Industrial Energy Systems Optimization with Python & GAMS

Build real-world optimization models for integrated industrial systems: furnaces, chillers, transformers, batteries, CHP

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 build mathematical optimization models for industrial energy systems from scratch using Python (Pyomo) and GAMS

• How to model and optimize key industrial components: natural gas furnaces, chillers, transformers, batteries, CHP units, and electric heat pumps

• How to integrate multiple energy technologies into complex, multi-stage optimization problems

• How to handle real-world constraints including forward contracts, energy demand patterns, and operational limits

• How to solve industrial scheduling and dispatch problems to minimize costs while meeting heating/cooling demands

• How to transition seamlessly between Python and GAMS implementations for the same optimization problem

• How to interpret optimization results and make data-driven decisions for industrial energy management

Perfect For:

• Industrial engineers and energy system analysts

• Operations research professionals in manufacturing and utilities

• Energy consultants and sustainability managers

• Process engineers in chemical plants and manufacturing facilities

• Data scientists working in energy and industrial sectors

• Graduate students in operations research, industrial engineering, or energy systems

• Energy managers seeking to optimize facility operations

• Technical professionals transitioning to energy optimization roles

Why This Matters:

Industrial facilities account for 30% of global energy consumption, and optimizing their energy systems can reduce costs by 15-40% while cutting emissions dramatically. As industries face carbon regulations, volatile energy prices, and sustainability targets, the ability to model and optimize complex energy systems becomes mission-critical. Companies need professionals who can build optimization models that integrate renewable energy, storage, and traditional systems while managing real-time pricing and demand fluctuations. This skill set is essential for the $2 trillion industrial decarbonization market. Whether you're optimizing a single manufacturing plant or designing district energy systems, these modeling skills position you for high-impact roles in energy consulting ($120,000-180,000), industrial optimization ($130,000-200,000), and sustainability leadership ($150,000-250,000+). Master the tools that Fortune 500 companies use to save millions in energy costs annually.