Thermodynamics, Exergy and Life Cycle Thinking in the Design of Net-Zero Energy and Process Systems
Design Net-Zero Systems with Thermodynamics, Exergy & Life-Cycle Intelligence
About This Course
`This session shows how thermodynamics, exergy analysis, and life-cycle thinking (LCA/LCT) work together to design net-zero energy and process systems. You’ll learn to pinpoint real inefficiencies (exergy losses), compare design options with full life-cycle impacts, and optimize systems for high performance with low carbon footprint.
Aim
To equip participants with a practical, integrated approach to designing net-zero energy and process systems by applying thermodynamics, exergy analysis, and life-cycle thinking (LCA/LCT) to identify real inefficiencies, evaluate environmental impacts, and make data-driven design and optimization decisions for sustainable, low-carbon systems.
Workshop Objectives
Workshop Structure
Workshop Schedule (3 Days)
A structured blend of theory + hands-on exercises with clear deliverables each day.
📅 Day—1Thermodynamics and Exergy Analysis in Sustainable Systems
- Fundamental thermodynamic principles for sustainable energy and process systems
- Introduction to exergy analysis and its role in identifying inefficiencies in energy systems
- Application of exergy analysis for system optimization and improving energy conversion efficiency
Hands-on
- Perform a basic exergy analysis on a hypothetical process system to identify energy losses and optimization opportunities.
📅 Day 2 — Life Cycle Thinking (LCA) and Environmental Impact Assessment
- Introduction to Life Cycle Assessment (LCA): methodology, stages, and tools
- Evaluating the environmental impacts of energy systems over their life cycle: from raw materials to disposal
- Link between LCA and exergy analysis in the design of sustainable systems
Hands-on
- Use LCA software or a Python-based tool to perform a basic life cycle assessment of a renewable energy system (e.g., solar or wind).
📅 Day 3 — Techno-Economics and Optimization of Net-Zero Systems
- Techno-economic analysis: integrating technical performance and economic feasibility
- Cost-benefit analysis of sustainable systems: considering both environmental and financial impacts
- Strategies for designing net-zero energy systems by balancing energy generation and consumption
Hands-on
- Develop a techno-economic model for a net-zero energy system using Python or an optimization tool to assess costs, efficiency, and environmental impact.
Who Should Enrol?
- Doctoral Scholars & Researchers: PhD candidates seeking to integrate computational workflows into their molecular research.
- Postdoctoral Fellows: Early-career scientists aiming to enhance their data-driven publication profile.
- University Faculty: Professors and HODs interested in modern bioinformatics pedagogy and tool mastery.
- Industry Scientists: R&D professionals from the Biotechnology and Pharmaceutical sectors transitioning to genomic-driven discovery.
- Postgraduate Students: Final-year PG students looking for specialized research-grade exposure beyond standard curricula.
Important Dates
Registration Ends
03/16/2026
IST 04:30 PM
Workshop Dates
03/16/2026 – 03/18/2026
IST 05: 30PM
Workshop Outcomes
Fee Structure
Student
₹2499 | $75
Ph.D. Scholar / Researcher
₹3499 | $85
Academician / Faculty
₹4499 | $95
Industry Professional
₹6499 | $115
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Publication Opportunity
Get published in a prestigious open-access journal.
Centre of Excellence
Become part of an elite research community.
Networking & Learning
Connect with global researchers and mentors.
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
View All Feedbacks →
