Sunbird: A Solar Chimney Optimizer

Sunbird is a Grasshopper plugin for solar chimney design optimization built by Qing Feng and Iris Chen, as a final project for Harvard GSD SCI6484 Data Science for Performance-Driven Design. Sunbird provides powerful toolkits for solar chimney building performance simulation and optimization.

Instructions

1. If you don’t have Python installed, install it from here

2. Clone this repository

   $ git clone https://github.com/fengqingthu/Sunbird.git

3. Navigate into the project directory

   $ cd Sunbird

4. Create a new virtual environment

   $ python -m venv venv
   $ . venv/bin/activate

5. Install the requirements

   $ pip install -r requirements.txt

6. Run the app

   $ flask run

7. You should be able to access the APIs using Hops at http://localhost:5000/predict and http://localhost:5000/optimize. See also this example.gh. You will need to use Hops 0.15.0.

Data & Training

Our dataset and training script are also included for your reference in case you want to import your own data.