Helios 🌞

A GIS-based solar infrastructure planning tool that identifies the best Green P parking lots in Toronto for solar panel installation — combining solar energy potential with neighbourhood electricity demand.

What it does

• Automatically filters 104 surface Green P lots from Toronto's Open Data
• Calculates solar energy potential based on lot area and Toronto sun data
• Estimates annual revenue, installation cost, and payback period per location
• Scores each location using a weighted formula: 70% solar revenue + 30% neighbourhood demand
• Visualizes all locations on an interactive GIS map with color-coded markers and demand heatmap
• Ranked sidebar listing all 104 locations by energy output
• Click any location to fly to it and view full financial breakdown

Scoring formula

Score = (Revenue × 0.70) + (Demand Score × 10,000 × 0.30)

Revenue = usable_area × panels × sun_hours × electricity_price
Usable area = capacity × 27m² × 0.70
Solar panels: 400W per 2m²
Peak sun hours: 4/day (Toronto average — NRCan)
Electricity price: $0.13/kWh (Ontario average)
Installation cost: $500/m²

Map legend

Color	Meaning
🟢 Green	Excellent — score 300k+
🟠 Orange	Good — score 100k–300k
🔴 Red	Lower priority — score <100k
🔵 Blue heatmap	High electricity demand zone

How to run

1. Install dependencies

pip install -r requirements.txt

2. Process all Green P locations

python3 src/process_greenp.py

3. Calculate scores

python3 src/calculate.py

4. Generate map

python3 src/create_map.py

5. Open map

Open output/map.html in your browser.

Project structure

Helios/
├── data/
│   ├── greenp_all.json        # Raw Toronto Open Data
│   ├── locations_auto.json    # 104 filtered surface lots
│   └── results.json           # Scored and ranked results
├── src/
│   ├── process_greenp.py      # Filters and processes raw data
│   ├── calculate.py           # Scoring algorithm
│   └── create_map.py          # Generates interactive map
├── output/
│   └── map.html               # Final interactive map
└── index.html                 # Landing page

Data sources

• Green P locations: Toronto Open Data
• Solar radiation: Toronto average 4 peak sun hours/day (NRCan)
• Electricity price: Ontario average $0.13/kWh
• Demand zones: 10 high-consumption neighbourhoods identified from Toronto density data

Key results

Metric	Value
Locations analyzed	104 surface Green P lots
Top location	Green P - 2800 Steeles Ave W
Top revenue/year	$1,350,000
Average payback	~13 years
Homes powered (top 6)	8,600+ annually
Land cost	$0 (city-owned)

Team

Santiago Camacho Moyana · Nareen Ibrahim · Dogukan Bakibaba

Seneca Polytechnic Hackathon 2026 — Theme 1: Clean Energy Generation and Integration