Sample Work_Yan by YAN CHEN

SAMPLE PORTFOLIO

YAN CHEN

01. SAMPLE BLOCK OF ZERO CARBON CITY

01 THE GATEWAY TO ZERO CARBON CITY Manchester School of Architecture, 09. 2020 -05. 2021 Thesis Project (Groupwork: Mainly take the responsibility of theory study, Grasshopper Script Coding, Design outcome data analysis, Visualization, Promo Video Production) Northern Gateway, Manchester Skills & Software: Rhino, Grasshopper, Python, AutoCad, Unreal Engine, Enscape, Photoshop, Illustrator, Premiere

Gateway to Zero-carbon City consulted on using a generative approach to resolve the contradictory correlation among morphological compactness, building solar optimisation and green space distribution to design a Net Zero-Carbon Northern Gateway. The project utilised the Complex Adaptive Theory & Resilience Theory as the lens to understand the design problems. The developed generative tool aims to minimise building energy demand and enhance the utilisation ratio of solar energy to respond to the challenge brought out by Manchester City Council and Northern Gateway developers.

STEP 1 •

A N A LY S I N G C H A L-

STEP 2 •

LENGE RELATED DATA •

FORMULATING DESIGN

•

PROBLEM •

THEORY RESEARCH

•

DEFINING DESIGN PRINCIPLE

DEFINING THE SPA-

STEP 3 •

TOOL’S FUNCTION

CLARIFYING THE

BOTH AT URBAN

DESIGN TOOL LOG-

LEVEL AND BLOCK LEVEL

IC •

FINALIZING THE

TIAL STRATEGY

EXPERIMENTING THE POSSIBILITY OF

•

STEP 4 •

DESIGN TOOL

STEP 5 •

INTERFACE USABILITY AND VISU-

APPLICATION

ALIZATION •

GENERATED OUTCOME ANALYSIS

•

DESIGN OUT-

BUILDING UP THE

COME VISUALIZA-

INTERFACE

TION

THE TOOL

02. PROJECT ROAD MAP

RESILIENCE & COMPLEX ADAPTIVE SYSTEM OF GENERATIVE PROCESS

Adaptive Behaviour

Carbon emission problem New urban form

Emergence

Urban

Negative[-] Positive [+]

The effect of Adaptive behaviour on the process of urban resilience was clearly defined in three levels (Urban, Block, Building). This theoretical framework drove the main design concept and spatial strategy formulation. Afterwards, the grasshopper-based scripting aimed to achieve the spatial strategy by steps and also responded to resilient thinking by establishing the generative process

Drive

Self-Organising Green Space Morphology Plot Scale & Relationship

Adaptive Behaviour

Drive

Development limited New Block pattern

Emergence

Negative[-] Positive [+]

Block

Original Urban fro m Need to develop

Self-Organising

Building Typology Assigning & Optimization

Building Density

Building Type Building Hight Building Weight & Depth

Low-energy City Zero-carbon City

CO2 Emissions CO2 EmissionsCO2 Emissions

Low-Energy City

Low-carbon City

CO2 Emissions CO2 Emissions CO2 Emissions CO2 CO2 CO2 CO2 Emissions Sequestration Sequestration - - + CO2 -- + - + Sequestration Sequestration

CO2 Emissions CO2 Emissions CO2 EmissionsCO2 Emissions CO2 - + Sequestration

Evolution

ergy Input

Energy Input

Current Urban Form

Adaptive Adaptive

Adaptive

Evolution

Adaptive

Evolution Adaptive

Adaptive

Emissions

uestration

CO2 Emissions CO2 Emissions CO -CO-2 + -2 + Sequestration Sequestration

- -

enweable Renweable Renweable nergy Output Energy Output Energy Output

On-Site Energy Generation

Evolution

CO2 Emissions CO2 Sequestration

Evolution

CO2 Emissions CO2 Emissions CO-2 CO - 2- + + Sequestration Sequestration

Adaptive

Evolution

Demolished Energy Input Low Energy Input

Evolution Net Zero-Carbon City

Zero-carbon City

CO2 Emissions CO2 Sequestration

CO2 Emissions CO2 Emissions CO2 CO2 Sequestration Sequestration

Low-carbon City CO2 Emissions CO2 Sequestration

Evolution

Adaptive

CO2 Emissions CO2 Sequestration

On-Site Energy Generation

On-SiteOn-Site EnergyEnergy Generation Generation

On-Site Energy Generation

Adaptive

Land-use Allocation

Adaptive Evolution

Adaptive

Low-Carbon City

Low-carbon City

Low Energy Input

Low-energy City

Evolution

CO2 Emissions CO2 Sequestration

CO2 Emissions

Building In Use

Adaptive

- -

RenweableLow Energy Input Energy Output

Scatter Green Space Adaptive Evolution

On-Site Energy Generation

Evolution

On-Site Energy Generation

Adaptive

Evolution Improve Compactness

On-Site Energy Generation

-- +

Adaptive

Low Energy Input

Adaptive

Low Energy InputLow Energy Input Low Energy Input

Low Energy InputLow Energy Input Low Energy Input Renweable Energy Output

Low-carbon City Low-carbon City Low-carbon City

On-Site Energy Generation

CO2 Emissions CO2 Emissions - 2 CO2 CO Sequestration+ Sequestration

Sequestration

Evolution

On-Site On-Site Energy Energy Generation Generation

Evolution

Low-energy City Low-energy City Low-energy City

bon City Zero-carbon City Zero-carbon City

- -

Adaptive

Adaptive Evolution

On-Site Energy Generation

Adaptive

Zero-carbon City

CO CO22 Emissions

New Building types

Energy Input Low Energy Input

Low Energy Input

CO2 Emissions

Lose value

CO2 Emissions

Self-Organising

Adaptive

Evolution

Drive +

Emergence

CO2 Emissions CO2 Sequestration

Building

Adaptive

Low efficiency

Negative[-] Positive [+]

Skills Application: a. Urban Design Theory application, b. Basic Computational Logic and pseudo code Formulation, c. Rhino Modelling & Grasshopper- based Coding, d. Block Level Visualization Production

Original Block pattern

Adaptive CO Emissions Behaviour -

CO2 Emissions

Energy Input

Building Configuration

01. THEORETICAL FRAMEWORK. 02. THEORY-BASED DESIGN CONCEPT 03. SAMPLE BLOCK VISUALIZATION CO Emissions 04. KEY COMPUTATIONAL PROCESSES & METHODS

On-Site Energy Generation

Adaptive

CO2 Emissions CO2 Sequestration

Equilibrium of On-site Energy Generation and Energy Demand

Low Energy Input

Renweable Low Energy Input Energy Output

Achieve Negative Energy Demand

Adaptive Evolution

CO2 Emissions CO2 Emissions COCO 2 - 2- + + Sequestration Sequestration

On-Site Energy Generation

Adaptive

Adaptive Evolution

On-site Energy Generation

- -

On-Site Energy Generation

Urban Pattern Generation

Adaptive

Low Energy InputLow Energy Input Low Energy Input

Green Amenity Distribution 800m Transit Supportive Area

400m

Transit neighbourhood

Transportation Hub

800m Transit Supportive Area

400m

Transit neighbourhood

Transportation Hub

0.316 245

225

720,000

0.314

3.1

1.0

316 240

220

215 235

314 312

710,000

0.312

230

205

308 306

0.306

70,000

Coding the design tool in grasshopper & Python helps apply the generic Algorithm to achieve the iterative generation and evaluation.

560,000 540,000

396,000

550,000

19,000

60,000 520,000

540,000 394,000

500,000

18,500

530,000

0.4 2.8

50,000

The design tool adjusted key variables in each step for different iterations. The Evaluation process will test and record the data according to the key criteria metrics as demonstrated in Data Mapping. The Listed Metrics Categories closely Link To Criteria Of Low Carbon Urban Form And Brief Requirements.

Iteration i

480,000

392,000

520,000

18,000

0.2

680,000 0.304

560,000

19,500

0.8

2.9

690,000

398,000

0.6

0.308

310 210

3.0

0.310

700,000

GENERATIVE PROCESS OUTCOME EVALUATION & DATA ANALYSIS

570,000

318

460,000

40,000

510,000

2.7

If the Annual Electricity Generation / Consumption>=90% Annual Electricity Consumption (GWh)

Annual Electricity Generation

(GWh)

Solar Irradiation (GWh/m2)

Potential Solar Panel Area(m2)

Plot Cover age

FAR

H/W (Aspect Ratio)

Green Amenity Area (m2)

Residential Unit Number

Commercial Total Area (m2)

Office & Co-working Total Area (m2)

Public Service Total Area (m2)

Yes

Selected Iterations were analysed regarding their potential to achieve electricity surplus in the coming future (current ratio of Electricity Generation / Consumption ≥ 90% ). The iterations performance in other criteria metrics is various that still need to be evaluated and selected by tool and users.

01 ITERATION 1

ITERATION 2

ITERATION 3

ITERATION 4

Select the iterations

If any iteration perform as the best in any other criteria metrics

that have best performance in every each criteria metrics Electricity Consumption

Electricity Consumption

Electricity Generation

Green Amenity Area

Residential Unit

Yes ITERATION 5

ITERATION 6

ITERATION 7

ITERATION 8

Iteration i

Electricity Consumption

Electricity Generation

Green Amenity Area

Residential Unit

Store the data

Potential comparable iterations

Potential iterations for user to Select

Electricity Consumption

01. PERFORMANCE CRITERIA METRIC MAPPING 02. ITERATIONS COLLECTION 03. ITERATION SELECTION MECHANISM 04. ITERATION DATA IN-DEPTH ANALYSIS

Skills Application: a. Rhino Modelling and & Grasshopper-based Coding, b. Collected Data Analysis 03

GENERATION PARAMETER ITERATION 9

ITERATION 10

ITERATION 11

ITERATION 12

ITERATION 2

ANNUAL ELECTRICITY GENERATION

Electricity Consumption

Electricity Generation

Green Amenity Area

Residential Unit

Electricity Consumption

Electricity Generation

Green Amenity Area

Residential Unit

ITERATION 14

ITERATION 15

128

Low

Plot Length:

RESIDENTIAL UNIT

64 ITERATION 13

Vertical Randomness Seed:

Plot Width:

SOLAR IRRADIATION Electricity Consumption

OPTIMIZATION PARAMETER

High

Horizontal Randomness Seed: 120

180

Low

High

Building Orientation:

ITERATION 16

Land-use Location Seed: 65 % Mixed Distribution

North

South

East

West

Isolated Distribution Voxel Units to transform:

Electricity Consumption

Electricity Generation

Green Amenity Area

Residential Unit

Electricity Consumption

Electricity Generation

Green Amenity Area

Residential Unit

Residential Office + Co-working

ITERATION 17

ITERATION 18

Typology Average Footprint (L * W):

Commercial

ITERATION 19

Public

ITERATION 20

Min

Max

Low

High

Floor numbers for solar accessibility : 0

EVALUATION RESULT Electricity Consumption Electricity Generation

Electricity Consumption Electricity Generation

Green Amenity Area

Residential Unit

Electricity Consumption

Electricity Generation

Green Amenity Area

Residential Unit

Plot Coverage

FAR ITERATION 21

ITERATION 22

ITERATION 23

Annual Electricity Consumption (GWh)

245GWh

3.13

Annual Electricity Generation (GWh)

224GWh

0.23

Surplus Ratio (Electricity Generation/ Consumption)

0.315

ITERATION 24

H/W (Aspect Ratio)

93%

Residential Unit Number

Green Amenity Area (m2)

Percentage of 5min Green Amenity walkability

19804

395035

86%

The Higher value represents high compactness.

Electricity Consumption

Electricity Generation

Green Amenity Area

Residential Unit

Solar Irradiation (GWh)

319.9GWh

INTERFACE REVIEW AND MANUAL

An easy-use app was developed to accommodate the functions of the proposed design tool. The Data readout and 3D interface visualization can be switched between three different scales (Urban, Block, Building) The interactive interface was constructed in Unreal Engine, which allows target users to investigate and select the potential outcomes in different scales. 01. INTERFACE DEMONSTRATION (BLOCK & BUILDING LEVEL) 02. INTERFACE DEMONSTRATION (URBAN LEVEL)

Skills Application: a. Rhino Modelling and & Grasshopper-based Coding, b. Interface Build-up in Unreal Engine

STEP-1

USER SETTING

HYBRID BUILDING TYPOLOGY VISUALIZATION

STEP-2

STEP-3 SELECTED BUILDING PERFORMANCE & DATA

AUTOMATIC GENERATION

STEP-4

EXPECTED PERFORMANCE TOWARDS ZERO CARBON

STEP-5

BUILDING LEVEL

OUTCOMES

• • •

HYBRID BUILDING TYPOLOGY PERFORMANCE DATA OF BUILDING THE EXPECTED PERFORMANCE OF HYBRID BUILDING TYPOLOGY (UNDER FUTURE SCENARIO)

01 URBAN ITERATION PERFORMANCE AND ATTRIBUTE

02 ADAPTIVE SKY COMMUNITY

Deansgate Manchester

This project tested out the potential to design the high-rise timber residential tower with Hybrid Modular System. The CLT panel residential unit modular integrates with precast concrete structure modular to de-liver an adaptive and sustainable living environment. A vertical mixed-use space breaks the barrier of resident’s interaction in general high-rise living condition.

Skills & Software: CLT Modular Research, 3D Modelling (Rhino & Grasshopper), Visualization (Vray, Enscape, PS, UK Building Reg Alignment)

01. TOWER BLOCK 02. TYPICAL FLOOR PLAN 03. EAST ELEVATION

04. UNITISE FACADE & CLADDING CONSTRUCTION 05. FACADE DETAIL SECTION

6. 3. 7. 6. 6.

6. 3.

6. 6.

1. SMALL UNIT (48SQM) 2. MEDIUM UNIT (72SQM) 3. LARGE UNIT (92 SQM) 4. CHATTING ZONE 5. FAMILY/PERSONAL STUDY ZONE 6. CORRIDOR RESTING AND COMMUNAL SPACE 7. LIFT LOBBY

N 02

140MM CLT LOAD-BEARING (FIRE RESISTANCE 60-90) 100MM FIREPROOF ROCK WOOL THERMAL INSULATION 170*95MM BATTEN 700*280*40MM I-BEAM 100MM FIREPROOF ROCK WOOL THERMAL INSULATION 140MM CLT LOAD-BEARING (FIRE RESISTANCE 60-90) 60MM VENTILATION DUCT 20MM CEILING FINISHES 50*30MM STEEL FRAMEWORK 34MM DOUBLE GLAZING 8MM METAL BALCONY CLADDING 8MM ALUMINIUM FRAME OF UNITISED COMPONENT

LOAD-BREAING FRAMEWORK

BALCONY

DOUBLE GLAZING

ALUMINIUM FACADE COMPONENT

FIREPROOF ROCK WOOL

UNITISD BALCONY

SHEAR WALL ALUMINIUM CLADDING

RESIDENTIAL BEDROOM

Academic Project (Individual)

COMMUNAL CAFE

02. 2020 -05. 2020

COMMUNAL CAFE

Manchester School of Architecture

TOWER BLOCK CONSTRUCTION: CLT MODULAR RESIDENTIAL UNIT • PRECAST CONCRETE SHEAR WALL • WITH CLADDING • PRECAST CONCRETE CORE CLT PANEL FLOOR SLAB • GLT COLUMNS / STEEL COLUMNS •

COMPONENT A

COMPONENT B

TOILET

BEDROOM B

ESSENTIAL COMPONENT A LIVING ZONE

KITCHEN

BEDROOM A

ESSENTIAL COMPONENT B

Two essential components can composite multiple function modular; further modular start to formulate the residential unit

CONSTRUCTION OF COMPONENT: • VAPOUR / WATER PROOF MEMBRANE • CLT PANEL • VENTILATION DUCT • GLT BEAM/ BATTEN • DRAINAGE PIPE • FIREPROOF ROCK WOOL

01.UNIT MODULAR SYSTEM 02. STRUCTURE AXONOMETRIC (TOWER & PODIUM) 03. SAMPLE UNIT 04. COMMUNAL AREA + DISABLE FRIENDLY CORRIDOR

CONCRETE CORE CLT PANEL & STEEL FRAME COMPOSITES MEGA SLAB PREFABRICATED CONCRETE SHEAR WALL

GLT COLUMNS

STEEL COLUMNS

GLT BEAM PREFABRICATED CLT COMPOSITE PANEL SLAB

ALUMINIUM FACADE CLADDING

CLT PANEL SLAB

GLT COLUMNS PREFABRICATED CLT PANEL UNIT

ALUMINIUM FACADE CLADDING

UNITISED FACADE /GLAZING ALUMINIUM FACADE CLADDING

PRIMARY MEGA STRUCTURE ROOF GARDEN

INTERNAL CORRIDOR STRUCTURE

PODIUM SKY LIGHT CONCRETE CORE/ LIFT GLT COLUMN & BEAM PODIUM TOILET

PODIUM FACADE MULLION & VENTILATION CLT & CONCRETE COMPOSITE FLOOR SLAB CLT PANEL ASSEMBLING INCUBATOR UNIT

COMMUNAL POCKET SPACE

INTERNAL CLT CORRIDOR SLAB PODIUM ATRIUM STAIRCASE RESIDENTIAL TOWER CORE PODIUM GLAZING FACADE

MODULAR UNITS

CAR PARKING ENTRANCE

03 FUTURE DIDSBURY REGENERATION

CAFE SITTING AREA CAFE KITCHEN + COUNTER

Manchester School of Architecture 09. 2019 -12. 2019 Academic Project (High-street Regeneration: Groupwork. Retail Renovation: Individual) Skills & Software: Urban Design Principle Application, High-street Renovation Reg Alignment, 3D Modelling (Rhino), Visualization (Vary)

This project contains the regeneration in both urban level and building level. The focus of the entire project is to essentially improve access and ease of movement for pedestrian and vehicle used; meanwhile to sustainably reuse the existing building. The Shared Space is the driven concept to achieve public accessibility in the new master plan. The new mixed-use layout boosts the inclusive design of the selected retail. 01. THREE KEY URBAN AREA REDESIGN 02. NEW PROPOSED MASTERPLAN 03. ACCESSIBILITY IMPROVEMENT OF RETAIL

RESIDENTIAL UNIT

PITCHED TIMBER ROOF -COLD DECK,ROOF TILES

FLAT TIMBER WARM ROOF

04. CONSTRUCTION AXO OF RETAIL RENOVATION 05. NEW INTERNAL LAYOUT AND FURNISHING

IN TA

O ET

TIMBER FLOATING FLOOR

CAFE SITTING AREA CAFE KITCHEN + COUNTER CAFE DISABLE TOILET

EXISTING BRICK PARTITION WALL

RESIDENTIAL UNIT

01 LE

LIF

DIS

Didsbury Library

Didsbury library + New Square

CONCRETE BLOCK GRAVITY WALL + PRECAST CONCRETE

TIO

IN TA

T RE

03 01 Abandoned Police Station

SOLID BRICK WALL WITH NEW ADDED INTERNAL THERMAL INSULATION

STEAL FRAME WITH TIMBER CLADDING SHOP-FRONT

Community Centre

01 Abandoned petrol station

Didsbury Play Ground

04 IDEA STORAGE Welsh School of Architecture 12. 2016 -05. 2017 Academic Project (Individual) Cardiff, Bay

Skills & Software: Geometry/ Form Finding Research, Spatial Typology Research, 3D Modelling (Rhino & Grasshopper), Visualization (Vary)

The project attempts to explore a new approach to exchange and transmit knowledge through the creation of new public library typology. The fluid architecture language and reinterpretation of geometric complexity was applied to design a spatial continuity. The Idea Storage ( basing on the combination of co-working space and circulation space) provides new experience of knowledge production, exchanging and interaction.

HELCOID SURFACE

UTILIZING THE CENTRE SPINE OF HELCOID SURFACE

RHEOTOMIC SURFACE

FURTHER ADJUST THE BOUNDARY OF CENTRAL SURFACE AND THE ORIENTATION OF EACH PROGRAM

RHEOTOMIC SURFACE MODEL

DUAL RHEOTOMIC SURFACE MODEL

HELCOID SURFACE MODEL

HELCOID SURFACE MODEL 2

TO FIT THE SIMILAR EDGE CONDITION WITH RHEOTOMIC SURFACE

MIRROR THE SURFACE TO UTILIZE THE CONTINUITY ON BOTH VERTICAL AND HORIZONTAL

REGENERATE THE BOTTOM OF EACH BLOCKS TO DEFINE THE GROUND LEVEL SPACE WITH LANDSCAPE

COMBINE WITH REGENERATED LANDSCAPE SURFACE

01. MINIMAL SURFACE TRANSFORMATION AND ADAPTATION TO PROGRAM 02. FLOOR PLANS OF FOUR MAIN LEVELS 03. BOUNDARY-LESS TRANSITION FROM INTERNAL TO EXTERNAL. 04. PHYSICAL TESTING OF GEOMETRY FINDING 05. CONSTRUCTION AXONOMETRIC 06. INTERTWINEMENT OF CONTINUE SURFACE, FUNCTION, ACTIVITIES AND COMPLEX STRUCTURE SYSTEM

EXTEND EDGE OF CENTRAL SURFACE TO DEFINE THE ACTUAL PROGRAM LOCATION

ALSO CONTAIN THE MOST EFFICIENT VERTICAL CIRCULATION

LANDSCAPE STUDY MODEL

ROOF LEVEL

R LEVEL

2ND FLOO

1ST FLOO

R LEVEL

GROU

ND LE

LAB

TOR ORA

UP GRO ZONE K WOR

CH SPEE E ZON

IA MED E ZON

NE DESIG E ZON

IT GEEK ZON E

INNE R REFL E -CTIO N ZON E

BASE

MENT

WRIT ER ZON E

PHYS IC INFO AL R TION MAZON E

ADM IN TION ISTRAZON E

AUD IT

VEL

LEVE

ORIU