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Aggregating GIS and MCDM to optimize wave energy converters location in Tasmania, Australia

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posted on 2023-05-22, 15:29 authored by Le, P, Andrew FischerAndrew Fischer, Irene PenesisIrene Penesis, Rahimi, R
The aim of this study was to develop a framework to guide wave energy converters (WECs) sites using the coastal waters of Tasmania as a case study. This chapter proposes a combined two-stage Multi-criteria Decision Making (MCDM) methodology to determine suitable locations for WECs siting with overlapping and minimal conflicting uses. A methodology combining MCDM and Geographic Information Systems (GIS) was developed combining the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and the Analytical Hierarchy Process (AHP). Priority rankings for each of the human uses and ocean features were prioritized using AHP and were then applied to TOPSIS analyses. A chain of optimal locations were determined, stretching from the southwest to southeast coast of Tasmania, where presently low densities of human activities overlap with high wave height. The result shows that suitable areas for harnessing WECs may not always be located in the highest wave energy areas.

History

Publication title

Soft Computing Applications for Renewable Energy and Energy Efficiency

Editors

MS Garcia-Cascales, JM Sanchez-Lozano, AD Masegosa, C Cruz-Corona

Pagination

141-164

ISBN

978-1-4666-6631-3

Department/School

Institute for Marine and Antarctic Studies

Publisher

Information Science Reference

Place of publication

USA

Extent

14

Repository Status

  • Restricted

Socio-economic Objectives

Other environmental management not elsewhere classified

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