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Driven by the "dual-carbon" goals, China's aquacultureAquaculture systems urgently need to transform towards low energy consumption and low carbon emissions. From the perspective of optimizing aquacultureAquaculture systems, this study utilizes the two-stage stochastic programming method to develop a low-carbonLow-carbon recirculating aquacultureAquaculture system planning model. It explores the low-carbonLow-carbon development path of the aquacultureAquaculture industry under the influence of stochastic uncertainties, providing scientific and technological support for decision-makers to formulate relevant plans and policies. Taking Fujian Province as the research area, this study verifies the model by comparing the actual aquacultureAquaculture data with the model's prediction results, and deeply analyzes its performance in terms of accuracy and reliability. Additionally, it summarizes the potential problems that may occur in the practical application of the optimized low-carbonLow-carbon recirculating aquacultureAquaculture system planning model, and then puts forward targeted decision-making suggestions to address these issues. This study has the following findings: To achieve the dual carbon goals and maximize economic benefits, the aquacultureAquaculture industry in Fujian Province should (i) gradually replace traditional feed with low-carbonLow-carbon feed such as microalgae; (ii) extensively utilize wind and solar resources for energy supply to aquacultureAquaculture equipment.

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Development of a Two-Stage Stochastic Low-Carbon Recirculating Aquaculture System Planning Model

  • 会议论文

  • 发表日期：

    2026年

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  • Xiao Li,
  • Jiawei Li,
  • Yi Jin,
  • Shubo Xu

摘要

Driven by the "dual-carbon" goals, China's aquacultureAquaculture systems urgently need to transform towards low energy consumption and low carbon emissions. From the perspective of optimizing aquacultureAquaculture systems, this study utilizes the two-stage stochastic programming method to develop a low-carbonLow-carbon recirculating aquacultureAquaculture system planning model. It explores the low-carbonLow-carbon development path of the aquacultureAquaculture industry under the influence of stochastic uncertainties, providing scientific and technological support for decision-makers to formulate relevant plans and policies. Taking Fujian Province as the research area, this study verifies the model by comparing the actual aquacultureAquaculture data with the model's prediction results, and deeply analyzes its performance in terms of accuracy and reliability. Additionally, it summarizes the potential problems that may occur in the practical application of the optimized low-carbonLow-carbon recirculating aquacultureAquaculture system planning model, and then puts forward targeted decision-making suggestions to address these issues. This study has the following findings: To achieve the dual carbon goals and maximize economic benefits, the aquacultureAquaculture industry in Fujian Province should (i) gradually replace traditional feed with low-carbonLow-carbon feed such as microalgae; (ii) extensively utilize wind and solar resources for energy supply to aquacultureAquaculture equipment.