bottom-up residential energy demand time-series

[Matteo De Felice]

Dear people,

I was looking for an open model to simulate the household energy demand giving as input the appliances, the PV panels, the consumption patterns, etc. Something bottom-up. So far I have found:

- RAMP (https://github.com/RAMP-project/RAMP)

- ALPG (https://github.com/utwente-energy/alpg)

Do you know other similar projects?

Cheers,

[Robbie Morrison]

Hi Matteo

This following recent article might be of interest:

• Barrett, John, Steve Pye, Sam Betts-Davies, Oliver Broad, James Price, Nick Eyre, Jillian Anable, Christian Brand George Bennett, Rachel Carr-Whitworth, Alice Garvey, Jannik Giesekam, Greg Marsden, Jonathan Norman, Tadj Oreszczyn, Paul Ruyssevelt, and Kate Scott (August 2022). "Energy demand reduction options for meeting national zero-emission targets in the United Kingdom". Nature Energy. 7: 726–735. ISSN 2058-7546. doi:10.1038/s41560-022-01057-y.  Creative Commons CC‑BY‑4.0.
  

The UK TIMES (UKTM) model was central.  With the following sub‑models used alongside bespoke numerics also (the open status of these modules was not traversed, although the TIMES Model Generator is under GPLv3+):

• mobility: TEAM-UK (Transport Energy Air pollution Model for the UK)

• nutrition and agriculture: UK MRIO (multi-regional input-output)

• built environment: UK NHM (UK National Housing Model) and Shelter national household model

Electricity‑using appliances were included and modeled by Rachel Carr‑Whitworth, according to the credits at the end of the paper — although no further details were given, as best I could see.

The article presents the underpinning framework as being "replicable for other countries" but if the source is not available and suitably licensed, then adoption elsewhere will certainly be hindered.

with best wishes, Robbie

Robbie Morrison
Address: Schillerstrasse 85, 10627 Berlin, Germany
Phone: +49.30.612-87617

[Cruz Enrique Borges Hernandez]

HI Matteo

You have also Load Profile Generator [1] and HiSim [2]. You can follow up the development of these at the WHY project webpage [3] as there would be several updates during the year.

[1] https://github.com/FZJ-IEK3-VSA/LoadProfileGenerator

[2] https://github.com/FZJ-IEK3-VSA/HiSim

[3] https://www.why-h2020.eu/

Best regards,

cruz

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Cruz E. Borges, PhD
Researcher / DeustoTech

Faculty of Engineering, University of Deusto
Avda. Universidades 24. 48007 Bilbao (Spain)
Tel. +34 94 413 90 03 Ext. 2052

cruz....@deusto.es

[Barsanti Matteo]

Hi Matteo,

 

Another option is demod.

It currently implements an occupancy-based simulation approach to generate profiles of domestic occupancy, activity, thermal and electrical demand with high temporal resolution. Documentation is available in [1] and the GitHub repository can be accessed in [2].

 

We also plan to release new features soon, including activity-based simulation and electric mobility.

 

demod can be used independently or coupled with other models (e.g., distribution grid) through co-simulation approaches (see example in [3]).

 

[1] https://demod.readthedocs.io/en/latest/overview/index.html

[2] https://github.com/epfl-herus/demod

[3] https://energyinformatics.springeropen.com/articles/10.1186/s42162-021-00180-6

 

Best,

Matteo

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To view this discussion on the web, visit https://groups.google.com/d/msgid/openmod-initiative/CAM_H%3DnD%3DnSBo7dhE4qSz18_GvxCe0JnX0xkEAt-gR%3DrxYG1z1g%40mail.gmail.com.

[Robbie Morrison]

Hi again Matteo

This might also be of interest:

• Ruhnau, Oliver and Jarusch Muessel. (2022). Update and extension of the When2Heat dataset — Working paper. Kiel and Hamburg, Germany: ZBW – Leibniz Information Centre for Economics.

• alternative URL: http://hdl.handle.net/10419/249997
• "the 'When2Heat' dataset comprises synthetic national time series for heat demand and heat pumps' coefficient of performance (COP) in hourly resolution"

Robbie

On 13/03/2023 08.59, 'Barsanti Matteo' via openmod initiative wrote:

Hi Matteo,

<snip>

-- 
Robbie Morrison
Address: Schillerstrasse 85, 10627 Berlin, Germany
Phone: +49.30.612-87617

[Robbie Morrison]

Hi yet again Matteo

Did you note LoadProfileGenerator, more here:

• https://forum.openmod.org/t/vienna-2023-workshop-four-minute-lightning-talks/3622/13
• http://loadprofilegenerator.de
• https://github.com/loadprofilegenerator/LoadProfileGenerator (prior repo)
  
• https://github.com/FZJ-IEK3-VSA/LoadProfileGenerator (current repo)
  
• MIT license
• Linux now supported
  
• written in C#, a compiled language
  

To be discussed at the upcoming Vienna openmod meeting also.

cheers, Robbie

[Robbie Morrison]

Hi yet again Matteo

This for completeness: OnStove models residential cooking options in the global south:

• https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove
• MIT license
  

• Khavari, Babak, Camilo Ramirez, Marc Jeuland and Francesco Fuso Nerini (12 January 2023). "A geospatial approach to understanding clean cooking challenges in sub-Saharan Africa". Nature Sustainability. 1–11. ISSN 2398-9629. doi:10.1038/s41893-022-01039-8.

Robbie

[Matteo De Felice]

Dear all,

I forgot to thank you for the very interesting links you have shared!

[Robbie Morrison]

Hi all

Just added some very recent work to this thread for completeness, namely the LUT‑DEMAND model from Finland:

• Keiner, Dominik, Ashish Gulagi, and Christian Breyer (13 March 2023). LUT-DEMAND: A pre‑processing macro-economic energy demand modelling tool for energy system transition analyses. Zenodo. doi:10.5281/zenodo.7189336.

• Keiner, Dominik, Ashish Gulagi, and Christian Breyer (1 June 2023). "Energy demand estimation using a pre-processing macro-economic modelling tool for 21st century transition analyses". Energy. 272: 127199. ISSN 0360-5442. doi:10.1016/j.energy.2023.127199.

I could not find a public code repo or software licensing details.  But I understand the Finish research group is working towards open sourcing.  Perhaps someone on this list knows more?

with best wishes, Robbie

On 25/03/2023 00.01, Matteo De Felice wrote:

Dear all,

I forgot to thank you for the very interesting links you have shared!