Skip to main content

Dragonfly extension for energy simulation.

Project description

Dragonfly

Build Status Coverage Status

Python 3.10 Python 3.7 Python 2.7 IronPython

dragonfly-energy

Dragonfly extension for energy simulation, including integration with the EnergyPlus simulation engine, the OpenStudio SDK, and the URBANopt SDK.

Installation

pip install dragonfly-energy

To check if Dragonfly command line interface is installed correctly use dragonfly-energy --help.

QuickStart

import dragonfly_energy

API Documentation

Usage

Since the building geometry in dragonfly is fundamentally 2D, creating a model of a building and assigning energy model properties can be done with a few lines of code. Here is an example:

from dragonfly.model import Model
from dragonfly.building import Building
from dragonfly.story import Story
from dragonfly.room2d import Room2D
from dragonfly.windowparameter import SimpleWindowRatio
from honeybee_energy.lib.programtypes import office_program

# create the Building object
pts_1 = (Point3D(0, 0, 3), Point3D(0, 10, 3), Point3D(10, 10, 3), Point3D(10, 0, 3))
pts_2 = (Point3D(10, 0, 3), Point3D(10, 10, 3), Point3D(20, 10, 3), Point3D(20, 0, 3))
pts_3 = (Point3D(0, 10, 3), Point3D(0, 20, 3), Point3D(10, 20, 3), Point3D(10, 10, 3))
pts_4 = (Point3D(10, 10, 3), Point3D(10, 20, 3), Point3D(20, 20, 3), Point3D(20, 10, 3))
room2d_1 = Room2D('Office1', Face3D(pts_1), 3)
room2d_2 = Room2D('Office2', Face3D(pts_2), 3)
room2d_3 = Room2D('Office3', Face3D(pts_3), 3)
room2d_4 = Room2D('Office4', Face3D(pts_4), 3)
story = Story('OfficeFloor', [room2d_1, room2d_2, room2d_3, room2d_4])
story.solve_room_2d_adjacency(0.01)
story.set_outdoor_window_parameters(SimpleWindowRatio(0.4))
story.multiplier = 4
building = Building('OfficeBuilding', [story])

# assign energy properties
for room in story.room_2ds:
    room.properties.energy.program_type = office_program
    room.properties.energy.add_default_ideal_air()

# create the Model object
model = Model('NewDevelopment', [building])

Once a Dragonfly Model has been created, it can be converted to a honeybee Model, which can then be converted to IDF format like so:

# create the dragonfly Model object
model = Model('NewDevelopment', [building])

# serialize the dragonfly Model to Honeybee Models and convert them to IDF
hb_models = model.to_honeybee('Building', use_multiplier=False, tolerance=0.01)
idfs = [hb_model.to.idf(hb_model) for hb_model in hb_models]

The dragonfly model can also be serialized to a geoJSON to be simulated with URBANopt.

from ladybug.location import Location

# create the dragonfly Model object
model = Model('NewDevelopment', [building])

# create a location for the geoJSON and write it to a folder
location = Location('Boston', 'MA', 'USA', 42.366151, -71.019357)
sim_folder = './tests/urbanopt_model'
geojson, hb_model_jsons, hb_models = model.to.urbanopt(model, location, folder=sim_folder)

Local Development

  1. Clone this repo locally
git clone git@github.com:ladybug-tools/dragonfly-energy

# or

git clone https://github.com/ladybug-tools/dragonfly-energy
  1. Install dependencies:
cd dragonfly-energy
pip install -r dev-requirements.txt
pip install -r requirements.txt
  1. Run Tests:
python -m pytest tests/
  1. Generate Documentation:
sphinx-apidoc -f -e -d 4 -o ./docs ./dragonfly_energy
sphinx-build -b html ./docs ./docs/_build/docs

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

dragonfly_energy-1.44.11.tar.gz (179.4 kB view details)

Uploaded Source

Built Distribution

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

dragonfly_energy-1.44.11-py3-none-any.whl (203.0 kB view details)

Uploaded Python 3

File details

Details for the file dragonfly_energy-1.44.11.tar.gz.

File metadata

  • Download URL: dragonfly_energy-1.44.11.tar.gz
  • Upload date:
  • Size: 179.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.13

File hashes

Hashes for dragonfly_energy-1.44.11.tar.gz
Algorithm Hash digest
SHA256 62302257cd0752a33061455c9c7a0f4febb9376c76c5dd8c794f4da8de1c98bb
MD5 d415d0865e1b9accd0a874fe216e53fa
BLAKE2b-256 a1c38094330af557d7f7eea915bf51623202dfe3c451ece6d03f5a206c975b9e

See more details on using hashes here.

File details

Details for the file dragonfly_energy-1.44.11-py3-none-any.whl.

File metadata

File hashes

Hashes for dragonfly_energy-1.44.11-py3-none-any.whl
Algorithm Hash digest
SHA256 3a69c7edbaaeaa5ce677437ae91673fd557dfeb95987925f48e60789861a208d
MD5 3e3d403fd34f986820dcf7fe4c1d4912
BLAKE2b-256 896a329bfd779c008293392b860d5d431b3292c3692843bd3a9310f3729d0b8c

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