Aquaculture

This repository contains an "optimal design of offshore aquaculture with co-located wave energy and energy storage", simulated through Python.

File Structure

This repository consists of the following files:

• modules: scripts and functions to define "Wave-powered Aquaculture" optimization problem.
• objects: scripts and functions to define aquaculture, wave energy converter, and energy storage objects and their parameters.
• optimization: scripts and functions to perform a single objective optimization, and multi-objective optimization.
• wpaf_opt: top-level script to perform the "WPAF" optimization code and set the required input files.
• run_sim_soo_wpaf: top-level script to run the single objective optimization.
• run_sim_moo_wpaf: top-level script to run the multi-objective optimization.
• run_sim_soo_wpaf_random_init: top-level script to run the single objective optimization with random initial points for the design variables to check the optimization convergence.
• sensitivity_analysis: script to perform sensitivity analysis of the objective to the design variables.
• utilities: script to print and draw figures.
• requirements.txt: list of the required libraries.

How to use

• In order to run the single objective optimization code and find the optimal design for a wave-powered aquaculture farm (WPAF), you can open and run the run_sim_soo_wpaf (.ipynb) file.
• In order to run the single objective optimization code with random initial points for the design variables and check the convergence of the optimization, you can open and run the run_sim_soo_wpaf_random_init (.ipynb) file.
• In order to run the multi-objective optimization code and find the optimal design for a wave-powered aquaculture farm (WPAF), you can open and run the run_sim_moo_wpaf (.ipynb) file.
• In order to run the sensitivity analysis and find the sensitivity of the objective function to the design variables, you can open and run the sensitivity_analysis (.ipynb) file.

Dependencies

Python 3.8.8 is used to develop this package. For other required libraries, please refer to requirements.txt file.

Context

The project is part of research in the Symbiotic Engineering Analysis (SEA) Lab and will be submitted to the Renewbale Energy.

Citation

Hasankhani, A., McCabe, R., Ewig, G., Won, E. T., & Haji, M. N. (2023, June). Conceptual design and optimization of a wave-powered offshore aquaculture farm. In The 33rd International Ocean and Polar Engineering Conference. OnePetro.

Authors

• Arezoo Hasankhani, ah844@cornell.edu (Point of contact)
• Eugene Thome Won, etw36@cornell.edu
• Maha Haji, maha@cornell.edu

Funding Acknowledgement

This material is based upon work supported by the Sea Grant Regional Research Project No.: R/ATD-18-NESG.

License

This project is released open-source under the MIT License. Processed GIS data included in the repository is from publicly available sources, but may have different license terms.