# HeatBee: Surrogate Modeling of High-Mass Vernacular Architecture in Arid Climates [![EnergyPlus](https://img.shields.io/badge/EnergyPlus-26.2.0-blue.svg)](https://energyplus.net/) [![Python](https://img.shields.io/badge/Python-3.13-green.svg)](https://www.python.org/) [![Model](https://img.shields.io/badge/Surrogate-XGBoost_GBDT-orange.svg)](https://xgboost.readthedocs.io/) [![License](https://img.shields.io/badge/License-MIT-purple.svg)](LICENSE) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.23145635.svg)](https://doi.org/10.5281/zenodo.23145635) HeatBee is an open-source building performance simulation pipeline and Machine Learning surrogate model investigating the transient thermodynamic behavior of vernacular rammed earth (*pisé*) architecture versus contemporary construction in **Marrakesh, Morocco (Zone Climatique 5)**. --- ## 🎯 Key Physical Findings Simulations were performed under the peak summer period of the Marrakesh Menara Airport EPW (peak outdoor dry-bulb: **45.52°C**). ### 1. The Typology Comparison: Interior Mass vs. Envelope Insulation * **As-Built Typology (Mode A):** A 50 cm pisé room (with earth partitions and floor) maintains a peak operative temperature of **30.63°C** and **20.3 Discomfort Degree Hours (>30°C)**, compared to **31.48°C** and **81.1 DDH** for an RTCM Zone 5 modern room (20 cm hollow brick with 4 cm XPS insulation and 15 cm concrete slabs). * **Shared Interior Mass (Mode B):** When both rooms are modeled with identical 15 cm concrete slab floors and partitions, the result equalizes: the RTCM-insulated room reaches **31.48°C** (81.1 DDH), while the pisé room reaches **31.76°C** (165.8 DDH). * **Takeaway:** The vernacular advantage is driven primarily by **interior volumetric thermal mass** coupled with nocturnal free cooling, rather than the exterior earth wall possessing superior steady-state thermal resistance over continuous code insulation. ### 2. Component Apportionment (Wall vs. Roof) Holding interior mass constant (15 cm concrete partitions for all), component swapping reveals: * **The 50 cm pisé exterior wall outperforms the RTCM insulated wall by 0.16°C** (31.32°C vs 31.48°C peak), as extreme thermal inertia suppresses peak daytime flux. * **The traditional mud/timber roof is the primary thermal vulnerability**, admitting **+0.50°C** of excess heat compared to the RTCM-insulated roof (31.98°C vs 31.48°C). ### 3. Realistic Ground-Coupled Boundary * Under an adiabatic floor assumption (isolated upper-floor room), the pisé room peaks at **30.63°C**. * Under realistic summer ground coupling (Kusuda $24.0^\circ\text{C}$–$25.0^\circ\text{C}$ subsoil), downward heat dissipation drops the pisé room peak to **29.61°C**, bringing it completely below the 30.0°C adaptive comfort limit during a 45.5°C heatwave. ### 4. Thermal Mass and Ventilation Sweeps * **Mass Diminishing Returns:** Increasing pisé thickness from 15 cm to 45 cm reduces peak temperatures by **2.40°C**, whereas adding another 30 cm (to 75 cm) yields only **0.71°C** of marginal cooling. This aligns with the 1D periodic thermal penetration depth: $$\delta = \sqrt{\frac{k}{\rho c_p} \frac{P}{\pi}} \approx 11\text{ cm}$$ Beyond $4\delta \approx 44\text{ cm}$, the diurnal thermal wave is attenuated by ~98%. * **Nocturnal Ventilation:** Increasing airflow from 0 to 4 ACH drops peak temperatures by **1.46°C**, but tripling airflow from 4 to 12 ACH yields only **0.51°C** of additional relief as indoor air approaches ambient night temperature. --- ## 🔬 Benchmark Comparison (July–August Peak Heatwave) *Shared boundary conditions: Roof albedo 0.60, external wall solar absorptance 0.50, glazing SHGC 0.40, 4.0 ACH free cooling, adiabatic perimeter.* | Archetype | Peak Temp [°C] | Mean Temp [°C] | DDH (>30°C) | Decrement ($f$) | | :--- | :--- | :--- | :--- | :--- | | **Ambient Outdoor (Menara EPW)** | **45.52** | 29.67 | 3642.2 | 1.00 | | **Modern Uninsulated (20cm Hollow Brick, Brick Floor)** | **35.21** | 28.68 | 740.1 | 0.34 | | **Modern RTCM Zone 5 (4cm XPS, 15cm Concrete Slab)** | **31.48** | **28.14** | 81.1 | **0.12** | | **Vernacular Medina Riad (50cm Pisé, Pisé Floor)** | **30.63** | 28.24 | **20.3** | 0.14 | | *Riad with Concrete Slab Floor (Mode B)* | *31.76* | *28.45* | *165.8* | *0.13* | --- ## ⚡ Machine Learning Surrogate Fidelity * **Model:** Gradient Boosted Decision Trees (`XGBoostRegressor`) * **Training Dataset:** 256 Latin Hypercube samples evaluated via EnergyPlus 26.2 `ConductionFiniteDifference` * **5-Fold Cross Validation:** $R^2 = 0.9450$ | $\text{RMSE} = 0.358^\circ\text{C}$ | $\text{MAE} = 0.275^\circ\text{C}$ (Spread $\sigma = 1.53^\circ\text{C}$) * **Out-of-Sample Holdout (N=32 Unseen Runs, Seed 999):** $\text{RMSE} = 0.316^\circ\text{C}$ | $\text{MAE} = 0.262^\circ\text{C}$ * **Inference Latency:** $< 1\text{ ms}$ on CPU --- ## ⚠️ Limitations 1. **Single-Zone Idealization:** The model represents an isolated single-room perimeter zone facing an exterior aperture, not a fully coupled 3D computational fluid dynamics (CFD) courtyard void. 2. **Simplified Infiltration & Internal Loads:** Constant occupancy sensible gains (2 people, 240 W) without dynamic appliance scheduling or variable occupant window operation. 3. **No Sensor Calibration:** This is a numerical comparative simulation; boundary conditions have not yet been calibrated against empirical data-logger measurements from historic medina structures. --- ## 🚀 Quickstart ```bash # 1. Clone repository git clone https://github.com//HeatBee.git cd HeatBee # 2. Install dependencies pip install -r requirements.txt # 3. Run verified benchmark, sweeps, and holdout validation python cli.py --benchmark python cli.py --sweeps python cli.py --holdout # 4. Launch interactive dashboard streamlit run app.py ``` --- ## 📄 Citation & License MIT License. If citing this software or dataset: ```bibtex @software{heatbee2026, author = {Haytam Aarab}, title = {HeatBee: Surrogate Modeling of High-Mass Vernacular Architecture in Arid Climates}, year = {2026}, publisher = {Zenodo}, doi = {10.5281/zenodo.23145635} } ```