Architecture Portfolio | Antariksh Ghengare | 2021

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SPACE PORTFOLIO


ANTARIKSH GHENGARE अंतिरक्श घेंगारे Designing has always been my favourite hobby, I am a strong believer in the ability of Architecture and research combined with design thinking for strengthening our societies and having a positive effect on the world. The approach to my designs is very simplistic and minimalistic inspired by sustainability and incorporating the contemporary elements of design.

Hinganghat, Maharashtra, India ar.antariksh@gmail.com +91 9960284041


EDUCATION School St. John High School, Hinganghat, India

B.Arch Malviya National Institute of Technology, Jaipur, India

08/2013 - 06/2018

M.Arch School of Architecture, Tianjin University, Tianjin, China

09/2018 - 06/2021

WORK EXPERIENCE Praxis d Architecture, Beijing, China Intern Architect

08/2019 - 01/2020

S Squared Architects, Trivandrum, India Intern Architect

01/2017 - 05/2017

Freelancing https://www.guru.com/freelancers/ar-antariksh Personal Projects

02/2018 - present

WORKSHOP GIAN Workshop I Climate Responsive Design Development for Energy Efficient Buildings

02/2018

GIAN Workshop II City Energy Management, Modelling and Practice

03/2018

Lindian Workshop Research on Contemporary Village Regeneration Strategy

07/2019

Parametric and Generative Design Workshop Rhino Gh software training by Design Interventions

06/2020

SOFTWARE SKILLS AutoCAD

Adobe Photoshop

Rhinoceros/Grasshopper

Revit

Adobe Indesign

Ladybug Tools

SketchUp

Lumion

Autodesk CFD



CONTENTS

01 Masters Research

Computational Conceptual Design

02 Campus Design Three Gorges Hydropower Training Institute

03 Sustainable Design Bharat Primary School, Nagpur

04 Other Projects School Design Residence Design Apartment Design



01

COMPUTATIONAL CONCEPTUAL DESIGN Architecture Generated by Parametric modelling, Simulation and Optimization

THESIS | Master in Architecture, Tianjin University COMPUTATIONAL DESIGN | ENERGY EFFICIENCY Rhino | Grasshopper | Ladybug | Octopus Year | 2021


With an increase in demand for Energ y Efficient Building Design, building performance has become an important factor behind design decisions. Most of the design directions explored are related to building elements or envelope and there are ver y few building performance evaluation methods available for architects in whole building shape design in the conceptual stage. This research proposed a computational conceptual design (CCD) approach during the early stages of design that can help architects evaluate building performance and generate optimized design options. This approach is based on building performance optimization.

IDEA :

CCD is the combination of Conceptual Design, Evolutionar y Optimization and Building Performance Simulation in a computational design environment. This approach is introduced to overcome the limitations of the conventional and traditional practices in performance-based design where designers apply performance measures based on their intuitions and experience rather than to generate optimized design solutions which are performance-oriented. The CCD is a performancedriven generative design where the performance of the building becomes the driving factor for its design. CCD tries to guide the designer at the beginning of design and help in selecting design options based on his intuitions.


Computational Conceptual Design is an approach based on using computational design as a parametric modelling tool in the early stage of design to generate conceptual design options which are performance-oriented. The proposed approach combines parametric modelling and evolutionar y optimization like Genetic Algorithm to integrate building performance simulation in the conceptual stage of the building design, to increase the performance of the building.

MECHANISM :

In this approach, the architectural design goes hand in hand with building performance simulation and the optimization algorithm acts as a synerg y between both. Design and simulations step further with more accurate results based on the optimization algorithm. The mechanism has two main parts the Architectural design and performance simulation. At the beginning of design, the depth of design and simulation is zero, as the optimization process begins the design depth increases and reaches 100% when the stopping criteria are met, or the objective of the design is achieved.


IMPLIMENTATION : The applicability of CCD is tested through the case study of an same office building in two different cities Tianjin and Nag pur which have opposite climate conditions, cold climate and hot climate. Here the main performance driving factor is incident radiation. Solar radiation is one of the main responsible factors for climate responsive design, the building needs more radiation in winter to keep indoors warm and less radiation in summer to keep indoors cool. Hence winter radiation needs to be maximized and summer radiation needs to be minimized, which are the objective of the optimization problem.

Phase I

Phase II

Phase III

PARAMETRIZATION

SIMULATION & OPTIMIZATION

POST OPTIMIZATION

Site, Building Parameters The Model Base Case Model

Base Case Model Performance Case 1 – Tianjin, China Case 2 – Nagpur India

Comparison of both cases Finalizing the concept model

CCD is a performance-driven design workf low that can generate design solutions in the early stages of design and tries to guide the architect at the beginning of design. The proposed CCD approach has three phases and each phase had several steps. All the process and steps are carried out in 3D modelling software Rhinoceros and its parametric modelling plugin Grasshopper. Each phase of the approach consists of multiple steps that must be completed along with the tasks. The office building will be generated based upon the incident radiation on the building which will be simulated using Ladybug Tool and optimized through multi objective optimization tool Octopus.


PARAMETRIZATION :

Design variables and its setting for base case

base case model along with the site

Grasshopper interface showing script for parametric massing


SIMULATION & OPTIMIZATION :

Grasshopper Script for Simulation and Optimization

Octopus Tool

Generation 0

All points on Pareto front checked by Octopus Engine

Generation 19

Around 2000 options were checked by the optimization engine and around 115 options were marked as potential solutions that are optimum.


CASE 1 - Tianjin OPTIMIZED

Variable Setting

Octopus Pareto Front

Radiation Result Mesh

CASE 2 - Nagpur OPTIMIZED

Variable Setting

Radiation Result Mesh

Octopus Pareto Front


POST OPTIMIZATION: Case 1 (Optimized)

Case 2 (Optimized)

Radiation Mesh Heating Period (South East View)

Radiation Mesh Cooling Period (South East View)

Radiation Mesh Heating Period (South West View)

Radiation Mesh Cooling Period (South West View)

COMPARISON OF OPTIMIZED OPTIONS

After getting the final geometries for both the cases, glazing was created based upon the incident radiation on the building façade. The façade was already divided in grid of 3m x 3m where incident radiation was measured. This grid was converted into opening by using amount of radiation on ever y grid. Ever y block of the grid was scaled depending upon the amount of radiation incident upon it. The more the radiation the lesser is the opening and vice versa.


FINAL CONCEPTUAL DESIGN :

South- West View

South- East View CASE 1 - TIANJIN

South- West View

South- East View CASE 2 - NAGPUR

It is observed from above figures that Office building in Tianjin has more opening than in Nag pur. This is due to Tianjin lies in Cold climate conditions and building require more sunlight to heat the space and Nag pur is in hot region which require less sunlight to keep the space cool. The office building in Tianjin has wider opening in south, which resembles with same concept that sun lies in south for most of the day in Tianjin. These features are following prevalent passive design strategies. A s the model was developed in a parametric environment it can be further developed by using data already available there. Further these concepts can be optimized by performing daylighting and energ y simulation.



02

CAMPUS DESIGN

Three Gorges Hydropower Training Institute

STUDIO II | Master in Architecture, Tianjin University ORGANIC DESIGN | ENERGY EFFICIENCY AutoCAD | Revit | Lumion Year | 2019


LOCATION : The Site is located on the bank of Yangtze River, Near Three Gorges Dam, China Area : 200,000 sqm

SITE ANAYSIS The Site is located in a very important installation which provides for it to be developed as a tourist attraction and makes up for all the necessary amenities needed nearby. The site provides the opportunity to cater prime yangtze river views. The green lush and contoured context of the site calls for an organic design approach that would not only sit well in the existing context but would also stand off as a monumental and iconic design in the given context along with the climate responsiveness.


CONCEPT : The form of the building is inspired from the mountains and river that do sandwich the site in between. The form follows the background terrain line in gharmonous flow without steep gradient adding to ita touch of borrowed from the water flow of Yatze river.

The building programming reveals a historic pattern of arranging the functions of the very building around the main central courtyard but the idea is enhanced by providing each individual block with its own atrium that summons light, air and grenary inside creating in turn an independant micro-climate.


GROUND FLOOR PLAN

FIRST FLOOR PLAN


The form of the building makes nodes for view frames on all sides so as to be able to fully attain the views. The atrium and courtyard provide for the arbitary wind direction to flow through and accross building but if intended can be shut off from the outside. The atrium would also provide for the daylighting and in the volumes and thus add as a major energy efficient aspect .

FIBER REINFORCED PLASTIC (FRP) on Steel Framing



03

SUSTAINABLE DESIGN

Bharat Primary School, Nagpur, India

STUDIO I | Master in Architecture, Tianjin University LOW COST | ENERGY EFFICIENCY AutoCAD | Revit | Lumion SketchUp | Open Studio | Autodesk CFD Year | 2019



LOCATION : The Site is located in Nagpur, India Area : 2000 sqm

The Site is located in hot and humid climate conditions. The design problem introduced was Sustainable school for 300 students. The main idea of sustainability was adhered while designing the school. Two main aspects were focused while designing is use of local material and local design elements. Nagpur has big bamboo jungle surrounding it and abundance of red brick. These two materials are condired in this design. The design is kept simple and yet sutainable so that cost can be reduced as well as energy consumption is minimized. The enviromental analysis showed reduced electricity consumption. The use of brick jali helped in natural ventialtion along with the combination of couryard in center. The best way to create a sustainable design for a building in India is to study what was done on this topic from an Indian architect, this would help to narrow the field from sustainability worldwide to just India. Hence the designis made by Laurie Baker were studied. This design has mainly inspiration from the rules provided by Laurie baker. Thus this design has great influence of critical regionalism style used by laurie baker.


GROUND FLOOR PLAN

SECTION


Autodesk CFD Analysis Results :

CFD Analysis show that use of jali openings provide ventilation throughout the classroom. Different shapes and openings were tested and best one is used in the design.

OPENSTUDIO Analysis Results :

Illuminance Map



04

OTHER WORK

Bachelor Thesis| Personal Projects |Freelancing AutoCAD | Revit | SketchUp | Lumion Year | 2018 - 2021



RESIDENTIAL SCHOOL, BIKANER, INDIA Bachelor Thesis| MNIT, Jaipur AutoCAD | Revit | Lumion Year | 2018



RESIDENCE DESIGN, TEZPUR, INDIA Personal Project| The Space Architects AutoCAD | Revit | Lumion Year | 2021



APARTMENT IN MOGADISHU SOMALIA Freelancing| www.guru.com AutoCAD | SketchUp | Lumion Year | 2020


THANK YOU


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