Presentation Information
[5Yin-A-42]Operation Optimization of Renewable Energy Aquaculture based on the Grey Wolf Optimizer
〇Junchao Cheng1, Kazunori Mizuno1 (1. Takushoku University)
Keywords:
Grey Wolf Algorithm,Optimization,Renewable energy,Aquaculture
Climate change and the energy crisis are issues that humanity must deal with. Current themes of global development include reducing carbon emissions and promoting the widespread use of clean and renewable energy. Due to heavy dependence on fossil fuels in aquaculture, aquaculture needs to switch to clean and renewable energy to reduce carbon emissions and achieve sustainable, pollution-free and healthful development. In this study, an aquaculture model that incorporates renewable energy sources, including solar, wind, and fuel cells, has been built. The composition of the system is optimized under conditions of 0%, 20%, and 40% power supply from the main grid using the Grey Wolf algorithm, with supply and demand balance as the optimization objective. Finally, economic efficiency and environmental friendliness will be used as indicators to evaluate the model.