Energy / BROWSER DEMO
HelioForge Energy Lab
HelioForge is an energy-learning workbench for exploring hybrid-system designs and scenario assumptions. Its standalone preview shows bundled examples; new calculations require the local Python application.
Free to explore · No sign-in · Demonstration data

EXPLORE
What you can try
- Browse hybrid-energy architectures and inspect their labeled system layouts.
- Read architecture-linked lessons with experiment steps and self-check questions.
- Review bundled scenario examples and compare visible energy assumptions and outcomes.
START HERE
Try it in three steps
- Choose an architecture and inspect its components and stated assumptions.
- Open a linked lesson and follow its experiment prompts and self-check.
- Review a bundled scenario result and compare its energy and cost measures.
CONTEXT & LIMITS
Know what the demo shows
- The standalone browser preview uses bundled examples and does not run new Python calculations or optimization.
- New numerical runs require the separate local Python API and its setup.
- Models are educational research screens, not calibrated plant controls, forecasts, or investment advice.
Use fictional information when trying inputs. The browser edition has no live service, account, payment, dispatch, or external AI integration. Any local saves belong to this browser and device.
COMMON QUESTIONS
Before you explore
Can the standalone preview calculate a new scenario?
No. It displays the interface and bundled examples; run the separate local Python app for new calculations.
Are the model results operational guidance?
No. They are bounded research and learning examples with explicit assumptions, not a plant controller or calibrated digital twin.
Release information
Maintained by Mohammad Rezwan Khan. Browser release updated . This page describes the shipped browser demo; it is not a claim of professional or production validation.
Machine-readable app facts · Plain-text overview · Dependency & content notices · Source & methodology ↗
Source revision e2358a18d041 · Runtime SHA-256 d0000ff5eae23f08