2050 dip

[Mia McLachlan]

Hi all, we have now processes the data for all 4 scenarios but we have noticed a strange pattern around 2050. For all scenarios, total capacity significantly dips at 2050. At first we thought this was an issue because we were only running scenarios until 2050 but we have rerun the scenarios until 2065 and we still see this dip. Have you ever seen something like this before? We are not sure whether it's an issue in the modelling or whether this is just the expected behaviour - if so we are not sure why?

Best wishes,

Avi & Mia 

[sara giarola]

Just to conclude, you may need to do a

"git stash" followed by "git pull origin development" to update your local copy of the model.

[Mia McLachlan]

Hi Sara, where/how exactly do we do that?

Thanks, 

Avi & Mia

[sara giarola]

Anaconda command line, as you normally have done for the installation of the model

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[Alexander Kell]

Hi both,

We have updated MUSE with some recent changes. 

Updating your version of MUSE depends on how you installed it. If you followed the "Users" process, then you need to run:

> python -m pip install git+https://github.com/SGIModel/MUSE_ICL.git#egg=muse --upgrade

Otherwise if you followed the "Developers" process then you should navigate to the place you installed the MUSE source code in anaconda prompt (I think you're using this to run the case studies.) and then follow Sara's instructions above. 

Any questions don't hesitate to get back to us!

Best wishes,

Alex

[Mia McLachlan]

I installed muse directly into C:\Users\mrmia (following the developers process) but when I run "git stash" it says it is not recognised:

(muse) C:\Users\mrmia>git stash

fatal: not a git repository (or any of the parent directories): .git

When I run it within the muse file:

(muse) C:\Users\mrmia>cd\Users\mrmia\muse

(muse) C:\Users\mrmia\muse>git stash

warning: LF will be replaced by CRLF in src/muse/data/example/default/settings.toml.

The file will have its original line endings in your working directory

warning: LF will be replaced by CRLF in src/muse/data/example/default/technodata/gas/CommIn.csv.

The file will have its original line endings in your working directory

warning: LF will be replaced by CRLF in src/muse/data/example/default/technodata/gas/CommOut.csv.

The file will have its original line endings in your working directory

warning: LF will be replaced by CRLF in src/muse/data/example/default/technodata/gas/ExistingCapacity.csv.

The file will have its original line endings in your working directory

warning: LF will be replaced by CRLF in src/muse/data/example/default/technodata/power/CommIn.csv.

The file will have its original line endings in your working directory

warning: LF will be replaced by CRLF in src/muse/data/example/default/technodata/power/CommOut.csv.

The file will have its original line endings in your working directory

warning: LF will be replaced by CRLF in src/muse/data/example/default/technodata/power/ExistingCapacity.csv.

The file will have its original line endings in your working directory

warning: LF will be replaced by CRLF in src/muse/data/example/default/technodata/preset/Residential2020Consumption.csv.

The file will have its original line endings in your working directory

warning: LF will be replaced by CRLF in src/muse/data/example/default/technodata/residential/CommIn.csv.

The file will have its original line endings in your working directory

warning: LF will be replaced by CRLF in src/muse/data/example/default/technodata/residential/CommOut.csv.

The file will have its original line endings in your working directory

Saved working directory and index state WIP on development: a74a8f9f Merge pull request #892 from SGIModel/legacy

(muse) C:\Users\mrmia\muse>git pull origin development

remote: Repository not found.

fatal: repository 'https://github.com/SGIModel/StarMuse.git/' not found

The second command does not run. 

Best wishes, 

Mia 

[sara giarola]

First you are pointing to the wrong repo: you have access to SGIModel/MUSE_ICL not StarMuse.

Also, before running the commands you need to be on the folder which is setup to track the remote MUSE_ICL. Also, If you are not in an environment where git is installed, it will not be recognised as a command.

If you are encountering all these problems for updating the local, it may be a good idea to proceed with a full installation. This is explained very well in the user guide.

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[Mia McLachlan]

Okay thank you, I have reinstalled muse and rerun scenario 1 which gets to 2045 but I am now receiving the following error:

Traceback (most recent call last):

  File "C:\Users\mrmia\anaconda3\envs\muse\lib\runpy.py", line 193, in _run_module_as_main

    "__main__", mod_spec)

  File "C:\Users\mrmia\anaconda3\envs\muse\lib\runpy.py", line 85, in _run_code

    exec(code, run_globals)

  File "c:\users\mrmia\muse1\src\muse\__main__.py", line 54, in <module>

    muse_main()

  File "C:\Users\mrmia\anaconda3\envs\muse\lib\site-packages\click\core.py", line 1137, in __call__

    return self.main(*args, **kwargs)

  File "C:\Users\mrmia\anaconda3\envs\muse\lib\site-packages\click\core.py", line 1062, in main

    rv = self.invoke(ctx)

  File "C:\Users\mrmia\anaconda3\envs\muse\lib\site-packages\click\core.py", line 1404, in invoke    return ctx.invoke(self.callback, **ctx.params)

  File "C:\Users\mrmia\anaconda3\envs\muse\lib\site-packages\click\core.py", line 763, in invoke

    return __callback(*args, **kwargs)

  File "c:\users\mrmia\muse1\src\muse\__main__.py", line 51, in muse_main

    MCA.factory(settings).run()

  File "c:\users\mrmia\muse1\src\muse\mca.py", line 336, in run

    _, new_market, self.sectors = self.find_equilibrium(new_market)

  File "c:\users\mrmia\muse1\src\muse\mca.py", line 208, in find_equilibrium

    equilibrium=self.equilibrium,

  File "c:\users\mrmia\muse1\src\muse\mca.py", line 543, in find_equilibrium

    market, equilibrium_sectors = single_year_iteration(market, sectors)

  File "c:\users\mrmia\muse1\src\muse\mca.py", line 453, in single_year_iteration

    market[["supply", "consumption", "prices"]]  # type:ignore

  File "c:\users\mrmia\muse1\src\muse\sectors\sector.py", line 233, in next

    technologies, market, time_period=time_period, current_year=current_year

  File "c:\users\mrmia\muse1\src\muse\sectors\subsector.py", line 73, in invest

    technologies, market, time_period, current_year=current_year

  File "c:\users\mrmia\muse1\src\muse\sectors\subsector.py", line 142, in aggregate_lp

    technologies, agent_market, share, time_period=time_period

  File "c:\users\mrmia\muse1\src\muse\agents\agent.py", line 422, in next

    year=current_year,

  File "c:\users\mrmia\muse1\src\muse\investments.py", line 155, in compute_investment

    **kwargs,

  File "c:\users\mrmia\muse1\src\muse\registration.py", line 172, in decorated

    result = inner_decorated(*args, **kwargs)

  File "c:\users\mrmia\muse1\src\muse\investments.py", line 90, in decorated

    result = function(costs, search_space, technologies, constraints, **kwargs)

  File "c:\users\mrmia\muse1\src\muse\investments.py", line 266, in adhoc_match_demand

    demand.sel(asset=demand.asset.isin(search_space.asset)), decision, max_prod

  File "c:\users\mrmia\muse1\src\muse\demand_matching.py", line 250, in demand_matching

    ds.demand, ds.cost, *(ds[f"constraint{i}"] for i in range(len(constraints)))

  File "c:\users\mrmia\muse1\src\muse\demand_matching.py", line 255, in demand_matching

    return _demand_matching_impl(demand, cost, *constraints)

  File "c:\users\mrmia\muse1\src\muse\demand_matching.py", line 297, in _demand_matching_impl

    for _, same_cost in data.groupby("cost") if cost.dims else [(cost, data)]:

  File "C:\Users\mrmia\anaconda3\envs\muse\lib\site-packages\xarray\core\common.py", line 697, in groupby

    self, group, squeeze=squeeze, restore_coord_dims=restore_coord_dims

  File "C:\Users\mrmia\anaconda3\envs\muse\lib\site-packages\xarray\core\groupby.py", line 389, in __init__

    "Failed to group data. Are you grouping by a variable that is all NaN?"

ValueError: Failed to group data. Are you grouping by a variable that is all NaN?

[sara giarola]

This is very likely dependent on your input data, I am afraid.

To view this discussion on the web visit https://groups.google.com/d/msgid/muse-model/dd9904cc-773b-469f-bdb5-1270669a261fn%40googlegroups.com.

[Mia McLachlan]

Problem solved by editing the existing capacity to make it non-zero for future years!

Thank you, that is all working now and the trend looks much more reasonable