SCIEPublish

A Conceptual Probabilistic Framework for Site-Specific Renewable-Energy Infrastructure Selection in Offshore Aquaculture

Article Open Access

A Conceptual Probabilistic Framework for Site-Specific Renewable-Energy Infrastructure Selection in Offshore Aquaculture

Author Information
1
Centre for Maritime Engineering and Hydrodynamics, Australian Maritime College, University of Tasmania, Locked Bag 1395, Launceston, TAS 7250, Australia
2
Blue Economy Cooperative Research Centre, Launceston, TAS 7250, Australia
*
Authors to whom correspondence should be addressed.

Received: 03 August 2026 Revised: 03 September 2026 Accepted: 16 September 2026 Published: 28 September 2026

Creative Commons

© 2026 The authors. This is an open access article under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).

Views:37
Downloads:11
Mar. Energy Res. 2026, 3(3), 10020; DOI: 10.70322/mer.2026.10020
ABSTRACT: Offshore expansion of aquaculture is constrained by the prohibitive cost of subsea grid connection, making off-grid renewable generation an alternative to the diesel supply that currently dominates. This study addresses a fundamental question: is there an optimal renewable energy infrastructure suitable for universal deployment in offshore aquaculture, or must solutions be site-specific? A probabilistic decision-making framework incorporating influence diagrams, Markov chains, temporal modelling, investment cost forecasting, and five renewable energy infrastructure designs was evaluated against performance, environmental impact, and techno-economic criteria. Application to two Tasmanian case study sites revealed that multi-source renewable infrastructures outperformed single-source alternatives, yet different technology combinations proved optimal at each location (VAWT-PV-OWC at Bass Strait, HAWT-PV or HAWT at Storm Bay). Under equal criterion weighting, renewable alternatives scored 15–35% lower in utility than diesel generation, at a cost of valued energy approximately 9–14 times the diesel baseline on a 2030 forecast basis, but this ranking reversed once environmental weighting exceeded 37%, within the range of plausible stakeholder priorities. The site-specific rankings were unchanged across all 64 cost-parameter perturbation scenarios tested, indicating robustness to cost-forecast uncertainty. These findings demonstrate that effective renewable energy deployment for offshore aquaculture requires site-specific assessment rather than a one-size-fits-all approach, and provide a transferable methodology for conducting assessment.
Keywords: Hybrid renewable energy systems; Discrete-time Markov chain; Multi-criteria decision making; Cost of valued energy; Multi-attribute utility theory; Off-grid power supply; Offshore aquaculture
TOP