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Lossy Bidirectional Links #1192

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@Eric-Nitschke Eric-Nitschke commented Nov 14, 2024

Summary:

  • fixed an existing bug regarding bidirectional lossy links that affected hydrogen pipelines.
  • the fix primarily utilizes code already in use by PyPSA-Eur.

Changes:

  • added a function to scripts/add_extra_components.py that "splits" bidirectional links into two unidirectional links. This is based upon the similar PyPSA-Eur implementation, which is slightly more advanced to accommodate PyPSA-Eurs more advanced efficiency calculations.
  • added a function to scripts/solve_network.py that adds an additional constraint to the network, which ensures that both unidirectional links share the same nominal power. This is a modified version of the PyPSA-Eur function, as PyPSA-Eur uses linopy while the base PyPSA-Earth version operates on lopf.

Reason:

  • without this commit, lossy bidirectional links are able to "generate" power by operating at a negative power level.
  • this stems from the general link implementation, which applies p1 = -eta*p0 to links, regardless whether power flows from bus0 to bus1 or from bus1 to bus0.
  • the current hydrogen pipeline implementation adds them to the network as lossy bidirectional links and is thus able to "generate" hydrogen.
  • this might affect other lossy bidirectional components added by the sector network as well.

Checklist

  • I consent to the release of this PR's code under the AGPLv3 license and non-code contributions under CC0-1.0 and CC-BY-4.0.
  • I tested my contribution locally and it seems to work fine.
  • Code and workflow changes are sufficiently documented.
  • Newly introduced dependencies are added to envs/environment.yaml and doc/requirements.txt.
  • Changes in configuration options are added in all of config.default.yaml and config.tutorial.yaml.
  • Add a test config or line additions to test/ (note tests are changing the config.tutorial.yaml)
  • Changes in configuration options are also documented in doc/configtables/*.csv and line references are adjusted in doc/configuration.rst and doc/tutorial.rst.
  • A note for the release notes doc/release_notes.rst is amended in the format of previous release notes, including reference to the requested PR.

Eric-Nitschke and others added 2 commits November 14, 2024 11:54
Summary:
- fixed an existing bug regarding bidirectional lossy links that affected hydrogen pipelines.
- the fix primarily utilizes code already in use by PyPSA-Eur.

Changes:
- added a function to scripts/add_extra_components.py that "splits" bidirectional links into two unidirectional links. This is based upon the similar PyPSA-Eur implementation, which is slightly more advanced to accommodate PyPSA-Eurs more advanced efficiency calculations.
- added a function to scripts/solve_network.py that adds an additional constraint to the network, which ensures that both unidirectional links share the same nominal power. This is a modified version of the PyPSA-Eur function, as PyPSA-Eur uses linopy while the base PyPSA-Earth version operates on lopf.

Reason:
- without this commit, lossy bidirectional links are able to "generate" power by operating at a negative power level.
- this stems from the general link implementation, which applies p1 = -eta*p0 to links, regardless whether power flows from bus0 to bus1 or from bus1 to bus0.
- the current hydrogen pipeline implementation adds them to the network as lossy bidirectional links and is thus able to "generate" hydrogen.
- this might affect other lossy bidirectional components added by the sector network as well.
@davide-f
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Many thanks @Eric-Nitschke :D That's a quite neat application!
Would you like to add a release note?

Changes:
- add a describtion of this pull request to the release_notes.rst
@Eric-Nitschke
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@davide-f Thanks :)
I've added a relase note to the pull request!

@ekatef ekatef mentioned this pull request Nov 28, 2024
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Hello @Eric-Nitschke, thanks a lot for investigating the issue and contributing the fix!

Have added some technical comments mainly aimed at better understanding and maintainability improvements. I recognise that the PR follows PyPSA-Eur implementation which is more or less state-of-the-art, but it would be definitely great to have deeper understanding of possible further improvements on some weak points. Your insights in this regard would be very helpful.

Personally, I think that this PR can be probably merged as-is as it feels like a much needed bug-fix. It would be great to have a review of @Eddy-JV who has been working on implementing similar solutions in PyPSA-Eur and definitely has a better overview

Comment on lines -213 to -229
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I guess those are changes from an automated run of github workflow? 😄 Don't think we need them in the PR. Could you please remove them?

The recent PR #1210 changes a mode of the automated updates of the contributors list to a pre-scheduled one. So we don't loose track of contributions but PRs won't have those irrelevant additions anymore.

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I agree.

doc/release_notes.rst Outdated Show resolved Hide resolved
Comment on lines +273 to +274

"Split bidirectional links into two unidirectional links to include transmission losses."
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Usually, we are using """ to write docstrings

Comment on lines +857 to +858
def add_lossy_bidirectional_link_constraints(n: pypsa.components.Network) -> None:
"""
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Types hinting is generally a great idea, but we don't use. I'd suggest to remove it here for consistency.

Happy to discuss an overall revision to implement type hinting across the whole codebase if feels handy

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Agree. Maybe we can put this as a seperate issue if needed.

return

n.links["reversed"] = n.links.reversed.fillna(0).astype(bool)
carriers = n.links.loc[n.links.reversed, "carrier"].unique() # noqa: F841
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I understand that noqa: F841 follows PyPSA-Eur implementation. Haven't you tried to understand what is the reason of it's inclusion into the code?

Looking into flake8 error codes, it appears that # noqa: F841 suppresses warnings generated when local variable name is assigned to but never used. Frankly speaking, I'm not even sure it's working in our case as flake seems to be not included into our environment. Can we probably just remove it?

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Short answer: carriers is used in the lines just below, but the interpreter doesn't realize it, because its used in with .query(). Thats why noqa: F841 is used.

I'll write a long answer tomorrow.

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Slightly longer answer:

forward_i = n.links.query(
        "carrier in @carriers and ~reversed and p_nom_extendable"
    ).index

uses carriers, but because pandas.DataFrame.query() takes a string as an input, the python interpreter doesn't realize that carriers is used via the "@carriers".

I don't think it is necessary to use .query() here. Instead, we could use .loc[]:

forward_i = n.links.loc[
        (n.links.carrier in carriers) and
        ~n.links.reversed and
        n.links.p_nom_extendable
].index

In general, I think we should discuss whether we should phase out the use of .query() and replace it with .loc[] for all of PyPSA-Earth to make it more consistent and readable.

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Ahh, ok! Thanks a lot for investigating this! Agree with the proposal on replacing here query with loc

Regarding the overall code refactoring, totally agree that there is a room for improvement and you are very welcome to contribute there. Frankly speaking, I'm not ready to confirm that query is less readable than loc for all the cases. But you may be right that it could be over-used for sure, and happy to discuss you propositions!

Comment on lines +872 to +882
def get_backward_i(forward_i):
return pd.Index(
[
(
re.sub(r"-(\d{4})$", r"-reversed-\1", s)
if re.search(r"-\d{4}$", s)
else s + "-reversed"
)
for s in forward_i
]
)
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Just for better understanding, what is a particular reason to apply here regular expressions? Again, I understand that implementation follows PyPSA-Eur and I'm perfectly fine with leaving it there. Just trying to draft some approach to further improvements which we could probably add as TODO if it would make sense 🙂

I guess sub is used to extract the identifications from the links indices and build corresponding names for the reversed links. However, regexpr are not exactly readable, and the implementation can easily break if PyPSA conventions would change. I wonder if some pandas string functions can provide a good replacement?

Regular expressions are

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Regular expression enables it us to easily change indices tha end in a four digit number to not end in reversed but have it in the middle instead. I.e. "H2 pipeline DZ0 0-DZ0-1234" to "H2 pipeline DZ0 0-DZ0-reversed-1234" instead of "H2 pipeline DZ0 0-DZ0-1234-reversed".
That being said, no component in PyPSA-Earth ends in a four digit number and the H2 pipelines definitely don't. I'm not even sure if PyPSA-Eur does anymore, since it never looks for a r"-(\d{4})$" ending.

If we assume that the four digit ending can be ignored, the whole thing could be replaced with something like backward_i = forward_i + "-reversed" or backward_i = forward_i.apply(lambda x: f"{x}-reversed").

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Thanks a lot for the explanations. Do you see any advantages in having "reversed" in the middle of the link name?

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@ekatef I don't see any advantage to it.

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Thank you @Eric-Nitschke for this very important contribution.

I took the liberty to add some comments in order to cover this PR #1192 as well as PR #1215 and Issue #1213 at once. Feel free to discuss, if you think things can be done differently. Thanks again for the great work.

Comment on lines -213 to -229
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I agree.

lossy_bidirectional_links(n, "H2 pipeline")


def lossy_bidirectional_links(n: pypsa.components.Network, carrier: str):
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I think that it is better to move lossy_bidirectional_links to helpers.py, beacuse it will be used more than once throughout the workflow.

Additionally, I would prefer to apply directly the length based pipeline efficiency that I saw in PR #1215. Consequently changing the function to the following similarly to PyPSA-Eur but without the .location at the moment:

  def lossy_bidirectional_links(n, carrier, efficiencies={}):
  
      ``` Split bidirectional links into two unidirectional links to include transmission losses. ```
      
      carrier_i = n.links.query("carrier == @carrier").index
  
      if (
          not any((v != 1.0) or (v >= 0) for v in efficiencies.values())
          or carrier_i.empty
      ):
          return
  
      efficiency_static = efficiencies.get("efficiency_static", 1)
      efficiency_per_1000km = efficiencies.get("efficiency_per_1000km", 1)
      compression_per_1000km = efficiencies.get("compression_per_1000km", 0)
  
      logger.info(
          f"Specified losses for {carrier} transmission "
          f"(static: {efficiency_static}, per 1000km: {efficiency_per_1000km}, compression per 1000km: {compression_per_1000km}). "
          "Splitting bidirectional links."
      )
  
      n.links.loc[carrier_i, "p_min_pu"] = 0
      n.links.loc[carrier_i, "efficiency"] = (
          efficiency_static
          * efficiency_per_1000km ** (n.links.loc[carrier_i, "length"] / 1e3)
      )
      rev_links = (
          n.links.loc[carrier_i].copy().rename({"bus0": "bus1", "bus1": "bus0"}, axis=1)
      )
      rev_links["length_original"] = rev_links["length"]
      rev_links["capital_cost"] = 0
      rev_links["length"] = 0
      rev_links["reversed"] = True
      rev_links.index = rev_links.index.map(lambda x: x + "-reversed")
  
      n.links = pd.concat([n.links, rev_links], sort=False)
      n.links["reversed"] = n.links["reversed"].fillna(False).infer_objects(copy=False)
      n.links["length_original"] = n.links["length_original"].fillna(n.links.length)
  
      # do compression losses after concatenation to take electricity consumption at bus0 in either direction
      carrier_i = n.links.query("carrier == @carrier").index
      if compression_per_1000km > 0:
          n.links.loc[carrier_i, "bus2"] = n.links.loc[
              carrier_i, "bus0"
          ].str.removesuffix(' ')
          # TODO: use these lines to set bus 2 instead, once n.buses.location is functional and remove bus_suffix.
          """
          n.links.loc[carrier_i, "bus2"] = n.links.loc[carrier_i, "bus0"].map(
              n.buses.location
          )  # electricity
          """
          n.links.loc[carrier_i, "efficiency2"] = (
              -compression_per_1000km * n.links.loc[carrier_i, "length_original"] / 1e3
          )

As for the config file, the following change is advised in sector :

  transmission_efficiency:
    H2 pipeline:
      efficiency_per_1000km: 0.983 # DEA technology data. Energy losses, lines 5000-20000 MW, [%/1000 km] and year 2050
      compression_per_1000km: 0.015 # DEA technology data. year 2050

If this is done as above, then PR #1215 is not needed anymore and issue #1213 can be closed.

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Great idea, to move the function to helpers!

I think it's nice to implement both PR's together, but I'd prefer to leave the functions seperate (eventhough PyPSA-Eur combines them) to make them more reusable. I think it's quite plausible, that some new components might be bidirectional and lossy, but without a length-based efficiency, or have a length-based efficiency, but are only unidirectional.

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@Eddy-JV regarding the efficiency_per_1000km you provided:
Is it intentional, that the pipeline loses hydrogen substance (which results from an efficiency_per_1000km < 1) or should it just require more electricity per distance, which is depicted by compression_per_1000km.

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@Eric-Nitschke Thank you for catching that. In the Hydrogen case the efficiency should be efficiency_per_1000km: 1 .
In DEA they consider the energy needs for compressors within the efficiency per 1000km for different classes of pipeline sizes. So I considered the mean of the largest two classes: 5000-20000 MW and >20000 MW for 2020, 2030 and 2050. Hence, the config will look as follows:

  transmission_efficiency:
    H2 pipeline:
      efficiency_per_1000km: 1 
      compression_per_1000km: 0.017 # DEA technology data. Mean of  Energy losses, lines 5000-20000 MW and lines >20000 MW for 2020, 2030 and 2050, [%/1000 km]

@@ -265,6 +265,36 @@ def attach_hydrogen_pipelines(n, costs, config):
carrier="H2 pipeline",
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efficiency=costs.at["H2 pipeline", "efficiency"], to be removed as it is set now in lossy_bidirectional_links as per below comments.

n.links = pd.concat([n.links, rev_links], sort=False)
n.links["reversed"] = n.links["reversed"].fillna(False).infer_objects(copy=False)
n.links["length_original"] = n.links["length_original"].fillna(n.links.length)


if __name__ == "__main__":
if "snakemake" not in globals():
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Please accomodate for override components by:

Removing:
n = pypsa.Network(snakemake.input.network)

Adding:
overrides = override_component_attrs(snakemake.input.overrides)
n = pypsa.Network(snakemake.input.network, override_component_attrs=overrides)

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@davide-f @ekatef please check if it is ok to override components in the electricity only model.

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Hey @Eddy-JV, frankly speaking I'm not quite aware of the proper approach to overwrite attributes. I assume the need arises from the need to translate a power-only model into the sector-coupled version, but having a bit more details would be appreciated 🙂

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@Eric-Nitschke Eric-Nitschke Dec 24, 2024

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Hey @ekatef, in this case the need arises from adding a compression electricity demand to the pipelines. This requires a third bus (bus2) for the link and a corresponding efficiency (efficiency2). The override_component_attr function adds these fields (and more) to the network.

@@ -265,6 +265,36 @@ def attach_hydrogen_pipelines(n, costs, config):
carrier="H2 pipeline",
)

# setup pipelines as bidirectional and lossy
lossy_bidirectional_links(n, "H2 pipeline")
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Based on all my suggestions, this would be change to:

    # Add option to specify losses for bidirectional links, e.g. pipelines or HVDC links, 
    # in configuration file under sector: transmission_efficiency:. 
    # Users can specify static or length-dependent values as well as a length-dependent electricity demand for compression,
    #  which is implemented as a multi-link to the local electricity buses. 
    # The bidirectional links will then be split into two unidirectional links with linked capacities

    for k, v in snakemake.params.transmission_efficiency.items():
        if k == "H2 pipeline":
            lossy_bidirectional_links(n, k, v)

And in the snakefile please add to the rule add_extra_components:

       params:
              transmission_efficiency=config["sector"]["transmission_efficiency"],

@@ -854,6 +854,43 @@ def add_existing(n):
n.generators.loc[tech_index, tech] = existing_res


def add_lossy_bidirectional_link_constraints(n: pypsa.components.Network) -> None:
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I did this slightly different (See below). Feel free to check and comment if you do not agree:

def add_lossy_bidirectional_link_constraints(n):
    """
        Ensures that the two links simulating a bidirectional_link are extended the same amount.
    """
    if not n.links.p_nom_extendable.any() or "reversed" not in n.links.columns:
        return

    # Ensure 'reversed' column is boolean
    n.links["reversed"] = n.links.reversed.fillna(0).astype(bool)
    carriers = n.links.loc[n.links.reversed, "carrier"].unique()

    # Get forward link indices (non-reversed)
    forward_i = n.links.query(
        "carrier in @carriers and ~reversed and p_nom_extendable"
    ).index

    # Function to get backward (reversed) indices corresponding to forward links
    def get_backward_i(forward_i):
        return pd.Index(
            [
                re.sub(r"-(\d{4})$", r"-reversed-\1", s)
                if re.search(r"-\d{4}$", s)
                else s + "-reversed"
                for s in forward_i
            ]
        )

    backward_i = get_backward_i(forward_i)

    # Get the p_nom optimization variables for the links using the get_var function
    links_p_nom = get_var(n, "Link", "p_nom")

    # Only consider forward and backward links that are present in the optimization variables
    subset_forward = forward_i.intersection(links_p_nom.index)
    subset_backward = backward_i.intersection(links_p_nom.index)

    # Ensure we have a matching number of forward and backward links
    if len(subset_forward) != len(subset_backward):
        raise ValueError("Mismatch between forward and backward links.")

    # For each forward index, find the corresponding backward index and define the constraint
    for fwd, bwd in zip(subset_forward, subset_backward):
        lhs = linexpr((1, links_p_nom.loc[bwd]))  # LHS (backward link)
        rhs = linexpr((-1, links_p_nom.loc[fwd]))  # RHS (forward link with -1 coefficient)

        # Define the constraint for this pair of forward-backward link
        define_constraints(
            n,
            lhs + rhs,  # LHS - RHS = 0 (equality constraint)
            "=",
            0,  # Right-hand side is 0 because we want them to be equal
            name="Link",
            attr=f"bidirectional_sync_{fwd}",  # Custom name for this constraint (per pair)
            axes=[pd.Index([fwd])]  # The axes refer to the forward link
        )

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Hey @Eddy-JV, even though the additional checks you proposed here are not neccessary right now, I think it's great to future-proof the code right now. I'm going to include the additional checks in the final version.
However, I wouldn't add the constraints one by one for each component, since no other constraint is added that way.

Comment on lines +857 to +858
def add_lossy_bidirectional_link_constraints(n: pypsa.components.Network) -> None:
"""
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Agree. Maybe we can put this as a seperate issue if needed.

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ekatef commented Dec 11, 2024

Hello @Eric-Nitschke and @Eddy-JV! Great work on reviewing the PR.

@Eric-Nitschke do you need any support in revisions? If they look heavy, could it make sense to breakdown the task? That is a precious contribution, and it would be great to have it merged into the model 🙂

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Eric-Nitschke commented Dec 13, 2024

Hey @ekatef,

in general I think the revisions look quite doable and I'm planning on finishing them before the holidays!
Still I'd like to make sure that we all agree on what the changes should look like:

Major changes:

  • move the lossy_bidirectional_links to _helpers
  • combine the lossy_bidirectional_links with the length based link efficiency. I would add them as two seperate functions to helpers.
  • maybe change the constraint implementation as suggested by @Eddy-JV. I'm not yet fully sure on this, as I didn't have time yet to fully review it.

Minor changes:

  • fix the readme
  • use only """ for docstring
  • change query to loc in the constraint implementation (foreward_i)
  • replace the regular expression in the constraint implementation (backward_i)
  • add the transmission efficiencies provided by @Eddy-JV to the config
  • include override_components to allow for the length based efficiency implementation (cf. PR Length based pipeline efficiency #1215)
  • add better comments (use the ones suggested by @Eddy-JV)

Discussions for another time:

  • type hints, yay or nay?
  • should the pipelines be implemented based on pressure instead?
  • remove unnecessary regular expressions.

Did I miss anything?

Tests:

  • run with both lossy bidirectional pipelines and length based pipeline efficiencies
  • run with length based pipeline efficiencies
  • run with lossy bidirectional pipelines

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Eddy-JV commented Dec 15, 2024

Hey @ekatef,

in general I think the revisions look quite doable and I'm planning on finishing them before the holidays! Still I'd like to make sure that we all agree on what the changes should look like:

Major changes:

  • move the lossy_bidirectional_links to _helpers
  • combine the lossy_bidirectional_links with the length based link efficiency. I would add them as two seperate functions to helpers.
  • maybe change the constraint implementation as suggested by @Eddy-JV. I'm not yet fully sure on this, as I didn't have time yet to fully review it.

Minor changes:

  • fix the readme
  • use only """ for docstring
  • change query to loc in the constraint implementation (foreward_i)
  • replace the regular expression in the constraint implementation (backward_i)
  • add the transmission efficiencies provided by @Eddy-JV to the config
  • include override_components to allow for the length based efficiency implementation (cf. PR Length based pipeline efficiency #1215)
  • add better comments (use the ones suggested by @Eddy-JV)

Discussions for another time:

  • type hints, yay or nay?
  • should the pipelines be implemented based on pressure instead?
  • remove unnecessary regular expressions.

Did I miss anything?

Hey @Eric-Nitschke @ekatef . I think the PR is ready for merge once the above checklist provided by @Eric-Nitschke is done. I also replied to @Eric-Nitschke's comment regarding the config file. Thank you @Eric-Nitschke for the great work and looking forward for future contributions.

Eric-Nitschke and others added 4 commits December 19, 2024 10:36
* Update CI

* Change contrib job weekly

* Update environment: ppl and atlite

* Update pinned files

* Reset ci cache

* Revise vresutils pinned

* Add release_note

(cherry picked from commit 114a953)
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ekatef commented Dec 28, 2024

Hello 😄
Just wanted to ask if any support may be needed 🙂

@Eric-Nitschke thanks a lot for all the responses and creating a check-list, thank you so much @Eddy-JV for the in-depth review and providing insights into the architecture 🙏🏽

I wonder what is the plan to proceed? @Eric-Nitschke I see that you have ticked the boxes but it appears that the changes have not been pushed to github. Do you experience any issues with git? [I have no ideas why but git is normally provides you with a lot of surprises when you start working in a repo] Happy to assist in resolving them if needed. Also, I see that there are some conflicts with the main. They result from come changes we introduced recently inside main and can be resolved relatively easily. Let me know if any hints on that would be helpful

@Eddy-JV on the architectural level, I understand the idea is to polish the pipelines representation to a level when the model is truly realistic. Though, I have a feeling that the work needed may be considerable. @Eric-Nitschke do you see how to proceed with the advanced implementation proposed by @Eddy-JV? May be any break-down helpful?

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4 participants