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Regarding HP heat demand-Electrical power; Self-consumption; Location
Hello Sir,
I am currently working on my Master's thesis on "Demand Side Flexibility". In order to analyze household load consumption and PV generation data, I am interested in utilizing "alpg". I have a few questions regarding the Heat Pump's Heat Demand Output, the results of Self-Consumption, and the location in Germany.
1: Result folder:
- I have a dataset called "Heatdemand_Profile" which contains information on the heat demand (in Watts) for DH Water. In addition, I also have a "Heat gain profile" which includes the combined heat gain from both people and devices. My question is whether the values in these datasets are already in electrical power (Watts) or if I need to convert them using the COP?
- Additionally, I would like to inquire about how the HP or CHP heat demand is factored into the results. I have also observed alterations in the profiles of "Heat gain" and "Heat gain persons" based on the thermostat's response to achieving the set point temperature. Could you clarify if the data for "Heat gain persons" (measured in Watts) is equivalent to the heat pump's heat demand, or do I need to do something else for the calculation? I would appreciate your guidance on this matter.
2: example.py: -In the "example.py" file, I came across a line that reads, "This emulates the Dutch 'nul-op-the-meter regime (net zero annual electricity usage)." From this, it appears that the output is generated using either a self-consumption or a net-metering mechanism to achieve net-zero annual electricity usage. Can you provide more clarity on the meaning of this line?
- I need to update the location from the Netherlands to Germany in this file. I switched from the "Europe/Amsterdam" timezone to "Europe/Berlin" in order to collect German household data, and I also updated the latitude and longitude accordingly. I'm curious to know if the changes I made are enough to display the relevant data or if I need to modify anything else in the config or input folder.
Thank you in advance!