help to compare different heat pumps

[alex9green]

I'd be incredibly grateful if someone could share some additional examples or resources that would be helpful for someone in my situation. (I don't have a programming background/just edit and run scripts )

Scenario: A house has a load of 8.7 kW ( A-7C) for a flow temperature of 55°C.
Goal: I'd like to identify the most suitable heat pump for my needs and get an estimation of its performance using Degree Days data from https://www.degreedays.net/.

-or the possibility of optimizing defrost cycle parameters for heat pumps using real-world data. I am particularly interested in exploring how data-driven approaches can be applied to improve the efficiency and performance of heat pumps.

-select refrigerant type

Examples like that would be particularly helpful

Any insights or resources you can share would be greatly appreciated!

Thank you for your time and support.

[alex9green]

Are there specific commands or tools that can be used to interact with the database and make changes/updates ?

[xihaui]

Hello alex9green,

this repository can simulate different heat pumps. For that you need the flow temperature of the water, the outside temperature for air/water heat pumps. You could start a simulation by downloading hplib and importing it in your file:

from hplib import hplib

than you could make a loop for all suitable heat pumps and than simulate the COP for every timestep

df = pd.read_csv('../input/TestYear.csv')
df['T_amb'] = df['T_in_primary'] # air/water heat pump -> T_amb = T_in_primary
# Simulate with values
# Load parameters
parameters = hpl.get_parameters('**modelname**')
# Create heat pump object with parameters
heatpump = hpl.HeatPump(parameters)
# whereas mode = 1 is for heating and mode = 2 is for cooling
results = heatpump.simulate(t_in_primary=df['T_in_primary'].values, t_in_secondary=df['T_in_secondary'].values, t_amb=df['T_amb'].values, mode=1)

Good luck with your project!

Kind regards,
Hauke