[PyPSA-Eur-Sec]Influence of Numbers of Clusters and Time Resolution

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Erik Rathje

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Feb 15, 2021, 4:21:55 AM2/15/21
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Hello everyone,

could someone tell me, how a different Number of Clusters and a more exactly Time Resolution affect the Results of the Model?

When I use the MyOpic Approach with the same settings, but with different Numbers of Cluster and different Time Resolution, I would expect, that the Pathway of the Systems are quite similar. 

Or are there any Effects of a Higher Resolution Model, which will lead to different results?

Best regards,

Erik

Fabian Neumann

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Feb 15, 2021, 4:32:11 AM2/15/21
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Hi Erik,

not sure about the pathway optimisation, but you can read about this for
the power system greenfield optimisation:

- spatial: https://arxiv.org/abs/2101.10859

- temporal:
https://github.com/PyPSA/pypsa-eur/pull/186#issuecomment-683284538

Among others, with a higher resolution model you get better assessment of:

- transmission bottlenecks
- regionally varying renewable resources and demand
- temporal variability of renewables

A one node per country model at 4-hourly resolution will not yield the
same results as a model resolved at 200 nodes and hourly temporal
resolution, for instance because it could neglect transmission expansion
needs.

Hope this helps,

Fabian N
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Erik Rathje

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Feb 15, 2021, 9:04:28 AM2/15/21
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Hello Fabian,

thank you very much for your Answer!

These points fits quite well with my expectations. 

Your sources provided me some good information as well.

Best regards,

Erik

Samira Vogt

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Jan 23, 2022, 10:41:18 AM1/23/22
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Hello Erik and Fabian, 

I analysed the effects of spatial resolution and found that with a higher number of nodes (from 37, 128, 256), the installed capacity as well as the dispatched energy of solar decreased and capacity and dispatch of wind increased. This is the opposite effect than described in the mentioned paper (https://arxiv.org/abs/2101.10859), where it was found that solar PV is more sensitive to the level of aggregation compared to other technologies. Solar deployment decreased as aggregation levels grew, whereas wind deployment went up. 

Did you also experienced other findings? I couldn't find an explanation for the opposite behaviour in my results so far. 

I am happy, if you have some thoughts or experiences with this. 
Best, 
Samira

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