VerveStacks — Open‑Use Energy Modeling

Energy system modeling — reimagined for use.

Most modeling projects begin by building the model. VerveStacks begins where others stop — with ready‑to‑use, decision‑grade power‑sector models you can explore immediately. We call this open‑use: models and assumptions are open to use, inspect, and question; pipelines may remain managed so quality can scale. The emphasis is on results and interpretation, not on forcing every user to become a model builder.

Open‑Use Vision

  • Lower the skill barrier to entry. Proprietary tools have licensing barriers and open-source tools have high skill barriers. Open-use aims to lower both barriers by making the full modeling value chain available to all. Lowering the skill barrier is a pre-requisite for making any system truly impactful.

  • Liberate the models. We separate the craft of building pipelines and models from the skill of using models. The latter is where decisions live. VerveStacks exists to create a new class of modelers — expert users who ask better questions, run scenarios fast, and interpret results with confidence - all without having to build the model. Model builders do not have the best context for the application of the model. They have been monopolizing model interpretation only because models have been designed for self-use.

  • Liberate the user. Many domain experts are too deep in reality to spend months building infrastructure just to test a question. VerveStacks brings them in — policymakers, consultants, researchers, analysts, and teachers who want trustworthy, transparent models they can run today.

  • Managed complexity. Proprietary tools hide complexity; open‑source can expose it raw. VerveStacks makes complexity usable — transparent data, explicit methods, and practical defaults that travel well across contexts. Any part of the model can be modified or enhanced without having to build the whole system from scratch.

By the Numbers

  • 100+ countries: Ready-to-use models available immediately

  • 5 minutes: From country selection to running scenarios

  • 8760 hours: Native hourly resolution with intelligent aggregation

  • 50×50km: Spatial resolution for renewable resource modeling

  • 6+ datasets: Integrated global energy data (IRENA, EMBER, GEM, REZoning, Atlite, AR6)

  • Free access: Complete modeling value chain at no cost

What you get (the offering)

  • Model Library: high‑resolution, per‑ISO power‑sector models with transparent assumptions, versioned model documentation, and known‑gap notes.

  • Immediate exploration in Veda Online (VO): run scenarios, compare results, and share insight without setup.

  • Scenario templates: sensible defaults for common analyses (policy toggles, cost sensitivities, demand variants, climate categories).

  • Interoperable exports: artifacts for TIMES, OSeMOSYS, PyPSA, LEAP; plus CSV/Excel for audit and reporting.

  • Methods & data transparency: clear documentation of time‑slice design, renewable gap‑filling, storage/adequacy treatment, retrofit logic, transmission/REZ mapping, data sources, and calibration.

Technical Excellence

  • Stress-based timeslice design: Automated identification of critical operational periods

  • Multi-resolution spatial clustering: Demand regions, generation clusters, renewable zones

  • Geographic realism: Transmission connections based on actual spatial overlaps

  • Conservative resource assessment: Land-use constraints applied to renewable potentials

  • Complete data lineage: Every parameter traceable to source with transformation logic

Expectations & ethos

  • A new class of modelers: We expect many users who never touched ESOMs to become model users — “story‑builders” who shape scenarios and interpret trade‑offs without becoming pipeline engineers.

  • Versioned, decision‑grade artifacts: every release is pinned, cited, and never overwritten.

  • Open improvement loop: challenge our assumptions; propose better ones; we’ll regenerate and version results. Quality grows through use.

Experience the Revolution

Under the Hood