Skip to main content

Honeybee is a Python library to create, run and visualize the results of daylight (RADIANCE) and energy analysis (EnergyPlus/OpenStudio). The current version supports only Radiance integration.

Project description

![Honeybee](http://www.ladybug.tools/assets/img/honeybee.png)

[![Build Status](https://travis-ci.org/ladybug-tools/honeybee.svg?branch=master)](https://travis-ci.org/ladybug-tools/honeybee)
[![semantic-release](https://img.shields.io/badge/%20%20%F0%9F%93%A6%F0%9F%9A%80-semantic--release-e10079.svg)](https://github.com/semantic-release/semantic-release)
[![Coverage Status](https://coveralls.io/repos/github/ladybug-tools/honeybee/badge.svg)](https://coveralls.io/github/ladybug-tools/honeybee)

[![Python 2.7](https://img.shields.io/badge/python-2.7-green.svg)](https://www.python.org/downloads/release/python-270/) [![IronPython](https://img.shields.io/badge/ironpython-2.7-red.svg)](https://github.com/IronLanguages/ironpython2/releases/tag/ipy-2.7.8/)

# honeybee

Honeybee is a Python library to create, run and visualize the results of daylight ([RADIANCE](https://radiance-online.org//)) and energy analysis ([EnergyPlus](https://energyplus.net/)/[OpenStudio](https://www.openstudio.net/)). The current version supports only Radiance integration. For energy simulation you may use the [legacy honeybee for Grasshopper](https://github.com/mostaphaRoudsari/honeybee).

This repository includes the core library which is the base for Honeybee plugins. For plugin-specific questions and comments refer to [honeybee-grasshopper](https://github.com/ladybug-tools/honeybee-grasshopper) or [honeybee-dynamo](https://github.com/ladybug-tools/honeybee-dynamo) repositories.

Check [this repository](https://github.com/mostaphaRoudsari/honeybee) for the legacy honeybee plugin for Grasshopper.

## Installation

```
pip install lbt-honeybee
```

## Tentative road map
- [x] Basic Radiance Integration.
- [x] Support annual daylight simulation - daylight coefficient method [Nov 2016].
- [x] Support three-phase daylight simulation [Dec 2016].
- [x] Support five-phase daylight simulation [Aug 2017].
- [x] Fix PEP 8 issues [Dec 2017]
- [x] Code documentation [Dec 2017]
- [ ] Provide cloud service support for daylight simulation.
- [ ] Basic EnergyPlus integration.
- [ ] Support basic HVAC modeling.
- [ ] Full OpenStudio integration.


## [API Documentation](http://ladybug-tools.github.io/apidoc/honeybee)

## Citing honeybee

For the daylighting library cite this presentation:

*Sadeghipour Roudsari, Mostapha. Subramaniam, Sarith. 2016. Automating Radiance workflows with Python. The 15th Annual Radiance Workshop. Padua, Italy. Available at: https://www.radiance-online.org/community/workshops/2016-padua/presentations/213-SadeghipourSubramaniam-AutomatingWorkflows.pdf*
`

## Examples
Here is a Python example that shows how to put a grid-based analysis together. For more examples check one of the plugins repository.

```python
from honeybee.room import Room
from honeybee.radiance.material.glass import Glass
from honeybee.radiance.sky.certainIlluminance import CertainIlluminanceLevel
from honeybee.radiance.recipe.pointintime.gridbased import GridBased

# create a test room
room = Room(origin=(0, 0, 3.2), width=4.2, depth=6, height=3.2,
rotation_angle=45)

# add fenestration
# # add a window to the back wall
room.add_fenestration_surface(wall_name='back', width=2, height=2, sill_height=0.7)

# add another window with custom material. This time to the right wall
glass_60 = Glass.by_single_trans_value('tvis_0.6', 0.6)
room.add_fenestration_surface('right', 4, 1.5, 1.2, radiance_material=glass_60)

# run a grid-based analysis for this room
# generate the sky
sky = CertainIlluminanceLevel(illuminance_value=2000)

# generate grid of test points
analysis_grid = room.generate_test_points(grid_size=0.5, height=0.75)

# put the recipe together
rp = GridBased(sky=sky, analysis_grids=(analysis_grid,), simulation_type=0,
hb_objects=(room,))

# write and run the analysis
batch_file = rp.write(target_folder=r'c:\ladybug', project_name='room')
rp.run(batch_file, debug=False)

# results - in this case it will be an analysis grid
result = rp.results()[0]

# print the values for each point
for value in result.combined_value_by_id():
print('illuminance value: %d lux' % value[0])
```


Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

lbt-honeybee-0.1.6.tar.gz (4.0 MB view details)

Uploaded Source

Built Distribution

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

lbt_honeybee-0.1.6-py2.py3-none-any.whl (4.2 MB view details)

Uploaded Python 2Python 3

File details

Details for the file lbt-honeybee-0.1.6.tar.gz.

File metadata

  • Download URL: lbt-honeybee-0.1.6.tar.gz
  • Upload date:
  • Size: 4.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/38.2.4 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.3

File hashes

Hashes for lbt-honeybee-0.1.6.tar.gz
Algorithm Hash digest
SHA256 cceb9174fc2a22aa28a9dc8dc448b20b50281725e790074634b21ff8205831cf
MD5 edeac311c1e79643dfb076893205898c
BLAKE2b-256 d10f5de7fc0a5ded0d19b6952504532c36181a24794f64e0405ab5079d5c765f

See more details on using hashes here.

File details

Details for the file lbt_honeybee-0.1.6-py2.py3-none-any.whl.

File metadata

  • Download URL: lbt_honeybee-0.1.6-py2.py3-none-any.whl
  • Upload date:
  • Size: 4.2 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/38.2.4 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.3

File hashes

Hashes for lbt_honeybee-0.1.6-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 0de6c5187b5bb87ea7253aa8ecdea77e9f9b7335cb2f295cc4b6dedef36def37
MD5 2606b01e8cedf01e8d5da3facaa3c2e7
BLAKE2b-256 1bde94bdf0d62c587fefb285b39d200219e8c7498dac2b2bb295405becce25dd

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