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Code to perform case studies for Jasa et al's 2022 Wind Energy Science paper on multifidelity optimization

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Multifidelity paper studies

Code to perform case studies for Jasa et al's 2022 Wind Energy Science paper on multifidelity optimization.

Installation and case running instructions

  1. Install the WEIS framework using the update_multifidelity branch following the instructions listed in its README. This contains the multifidelity trust region method code.
  2. Install FLORIS v. 2.2.4 for case study 3.
  3. Clone this repository to your local machine by running git clone https://github.com/johnjasa/multifidelity_paper_studies.
  4. The code and models to run each of the case studies presented in the paper are within this repo. Each top-level folder contains three run scripts: run_low_fidelity.py, run_high_fidelity.py, and run_multifidelity.py to run the optimization cases presented in the paper.

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Code to perform case studies for Jasa et al's 2022 Wind Energy Science paper on multifidelity optimization

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