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The first step when building a model is to create a reference energy system (RES). This is what the desired representation of a system's configuration in the model; which are the input and output commodities of different assets, what the is the level of spatial aggregation, what is the system boundary etc.
An example of a RES is below:
Feature Description
It would be useful if tz-osemosys could auto-generate such a RES based on inputs to the model. This would be based on the input_activity_ratio and output_activity_ratio values.
I see it being used as follows:
model = Model.from_yaml('/path/to/yaml')
model.generate_res('/path/to/res')
... writes a static RES file. If the RES looks ok
model.solve()
The text was updated successfully, but these errors were encountered:
Feature Type
Adding new functionality to tz-osemosys
Changing existing functionality in tz-osemosys
Removing existing functionality in tz-osemosys
Problem Description
The first step when building a model is to create a reference energy system (RES). This is what the desired representation of a system's configuration in the model; which are the input and output commodities of different assets, what the is the level of spatial aggregation, what is the system boundary etc.
An example of a RES is below:
Feature Description
It would be useful if tz-osemosys could auto-generate such a RES based on inputs to the model. This would be based on the
input_activity_ratio
andoutput_activity_ratio
values.I see it being used as follows:
... writes a static RES file. If the RES looks ok
The text was updated successfully, but these errors were encountered: