Define Model Configuration

The ModelConfig.JSON is used to define and change the standard modeling configuration. The model configuration consists of all global modelling settings (e.g., objective, high-level algorithms, energy balance violation, costs and performances) and solver configurations. In the table table you can find all settings that can be specified, and a description, the options that can be chosen and the default value from the template for each setting.

In the model configuration file you can select a specific type of analysis, such as a Pareto or Monte Carlo analysis. For background information on these analyses, see the following pages:

• Pareto analysis

• Monte Carlo analysis

Furthermore, you can specify options to reduce the complexity of the model, such as time-staging, clustering or scaling. For background information on the algorithms, see here.