About Workshop
Generative AI and Parametric Design for Sustainable Architecture is a 3-day hands-on workshop that teaches participants how to combine AI-driven ideation, parametric modeling, and climate analysis to create sustainable, carbon-conscious building designs.
Participants will learn how AI tools like ChatGPT / Gemini can support architectural concept generation, while Rhino, Grasshopper, and Ladybug Tools enable parametric modeling, site-responsive design, and environmental performance evaluation. The workshop emphasizes early-stage decision-making, carbon-aware planning, and preparation of research-ready or professional architectural workflows.
Aim
The aim of this workshop is to enable participants to integrate Generative AI, parametric modeling, and environmental analysis into sustainable architectural design workflows. It focuses on enhancing early-stage design decisions with AI-assisted concept generation, climate-responsive massing, and carbon-aware planning for professional and research applications.
What Participants Will Learn
- Introduce sustainable architecture principles and climate-responsive design strategies
- Explain the role of Generative AI in architectural ideation and design assistance
- Teach parametric design concepts and computational thinking for architecture
- Guide participants in using Rhino and Grasshopper for parametric massing and form exploration
- Introduce environmental and climate analysis tools like Ladybug for architectural decision-making
- Support early-stage carbon-aware design planning using AI-assisted workflows
- Teach preparation of design-option matrices based on sustainability indicators
- Enable participants to compare architectural options using AI-generated insights
Structure
📅 Day 1: Foundations of Generative AI and Parametric Design for Sustainable Architecture
- Introduction to sustainable architecture and climate-responsive design
- Understanding the role of Generative AI in architectural ideation and design assistance
- Basics of parametric design and computational thinking in architecture
- Introduction to Rhino and Grasshopper for design exploration
- Understanding building massing, orientation, form, façade, shading, and site response
- Using AI tools for concept generation, design brief development, and sustainability-focused prompts
- Developing a carbon-aware architectural design framework for early-stage planning
🛠️ Hands-on:
- Hands-on 1: AI-Assisted Sustainable Design Brief and Concept Generation
- Hands-on 2: Basic Parametric Massing Exploration in Rhino / Grasshopper
🧰 Tools Covered: ChatGPT / Gemini, Rhino, Grasshopper, Google Docs
📅 Day 2: Parametric Design Option Generation and Climate Analysis
- Understanding design option generation for sustainable architectural planning
- Using Grasshopper for parametric massing, form variation, and façade exploration
- Site-responsive design parameters: sun path, orientation, shading, wind, and daylight exposure
- Introduction to Ladybug Tools for environmental and climate analysis
- Evaluating design options using climate-responsive indicators
- Using Generative AI to compare design alternatives and document design reasoning
- Preparing a design-option matrix for sustainability-focused architectural decisions
🛠️ Hands-on:
- Hands-on 1: Parametric Design Option Generation using Grasshopper
- Hands-on 2: Sun Path, Shading, and Climate Analysis using Ladybug Tools
🧰 Tools Covered: Rhino, Grasshopper, Ladybug Tools, ChatGPT / Gemini
📅 Day 3: Carbon-Aware Architectural Planning and AI-Assisted Design Decisions
- Introduction to carbon-aware architectural planning and low-carbon design strategies
- Understanding embodied carbon, operational carbon, material selection, and passive design decisions
- Using AI to support carbon-conscious design narratives and planning reports
- Comparing architectural design options based on sustainability indicators
- Integrating climate analysis, massing logic, and AI-generated design insights
- Preparing architectural presentation outputs for concept review, research, or professional use
- Developing a final sustainable parametric design workflow
🛠️ Hands-on:
- Hands-on 1: Carbon-Aware Design Option Comparison and AI-Assisted Design Report
- Hands-on 2: Mini Project: Sustainable Parametric Massing and Climate-Responsive Design Workflow
🧰 Tools Covered: Rhino, Grasshopper, Ladybug Tools, ChatGPT / Gemini
Important Dates
Registration Ends
4:30 PM IST
Workshop Dates
2026-06-18
5:30 IST
5:30 IST
What You Will Gain
Outcomes
- Understand and apply principles of sustainable and climate-responsive architecture
- Use Generative AI tools for architectural concept generation and design briefs
- Apply parametric modeling techniques using Rhino and Grasshopper
- Evaluate site-responsive design factors such as sun path, orientation, shading, wind, and daylight
- Use Ladybug Tools for climate and environmental analysis of design options
- Compare multiple design options with sustainability and carbon indicators
- Prepare carbon-aware architectural design workflows
- Integrate AI-generated insights with parametric modeling for informed decision-making
- Generate professional presentation outputs for concept review or research
Who Should Attend
- Architecture and design students, postgraduate learners, and researchers
- Academicians and faculty members in architecture, sustainability, and built environment
- Practicing architects and design professionals interested in AI-driven workflows
- Environmental, urban planning, and sustainability professionals
- AI and computational design enthusiasts interested in parametric architecture
- Data science or AI learners seeking applications in design and sustainability