This is the Julia core framework of IESopt. For a more information and the more beginner-friendly Python wrapper, check out the iesopt repository.

IESopt (Integrated Energy System Optimization) is a modeling and optimization framework for integrated energy systems.

It is developed and maintained at the Center for Energy at AIT Austrian Institute of Technology GmbH. The framework is designed to support the optimization of energy systems that are characterized by a high degree of integration between different energy carriers and sectors. It focuses on offering a modular and adaptable tool for modelers, that does not compromise on performance, while still being user-friendly. This is enabled by reducing energy system assets to abstract building blocks, that are supported by specialized implementation, and can be combined into complex systems without the need of a detailed understanding of mathematical modeling or proficiency in any coding-language.

To install the package, open a Julia REPL and run add IESopt in package mode (hit ]), or run:

using Pkg
Pkg.add("IESopt")

You can then run a model using:

using IESopt: IESopt
model = IESopt.run("config.iesopt.yaml")

Check out the documentation for examples and more information.

PRs accepted. Checkout the developer documentation section in the documentation.

MIT © AIT Austrian Institute of Technology GmbH.