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787 dynamic heating and cooling profiles #788

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@DaJansenGit DaJansenGit commented Nov 27, 2024

closes #787

Thanks to @HoeppJ for adding the adjusted heating and cooling profiles from DIN 18599-10!

@DaJansenGit DaJansenGit self-assigned this Nov 27, 2024
@DaJansenGit DaJansenGit linked an issue Nov 27, 2024 that may be closed by this pull request
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The changes look good, but I think you have to increase the version number to 1.1.0, as the change may have a large impact on the results. Are the setbacks now the new default for archetype export? If so, maybe a quick comparison of how heat demands change would be good for release notes, what do you think?

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The changes look good, but I think you have to increase the version number to 1.1.0, as the change may have a large impact on the results. Are the setbacks now the new default for archetype export? If so, maybe a quick comparison of how heat demands change would be good for release notes, what do you think?

I agree. I think it makes sense to use those as new defaults but you are right, we should at least give some information what the effects of these changes are. I will provide some wrap up here about how the results change for the examples before we merge this and will increase version to v1.1.0. Thanks :)

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Hi, I noticed that the profiles for "Living" are not changed, but these are used for the residential buildings. Can you change them as well?

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Hi, I noticed that the profiles for "Living" are not changed, but these are used for the residential buildings. Can you change them as well?

Hey, those were not adjusted because DIN EN 18599-10 is only for non residential buildings and doesn't offer data for living. The data for Living is coming from SIA 2024 which does not offer temperature profiles. But we can just add some night set back. Actually when looking at SIA 2024 I found that they offer a Living-MFH and Living-SFH dataset. It seems like the current data is based on the Living-SFH data, so I will leave this data set as it is (apart from the heating and cooling profiles) to stay backwards compatible and add Living-MFH as well.

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DaJansenGit commented Nov 30, 2024

Some documentation regarding the changes:

  • I assume the current values for Living are taken from/based on SIA 2024 for Living-SFH based on the person related internal heat gains
  • Living-SFH and Living-MFH only difference is the persons/m². For SFH its 50m²/person and MFH 30m²/person. I think it makes sense to implement the MFH version here, as this makes an actual difference in the internal loads and it seems valid to me that in SFHs do generally have more space per person than MFHs.
  • Machine internal gains are not fitting the data from SIA 2024 (existing data says for existing Living data but I won't change this 2 W/m², but SIA 2024 would suggest 8 W/m². Looking at DIN V 4108-6, Table 2 suggests 5 W/m² as an average value per day. But from my personal feeling both 5 W/m² and 8 W/m² feels a bit high. I will leave the value of 2 W/m² for both (SFH and MFH)
  • Profiles for persons and machines are the same in SIA 2024 for EFH and MFH, but do not fit the existing data in TEASER. I actually have no idea where the existing data is taken from... T.b.d. if we change this. The profiles in SIA have less appearance of persons in general and less appearance of machine gains. Changing the data profile data to SIA values would therefore decrease the internal loads in the simulation and thus increase simulated heating demand.
  • For heating profile I just a night set back from 23:00-06:00 to 18 °C. For cooling I added no set back.

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DaJansenGit commented Nov 30, 2024

Changes to simulation results

  • Generated with e2_export_aixlib_models.py,
  • for benchmark with main branch on commit c048339
  • for the new usage conditions with commit 9f11638

Plots Living

image

Plots Office

image

Plots Institute

image

General analysis

  • Changes in total heating demand per year are around 30-40 % due to the heating set back.
  • Set temperatures are still reached during the day but less overheating.

Discussion

  • The difference in the overall heating demand seems quite high to me, but when looking at the result on day level, we can see the savings in provided heating power. Here are the results for residential building:
    image
  • @FWuellhorst what do you think about this? I had a look at your gas consumption saving paper from 2022:
    image
    Here you found ~8 °C gas consumption reduction for 19 °C and ~14 % for 17 °C. We have a set back to 18 °C here and a reduction of the heating demands of 29 % which seems too much and in our case here we don't even take heat losses through storage etc. into account.
  • Normal set temperature is 21 °C in both cases and the TEASER results displayed here are for a building from 1988. Your analysis took a representation of the German building stock into account, but with 1988 we shouldn't be that far away from an average building in my opinion...

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@DaJansenGit The values in the paper are an average for the whole German building stock, simulated by Michael. I also think 30-40 % is a bit much. Maybe @HvanderStok can shed more light on possible savings when comparing the calculations to demand data and BESMod simulations. I could image that the walls get really cold as the ideal heater only heats the volume, but otherwise the trajectories look ok.

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dynamic heating and cooling profiles
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