calliope-project/calliope

Calliope development discussion room

Francesco Lombardi

@FLomb

so clearly my suggestion of setting a negative om_prod for transmission techs has not been very smart. And though it might maybe work better in a case in which supply capacity is more constrained, still I am realising that the model would try to move energy from one node to the other even before self-consuming (i.e. one node satisfies the demand of the other, instead of its own, to earn money), which is not what you wanted, I guess

to summarise, I think you would like to have trading with revenue only "after" self consumption, right? something like the "export" feature of PV in the example urban model, but between nodes instead of generic?

jvValdes

@jvValdes

Hi, yes, sorry. You are right, I did not used the N1. But I think I need to maintain supply_gas in X1 for running the chp.

jvValdes

@jvValdes

You are right, the model will always overproduce a small quantity of energy and trade it between nodes as many times as possible until the maximum capacity is reached. Please note that as the system tries to minimize costs, the quantity of energy overproduced is small compared to the quantity of energy traded. The only penalisation both nodes have is the energy_eff of the transmission lines set to 0.98.

jvValdes

@jvValdes

I would like to have a trade between nodes with revenues, that means that some nodes will compute a cost and other nodes a gain. The export feature is similar, but I am not sure if it would be a solution. With such kind of feature I would not be able to identfy the source of the flows and the required transmission capacities between nodes. Which is one of the features that makes Calliope so attractive. Moreover, it may be necessary to define an extra import feature?

hardcorejesus

@hardcorejesus

Hello everyone, student here writing my master's thesis. I am interested in demand response management using Calliope. Is it possible since demand is used as a fixed input?

Rodrigo Amaro e Silva

@ramaroesilva

@brynpickering, about a past error message reported by Nicolò Stevanato (@Stevogallo) regarding a one_way transmission technology

in his case "Index '('MTKR::hvdc_220_new:NBOR::power', Timestamp('2035-06-01 00:00:00'))' is not valid for indexed component 'carrier_prod'"

@luzgui and I tried out this one_way solution ourselves just recently, and in our case we got that error whenever we defined an om_prod or an om_con for the transmission tech

our interpretation is that the "one_way" makes the con and prod inexistent for the "blocked" direction and thus calliope cannot apply the costs (which are assumed for both directions)

Bryn Pickering

@brynpickering

thanks for the update @ramaroesilva, looks like a bug to create an issue from! I've done so here: calliope-project/calliope#316

Rodrigo Amaro e Silva

@ramaroesilva

Hi everyone. This review work might be of interest for the calliope community:
https://www.sciencedirect.com/science/article/pii/S1364032120302082

Rodrigo Amaro e Silva

@ramaroesilva

Question for the day: is there any configuration on Calliope where we can define that once a generator is turned on, it can only be turned off after N timesteps of operation?

Francesco Lombardi

@FLomb

hey Rodrigo, I think this is a feature that has been requested a couple of times already, and which is currently - unless I've overlooked some of the recent changes - not available

or perhaps not precisely, because what was asked before was a general constraint that may allow setting a number of "operating hours" for a given plant over the year, not a "minimum number of operating hours after switch on"

what you ask is something one could add to the MILP formulation, because clearly it requires having an integer description of generators to be able to figure out which one is on and which one is off

Rodrigo Amaro e Silva

@ramaroesilva

Thanks for the feedback Francesco ;)

Rodrigo Amaro e Silva

@ramaroesilva

Hi everyone.

Tried to create today a new calliope 0.6.5 environment and when everything was installed, running my code gave the following error:

"ImportError: pyutilib.enum has been removed.

Python 3 now has an enum implementation in the standard library (also available for older Python versions as the third-party enum34 PyPI package) that supersedes this library."

Rodrigo Amaro e Silva

@ramaroesilva

With the help of @luzgui, we found out that this happens for version 6.0.0 of pyutilib.

So I created my calliope environment specifically with pyutilib=5.8.0

Bryn Pickering

@brynpickering

Yeah, seems this is a dependency issue that has been flagged here calliope-project/calliope#318
We'll probably push a fixed minor release soon, to deal with this. For now, as you say @ramaroesilva, you can install a working environment with: conda create -n calliope -c conda-forge calliope=0.6.5 pyutilib=5.8.0

Rodrigo Amaro e Silva

@ramaroesilva

Thanks Bryn! Btw, I promise I'll start looking first at Calliope's issues to avoid redudant posts here O:)

Bryn Pickering

@brynpickering

haha, it wasn't my aim to guilt trip you into doing so ;)

It seems that some change in dependencies has led to everyone having this installation problem at the same time

Rodrigo Amaro e Silva

@ramaroesilva

Hi calliope community! Two comments:

1) in https://calliope.readthedocs.io/en/stable/user/config_defaults.html, "resource_area_per_energy_cap" is described as a boolean although, when defined, it is a float

2) in the clustering advanced feature support text, it would nice to include "The final time series is then re-scaled to match the mean of the original time series."

Source: "Dealing with multiple decades of hourly wind and PV time series inenergy models: A comparison of methods to reduce time resolution andthe planning implications of inter-annual variability" from @sjpfenninger

nakaret-b

@nakaret-b

Hello All, I am a graduate student and I have just started to learn Calliope. I have read tutorials in Calliope website but still get confused. I have 3 basic questions 1): how can I open and modify the model? at the moment what I do is go to Calliope folder/example_models/national_scale/ and open by text editor. 2): in the tutorials, there are links to jupyter notebook, the code in this notebook is used to run the model only, am I correct? 3): Do I need to know about coding in Python? I would be great if there is tutorial video in the Youtube for the beginner like me. Thank for advanced.

Rodrigo Amaro e Silva

@ramaroesilva

hi @nakaret-b. my personal take on your questions:

1) to edit the models you will have to customize the .yaml files (which can be done in any text processor, although I would suggest tools such as Spyder or Atom).

2) you can edit and run the models in Jupyter Notebook, edit+run in a Python IDE (e.g. Spyder) or edit in a text editor (e.g. Atom) + run in the terminal

3) I would suggest understanding some basic Python (there are tons of videos/tutorials on the internet) and getting a good grasp on the .yaml sintax (as these are the files that define your model) by trying to understand the examples from the tutorials and documentation

Cameron Wade

@_clameron_gitlab

Hi @sjpfenninger @brynpickering , I'm wondering if there's any plan -- near or long term -- to expanding Calliope to have multiple investment periods? Thanks!

nakaret-b

@nakaret-b

Thank you @ramaroesilva , your answers are very helpful for me. I downloaded a national scale example model- Jupyter notebook(tutorial1 ), then, I run the model on Mac OS, everything is fine and I found that the Calliope model of this example (YAML files) is stored in opt/anaconda3/envs/calliope/lib/python3.8/site-packages/calliope/example_models. There are 2 folders here national_scale and urban_scale. My question is: Can I copy these folders to desktop and run via Jupyter notebook? because I want to edit the YAML files with Spyder but the path to these folders is hidden on Mac so Spyder did not see them. Now I copied them to desktop and can edit via Spyder but I don't know how to code in Notebook to get the model on desktop. I think I need to modify this code "model = calliope.examples.national_scale()" in Jupyter notebook. Please advise.

Rodrigo Amaro e Silva

@ramaroesilva

@_clameron_gitlab, what do you mean?

@nakaret-b, just as you said, you should first copy the folder to some familiar directory. it should contain the following:

Rodrigo Amaro e Silva

@ramaroesilva

for running your custom/personal models, take a look at https://calliope.readthedocs.io/en/stable/user/running.html

Bryn Pickering

@brynpickering

@nakaret-b, @ramaroesilva is right, you just need to have the model in a known directory, then you can load it using calliope.Model(...), as mentioned in https://calliope.readthedocs.io/en/stable/user/running.html. The content of the example model YAML files can also be found in the documentation. You can get away with not knowing Python, by just editing the relevant YAML files and running the model via the command line.

@_clameron_gitlab, I assume you mean an optimisation that allows technology investment to take place at points in time that aren't the first timestep? E.g. optimising over several years and allowing new investment at the start of each year. We have that on the timeline for development this year. If you have thoughts on what you'd like to see in that feature, or ideas on how it could be well implemented, you can join the discussion on the GitHub issue (calliope-project/calliope#125) :)

Cameron Wade

@_clameron_gitlab

@brynpickering (and @ramaroesilva ) yep, that's exactly what i meant. And thanks for pointing me to the discussion, I'll be happy to join in! I see Tom Brown and the PyPSA developers are also heading in that direction.

Bryn Pickering

@brynpickering

Yep, based on the discussion I read on the openmod mailing list, I expect the result will look similar. The difference will probably be around the chosen simplifications in pypsa/calliope to ensure model tractability

nakaret-b

@nakaret-b

@ramaroesilva, @brynpickering , I have tried this " model = calliope.Model('Nakaret1/Desktop/Python/national_scale') " but there is an error message "FileNotFoundError: [Errno 2] No such file or directory: 'Nakaret1/Desktop/Python/national_scale'", Please advise me to correct this error. Thanks a lot.

Bryn Pickering

@brynpickering

take a look at the documentation and you'll see that you need to point to the model.yaml file, not the directory

and if you're on Windows, it might expect you to use backslashes to describe your path

Graeme Hawker

@GraemeHawker

Hi all, long time no etc, just to add to the list of publications: https://www.sciencedirect.com/science/article/pii/S0301421520300781

Bryn Pickering

@brynpickering

Great! We've now made it possible to add to our list of publications directly via a PR: https://github.com/calliope-project/callio.pe

Seba-Mart

@Seba-Mart

Hi everyone,
I'm a student of Energy Engineering and i'm developing my Master thesis on Calliope. I'm wondering if there's the possibility to export trasmission plot to Qgis or other Python envs. I would like to provide a better graphical output every time i run the model with different locations. Thanks in advance!

Rodrigo Amaro e Silva

@ramaroesilva

hi @Seba-Mart.
I'd say that in the end the calliope plots, in the end, are just data visualizations.
so, although I don't have experience with GIS, it should possible for you to edit the model outputs (accessed through "model_name.results") and save them in a format that you can handle in different platforms.

Guy

@guylr

Hello everyone, I was wondering what would be the best way to model timeseries capacity constraints on transmissions? In the pre-defined group, at least from what I saw, there is no way to specify the available resource as a CSV for transmission. Would you recommend just creating a new group which would allow this or is there something which exists already to do this which I am missing?

Bryn Pickering

@brynpickering

@Seba-Mart as @ramaroesilva says, your best bet is to visualise the raw data as you see fit. I'd say the best is to combine the results in model.results with a geopandas geodataframe, then go from there. To work in QGIS you probably want to save the results to CSV first (model.to_csv()).

@guylr, we currently don't have a way to specify timeseries capacity, but we have just added the ability to more easily add custom constraints to the Pyomo backend. You could write a function that is a valid Pyomo 'rule' and have it limit capacity based on a timeseries

Bryn Pickering

@brynpickering

/all we've just released version 0.6.6! A summary of changes can be found on our website. Most importantly are additions to the code from our wider modelling community, including a new run mode for modelling to generate spatially explicit alternative results (contributed by @FLomb) and the ability to point directly to dataframes for loading timeseries data (contributed by @ahilbers)
Minor changes will now be ramped down as we put together all the pieces for a larger overhaul of the internals, which should be ready early next year :)

Where communities thrive

People

Repo info

Activity