Course Overview
Energy Systems Modelling & Techno-Economic Analysis
Connect technical performance with cost, uncertainty, and investment value to make stronger energy-project decisions.
Combine engineering performance models with lifecycle cost, payback, NPV, sensitivity, and scenario analysis for energy investment decisions.
Why This Course Matters
An energy technology can be technically attractive and still be economically weak, while a seemingly expensive option may perform better over its lifecycle. Engineers need to combine system modelling with CAPEX, OPEX, energy prices, degradation, financing assumptions, and uncertainty.
Energy projects increasingly demand engineers who can connect fundamental physics with equipment behaviour, system integration, efficiency, lifecycle performance, and technical economics. A stronger systems view helps professionals evaluate technologies more critically and support more defensible energy decisions.
This course is designed to close that capability gap with structured, engineering-focused learning that strengthens both technical understanding and professional judgement.
What This Training Helps You Achieve
Combine engineering performance models with lifecycle cost, payback, NPV, sensitivity, and scenario analysis for energy investment decisions. The training is designed to help you apply this knowledge with greater confidence across system design, performance assessment, integration, operations, and project evaluation, while making assumptions, limitations, and technical reasoning easier to explain and defend.
Why Engineers Take This Course
Model technical performance over time
Develop stronger capability in defining system boundaries, scenarios, and modelling objectives, and use that understanding to support more credible decisions in system design, performance assessment, integration, operations, and project evaluation.
Translate engineering assumptions into project economics
Develop stronger capability in cash-flow modelling, payback, npv, and internal rate of return, and use that understanding to support more credible decisions in system design, performance assessment, integration, operations, and project evaluation.
Test investment decisions against uncertainty
Develop stronger capability in communicating techno-economic results for engineering and investment decisions, and use that understanding to support more credible decisions in system design, performance assessment, integration, operations, and project evaluation.
What You’ll Explore
- Defining system boundaries, scenarios, and modelling objectives
- Energy and mass-balance based performance models
- Load profiles, operating strategies, and annual performance
- CAPEX, OPEX, replacement cost, and lifecycle assumptions
- Cash-flow modelling, payback, NPV, and internal rate of return
- Levelized cost concepts and comparative metrics
- Sensitivity analysis and scenario analysis
- Uncertainty, degradation, escalation, and risk considerations
- Communicating techno-economic results for engineering and investment decisions
Learning Outcomes
By the end of this course, you will be able to:
- Explain and apply the core principles associated with defining system boundaries, scenarios, and modelling objectives.
- Interpret engineering information related to energy and mass-balance based performance models.
- Evaluate practical considerations involving load profiles, operating strategies, and annual performance.
- Recognise key assumptions, limitations, and risks associated with cash-flow modelling, payback, npv, and internal rate of return.
- Use structured engineering judgement when working with uncertainty, degradation, escalation, and risk considerations.
- Connect analysis and technical evidence with communicating techno-economic results for engineering and investment decisions.
- Approach energy systems modelling & techno-economic analysis work with greater technical confidence, discipline, and credibility.
Who This Is For
- Energy and project engineers evaluating technology options
- Renewable-energy and storage professionals
- Technical consultants preparing feasibility studies
- Engineering managers supporting investment decisions
- Professionals who need to connect technical modelling with commercial outcomes
Why Build This Skill Now
Engineering teams are expected to make faster decisions while still demonstrating sound technical judgement, traceability, and awareness of risk. Building capability in energy systems modelling & techno-economic analysis gives you a stronger basis for reviewing assumptions, challenging weak conclusions, and contributing more effectively when technical decisions matter.
If you want to strengthen your understanding of this subject, improve the quality of your engineering judgement, and build capability that can be applied across real projects, this course is a strong next step.
Related Topics
energy systems modelling, techno economic analysis, energy economics, lifecycle cost analysis, NPV, payback period, energy project evaluation, sensitivity analysis, scenario analysis, energy modelling, CAPEX OPEX, levelized cost of energy, LCOE, investment analysis, energy engineering
