A grid buy price list cannot be assigned after setting up the problem

[genevievestarke]

A grid buy price list cannot be assigned after setting up the problem

If a grid buy price is initialized as a single value (set to one value or not set), then it is given the size of 1. If you then try to assign a list of prices to that variable that you've loaded in, for example, you get an error saying that you cannot assign a variable of length 8760 to a variable of length 1. This means that you can only define a grid buy price list from the yaml file.

How to reproduce

Relevant output

System Information

• OS: <macOS 12.4>
• Python version: <3.11.4>
• H2Integrate version: <0.1.1>
  • <Installed from source using an editable installation with developer tools: pip install -e .[develop]>
  • Commit hash:

Relevant library versions

Package	Version
hopp	<3.1.1>
numpy	<1.26.4>
Pyomo	<6.8.0>
scipy	<1.14.1>

[johnjasa]

Could you define a grid buy price of length 8760 in the yaml (so that it gets instantiated with that size), then overwrite the inputted value after setting up the problem? Or is that not an amenable solution for your use case?

[genevievestarke]

I ended up setting it using the yaml ! include function and loaded a pre-saved price file.

      cost_parameters:
        cost_year: 2022
        electricity_buy_price: !include buy_price.yaml # $/kWh - only buying, no selling
        interconnection_capex_per_kw: 0.0  # $/kW capital cost
        interconnection_opex_per_kw: 0.0  # $/kW/year O&M cost
        fixed_interconnection_cost: 0.0  # $ one-time fixed cost

[genevievestarke]

It would be great if the electricity_buy_price variable could be set by the set_val function, especially in conjunction with PR #605 . The commodity purchasing functionality that #605 adds in also uses a commodity buy price list, so it would be great if electricity_buy_price was an official input to the grid performance model so that it could be connected internally to the storage model.