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
Try it now: Browse available countries and run your first scenario in 5 minutes
See the science: Explore the methodology behind automated model generation
Join the movement: Learn about Open-Use energy modeling
Get Started (5 minutes)
Explore Models
Under the Hood
- Existing Stock Characterization
- New Technology Characterization
- Renewable Energy Characterization
- Grid Representation
- Grid Modeling Philosophy
- Data Foundation
- Multi-Resolution Clustering Framework
- Demand Allocation to Grid Nodes
- Transmission Line Modeling
- Renewable Energy Integration
- Technology Connection Methodology
- Model Output and Validation
- Technical Implementation
- Integration with Energy System Models
- Real-World Applications
- Conclusion
- Hydro Availability Scenarios
- Stress-Based Timeslice Design
- Methodology Overview
- Stage 1: National Renewable Shape Aggregation
- Stage 2: Clean Supply Construction
- Stage 3: Stress Period Identification
- Stage 4: Intelligent Temporal Aggregation
- Validation and Visualization
- Methodology in Action: USA Case Study
- Contrasting Energy Landscapes: China Case Study
- Key Contrasts: USA vs China
- Demands and Prices
Platform & Integration
Advanced Usage
Community & Support
Reference