Hi Meritxell,
yes, the GlobalConstraint component is translated into a mathematical
constraint in the optimisation problem in PyPSA. Here's the relevant
code bit:
https://github.com/PyPSA/PyPSA/blob/c522d09c0c924df38aa5acba0e8540cc7d16824c/pypsa/linopf.py#L766-L866
The co2_emissions are stored under n.carriers.co2_emissions.
The specific emissions are mapped to the PyPSA components by their
energy carrier. Electrical output of generators is divided by efficiency
to get thermal output first.
HTH,
Fabian N
On 06.04.22 11:17, Meritxell Domènech Monfort wrote:
> Dear Pypsa users,
>
> I am trying to design a new technology that absorves co2. For that I am
> using stores and links (like in the example "Biomass, synthetic fuels
> and carbon management" or in pypsa-eur-sec).
> Still I don't fully understand how the GlobalConstraint works.
>
> When a GlobalConstraint is added to the system (e.g. in pypsa-eur or
> pypsa-eur-sec) how are the co2 emissions produced by the system calculated?
> I understand that it considers all carriers which have co2_emissions
> associated but how does pypsa calculate those total co2_emissions so
> that they are smaller than the limit set in the config file? Is there
> any formula in the scripts?
>
> n.add("GlobalConstraint", "CO2Limit",
> *carrier_attribute="co2_emissions"*, sense="<=",
> constant=co2limit * Nyears)
>
> Kind regards,
>
> Meritxell Domènech Monfort
>
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Dr.-Ing.
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Postdoctoral Researcher
Department of Digital Transformation in Energy Systems
Institute of Energy Technology
Technische Universität Berlin
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