Dragonfly

Dragonfly enables the creation of district-scale models for energy simulation with URBANopt, electrical electrical infrastructure simulation with OpenDSS, renewables optimization with REopt, and urban heat island modeling with the Urban Weather Generator (UWG).

What is Dragonfly?


Dragonfly enables the creation of district scale energy models through the use of an abstracted building geometry schema. Dragonfly models can be translated directly into detailed 3D Honeybee models but can also be simulated directly in a variety of engines. Energy simulations of Dragonfly models can be run with the URBANopt SDK, which leverages OpenStudio and EnergyPlus. Energy simulation results can be used to simulate loads on electrical electrical infrastructure with OpenDSS, and can also be incorporated into cost-optimization of renewables with REopt. Lastly, any dragonfly model can be used to morph rural EPW files to account for the urban heat island effect using the Urban Weather Generator (UWG).


Urban District Energy Use
Electrical Grid Loads
Renewables Cost Optimization
Peak Load + Demand Response
Urban Heat Island Modeling
Actual Met Year (AMY) Creation

Urban Energy Use

Simulate annual energy usage across entire urban districts and color geometry with heating and cooling intensity.

District System Load Matching

Understand opportunities for new district thermal systems that capitalize on the simultaneous need for heating and cooling across a district.

Peak Load Modeling

Model peak loads across an entire district to understand the factors driving the need for heating and cooling equipment.

Demand Response

Model demand-response strategies over districts to understand their efficacy in reducing peak loads.

Electric Grid Loading

Model the loading of transformers and power lines to understand impacts of electrification scenarios.

Retrofit Incentive Planning

Model the impact of building retrofits on the need for electrical infrastructure to appropriately set up incentives.

Renewables Optimization

Perform cost-optimizations for investment in photovoltaics and battery storage across a district using the REop Lite engine.

Multiple Creation Pathways

Construct district models from several different source geometries including:

- Detailed floor plans
- Solid building massing
- Building footprints

Fine Tune Exported Level of Detail

By representing stories and repeated geometries using multipliers, the level of detail in the resulting simulation can be tuned to balance accuracy and speed.

Export for Parallelization

Export each building (or each story) to a separate energy model to run energy simulations with a high degree of parallelization.

GeoJSON Integration

Export models to GeoJSON or construct new models starting from GeoJSON geometry.

Urban Heat Island Modeling

Morph EPW files to account for the urban heat island effect using urban geometry and properties.

Actual Meteorologic Year (AMY) Creation

Using publicly available data from the National Climatic Data Center, create EPW files for virtually any recent year for most locations on Earth.

Thermal Satellite Images (Coming Soon)

Visualize publicly available thermal images and understand how temperatures vary over city-scales.