WP 4 - Demonstration Lighthouse City Leipzig

The report gives an introduction into the current state and use cases oft he modelling toolbox IRPopt (Integrated Resource Planning and optimization). It talks about the model features and objective functions as well as energy system models and exemplary model embedment.

The IRPopt modeling framework, primarily developed by Scheller at the Institute for Infrastructure and Resources Management at the University of Leipzig, is a mixed-integer linear programming modeling framework for economic dispatch with profit maximization as the primary objective. IRPopt is implemented on the modeling infrastructure platform IRPsim and both are open source licensed under GPLv3. IRPopt is a dynamic, deterministic, and discrete municipal energy system model with adjustable temporal granularity and rolling optimization horizon.

With this framework, energy system models can be built out of a large portfolio of consumer-, storage-, producer- and distribution technology components and energy carriers like electricity, heat, hydrogen and multiple fossil fuels. Besides the energy flow between components, the monetary flow between agents like different suppliers, distributors, consumers or regulators can be modeled.

IRPopt was already applied in the past to answer a wider range of research questions, for example, the potential of residential demand response through variable electricity tariffs or competition between simultaneous demand-side flexibility options in the case of community electricity storage systems. The main advantages of IRPopt compared to many other models are modularity, temporal granularity and rolling optimization horizon.