Capacity Disaggregation/ Resource Assessment Tools (solar/wind)

Modelling Module design
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Collecting the tools’ / framework names/sources which can -

(1) take in capacity investment numbers and translate to resource locations (for placement of technology assets) with nearest grid node + distance.

OR (2) create resource options (solar/wind) for sub-national level from scratch/without investment numbers.

The purpose is to feed resource options (solar/wind) for capacity expansion/production cost models.

A good example is NREL’s reV. Atlite provides some of the core functionalities to support the workflow.

OR perhaps suggest the minimum viable features (MVPs) to use these tools, including but not limited to data supply chain automation, workflow automation, options for custom land-use filters or comprehensive/report ready visuals (!) etc.

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Hello @elias Maybe some of this material fits your needs:

LENS – Long-term energy scenario model

Helmholtz Energy roadmap report

Literature on modeling to generate alternatives

“The near-optimal region is found to be relatively flat allowing for solutions that are slightly more expensive than the optimum but better in terms of equality, land use, and implementation time.”

reV model from NREL

For completeness, a short promotional video on the NREL work you mentioned:

atlite literature

Specifically about atlite:

And another project offering similar functionality:

  • Andresen, Gorm B, Anders A Søndergaard, and Martin Greiner (15 December 2015). “Validation of Danish wind time series from a new global renewable energy atlas for energy system analysis”. Energy. 93: 1074–1088. ISSN 0360-5442. doi:10.1016/j.energy.2015.09.071. :closed_access:

renewables.ninja

renewables.ninja provides synthetic weather datasets across the planet for wind and solar assessments. Note that the CC‑BY‑NC‑4.0 licensing applied (NC = non‑commercial) is non‑open.

Finally, there must be a role for generative AI in all of this, surely. Have you tried asking ChatGPT? :slightly_smiling_face:

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Systems modeling components

I drew this diagram for a panel discussion a couple of weeks back on 27 September 2024. Perhaps it is also relevant?

energy-system-model-components.02-annot
energy-system-model-components.02-annot3260×1961 889 KB

The points I was trying to communicate:

  • semantic standards (such as the Open Energy Ontology project) inform both the design of the framework software and the processes of data collection and classification — indeed, semantic standards probably deserve more attention by system modelers, especially as cooperation and interoperability move up the agenda

  • the input data divides into actual and speculative and each requires different treatments

  • the machine-readable scenarios are backed by storylines (or narratives as per the Helmholtz Energy report cited earlier), which are in turn underpinned by public interests, which are in turn underpinned by some definition of wider societal values and aspirations

  • the notion of a clean split between code and data (a common mantra in software engineering) does not exist when modeling complex systems under social contexts.

Here is the Inkscape 1.3.2 tarball for those who might want to develop the diagram further:

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Hi @robbie.morrison

Thanks for relevant contents! Yes tried chatgpt well as other LLM’s and some Ai based tools like Perplexity ai. Got nice abstract ideas.

I guess i will check some of the items I got new from your feedback.

I’m probing for a modular open source tool that does similar things that reV does but doesn’t rely on NREL tool’s ecosystem and where user can feed their own filters (if they want) in the lego model.

…loved your diagram!