Course Information
Course Overview
Model Integrated Energy Systems with Python & GAMS
EXTRAS
There are entire books and hundreds of papers & Python models available to download in my Skool community. I also have Financial Times articles , and over 100 online courses on Python modelling of energy markets, energy investments etc.
I also post job opportunities for the wider energy sector.
The value is immense!
I also do supervision which means when you start learning a course, you can message me as many questions as you need, any time e.g. daily.
This link below offers 7 days free access to this Skool community. No obligation to pay anything in advance. At the end of the 7- day period, you can decide whether you want to continue at $25/month or just cancel and leave.
Honestly, the $25/month is a very generous price . You will realise it once you join. Universities , colleges, would charge thousands! This is really a unique opportunity of immense value, at a really low cost!
Link: www [dot] skool [dot] com/software-school-for-energy-7177
WHO I AM:
Researcher and educator specializing in energy data science (PhD in Energy)
REGULAR ENHANCEMENTS:
Course reviewed periodically with updates.
What You'll Learn:
How to model coupled natural gas and electricity networks for integrated economic dispatch
How to formulate optimization problems that capture interactions between gas and power systems
How to implement gas network constraints including pipeline flow, pressure, and compressor operations
How to model gas-fired power plants as coupling points between energy systems
How to build integrated dispatch models in both Python and GAMS from scratch
How to handle multi-energy system constraints and inter-dependencies
How to solve and interpret optimization results for coupled infrastructure planning
How to evaluate economic trade-offs between electricity and gas system operations
Perfect For:
Energy system engineers working with multi-energy infrastructure
Utility professionals managing both gas and electric operations
Energy consultants analyzing sector coupling and integration strategies
Infrastructure planners designing integrated energy systems
Graduate students in energy systems engineering or operations research
Energy economists studying multi-commodity energy markets
System operators coordinating gas and electric networks
Anyone working on integrated energy system optimization
Why This Matters:
Gas-fired power plants provide 40% of US electricity and serve as the critical link between natural gas and electricity networks. As renewables grow, gas plants become essential for flexibility, but optimizing their dispatch requires understanding both systems simultaneously. Poor coordination between gas and electric systems costs billions annually in inefficiencies and can cause cascading failures like the 2021 Texas crisis. The shift to hydrogen and power-to-gas technologies makes integrated modeling even more critical. Companies need professionals who can optimize across energy vectors, not just within silos. Whether planning infrastructure investments, managing real-time operations, or designing resilient energy systems, the ability to model coupled networks is becoming mandatory. These skills are essential for roles in system operations ($100,000-170,000), energy consulting ($110,000-190,000), and infrastructure planning ($95,000-160,000). Master the integrated optimization techniques used by TSOs, major utilities, and energy system planners worldwide.
Course Content
- 3 section(s)
- 18 lecture(s)
- Section 1 Introduction
- Section 2 Python and GAMS implementation
- Section 3 Conclusions
What You’ll Learn
- Model coupled natural gas and electricity networks with interdependencies and constraints
- Formulate integrated economic dispatch problems for multi-energy systems
- Implement gas network constraints: pipeline flows, pressures, and compressor operations
- Model gas-fired power plants as coupling elements between systems
- Build complete optimization models in both Python and GAMS from scratch
- Define and code constraints for both electricity and natural gas systems
- Solve integrated dispatch problems and interpret multi-system results
- Analyze economic trade-offs and operational strategies for coupled infrastructure
Skills covered in this course
Reviews
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AAmine Abdellaziz
Nice course. The professor goes directly to the point, and it is useful to have done the "Power System Economic Dispatch: Python Model & Optimization" course which deals with the electricity network. Overall nice overview of a study case for gas and electricity network modelization.
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KKash Blake
It beautifully connects mathematical theory with operational realities.
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KKamryn Horton
The policy insights are up-to-date and very relevant to current debates.
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QQuincy Small
I appreciated how complex concepts were broken down into digestible parts.