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I've been working with the project_singlefamilydetached directory, and I'm wondering exactly how to determine the heating load of a home.

My objective is to compare heating with a GSHP to a propane furnace. Some context:

1. I'm running two simulations: one with the GSHP upgrade ("HVAC System Heat Pump|GSHP") and one with the propane upgrade ("HVAC System Propane Heating|Propane Furnace, AFUE 60%"). Other than the two changes in the Apply Upgrade field, every other parameter is the same.
2. The location is fixed to be MI_Alpena.County.Rgnl.AP.726390
3. I'm using a constant seed value of 10 in the Algorithm Settings

After running the two simulations, I download the respective timeseries.csv files, and compare outputs of buildings with the same building_id that has had the respective upgrades applied. What I've found so far:

1. Converting the values in electricity_heating_kwh from the GSHP upgrade scenario to kJ, and converting the values in propane_heating_mbtu from the propane upgrade scenario to kJ, do NOT equate each other. For the GSHP, I multiplied the values by the COP (3.6), and for the Propane, I multiplied the values by the AFUE (0.6)--after converting both to kJ, of course.
2. I compared values in the "ZONE PREDICTED SENSIBLE LOAD TO HEATING SETPOINT HEAT TRANSFER RATE (LIVING ZONE) [W]" and "ZONE PREDICTED SENSIBLE LOAD TO SETPOINT HEAT TRANSFER RATE (LIVING ZONE) [W]" columns for both upgrade scenarios, and found that they do NOT equate each other. Even after converting the negative values to equal 0, since I ONLY wish to determine heating load, the values still don't equate each other. The two column labels I mentioned were obtained by referencing the eplusout.rdd file.

I'm unsure what to do at this point. Is there something I'm not accounting for? Am I not looking at the right variables? If I'm comparing two buildings, with all variables remaining constant except for the HVAC upgrade, shouldn't there be something that lets me know the heating load of the home, independent of the type of the heating system?

Here's a link to a google folder that contains:

1. results.csv for both the GSHP upgrade and the Propane upgrade
2. enduse_timeseries.csv for Building_id = 1, for both the GSHP upgrade and Propane upgrade scenario https://drive.google.com/drive/folders/1huTZ0Fe8VtyeieqNu8E-Ffwia0vSZrjE?usp=sharing

I've been working with the project_singlefamilydetached directory, and I'm wondering exactly how to determine the heating load of a home.

My objective is to compare heating with a GSHP to a propane furnace. Some context:

1. I'm running two simulations: one with the GSHP upgrade ("HVAC System Heat Pump|GSHP") and one with the propane upgrade ("HVAC System Propane Heating|Propane Furnace, AFUE 60%"). Other than the two changes in the Apply Upgrade field, every other parameter is the same.
2. The location is fixed to be MI_Alpena.County.Rgnl.AP.726390
3. I'm using a constant seed value of 10 in the Algorithm Settings

After running the two simulations, I download the respective timeseries.csv files, and compare outputs of buildings with the same building_id that has had the respective upgrades applied. What I've found so far:

1. Converting the values in electricity_heating_kwh from the GSHP upgrade scenario to kJ, and converting the values in propane_heating_mbtu from the propane upgrade scenario to kJ, do NOT equate each other. For the GSHP, I multiplied the values by the COP (3.6), and for the Propane, I multiplied the values by the AFUE (0.6)--after converting both to kJ, of course.
2. I compared values in the "ZONE PREDICTED SENSIBLE LOAD TO HEATING SETPOINT HEAT TRANSFER RATE (LIVING ZONE) [W]" and "ZONE PREDICTED SENSIBLE LOAD TO SETPOINT HEAT TRANSFER RATE (LIVING ZONE) [W]" columns for both upgrade scenarios, and found that they do NOT equate each other. Even after converting the negative values to equal 0, since I ONLY wish to determine heating load, the values still don't equate each other. The two column labels I mentioned were obtained by referencing the eplusout.rdd file.

I'm unsure what to do at this point. Is there something I'm not accounting for? Am I not looking at the right variables? If I'm comparing two buildings, with all variables remaining constant except for the HVAC upgrade, shouldn't there be something that lets me know the heating load of the home, independent of the type of the heating system?

Here's a link to a google folder that contains:

1. results.csv for both the GSHP upgrade and the Propane upgrade
2. enduse_timeseries.csv for Building_id = 1, for both the GSHP upgrade and Propane upgrade scenario https://drive.google.com/drive/folders/1huTZ0Fe8VtyeieqNu8E-Ffwia0vSZrjE?usp=sharing