🔥 Jensen-TDP

Cooling Performance Estimation of A public-figure-inspired outfit

🎯 Project Goal

In short: Why is Jensen cool?

This project applies rigorous thermal engineering principles to analyze the passive heat dissipation performance of an iconic tech executive outfit. We model the human body as a 100W "android" and ask the critical question: Does this famous ensemble risk thermal throttling under sustained operation?

📊 The Answer

Spoiler: It depends on the temperature!

• ❄️ 18°C Environment: 116.7W dissipation → PASS ✅
• 🌡️ 26°C Environment: 56.5W dissipation → FAIL ❌ (43.5W deficit)

The outfit performs surprisingly well in cooler conditions but suffers significant thermal bottlenecks at typical room temperature.

🔗 Full Analysis & Results

🎮 Interactive Demo

Try the live demo to explore different scenarios and see how environmental conditions dramatically affect thermal performance:

🚀 Launch Interactive Demo

💻 Running Locally

Quick Start

# Clone the repository
git clone https://github.com/NewJerseyStyle/Jensen-TDP.git
cd Jensen-TDP

# Install dependencies
pip install gradio plotly numpy pandas

# Run the interactive UI
python ui.py

Python REPL usage

from thermal_model import ThermalModel

model = ThermalModel()
results = model.calculate_cooling_performance(T_ambient=26.0)
print(f"Heat dissipation: {results.total_heat_dissipation:.1f}W")

🔬 Technical Approach

The model implements a full-body thermal resistance network:

• Upper Body: 3-zone parallel model (open front, loose fit, tight fit)
• Lower Body: Single-zone model with denim and air gaps
• Heat Transfer: Conduction + convection analysis with real material properties