enerhabitat 0.2.1

Thermal simulation of opaque constructive systems (walls and roofs) from EPW data — 1D and 2D

EnerHabitat

EnerHabitat is a Python package for the thermal simulation of opaque constructive systems (walls and roofs) driven by EPW weather data. It solves the time-dependent heat conduction equation across multi-layer systems — in 1D for homogeneous layers (System) and in 2D for units that are heterogeneous across their width, such as concrete hollow-block walls and joist-and-block (vigueta y bovedilla) roofs (System2D) — and produces indoor temperatures and air-conditioning energy demands for an average day of a chosen month.

📖 Documentation

Full documentation lives at https://ener-habitat.github.io/EnerHabitat/:

• Usage — workflow, complete examples (1D/2D, free-running and air-conditioned), configuration and materials.
• Theory — 1D model · 2D model · Numerical method (equations, boundary conditions, convergence, validation).
• API reference.

Overview

EnerHabitat models the heat transfer through opaque constructive systems without windows, ventilation, infiltration or internal heat gains. Each layer is described by a material name and three properties: thermal conductivity k (W/m·K), density rho (kg/m³) and specific heat c (J/kg·K) — supplied by a user materials.ini file (no defaults are bundled).

Given an EPW file and a constructive system, EnerHabitat computes the outdoor (Ta), sun–air (Tsa), indoor (Ti) and neutrality (Tn) temperatures, the solar irradiances (Ig, Ib, Id, Is) and the energy demands over the average day of the selected month.

Theoretical background (summary)

The temperature field in each layer obeys the 1D time-dependent heat conduction equation,

$$ \rho, c_p, \frac{\partial T}{\partial t} = k, \frac{\partial^2 T}{\partial x^2}, $$

with flux continuity at layer joints. At the outdoor surface the boundary condition uses the sun–air temperature, which lumps convection, absorbed solar radiation and the long-wave sky exchange:

$$ T_{sa} = T_a + \frac{a, I_s}{h_o} - RF, $$

with a the solar absorptance, $I_s$ the irradiance on the tilted surface (computed with pvlib) and $RF = 3.9$ °C for roofs (tilt = 0), $0$ for walls. At the indoor surface the system exchanges heat with the indoor air, and two solution modes exist:

• Free-running — solve(): the indoor air is a lumped thermal mass whose temperature Ti evolves freely; the daily energy delivered to it is reported as energy_transfer.
• Air-conditioned — solveAC(): Ti is held at the neutrality temperature of the adaptive comfort model of Humphreys & Nicol, $T_n = 0.54,\overline{T_a} + 13.5$ °C, and the required cooling_energy and heating_energy are reported. (The average-day data also includes the comfort-zone half-width DeltaTn, after Morillón, for comfort analyses.)

For 2D systems, System2D solves the same problem on the unit's cross-section, adding the cavity physics: radiation between the cavity walls and temperature-dependent Nusselt convection with a lumped cavity-air node.

The equations are discretised with implicit finite control volumes and solved with the TDMA; the average day is iterated until the solution is periodic. Full derivations, boundary conditions, convergence criteria and the validation record are in the theory pages.

Installation

pip install enerhabitat

With uv (we love it and warmly encourage its use — fast, reproducible, and our recommended way to install EnerHabitat):

uv add enerhabitat

EnerHabitat requires Python ≥ 3.10. The section inspector plots are an optional extra: pip install enerhabitat[viz].

Quickstart

EnerHabitat ships no materials: create a materials.ini in your working directory (or point eh.config.file to one) before running anything. A minimal file for this example:

[Adobe]
k   = 0.58    # W/m·K
rho = 1500    # kg/m³
c   = 1480    # J/kg·K

import enerhabitat as eh

# 1) Materials file (required — no defaults are bundled)
eh.config.file = "./materials.ini"

# 2) Location from an EPW file
loc = eh.Location("./epw/example.epw")

# 3) Define the constructive system
wall = eh.System(location=loc)
wall.azimuth = 90                    # east-facing
wall.absortance = 0.3
wall.layers = [("Adobe", 0.20)]      # outside → inside

# 4) Average day and solar inputs
loc.meanDay(month=5, year=2025)
wall.Tsa()

# 5) Solve (free-running); Tsa() and solve() share the same time grid,
#    so results concatenate directly.
ti = wall.solve()
print(wall.energy_transfer)          # J/(m²·day)

For a wall with air conditioning, call wall.solveAC() and read wall.cooling_energy / wall.heating_energy.

2D systems

System2D is used exactly like System; its layers list contains exactly one 2D element — a HollowBlock (walls, tilt = 90) or a Slab (joist-and-block roofs, tilt = 0). The materials named below (Concreto, Mortero, Yeso) must also be defined in your materials.ini (see the full example set):

block = eh.HollowBlock(
    material   = "Concreto",
    emissivity = 0.9,
    geometry   = {"web": 0.02, "block_width": 0.16,
                  "cover_top": 0.02, "cavity": 0.08, "cover_bottom": 0.02},
)

wall = eh.System2D(eh.Location("./epw/example.epw"))
wall.tilt = 90
wall.azimuth = 90
wall.absortance = 0.6
wall.layers = [("Mortero", 0.02), block, ("Yeso", 0.01)]
wall.location.meanDay(month=5, year=2025)
wall.Tsa()
ti = wall.solve()

All the examples — the full 1D/2D × free-running/AC matrix, the joist-and-block roof, and the to-scale section inspector — are in the Usage page.

API at a glance

Object	Purpose	Key methods / attributes
Location	Reads an EPW file, builds the average day	meanDay(month, year)
System	1D multilayer wall/roof	layers, Tsa(), solve(), solveAC(), energy_transfer, cooling_energy, heating_energy
System2D	2D heterogeneous wall/roof	same interface as System, plus preview(), section_report(), days
HollowBlock / Slab	The 2D element inside System2D.layers	material(s), fill_type (Fill.AIR/Fill.SOLID), geometry
config	Global parameters	file, La, Nx, ho, hi, dt (fixed)
config2d	2D mesh & convergence	nx, ny, tol_inner, tol_day, max_days

Defaults for ho (13) and hi (8.6 W/m²·K) are the NOM-020/008-ENER values; dt is fixed at 10 s (see why). Full reference: API page.

Dependencies

Direct dependencies: numba and pvlib (numpy, pandas and pytz come with them). Optional: matplotlib via enerhabitat[viz].

How to cite

If you use EnerHabitat in academic work, please cite the reference paper:

Barrios, G., Casas, J.M., Huelsz, G., Rojas, J. (2016). Ener-Habitat: An online numerical tool to evaluate the thermal performance of homogeneous and non-homogeneous envelope walls/roofs. Solar Energy 131, 296–304. https://doi.org/10.1016/j.solener.2015.12.017

@article{Barrios2016,
  author  = {Barrios, G. and Casas, J.M. and Huelsz, G. and Rojas, J.},
  title   = {Ener-Habitat: An online numerical tool to evaluate the thermal
             performance of homogeneous and non-homogeneous envelope walls/roofs},
  journal = {Solar Energy},
  volume  = {131},
  pages   = {296--304},
  year    = {2016},
  doi     = {10.1016/j.solener.2015.12.017}
}

The repository also ships a CITATION.cff (GitHub's Cite this repository button) covering the software itself.

Authors

Developed at the Instituto de Energías Renovables, UNAM.

• Guillermo Barrios del Valle — [e-mail]
• Fernando Rodríguez Calderón — [e-mail]

Source code: https://github.com/Ener-Habitat/EnerHabitat · Issues: https://github.com/Ener-Habitat/EnerHabitat/issues

License

Released under the MIT License.