Skip to main content

Framework for lighting and energy simulations

Project description

frads: Framework for Radiance and EnergyPlus Simulation

Install + Test PyPI Downloads Python

frads is a Python library for building lighting and energy simulation. It provides high-level abstractions over Radiance and EnergyPlus, automating matrix-based annual daylight simulation workflows and enabling Radiance–EnergyPlus co-simulation.

Features

  • Matrix-based daylight simulation — automates 2-phase, 3-phase, and 5-phase Radiance workflows for fast, accurate annual simulations
  • EnergyPlus co-simulation — couples Radiance illuminance calculations with EnergyPlus at each timestep via the EnergyPlus Python API
  • Complex fenestration systems — creates and manages BSDF glazing systems (electrochromic, venetian blinds, fabric shades) using pyWinCalc
  • Dynamic shading control — implements occupancy-based daylight dimming, glare control, and thermal pre-cooling in a single simulation loop
  • Sky and weather — parses EPW/WEA files and generates Perez all-weather and CIE sky models

Installation

pip install frads

All dependencies, including Radiance (via pyradiance) and EnergyPlus (via pyenergyplus_lbnl), are installed automatically.

Quick Start

Run a Radiance three-phase annual simulation:

import frads as fr

cfg = fr.WorkflowConfig.from_dict({
    "settings": {
        "method": "3phase",
        "wea_file": "weather.wea",
    },
    "model": {
        "scene": {"files": ["walls.rad", "floor.rad", "ceiling.rad"]},
        "windows": {"window1": {"file": "window.rad", "matrix_name": "bsdf1"}},
        "materials": {
            "files": ["materials.mat"],
            "matrices": {"bsdf1": {"matrix_file": "window.xml"}},
        },
        "sensors": {"workplane": {"file": "grid.txt"}},
    },
})

workflow = fr.ThreePhaseMethod(cfg)
workflow.generate_matrices()
illuminance = workflow.calculate_sensor(
    sensor="workplane",
    bsdf={"window1": "bsdf1"},
    time=..., dni=800, dhi=100,
)

Run an EnergyPlus simulation with Radiance daylighting:

import frads as fr

epmodel = fr.load_energyplus_model("office.idf")
epmodel.add_glazing_system(
    fr.create_glazing_system("clear", [fr.LayerInput("clear.json")])
)

with fr.EnergyPlusSetup(epmodel, "weather.epw", enable_radiance=True) as eps:
    def controller(state):
        if not eps.api.exchange.api_data_fully_ready(state):
            return
        wpi = eps.calculate_wpi(zone="Zone1", cfs_name={"Window1": "clear"})
        eps.actuate_lighting_power("Zone1_Lights", (1 - min(wpi.mean() / 500, 1)) * 1000)

    eps.set_callback("callback_begin_system_timestep_before_predictor", controller)
    eps.run(annual=True)

Documentation

Full documentation, how-to guides, and API reference are at lbnl-eta.github.io/frads.

Citation

Wang, T., Ward, G., and Lee, E.S. (2021). A Python Library for Radiance Matrix-based Simulation Control and EnergyPlus Integration. Proceedings of Building Simulation 2021, IBPSA, Bruges. PDF

License

Framework for Radiance Simulation Control (frads) Copyright (c) 2019, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.

If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov.

NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit others to do so.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

frads-2.1.16.tar.gz (76.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

frads-2.1.16-py3-none-any.whl (68.8 kB view details)

Uploaded Python 3

File details

Details for the file frads-2.1.16.tar.gz.

File metadata

  • Download URL: frads-2.1.16.tar.gz
  • Upload date:
  • Size: 76.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for frads-2.1.16.tar.gz
Algorithm Hash digest
SHA256 62e25056e3b74b33418ff25ae4293317d69528834903fe8df9b3719c4536fdbd
MD5 77f6b3cc81811273eecb4eec5ed53925
BLAKE2b-256 4646ee747eaa97e951a0d130a84be8d35c7a87ce71a09d6e20d40852c71ea2d5

See more details on using hashes here.

File details

Details for the file frads-2.1.16-py3-none-any.whl.

File metadata

  • Download URL: frads-2.1.16-py3-none-any.whl
  • Upload date:
  • Size: 68.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for frads-2.1.16-py3-none-any.whl
Algorithm Hash digest
SHA256 8b34eb78553d32c7585120f34ce0c10049590896c5de449bb8836c289f57a840
MD5 41238ce3148d5b9eb14cb48ef0d2ae22
BLAKE2b-256 b9763cd1c8ab44235d61101877f99a00082a14659f596a48fa6797a250adb46c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page