Energy Portfolio Systems Simulator

A full-roadmap Streamlit prototype for exploring energy portfolio trade-offs, storage behavior, bottlenecks, resilience, actor perspectives, and interconnected infrastructure stress.

This project is designed as a visual systems-understanding layer — not a replacement for scientific grid-optimization frameworks.

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What This App Does

The app lets users explore energy systems through simple, visual interactions:

• choose an energy portfolio
• adjust storage capacities
• apply stress tests
• compare scenarios
• observe bottlenecks
• compare actor perspectives
• simulate energy-water-transport dependencies
• export/import scenarios
• view placeholder adapter outputs for future PyPSA/oemof integration
• switch interface language for cross-cultural cooperation and shared understanding

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Implemented Roadmap

The original future roadmap is now represented inside the app as working prototype modules.

Phase 1 — Visual MVP

Implemented:

• simple scenario controls
• generation sliders
• storage sliders
• stress-test selector
• animated network map
• bottleneck pressure indicators
• trade-off outputs
• basic resilience reading

Phase 2 — Better Visual Behavior

Implemented as simplified visual simulations:

• pulse propagation
• congestion buildup
• storage charge/discharge timeline
• coordination drift
• stress propagation over time

Phase 3 — Scenario System

Implemented:

• scenario presets
• save/export scenario as JSON
• import scenario JSON
• compare scenarios side-by-side
• educational explanation mode

Phase 4 — Actor Perspectives

Implemented:

• government perspective
• grid operator perspective
• industrial sector perspective
• citizen perspective
• investor perspective

Each actor applies different priority weights and interprets the same system differently.

Phase 5 — External Model Integration

Implemented as an adapter-ready interface:

• PyPSA export placeholder
• oemof export placeholder
• standardized scenario schema
• simulated external model result preview
• integration notes

This is not a real PyPSA/oemof backend yet. It creates the interface layer and future integration structure.

Phase 6 — Systems Lab Expansion

Implemented as simplified systems-dependency simulations:

• energy-water dependency
• transport-energy dependency
• industrial demand coupling
• geopolitical dependency map
• resilience/cascade simulation

Language & Cooperation Layer

Implemented:

• sidebar language selector
• English and Hungarian core UI localization
• lightweight German, Portuguese, and Spanish interface support
• language-accessibility tab explaining translation as coordination infrastructure

This supports the idea that shared understanding is part of systems design, especially when technical and non-technical actors must coordinate across cultures, institutions, and roles.

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Run Locally

pip install -r requirements.txt
streamlit run app.py

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Project Positioning

This project complements tools such as PyPSA and oemof.

Those frameworks focus on deep technical optimization.

This app focuses on:

• visual understanding
• scenario exploration
• infrastructure trade-offs
• coordination pressure
• resilience communication
• decision-support visualization
• cross-cultural coordination and language accessibility

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Part of Systems Lab

This project is part of a broader exploration:

→ understanding how systems behave when treated as interconnected.

Main repo:

https://github.com/rasient/systems-lab