Motion characteristics of a modularized floating solar farm in waves

Author:

Wei Yujia1,Zou Detai12,Zhang Deqing3ORCID,Zhang Chao2,Ou Binjian1,Riyadi Soegeng4,Utama I. K. A. P.5ORCID,Hetharia Wolter6ORCID,Wood Tim7,Huang Luofeng1ORCID

Affiliation:

1. School of Water, Energy and Environment, Cranfield University 1 , Cranfield MK43 0AL, United Kingdom

2. Department of Mechanical Engineering, Jiangsu University 2 , Zhenjiang 212013, China

3. College of Engineering, Ocean University of China 3 , Qingdao 266100, China

4. PT Orela Shipyard 4 , Jl Raya Ngemboh RT2RW1, Kab.Gresik 61154, Indonesia

5. Department of Naval Architecture, Institut Teknologi Sepuluh Nopember 5 , Surabaya 60111, Indonesia

6. Department of Naval Architecture, University of Pattimura 6 , Ambon 97223, Indonesia

7. Achelous Energy Limited 7 , Unit 2 Black Robins Farm, Edenbridge TN8 6QP, United Kingdom

Abstract

Modularized floating solar farms exhibit the potential to replace conventional steel-frame ones, effectively remedying hydroelastic issues of a very large floating structure through discrete modules with mechanical connections. However, the response of the discrete modules under cyclic wave loading has not been fully understood. This paper assesses the motion characteristics and expansibility of modularized floaters in waves, based on computational results from fluid–structural interaction simulations. A crucial factor, denoted as the ratio of frame length to wavelength R=Ls/λ, is determined to predict the motions of a large floating solar system in head waves. Results indicate that the motion characteristics is predictable based on the R value. The empirical relationship between the R value and the motion of every unit in an array is analyzed. In particular, the results calculated from using the multiple-rigid-bodies method are also compared with those from using the single-large-hydroelastic-body method, and it was found that these two results are similar when R > 1. This similarity allows for predicting the multi-hinged bodies' behavior in waves through a simplified hydroelastic approach. Overall, this study reports insights that are useful for the design and optimization of modularized solar farms and can help address cyclic loading and motion concerns for long-term durability.

Funder

Innovate UK

Publisher

AIP Publishing

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