Programme Parameters
Advanced Postgrad
3 Days (4.5 Hrs)
Online (e-LMS)
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
This 3‑day hands‑on program focuses on designing net‑zero energy systems using thermodynamics, exergy analysis, life‑cycle thinking (LCA), and techno‑economic optimization. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This 3‑day hands‑on program focuses on designing net‑zero energy systems using thermodynamics, exergy analysis, life‑cycle thinking (LCA), and techno‑economic optimization.
📋 Course Objectives
1. Translate AI in Energy & Utilities theory into practical, reproducible analysis.
2. Assemble a documented case study that evidences your applied capability.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in AI in Energy & Utilities
• R&D engineers and working professionals applying AI in Energy & Utilities in industry
• Academics and educators building research or teaching capacity in AI in Energy & Utilities
🚀 Key Learning Outcomes
• Tangible, reproducible AI in Energy & Utilities work to show supervisors or employers.
• 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
Day 1 – Thermodynamics & Exergy Analysis
Understand fundamental thermodynamic principles for sustainable systems • Apply exergy analysis to identify energy losses • Create an exergy‑analysis report with optimization recommendations
Day 2 – Life Cycle Thinking (LCA)
Explore LCA methodology, stages, and tools • Link LCA with exergy results for holistic assessment • Produce an LCA report highlighting environmental impacts and optimization paths
Day 3 – Techno‑Economic Optimization
Integrate technical performance with cost‑benefit analysis • Develop a Python‑based techno‑economic model for a net‑zero system • Deliver a cost‑analysis and optimized recommendation report
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | NumPy |
| Covered Tool / Platform | Pandas |
| Covered Tool / Platform | SciPy |
| Covered Tool / Platform | PuLP |
| Covered Tool / Platform | Pyomo |
| Covered Tool / Platform | OpenLCA |
Frequently Asked Questions
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