Sayali Lamne | LEED AP | Master of Science in Sustainable Design (MSSD) CMU |Architectural Portfolio

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Sayali Lamne Selected Work 1

SAYALI LAMNE LEED AP®

(412)-980- 1140 slamne@andrew.cmu.edu www.linkedin.com/in/arslamne https://slamne7.wixsite.com/work

EDUCATION

• Master of Science in Sustainable Design (MSSD) | GPA: 3.68/4.00 Aug 2021 - May 2023

Carnegie Mellon University, Pittsburgh, PA

Relevant Courses: Environmental & Building Performance Simulation, Fundamentals of Programming & Computer Science, HVAC & Power Supply for Low-Carbon Buildings, Scripting & Parametric Design, Shaping Daylight through Simulation an Virtual Reality, Sustainable Materials & Business Operations

• Bachelor of Architecture | GPA: 3.50/4.00 Jul 2013 - Mar 2018 Rachana Sansad’s Academy of Architecture Mumbai, India

PROFESSIONAL EXPERIENCE

Research Assistant - Center for Building Performance and Diagnostics | Prof. Vivian Loftness | CMU Jan 2022 - May 2023

• Devised a set of data-driven recommendations to achieve goal of decarbonization by 2050 in building industry and contributed to the report for NAS (National Academy of Sciences)

• Analyzed databases and reports from NREL, ACEEE, DOE, EPA, EIA, RMI, NBI, RECS, and CBECS to understand and estimate the quantitative potential of Renewable Energy (RE), Grid Efficiency, District Energy Management Systems, and Grid-Interactive Efficient Building (GEBs).

• Evaluated discrepancies & proposed innovative & cost-effective strategies to adopt rooftop Residential, Commercial, and Community Solar, and various Energy Storage Systems.

• Recommended improvements in policies for implementation of RE by analyzing investment and funding opportunities from the Infrastructure Investment and Jobs Act (IIJA) and Inflation Reduction Act (IRA) benefiting all the stakeholders & expedite the decision making process.

Research Assistant - CRuMBLE Material Research | Prof. Dana Cupkova | CMU May 2022 - Aug 2022

• Conducted experimental research on different samples of Asphalt recovered from waste of Asphalt shingles with variations in binders & evaluated for compressive strength.

• Illustrated comparative analysis and potential impacts of reusing material in reducing carbon footprint & benefiting circular economy.

Assistant Architect - Samir Chinai Associates, Mumbai, India May 2019 - May 2021

• LEED AP Building Design + Construction & LEED Green Associate Aug 2022 - Aug 2024 (Green Business Certification Inc. - GBCI)

• Council of Architects - India (Licensed Architect) Mar 2019

LICENSES & CREDENTIALS SKILLS

• Software: Rhino, GhPython, Grasshopper, Ladybug, Autodesk (AutoCAD, Revit, BIM, Dynamo,Navisworks), Climate Studio, Climate Consultant, EnergyPlus, eQuest, IES, Radiance, DIVA, Google SketchUp, V-ray, Adobe (Photoshop, InDesign, Illustrator, Lightroom)

• Programming Languages: Python, R

COMPETITIONS & AWARDS

• 1st Rank in India in Volume Zero Urban Design, 2018

• Top 10 at International level in G-Sen Urban Design by NASA (National Association of Students of Architecture), 2014

• Participated in Industrial Design Trophy (Group), 2015

• Participated in Asia’s Young Designer Award (Individual), 2019

WORKSHOPS

• Bamboo Construction, 2013

• Certified Course ‘Revit- BIM‘, 2015

• ‘Wall Art Project‘ by State Gov. of Maharashtra at Bhilar, India’s First Village of Books, 2016

• IGBC Green Building Congress, 2020

• Certification- ‘Sustainable Building Design‘ by Oneistox| Learning Experiences

• Earthen Architecture‘ & ‘Sustainable Water Management‘ by Auroville

• Certified course on ‘Rhino & Grasshopper’

• Constructed G.F.C., technical details, and working drawings for Salsette 27- a Platinum Pre-certified (by IGBC-Indian Green Building Council) high-rise residential project entirely developed using platform of BIM (LOD -3)

• Initiated paint scheme for entire Project.

• Produced 3-D visualizations & presentations, genarated Clash Detection Reports using Navisworks and managed integrated models.

• Coordinated with site & consultants. Collaborated with team on BIM 360

• Brainstormed massing strategies and shaped building block options for Palm Beach, Mumbai - a high rise residential project.

• Drafted interior design layouts for a pet shop in Mumbai.

• Revamped BOQs & flooring layouts for turnkey projects.

Revit Tutor (Freelance), Mumbai, India May 2019 - Jul 2021

• Spearheaded a course to build skills in 3D visualization, browser organization, massing, parametric modeling, shadow analysis, generating working drawings & building families, managing Integrated Models, and rendering using Revit as a tool & mentored trainees.

Design Intern - Ideas Beyond Architecture (IBA), Mumbai, India Nov 2016 - Feb 2017

• Drafted working drawings, Good for Construction (GFC), and architectural layouts for NESCO IT Park in Mumbai, Lotus resort in Jaipur and Lavasa cities. Revamped Master Plans.

• Designed and planned interior design layouts for a commercial building of JLL Real Estate Company.

• Conceptualized and developed facade designs and lobby Designs to refurbish the existing building of the NESCO IT Park and an office building in Thane.

• Fabricated interior design layouts for Old Bailey’s Cafe’, Mumbai

Lead Photographer - Open Bracket, T.H.O.T.P.O.T. & Freelance, Mumbai Feb 2017 - July 2021 (Architectural | Event | Modeling Photography)

• Accomplished more than 20 photography assignments small-scale modeling Photo-shoots for several brands to large-scale events such as weddings.

• Designed customized digital photo albums & ensured a satisfied clientele.

• Established a team of 5 including cinematographers and other photographers. Led Marketing, Management, and Sales to provide a holistic output.

CONTACT 2

Redefining the Relationship of Humans & their Co-inhabitants through Architecture

Waste Management Center, Mumbai

Environmental Performance Simulations (EPS)

Salsette-27, Samir Chinai Associates (SCA), Mumbai

Design Internship, Ideas Beyond Architecture (IBA), Mumbai

Sports Stadium Responsive System Rebrick Lay, Grasshopper Plug-in

Political Party Headquarter, Mumbai

Undergraduate Thesis Sustainable Design Professional Practice Computational Design Architectural Design

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Redefining the Relationship of Humans & their Co-inhabitants through Architecture

Undergraduate Thesis | 2018 B. Arch | Rachana Sansad’s Academy of Architecture, Mumbai

Location: Kharghar, Mumbai | Project Type: Public Plot Area: 2,178,002 sq. ft. (50 Acres) | Built-up area - 231,962 sq. ft. Type of Work: Individual

The aim of this research study was to design a space, where both humans & their co-inhabitants can interact with each other without the solid barrier of a cage, educate people about their surrounding indigenous species & ecosystem and conserve them.

This aim to conserve native flora and fauna and bring humans closer to their co-inhabitants in an urban context led to the proposal of a ‘Zoological Park’. It gives shelter to all the native non-human species struggling to survive in the wildlife due to various industrial or natural issues. The park was designed in such a way as to merge the adjacent mountain ranges of ‘The Western Ghats’ and house hundreds of species native to this tropical ecosystem. It also welcomes visitors, which are immersed in natural life and not vice versa.

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Water from the existing natural stream was diverted to form loops and spread across the site

LOCATION & DESIGN PROCESS

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Kharghar, Navi-Mumbai, India

RAINWATER HARVESTING

SUSTAINABLE MANAGEMENT STRATEGIES

RAINWATER HARVESTING WASTE MANAGEMENT ENERGY MANAGEMENT

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The proposal for the zoological park was based on an ‘Ex- situ conservation’ concept, which is part of the ‘Pan-situ conservation’ or ‘Hybrid conservation’ approach. Here animal enrichment is given the highest priority in a way to retain their natural behavior. So, when they are reintroduced back to the wild they can adapt to the environment. The adjacent views shows different architectural and landscape spaces designed to replace the solid barrier of the cage and merge them with the context.

1. Admin Block and Entrance Pavilion

Amphitheater and Snake House

Elephants’ Bathing Area 4. Lookout Viewing Trail in Tiger’s

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1. 2. 3. 4.
2.
3.
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Waste Management Center, Mumbai

Competition entry - Asia’s Young Designer Award | 2019

Location: Mulund, Mumbai | Project Type: Industrial & Public Plot Area: 435,583 sq. ft. (10 Acres) | Type of Work: Individual

The theme of this competition was to provide a design solution for the ‘Sustainable future’ of our built environment. Considering the exceeding amount of waste and shortage of landfill spaces in Mumbai a waste management center was proposed to replace an existing landfill site. The program is composed of a waste management area for the segregation of waste, a waste-to-electricity generation plant to produce ‘Clean Electricity’, a cow shed & organic farming, and workshop spaces for community artists, who can create crafts from recyclable waste.

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Site Location

Design Process Digram

Flow of the Waste Management System

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1. View through corridor 2. View from courtyard of the public area 3. View of the rooftop garden

14 1 2 3

Semi-open spaces such as connecting spaces with openings to frame views, staircases facing central courtyards, and courtyards on the building edges along with rooftop gardens are designed to make spaces interact with nature.

Further it helps to blur the boundary between inside and outside in the public area by creating flexible spaces and opportunities to connect with surrounding landscape.

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Environmental Performance Simulation (EPS)

Environmental Performance Simulation (EPS) | 2022

Simulation Studies | (MSSD) Carnegie Mellon University Tools: Rhino, Grasshopper, Climate Studio & Ladybug Plugi

Type of Work: Teamwork

The main aim of this course was to gain the experience of working in a multi-disciplinary team for simulation-aided design analysis and development for environmentally responsive and comfortable built environments. Next well-equip students with necessary computational skill sets to use physics-based software to extract numeric climatic data from standardized weather data files and transform the necessary data into design support information through weather data analyses supplemented with enhanced data visualization techniques for insightful interpretations and communications. The course has covered following studies:

A. Solar Radiation Studies

B. Visible Radiation (Daylight) Studies

C. Thermal Radiation Studies

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Image Source: Towseef Dar Shop

A. Solar Radiation Studies

This study aims to systematically apply a range of analytical methods for the quantification of solar radiation effects on the exterior building surfaces and ground planes on a selected project site. Further, develop an advanced understanding of the interactive effects of building & site design (such as building orientation), external elements (such as static shading devices), and local climate on solar resources in the form of time-aggregated radiation gains for improved environmental responsiveness and awareness of local environmental/natural sources.

Given Building Case

Solar Photo Voltaic Design

Axonometric view of our building case model. The highlighted grey portion is our case study building, and the blue highlighted portions are the glazing on our case study building

Task No. Task Description Findings

1 Location Name: Los Angeles International Airport

Latitude: 33.93 degrees N Longitude: -118.4 degrees (118.4 degrees W) Time Zone: -8 Elevation: 30

2 HDD and CDD Balance Temperature: 10 degrees Celsius HDD: 14.929 days, CDD: 2510.6 days

Balance Temperature: 18.3 degrees Celsius HDD: 818.621 days, CDD: 284.791 days

3 Dry-bulb temperature, relative humidity, and wind speed Min-Max: Dry-bulb: 5.6 - 32.2 degree Celsius Relative humidity: 10 - 100 % Wind speed: 0 - 15.4 m/s

4 Global, direct, and diffuse solar radiation intensity (SRI) Min-Max: Global SRI: 0 - 1.017 kWh/m2

Direct SRI: 0 - 0.953 kWh/m2 Diffuse SRI: 0 - 0.488 kWh/m2

5 Wind conditions Calm: 811 hours

Light Air: 63 hours

Gentle Breeze: 2512 hours

Strong Breeze: 24 hours

Strong Gale and Above: 0 hours Total: 3410 hours

6 Below freezing level (0 degree Celsius)

7 Temperature variation (13 - 29 degrees Celsius)

Hours satisfied the requirement: 0 hours

Hours satisfied the requirement: 7439 hours

8 Global solar radiation analysis Overcast/cloudy (100 - 400 kWh/m2): 1501 hours

Clear (>600 kWh/m2): 1265 hours

Total: 2766 hours

9 Sky analysis

Sunny/clear (sky cover<=30%): 4370 hours, 49.89%

Cloudy (sky cover>=70%): 3424 hours, 39.08%

Total: 7794 hours, 88.97%

A summary of the findings from the EPW file for the Base

1st Method : Creation of sky dome, which will show the patch with maximum radiation & locate the Angle(Top View & Perspective)

2nd Method : Using received solar radiation on a horizontal plane

Above two methods are used to find best HRA (Horizontal Angle) & VRA (Vertical Angle) to position the facing of the Solar Panels

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Workflow of Grasshopper using Ladybug plug-in for SED-I Surface com-

• SED I - Surface Comparisons (Annual):

Total annual SED on the Eastern facade is 746.94 kWh/m2

Total annual SED on the Southern facade is 1,002.07 kWh/m2

Total annual SED on the roof is 1813.21kWh/m2

• SED I - Surface Comparisons (Summer):

Total SED on the roof (Summer)- 496.01 kWh/m2

• SED I - Surface Comparisons (Winter):

Total annual SED on the Northern facade is 652.91 kWh/m2

Comparison of SED on each facade of the structure during various time period

Total SED on the Eastern facade (Summer)- 204.30 kWh/m2

Total SED on the Southern facade (Summer)- 266.14 kWh/m2

Total SED on the Northern facade (Summer)- 175.40 kWh/m2

Above analysis demonstrated that the roof is receiving the highest SED, which would be the best place for Solar panels to rest and generate renewable energy. As the southern facade is exposed to harsh sunlight, we proposed overhangs as a shading device. Considering the tropical climate of the L. A. these overhangs could be arcades, pergolas, or retractable roofs with shading combined with ventilation. Further, instead of long overhangs, we provided louvers to bring cool breezes & dense vegetation to block the sun. The northern facade can have skylights or glazing, which will allow light without heat gain. Deciduous trees can be planted on the Eastern facade, as during summer, they will give shade, and winter will let the space be warm after fall.

Total SED on the Eastern facade (Winter)- 182.280 kWh/m2

Total SED on the Southern facade (Winter)- 182.280 kWh/m2

Total SED on the roof (Winter)- 417.22 kWh/m2

Total SED on the Northern facade (Winter) - 160.42 kWh/m2

SED I - Surface Comparisons
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• SED II - Orientation (Annual):

Total SED(N-0) 509.03kWh/m2

Total SED(N-90) 495.21kWh/m2

• SED I - Surface Comparisons (Summer):

Total SED(N-0) 509.03kWh/m2

Total SED(N-180) 521.74kWh/m2

Total SED(N-270) 538.61kWh/m2

Sun-Path Diagramming with Shadow Ranges

Total SED(N-90) 495.21kWh/m2

• SED I - Surface Comparisons (Winter):

Total SED(N-0) 509.03kWh/m2

Total SED(N-180) 521.74kWh/m2

Total SED(N-270) 538.61kWh/m2

Total SED(N-90) 495.21kWh/m2

Total SED(N-180) 521.74kWh/m2

Total SED(N-270) 538.61kWh/m2

Comparison of Total SED with different orientations of the structure

Butterfly shadow diagrams for winter and summer solstice and fall and spring equinox

SED II
- Effect of Building Orientation
September
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June 21
22 December 21 March 20 N N N

B. Visible Radiation (Daylight) Studies

This study aims to identify how basic principles of photometry and optics can be used to generate and evaluate a comprehensive set of daylight harvesting design strategies for building spaces. Acquire necessary skills (Rhino-Grasshopper ClimateStudio with Radiance illumination algorithm) to systematically apply a range of analytical methods for the quantification of a “luminous environment” within an architectural space.

Given Building Case

Visual Acuity Evaluations I -Daylight Factor Visualization

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Space Assignment and Baseline Furniture Layout Case Building in Los Angeles

Design Iterations - Material Change

• The existing design of the building is experiencing high ASE, glare and illuminance issues. Thus, to control the natural daylight and create visual comfort for the office environment materials, which are matte or has low reflectance and opaque are proposed to reduce the glare .

• To bring more natural light inside the conference room as well, materials of ‘Window Glazing‘, ‘Skylight Glazing‘, & ‘Internal Wall‘ are changed and the best option is chosen to proceed further.

Goals

- Increase % of area with DF between 2 and 5

- Increase Mean and Median

- Increase % of Area which is valued between 300-3000 lux

- Increase Median Illuminance

- Increase sDA and LEED Credits earned

- Equally distribute illuminance

Internal

Material Changes for Design Iteration

Daylight Factor- Baseline Daylight Factor- Iteration 1 Daylight Factor- Iteration 2

Colour-coded Daylight Factor Visualization

Iteration Daylight Factor % of Area Meeting the Standards Mean DF Median DF

Baseline

DF>=2% 28.54 2.18% 0.4% DF>5% 17.52 2%<=DF<=5% 11.02 1 DF>=2% 74 4.6% 4.9% DF>5% 39 2%<=DF<=5% 13.37 2

DF>=2% 76 4.9% 4.0% DF>5% 44 2%<=DF<=5% 19.7

Daylight Factor Data Comparison

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Areas Baseline Material Change-1 Material Change-2 Glazing Clear Float Glass Clear 6 [mm]-Single Layer Azuria Clear Argon (Two Pane Glass) Clear-Clear-Clear Skylight Glazing Clear Float Glass Clear 6 [mm]-Single Layer Clear Clear-Clear-Argon
Wall Wall LM83 Clear Sapphire
A room is considered well lit is when the daylight factor reaches at least 2% and less than 5%, but supportive artificial light may still be required. Lastly, there will be no need for artificial light if the daylight factor is over 5% but might feel vigorously lit.

Baseline Visual Acuity Evaluations II - Point-in-Time Illuminance

This section explored the illuminance on the working plane (desk surface) at specific times and dates, 9:00 a.m. and 3:00 p.m. on March 21st and December 21st. The target range is between 300 lux (Target lux) and 3000 lux (Excessive lux).

Climate-Based Annual Daylighting Evaluations

March 21st 9am -Iteration 1 March 21st 9am - Baseline March 21st 9am - Iteration 2
21st
March 21st 3pm -Iteration 1 March 21st 3pm - Baseline March 21st 3pm - Iteration 2 December 21st 9 a.m. December 21st 9am -Iteration 1 December 21st 9am - Baseline December 21st 9am - Iteration 2 December 21st 3 p.m. December 21st 3pm -Iteration 1 December 21st 3pm - Baseline December 21st 3pm- Iteration 2
Baseline Design Iteration1 Design Iteration 2
Daylight Autonomy (sDA) Mean Illuminance Annual Sunlight Exposure (ASE) Baseline Design Iteration1 Design Iteration 2 Baseline Design Iteration1 Design Iteration 2 70.63% 745 lux 38.63% 72.86% 781.04 lux 38.86% 31.89% 612 lux 18.29% 21 Median Illuminance Data Comparison Climate Based Annual Daylight Evaluation
March 21st 9 a.m.
March
3 p.m.
The following simulations were done for the open office space, with a schedule of 8 am- 6 pm on Mondays through Fridays with DST. The simulations were also calculated for the entire year. The metrics measured are spatial daylight autonomy [% of area], annual sunlight exposure [% of area], LEED v4.1 credits earned, and mean illuminance [lux].
Spatial

Visual Comfort Evaluations I - Annual Glare Analysis

This section explored the possible glare that may adversely affect the occupants in the assigned case buildings. When the DGP (Daylight Glare Probability) falls between 0.35 and 0.40, the occupant can detect the glare, but it will not cause trouble. However, when the DGP is between 0.40 and 0.45, the occupant will feel disturbed by the glare, and they will seek another place for working due to the intolerable glare when DGP is over 0.45.

B. Visual Comfort Evaluations II - Point-In-Time Glare Analysis

The point for this analysis has been selected to understand the glare while all the windows are within the camera range. We understand that this requires the camera to be in a corner where there will be imperceptible glare (according to the simulations) but it provides a wholesome analysis by considering the high illuminance surfaces and it can be interpreted that the locations with high illuminance will experience glare during these times.

EV =992 lux DGP = 0.04

Imperceptible

Baseline (DGP>0.34) Design Iteration1 (DGP>0.34) Design Iteration 2 (DGP>0.34)

Baseline (DGP>0.38) Design Iteration1 (DGP>0.38) Design Iteration 2 (DGP>0.38)

EV =608 lux DGP = 0.28 Imperceptible

EV = 1055 lux DGP = 0.29 Imperceptible

EV = 747 lux DGP = 0.28 Imperceptible

EV = 1176 lux DGP = 0.32 Imperceptible

Baseline (DGP>0.45) Design Iteration1 (DGP>0.45) Design Iteration 2 (DGP>0.45)

EV =770 lux DGP = 0.28 Imperceptible

Metric Baseline Iteration 1 Iteration 2 Iteration 3 sDG (% of Views) 18.43 24.64 36.25 38.12
a.m.
21st at 9 a.m.
21st
June 21st at 9 a.m. June
12.99% 9.16% 5.55% 14.11% 9.94% 6.29% 9.60% 6.80% 4.70% Perceptible Glare Disturbing Glare
Glare 22
December 21st at 9
March
March
at 3 p.m.
21st at 3 p.m. December 21st at 3 p.m.
Intolerable

C. Thermal Radiation Studies

This study aims to be able to conduct a set of manual parametric analyses using the computational tools (Rhino-Grasshopper ClimateStudio with EnergyPlus engine) by varying physical (geometric) and thermo-physical properties of building components and systems and evaluate subsequent effects on the thermal performance of an architectural space. Further, “spatial comfort analysis” was used for quantification and graphical representation of occupants’ thermal comfort in indoor building spaces.

Given Building Case

Case Building in Los Angeles

Building Element CS Thermal Assembly U-Factor (W/m2.K)

External Wall Medium Office-3B Steel Frame NonRes Ext Wall 0.694

Internal Wall Medium Office-3B Int Walls 2.388

Slab/Floor Medium Office-3B Ext Slab 1.805

External Glazing Medium Office-3B Non-Res Fixed Assembly Window Frame: “On” Frame Conductance: 5.68 W/m2K Frame Width: 0.05m (5cm)

Interior Shading Not Included

Skylights Medium Office-3B Non-Res Fixed Assembly Window Frame: “On” Frame Conductance: 5.68 W/m2K Frame Width: 0.05m (5cm)

3.236

Baseline Hourly Temperature Analysis

3.236

Baseline Spatial Thermal Comfort Analysis

Roof Medium Office-3B IEAD Non-Res Roof 0.364

Building Envelope Assignment

CS Zone Tab Input Parameter Input Value and Units

Loads Occupant Density Open Office: 0.23 people/m2 Conference: 0.19 people/m2

Loads Equipment Power Density (EPD) (~ Equipment)

Open Office: 22 W/m2 Conference: 2.38 W/m2

Default thermal model parameters

Coldest day Hottest day

Results of Spatial Thermal Comfort Analysis for Open office without HVAC

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Components and simulation results for an extremely cold week in an open office Open office extreme cold & extreme hot week hourly temperature (degree C)

Baseline Hourly Heat Gains & Losses Analysis

Baseline Heating & Cooling Energy Consumption Analysis

The data collected on 21st Jan for Heat Loss & 21st July for Heat gain, and then graphed to segregate the Total Heat Loss and Heat gain by different components

Above workflow shows the Total Annual Heating & Cooling Energy Consumption by the baseline model and then graphed into Monthly Energy Consumption

Baseline Mapping Loads Data onto Thermal Zone Geometries

Baseline Whole-Building Environmental Performance Analysis

Above workflow maps the Thermal Load Data onto the Thermal zones of the given Geometry

Performance of the Whole Building along with Monthly Disaggregated EUI

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Design Iterations: Change in Heating-Cooling Mechanical System Types

This design change aims to increase the efficiency of the Mechanical system without compromising the occupant’s comfort level. The same Rhino model is used as the baseline to do the design iterations. The heating and cooling conditions for two thermal zones, Open Office- Core & Conference Room- Perimeter, are changed. As we wanted to increase the overall performance of a given commercial building, we opted for three different ‘Heat Pump Systems’ options for both heating & cooling and increased their COPs, keeping the rest of the setting untouched. Thus, we tested ‘Air source heat pump,’ ‘Water source heat pump,’ & third ‘Ground source heat pump’ and increased their efficiency respectively. For each option, we ran the simulations and analyzed the ‘Overall Building Performance’.

Properties Base case HVAC system -1 HVAC system -1 HVAC system -1

System Heat Pump Air-Source Heat Pumps Water Source Heat Pump Ground Source Heat Pump

Heating System COP 3.419 3.81 4 5

Cooling System COP 2.967 3.22 3.66 4.21

Heat Recovery Ventilator (HRV) OFF Type: Sensible OFF Type: Sensible OFF Type: Sensible OFF Type: Sensible

HRV Effectiveness (Sensible Recovery Ratio/ Latent Recovery Ratio)

0.70/ 0.65 0.70/ 0.65 0.70/ 0.65 0.70/ 0.65

Economizer No Economizer No Economizer No Economizer No Economizer

Baseline & three other options tested for HVAC systems with changes in COPs.

Performance Base case HVAC system -1 HVAC system -2 HVAC system -3

Site EUI (kWh/m2/yr) 84.94 83.51 81.97 79.9

CO2 Emission (kgCO2/m2/yr) 44.85 44.09 43.28 42.19

Energy Cost ($/m2/yr) 10.67 10.48 10.29 10.03

Comparison of Results - -1.60% -3.50% -5.93%

After running the simulation and changes for each option the differences found in overall building performance

Performances of existing HVAC system for baseline with other options

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Professional Practice: Samir Chinai Associates, Mumbai

Professional Practice: Samir Chinai Associates | 2019-2021

Location: Byculla, Mumbai | Project Type: Residential Built-up Area: 544,523.40 sq. ft | Type of Work: Team Worked on: Working Drawings, Details, 3-D modeling using Revit & Navisworks, Collaboration using BIM 360, Presentations, Co-ordination with other Consultants & Site

Samir Chinai Associates (SCA) is a Mumbai-based multi-disciplinary firm providing comprehensive services in Architecture, Urban Planning, Interior Design, and Value engineering. As an assistant architect, I worked on multiple residential projects using tools such as Building Information Modeling (BIM), and Navisworks and collaborated with other consultants.

Constructed G.F.C., technical details, and working drawings for Salsette 27- a Platinum Pre-certified (by IGBC-Indian Green Building Council) high-rise residential project entirely developed using platform of BIM (LOD -3). Initiated paint scheme for entire Project. Produced 3-D visualizations & presentations, genarated Clash Detection Reports using Navisworks and managed integrated models. Coordinated with site & consultants. Collaborated with team on BIM 360.

Brainstormed massing strategies and shaped building block options for Palm Beach, Mumbai - a high rise residential project. Drafted interior design layouts for a pet shop in Mumbai. Revamped BOQs & flooring layouts for turnkey projects.

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27 Context & Site Location
Design Process:
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Design Internship: Ideas Beyond Architecture (IBA), Mumbai

Ideas Beyond Architecture (IBA), Mumbai | Nov 2016 - Feb 2017

Type of Projects: Urban Planning, Residential, & Commercial

Type of Work: Team Work | Worked on: Design Development, Working Drawings, Architectural Drawings, Bill of Quantities

Drafted working drawings, Good for Construction (GFC), and architectural layouts for NESCO IT Park in Mumbai, and Lotus resort in Jaipur and Lavasa cities. Revamped Master Plans. Designed and planned interior design layouts for a commercial building of JLL Real Estate Company. Conceptualized and developed facade designs and lobby Designs to refurbish the existing building of the NESCO IT Park and an office building in Thane. Fabricated interior design layouts for Old Bailey’s Cafe’, Mumbai

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Architects | Interior Designer | Urban Planners

Commercial Office Building (Thane): Facade Design

Worked on the Design development stage from start and came up with an envelope design that can enhance the existing structure.

Existing Site Stage-1 Stage-2 After Execution

Worked on mood board, Design development, Material selection, and Architectural drawings.

After Execution

Initial Architectural Drawings

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Old Bailey’s Caffe’, Seawoods Grand Central Mall (Navi-Mumbai): Interior Design

Sports Stadium 06

Parametric Modeling | 2021

Digital Skills Workshop | (MSSD) Carnegie Mellon University

Tools: Rhino & Grasshopper | Type of Work: Individual

This project was a part of the Digital Skills Workshop. The purpose of this assignment was to introduce parametric modeling and the use of the Grasshopper scripting platform as a design tool at various scales and contexts.

The design approach was divided into three steps: seating arrangement, truss profile, and roof. For this project, the overall stadium design was inspired by the Bejing National Stadium (Bird’s Nest) and Guggenheim Museum Bilbao by architect Frank Gehry. A responsive envelope was created assuming building-integrated PV panels along with metal panels, which would change their rotation angle based on the location of the sun.

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A conceptual representation of rotating building-integrated PVs and metal panels of the responsive envelope based on the sun path

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The structural framework which can change based on seating arrangement Responsive envelope

07Responsive System

Parametric Modeling | 2022

Scripting & Parametric Design | (MSSD) Carnegie Mellon University

Tools: Rhino, Grasshopper, & Gh Python | Type of Work: Individual

The assignment was to design a responsive pattern from transformable geometries and an attractor system. The computational goal was to develop a parametric geometry based on points and curves using Gh Python as a tool and apply knowledge of multi-dimensional lists, loops, recursions, and data trees. For this project, an openable, parametric, and responsive facade was created to control the amount of sunlight coming through the glass wall of Hunt’s library on the CMU campus.

The design approach was inspired by the opening and closing of a Daisy flower. Based on its design a single repetitive unit was made to create a pattern. The conceptual design was transformed into a triangular geometry to create a structural framework and panels. Further, a sun path is used as a parameter to make the responsive pattern.

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Conceptual Design Sketch

A single unit geometry transformed into openable pattern using a parameter (t)

Transformable geometry of the facade changing using attractor point system of the location of the sun

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Responsive façade based on the sun path

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ReBrick Lay 08

Grasshopper Plugin | 2022

Scripting & Parametric Design | (MSSD) Carnegie Mellon University

Tools: Rhino, Grasshopper, & Gh Python

Type of Work: Teamwork with Sanjana Nagraj

The project goal was to design and develop a custom Grasshopper Plugin, a toolkit that can support complex, repeated, or laborious design processes and helps designers explore diverse design solutions.

For this assignment, we focused on the circular economy. Almost 20% of C & D waste comprises bricks and more than 75% goes to landfills. There are many limitations in reusing these reclaimed bricks, which makes it difficult to use them. Thus, we created a customized plugin using ghPython, which can take the data of these reclaimed bricks and help designers, architects, and engineers to visualize n number of patterns and return an exact number of bricks used from each batch of bricks for it. This can not only reduce construction waste but encourage a circular economy in the building industry.

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Logo of the Customized Plug-in

The algorithm for the plugin is divided into 6 parts from input to output. For input a brick batch parameter will take these parameters to create a 1-D list. Combine data will combine data from these lists to give a 2-D list. Apart from these users must select a wall geometry and an attractor point. These batches will get sorted based on their compressive strengths. Next it will access starting points of each panel, which will get divided in primary and secondary distribution to add bricks based on the given dimensions. At the end it will provide number of remaining bricks from each batch after their use for constructing the wall & create patterns. Users can select their preference through attractor point system.

Algorithm of the Workflow

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Script created using Customized Grasshopper Components
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List of Starting Points Primary Distribution Add Bricks Secondary DistribuRemaining Starting Count Remaining Number of Bricks Examples of Customized Grasshopper Components created in GhPython

Different Wall Patterns can be created by changing User’s Preferences

The attached video will demonstrate the geometric logic and the custom plugin components in detail YouTube link to the video: https://youtu.be/-qUj-xfQrp8

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Political Party Headquarter, Mumbai

Architectural Design Project | 2018

B. Arch | Rachana Sansad’s Academy of Architecture, Mumbai University

Location: Administrative Headquarters, Mumbai Type of Project: Private Built-up Area: 215,278 sq. ft | Type of Work: Individual

The project brief was to design a headquarter for a national political party of our choice. The program included both public and private spaces. Private spaces were accessible to only the members of the party. The Design of the headquarters must reflect an ambiance conducive to securely conducting political business, rallies, meetings, etc yet being transparent to public interaction.

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43 N DESIGN PROCESS

The design concept was inspired by the phrase ‘unity in diversity’. This was translated into the design in the form of different 3-D geometries such as cylinders, cones, cuboids, etc to form a consolidated mass as a whole.

The central courtyard subtly separates the private and public sections from each other. The conical-shaped roof in the foyer bringing skylight depicts the transparency between the political party and the public. Further, the terraced green roofs bring more sunlight and ventilation along with opening the facade for more views of the scenic ocean views.

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CIRCULATION DIAGRAM SECTION AA’ (THROUGH AUDITORIUM)

More work

https://slamne7.wixsite.com/work

+1(412)-980-1140 | slamne@andrew.cmu.edu

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