Multi-body modeling for conceptual design of co-located ocean renewable energy and aquaculture systems

by Lee, Yong Hoon and Guan, Yue

Abstract:

This study presents a multi-body dynamic modeling approach for exploring and optimizing the novel co-location design of ocean-based renewable energy systems and aquaculture fishery systems. As both systems expand offshore to meet global energy and food demands, competition for limited oceanic space has become a growing concern. The co-location of these two distinctive systems offers a solution to this challenge by combining them in overlapping geographical locations while addressing their respective objectives and constraints. The study introduces a conceptual design configuration that integrates floating offshore wind turbines with a fish production aquaculture system, effectively maximizing the use of available space. A multidisciplinary design optimization technique is employed to simultaneously solve hydrostatic and hydrodynamic properties, wave forcing terms, multi-body dynamic system equations, and the optimization problem. The study primarily aims to provide a comprehensive approach that offers a problem solution framework, valuable insights from the design solutions, and guidance for future development of various architectures and configurations of co-located ocean renewable energy and aquaculture systems. By addressing the challenges of co-location at the conceptual design stage with a systematic optimization framework, the study hopes to contribute to the optimal use of the ocean environment. Furthermore, the methodology presented in this study will inspire the application of multi-body dynamics for integrating heterogeneous systems across other disciplinary domains.

Reference:

Yong Hoon Lee, Yue Guan, "Multi-body modeling for conceptual design of co-located ocean renewable energy and aquaculture systems", in ASME IDETC/CIE Conference, DETC2023-117954, Boston, MA, USA, August 2023, pp. 1-4 (Extended Abstract).

Bibtex Entry:

@presentation{Lee2023IDETC,
    author = "Lee, Yong Hoon and Guan, Yue",
    title = "Multi-body modeling for conceptual design of co-located ocean renewable energy and aquaculture systems",
    booktitle = "ASME IDETC/CIE Conference",
    address = "Boston, MA, USA",
    year = "2023",
    month = aug,
    number = "DETC2023-117954",
    pages = "1-4",
    pdf = "https://yonghoonlee.com/wp-content/uploads/2023/11/Lee_2023_ExtendedAbstract_MSNDC23_Colocation.pdf",
%    doi = "",
%    gsid = "",
    comment = "Extended Abstract",
    abstract = "This study presents a multi-body dynamic modeling approach for exploring and optimizing the novel co-location design of ocean-based renewable energy systems and aquaculture fishery systems. As both systems expand offshore to meet global energy and food demands, competition for limited oceanic space has become a growing concern. The co-location of these two distinctive systems offers a solution to this challenge by combining them in overlapping geographical locations while addressing their respective objectives and constraints. The study introduces a conceptual design configuration that integrates floating offshore wind turbines with a fish production aquaculture system, effectively maximizing the use of available space. A multidisciplinary design optimization technique is employed to simultaneously solve hydrostatic and hydrodynamic properties, wave forcing terms, multi-body dynamic system equations, and the optimization problem. The study primarily aims to provide a comprehensive approach that offers a problem solution framework, valuable insights from the design solutions, and guidance for future development of various architectures and configurations of co-located ocean renewable energy and aquaculture systems. By addressing the challenges of co-location at the conceptual design stage with a systematic optimization framework, the study hopes to contribute to the optimal use of the ocean environment. Furthermore, the methodology presented in this study will inspire the application of multi-body dynamics for integrating heterogeneous systems across other disciplinary domains.",
}