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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.
Related URLs:	Google Scholar: Abdussamie, N Google Scholar: Nikolova, N Google Scholar: Tenekedjiev, K UTAS Profile: Tenekedjiev, K Google Scholar: Penesis, I UTAS Profile: Penesis, I
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