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Assessment of uncertain alternatives for co-located aquaculture and offshore wind farm in Tasmania

Villalba, JF, Abdussamie, N ORCID: 0000-0002-8628-562X, Aryai, V, Nikolova, N ORCID: 0000-0001-6160-6282, Tenekedjiev, K ORCID: 0000-0003-3549-0671, Wang, C-M and Penesis, I ORCID: 0000-0003-4570-6034 2022 , 'Assessment of uncertain alternatives for co-located aquaculture and offshore wind farm in Tasmania' , Ocean Engineering, vol. 249 , pp. 1-20 , doi: 10.1016/j.oceaneng.2022.110949.

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Abstract

This study investigated a set of 36 alternatives of co-located aquaculture and an offshore wind farm in three potential sites across Tasmania. We assessed the alternatives against technological aspects, environmental aspects, and site-selection factors through the development of a Bayesian network and an influence diagram such that the uncertainties of each possible vector of consequences were effectively assessed for each alternative. We structured the consequence space as a three-level hierarchical tree and constructed the multi-attribute utility function under various independence conditions. We described in detail the assessment of the scaling constants in the multi-attribute utility function. The analysed alternatives were ranked based on the maximum expected utility rule to outline the best one. We performed one-dimensional and multi-dimensional sensitivity analyses, to test how the solution is impacted by the subjectively assessed five-dimensional utility function and showed that the constructed function is rather robust within a very wide range of values. Finally, we outlined some future aspects of development and implementation for the Bayesian-network-influence diagram based multi-attribute analysis as a decision-support system tool for offshore Blue Growth projects with different types of production systems.

Item Type: Article
Authors/Creators:Villalba, JF and Abdussamie, N and Aryai, V and Nikolova, N and Tenekedjiev, K and Wang, C-M and Penesis, I
Keywords: offshore wind farm, aquaculture farm, decision-making, independence conditions, sensitivity analysis, Blue growth, Blue economy
Journal or Publication Title: Ocean Engineering
Publisher: Pergamon-Elsevier Science Ltd
ISSN: 0029-8018
DOI / ID Number: 10.1016/j.oceaneng.2022.110949
Copyright Information:

Copyright 2022 Elsevier Ltd.

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