvaluateSurface(strGlassPanel,arrParameter) arrParameter = rhino.SurfaceParameter(strGlassPanel,arrParameter) arrParameter = Array(0, 1) arrPt3 arrParameter = rhino.EvaluateSurface(strGlassPanel,arrParameter) = rhino.SurfaceParameter(strGlassPanel,arrParameter) arrParameter 1) arrPt4 == Array(0, rhino.EvaluateSurface(strGlassPanel,arrParameter) arrParameter = rhino.SurfaceParameter(strGlassPanel,arrParameter) arrParameter = Array(0.5, 0.5) arrPt4 arrParameter = rhino.EvaluateSurface(strGlassPanel,arrParameter) = rhino.SurfaceParameter(strGlassPanel,arrParameter) arrParameter 0.5) arrPt0 == Array(0.5, rhino.EvaluateSurface(strGlassPanel,arrParameter) arrParameter = rhino.SurfaceParameter(strGlassPanel,arrParameter) arrNormal = rhino.SurfaceNormal(strGlassPanel,arrParameter) arrPt0 = rhino.EvaluateSurface(strGlassPanel,arrParameter) arrNormal = rhino.SurfaceNormal(strGlassPanel,arrParameter) ‘shadow check arrStrVolumnSunShadow = rhino.ObjectsByLayer(“shadow volume”) ‘shadowIfcheck Not shadowAnalysis(arrPt0,arrVectorSun,arrStrVolumnSunShadow) Then arrStrVolumnSunShadow blnNotInShadow = rhino.ObjectsByLayer(“shadow volume”) = True If Not End shadowAnalysis(arrPt0,arrVectorSun,arrStrVolumnSunShadow) Then If blnNotInShadow = True End If ‘draw reflection If blnNotInShadow Then

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7 7:0 8 8:0 9 9:0 10 10:0 11 11:0 12 12:0 13 13:0 14 14:0 15 15:0 16 16: 17 17:0

Construction

Computation

Construction

s was limited down to nine. These nine types of alysis. Construction

s was limited down to nine. These nine types of pes of alysis.

CODED LIGHT POLLUTION CONTROL

00 00 #4 00 00 N 00 9 00 00 00 00 :00 00

7:00 8:00

9:00

B#5

10:00 11:00 12:00 13:00 14:00

15:00 16:00 17:00

7:00 8:00 B #8 9:00 7:00,17:00 10:00 H S 11:00 Solar Altitude of Vernal Equinox 12:00 13:00 14:00 15:00 16:00 17:00

7:00 8:00

12:00 11:00,13:00 10:00, 14:00 9:00,15:00 #9 8:00,16:00

12:00 11:00,13:00 10:00, 14:00 9:00,15:00 8:00,16:00

9:00 10:00 11:00 12:00

7:00,17:00 S

13:00 14:00 15:00 16:00 17:00

SUN LIGHT REFLECTION(LIGHT POLLUTION) CONTROL The Chinese building authorities normally require the analysis of sun light reflection for facade approval. Because of the feature of this project, there is difficulty to analysis over 1500 units in different angles manually. Thus I wrote a script to analysis on multiple units.

Solar Azimuth of Vernal Equinox

DETAIL A FACADE OVERVIEW 1:100

FACADE OVERVIEW 1:100 A-A

The analysis illustrates the sun light reflection position from 7:00 a.m. to A-A Equinox. And the red drawings on ground is the outline FACADE 7:00 p.m. on vernal of reflection at 14:00 p.m. The result shows that the continuous reflection of sun light is efficient avoid because the facade glass panels are turning from unit FACADE DETAIL 1:15 to unit.

Sun light reflected onto ground

B-B Building B

Building C

ZHANG YAN | PORTFOLIO | 26

2.1 BEZALEL ACADEMY OF ARTS AND DESIGN, JERUSALEM 2.1 BEZALEL ACADEMY OF ARTS AND DESIGN, JERUSALEM DESCRIPTION DESCRIPTION This thesis design project This thesis designby project was generated a compuwas tational generated by a compualgorithm, which tational which takes algorithm, function relationtakes function relationships between over 150 ships between 150 studio rooms over into considstudio rooms After into consideration. generating eration. After generating more than 20,000 possible more than 20,000 options, the possible most optioptions, the was most opti- as mized one selected mized was floor selected as for theone final plan the this final floor plan for building. this building. Further than the nonlinFurther than the nonlin- the ear logic algorithm, ear final logic geometry algorithm, of the curved final geometry of curved walls and glass curtains walls glass curtains by was and also generated was programming. also generated by programming. AWARD AWARD Excellent Undergraduate Excellent Undergraduate Design Thesis of The ColDesign of The Col- and legeThesis of Architecture lege of Architecture and Urban Planning, Urban Planning, Tongji University Tongji University

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QUANTIFICATION OF PROJECT CONDITION

The project contains over 150 rooms with different functions and complex relationships(1). Normally human beings can only take limited relationships into 3) EVALUATION, OPTIMIZATION AND SE consideration. It is not possible for one to arrange the room plan according to both for example the college relationships and the function similarity ICATION 1) relationships QUANTIFICATION OF PROJECT CONDITION OFtime. PROJECT CONDITION 2) GENERATION OF GENERATION POSSIBLE MASSIVE OF POSSIB OP at same So it is necessary to unify and quantify these relationships, as well as site zoning(2), into a mathematical description. Below shows2) The Most Optimised Opti ect contains The project over 150 contains rooms over with 150 different rooms functions with different and complex functions relationships(1). and complex relationships(1). Normally human beings Normally canhuman only beings take limited can only relationships take limitedinto relationships In into the programming process, the programming all proces are written programIn specially forrooms this pr tion. Itconsideration. is not possible It for is not one possible to arrange forthe oneroom to arrange plan according the roomtoplan bothaccording for example to both the college for example relationships the college andrelationships the function and similarity the function relationships similarity relationships circles. Attempts circles. are between made Attempts to the arrange are the mad relationship links related ime. So at it same is necessary time. So to it unify is necessary and quantify to unify these andrelationships, quantify theseas relationships, well as site zoning(2), as well as into site a zoning(2), mathematical intodescription. a mathematical description. Below are the Algorithm Below demonstrates are Diagrams: the Algorithm D Option successfully the sho

Room Area arranging Small, to algorithm

Priority, Room Area from Big arranging to optimise Small, the to efficiency. algorithm

Bounding Test Priority, dancy, from Big to to prom irregular optimise theshap and to optimis efficiency. gorithm effici

Calculation Special Elements, Special such Elements, such be as atrium, staircase as atrium, or staircase Different or Leve multiple level funcmultiple level indirect func- and i ience are calc tions. tions. a Multiplier t distance.

1. Relationship Between 1. Relationship Studios Between Studios

2. Site Zoning for 2. Function Site Zoning Distribution for Function Distribution

EVALUATION, OPTIMIZATION AND SELECTION

On the left-up part there are Program Controller, such as “Start”, “Pause”, “End”, and Below shows The Most Optimised Option in the interface of the self-written Algorithm Parameters such as “Maximum Room Number”, “Bump Tolerance”, “Loop Limitation” program specially for this project. The red lines represent the relationship and etc, which make the generating processleft-bottom open and adjustable. On are the Text left-bottom part for “Room Position”, betweenofthethe related function rooms. rooms The Most Optimised Option successfully ion in the links interface selffunction than an Average Possible Option. part there Data Records there Data Records for“End”, “Room Position”, and “Evaluation Score”, the shorterthe sum-upOn distance betweenpart related function rooms than an roject. The demonstrates red lines represent the left-up there are Program Controller, suchare as Text “Start”, “Pause”, “Links” “Links” and “Evaluation Score”, whichwhich establish the database of database of massing options massing and their evaluation scores.evaluation scores. AverageThe Possible Option. d function rooms. Most Optimised and Algorithm Parameters such as “Maximum Room establish Number”, the “Bump Tolerance”, “Loop options and their

ELECTION

orter sum-up distance between related

Limitation” and etc, which make the generating process open and adjustable. On the

2.2 COLUMBIA BUILDING INTELLIGENCE PROJECT

TYPE INSTRUCTOR TEAM

DESIGN ROLE

Design Studio David Benjamin ZHANG Yan, LIN Fanyu, Christos, Feathah, Hannah, Rustem Team Leader, Concept Developing, Parametric Modelling with Catia and Multi-objective Performance Simulations and Optimizations with Solidworks, Robot, Galapagos and ModeFrontier

Parametric Form Finding

Performance Simulation

Multi-Objective Optimization

2.3 M.O.F.F. / Multi-Objective Form-Finding TYPE COURSE INSTRUCTOR

DESIGN STATEMENT

Building Technology Research Paper Digital Detailing Toru Hasagawa, Mark Collin

The M.O.F.F. Project aims to develop a methodology in architecture design field, which take advantages of both computational power and human intelligence. Issue like aesthetic value quantification was rarely been

04020 00020 00000 16

addressed or solved regardless nowadays how computational ability was rapidly advanced. M.O.F.F. provides a new way to think of aesthetic value statistically, and to balance the objective and subjective design aspects through a adaptive design procedure.

01020075 0581 0393 0966 0136 03 03030066 0047 0007 0059 0105 01 01010172 0248 0736 0052 0162 01 18

2.4 SWARM INTELLIGENCE - PHOTO-MORPHOGENESIS TYPE INSTRUCTOR TEAM

Visual Study Roland Snook ZHANG Yan, MIAO Mengna, ZHONG Zheng

Agent Behaviour Diagram

DESIGN STATEMENT

Time

The agentsâ&#x20AC;&#x2122; behaviour is influenced by light. The space inside repels the agents and the agents form a path which enables the space to receive sunlight. The morphology is defined by the angle of the sun and the radius and position of the space.

Range Of Vision

Space Radius

Sun Angle

2.3 5 TALL EMBLEM STRUCTURE FOR ZA’ ABEEL PARK, DUBAI

PROJECT LOCATION TEAM

Sightseeing Tower in Public Park, international design competition Za’Abeel Park, Dubai, UAE Professor SHI Yongliang, ZHANG Yan, TENG Fuhai

FOREST’S ENERGY This design paid attention to three advantageous resources on the site: Sunlight, Water and Space. The design strategy of the plan is: Creating a Tall Emblem Structure comprised of these essential factors with interdependent relations among them. This idea is derived from the symbiosis attribute of forest system. The forest, the most appropriate symbol to represent life on the earth, is used to show the vitality of the modern city in a desert – Dubai, and even to show a great future that people desire. It is the theme of the plan alter the method of obtaining energy and turn the numerous drilling platform into thick forest. The forest scene is not only a review of the magnificent history of Dubai, but also an expectation for future. Dubai is willing to regard oil as an initial power of the development of future economy. And the new trade and the service business will become Dubai’s next target. Creating another “Forest’s scene” is Dubai’s and even the UAE’s dream. Technically, power Sheets (a kind of thin-film solar cells) will be fixed on the Tensegrity (extreme light, wind resistant tension structure). Solar energy will support all the facilities running in the park. Erecting columns and circular stairs just likes Tower of Babel in the history of Arab, which stands for the glorious hope for future. Three sightseeing platforms are distributed from height of 250 meters to 320 meters. 49

SINKING IN LANDSCAPE: All the indoor functions except the entrance are underground and melted into the landscape under the “Forest”. Natural light is maximized trough skylights and roof openings.

3 1

1. Floor Plan Level 1 2. Perspective Overview

SINKING IN LANDSCAPE: All the indoor functions except the entrance are underground and melted into the landscape under the “Forest”. Natural light is maximized trough skylights and roof openings.

3-4. Power Sheets in Tensegrity

6 1

5 2

Level 1 5-7. Floor SunkenPlan Functions in landscape Perspective Overview

3-4. Power Sheets in Tensegrity

6 5

5-7. Sunken Functions in landscape

ZHANG YAN | PORTFOLIO | 50 ZHANG YAN | PORTFOLIO | 50

A4816 . CLIMATIC DESIGN AND CONCEPTUALIZATION FALL . 2012

PHOENIX 33° 27’ 0’’ N, 112° 4’ 0’’ W

SHADING Design_Rotating Shading Device

A4816 . CLIMATIC DESIGN AND CONCEPTUALIZATION FALL . 2012

PHOENIX 33° 27’ 0’’ N, 112° 4’DESIGN 0’’ W 2.6 CLIMATIC - GA DAYLIGHT AUTONOMY OPTIMIZATION Rotating Sun ShadingDAYLIGHT DeviceAUTONOMY GENETIC ALGORITHM OPTIMIZATION - Baseline Test 3D Diagram: Explosive Diagram of Rotating Sun Shading

TYPE INSTRUCTOR TEAM

DESIGN STATEMENT

Visual Study John J. Lee, Shrikar Bhave ZHANG Yan, Renwick CHAN, Chris

The Rotating Sun Shading is a climate responsive device that can adapt to different sun angle changes and at the same time, its a muti-functions sustainable design invention, The rotatable sun shading may block the unwanted sunlight from different angles. The inner surface material might be semi-reflectice and can use as a reflector if needed. During the raning seaon, it might also use as a rain water collector when it rotate to the bottom of the circle.

Outdoor

Indoor

Outdoor

Indoor

A4816 . CLIMATIC DESIGN AND CONCEPTUALIZATION FALL . 2012

Section 01

Section 02

N RADIATION ANALYSIS

Rotating Sun Shading Device

A4816 . CLIMATIC DESIGN AND CONCEPTUALIZATION FALL . 2012

8 am

Diagrams- Rotation

10 am 01

NOON

S02: 90 degree

S04: 270 degree

4 pm

Rotating Sun Shading

6 pm

A4816 . CLIMATIC DESIGN AND CONCEPTUALIZATION FALL . 2012

SHADING VIEW FROM SUN

A4816 . CLIMATIC DESIGN AND CONCEPTUALIZATION FALL . 2012

PHOENIX 33° 27’ 0’’ N, 112° 4’ 0’’ W

3° 27’ 0’’ N, 112° 4’ 0’’ W

3° 27’ 0’’ROOF N, 112° 4’ 0’’ W

S03: 180 degree

2 pm

A4816 . CLIMATIC DESIGN AND CONCEPTUALIZATION FALL . 2012

NORTH

SOUTH

EAST

Daylight Autonomy Front Elevation View

6/21

ROOF

10 am

NOON

6 am

A4816 . CLIMATIC DESIGN AND CONCEPTUALIZATION FALL . 2012

8 am

10 am

2 pm

NORTH

NOON

2 pm

4 pm

6 pm

Ryan . Renwick . Chris

4 pm

ROOF

NORTH

Balance of Analysis Resolution and Time: Mid Resolution GENETIC ALGORITHM OPTIMIZATION - Design Case

Ryan . Renwick . Chris

SOLAR RADIATION RADIATION ANALYSIS WEST

DECEMBER 21 NOON 2 pmwith 4 pm GA Optimization Galapagos

8 am 10 am Rotatable Shading System

DAYLIGHT AUTONOMY ROOF

PHOENIX 33° 27’ 0’’ N, 112° 4’ 0’’ W

Section 04

Section 03

S01: 0 degree

8 am

Indoor

A4816 . CLIMATICRainDESIGN AND CONCEPTUALIZATION FALL . 2012 Water Collector

NIX 33° 27’ 0’’ N, 112° 4’ 0’’ W

Explosive Diagram 01 Rotatable Sun Shading 02 Glazing 03 Track Ring 04 Track 04 Handrail

Outdoor

Starting from carefully analysis Phoenix’s climate data, this project not only develops a high efficient rotatable sun shading system, but also employees Genetic Algorithm as a A4816 . CLIMATIC DESIGN A4816 AND. CLIMATIC CONCEPTUALIZATION DESIGN ANDFALL CONCEPTUALIZATION . 2012 FALL . 2012 GENETIC ALGORITHM GENETIC OPTIMIZATION ALGORITHM - Design OPTIMIZATION Case - Design Case AUTONOMY DAYLIGHT AUTONOMY tool to DAYLIGHT optimize the daylight distribution in the interior environment.

Indoor

ROM SUN

6 am

A4816 . CLIMATIC DESIGN AND CONCEPTUALIZATION FALL . 2012

6 pm

SOUTH

EAST

DAYLIGHT AUTONOMY

WEST

GENETIC ALGORITHM OPTIMIZATION - Design Case

A4816 . CLIMATIC DESIGN AND CONCEPTUALIZATION FALL . 2012

ROOF

SOUTH

EAST

MARCHA4816 21 . CLIMATIC DESIGN AND CONCEPTUALIZATION FALL . 2012

9/21

View from Sun Analysis

WEST ROOF

JUNE 21

Perspective: South WestPerspective: | WindowsSouth has metal West | Windows shading only has when metal radius shading larger onlythan when0.6 radius meterlarger than 0.6 meter

NORTH

SOUTH

NORTH

SOUTH

EAST

WEST

Fitness / Score

12/21 1st Floor

2nd Floor

ROOF NORTH Solar Radiation Analysis

1st Floor

2nd Floor

3rd Floor

SOUTH

Random Gene Result - Fitness* : 264.568

3rd Floor

Optimized Result of Daylight Autonomy

Optimized Gene Result - Fitness* : 246.324

4th Floor

5th Floor

4th Floor

5th Floor

EAST

ROOF

WEST

EAST

WEST

Perspective: Interior South

CURRENT ADDRESS 517 WEST 113th ST APT 72 NEW YORK, NY10025, U.S. TEL +1(917)767-3589 EMAIL POPABCZHANG@GMAIL.COM WEB POPABCZHANG.BLOGSPOT.COM