Can multi-objective optimization？

[hangtianzhang]

Hello, can the aristopy framework perform multi-objective optimization of the integrated energy system? I now want to use this framework to construct optimization examples that target economy and carbon dioxide emissions. Thank you for your answer and look forward to your reply

[sbruche]

You could use the Epsilon-constraint method and iterative solving of your model to find trade-offs between economic and ecological goals. There are multiple options to do this:

• create a CO2-sink component and connect CO2-flows leaving your components. After that, you could limit the sum of all commodity flows to the Sink with a user_expression, e.g., "sum(CO2) <= 1000".

• there is also the possibility to add user-defined variables and constraints outside of your components. You will find an example in the docs, where we use the add_constraint method to add a Pyomo constraint and specifying the installed nominal thermal capacity. You can adapt this example to calculate and limit the CO2-emissions of your system.

[hangtianzhang]

Can the energy system model be solved using some intelligent algorithms? Such as particle swarm algorithm and genetic algorithm

[sbruche]

aristopy is building a pyomo model in the background. So I guess it is possible if there is a way to attach a heuristic solving algorithm to a pyomo model via pyomo's SolverFactory. There was a question on StackOverflow about that, and the answer seems to be positive. So you might want to try. Let me know if you are successful.