TEMPO — Tool for Energy Model Planning and Optimization

Desktop and web application for building, running, and visualizing Calliope energy system models. Built with React + Go + Python + Electron at TH Deggendorf.

Just want the app? Download the installer from the project website or directly from GitHub Releases:

• Windows → TEMPO-Setup-x.x.x.exe
• Linux → TEMPO-x.x.x.AppImage

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What it does

• Build multi-node energy system models visually on a map (MapLibre GL / Deck.gl)
• Configure technologies from a built-in library (renewable, conventional, storage, H₂, CCS)
• Run Calliope optimizations and stream solver logs in real time
• Import locations/links from CSV; export full models as Calliope YAML or ZIP
• Optionally load pre-processed OSM power infrastructure via GeoServer (PostGIS)

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Installation (development)

Prerequisites: Node.js ≥ 16, Go ≥ 1.21, Python ≥ 3.9

1. Frontend

npm install
npm run dev          # → http://localhost:5173

2. Go backend

cd backend-go
go run .             # → http://localhost:8082

3. Calliope runner service

# Option A – local
uvicorn python.calliope_service:app --host 0.0.0.0 --port 5000

# Option B – Docker
docker compose up calliope-runner

4. Desktop (Electron)

npm run dev:electron     # starts Vite + Electron together

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Building a release

npm run dist            # Windows  → release/TEMPO-Setup-x.x.x.exe
npm run dist:linux       # Linux    → release/TEMPO-x.x.x.AppImage
npm run dist:all         # both

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GeoServer (optional)

Provides cached OSM power infrastructure layers. Without it, the app falls back to the Overpass API automatically.

# Start containers (PostGIS + GeoServer)
.\scripts\setup_geoserver_docker.ps1

# Load a region
.\scripts\setup_geoserver_docker.ps1 -LoadRegion "Europe/Germany/Bayern"

GeoServer web UI: http://localhost:8080/geoserver/web (admin / geoserver)

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Stack

Layer	Technology
Frontend	React 19, Vite, Tailwind CSS, MapLibre GL, Deck.gl
Backend	Go + Gin, SQLite (port 8082)
Runner	Python 3, FastAPI, Calliope 0.7 (port 5000)
Desktop	Electron + electron-builder
Map data	OpenStreetMap via GeoServer/PostGIS or Overpass API

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Links

• Project website & download: https://github.com/THD-Spatial-AI/TEMPO
• Documentation: docs/ (run mkdocs serve to browse locally)
• Architecture: documentation/ (arc42 LaTeX)
• Full setup guide for a new machine: SETUP_NEW_COMPUTER.md
• Contact: tempo@th-deg.de