Programme Parameters
Graduate / Intermediate
4 Weeks (40 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Daylight and Building Performance Analysis with ClimateStudio is a hands-on programme for architects, building services engineers and researchers who need defensible performance evidence early in design. Working in the Rhino and Grasshopper environment, participants model annual daylight and solar radiation, evaluate glare and visual comfort, and produce conceptual energy analysis — reporting results against the metrics that credit schemes and clients actually ask for. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course teaches climate-based building performance analysis using ClimateStudio — reading weather data, modelling annual daylight and solar radiation, assessing glare and visual comfort, and running conceptual energy analysis to inform early design decisions.
📋 Course Objectives
1. Translate biotechnology theory into practical, reproducible analysis.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
🚀 Key Learning Outcomes
• A portfolio-grade biotechnology deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Climate Data and the Modelling Environment
• ClimateStudio inside Rhino and Grasshopper, and where each is the better fit
• EPW weather files: what they contain, and why the station chosen changes the answer
• Sun path, psychrometrics and degree days read as design constraints, not decoration
• Model hygiene — closed geometry, sensible zoning and units — as the usual cause of bad results
Solar Analysis and Shading Design
• Annual and seasonal irradiation mapping across facades and roofs
• Testing shading devices against cooling load and daylight together, not separately
• Photovoltaic potential studies and realistic yield expectations
• Reflectance and context buildings, and how much omitting them distorts output
Climate-Based Daylight Modelling
• Spatial Daylight Autonomy and Annual Sunlight Exposure defined by IES LM-83
• LEED v4.1 daylight credit thresholds and what a compliant result requires
• Material reflectance and glazing visible transmittance as the dominant inputs
• Why daylight factor persists in practice and where it misleads
Glare and Visual Quality
• Daylight Glare Probability and the difference between annual and point-in-time glare
• View position and orientation selection, which largely determines the finding
• Electric lighting, dimming controls and daylight-linked energy savings
• Rendering for evidence rather than for presentation
Conceptual Energy Modelling and Reporting
• Conceptual thermal models on the EnergyPlus engine and their intended accuracy
• Envelope, glazing ratio and orientation parametrics for early design comparison
• What a conceptual model cannot support — no HVAC sizing, no compliance submission
• Reporting assumptions, weather file and version so a result can be reproduced
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | RStudio |
Frequently Asked Questions
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