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Aggregating GIS and MCDM to Optimize Wave Energy Converters Location in Tasmania, Australia

Aggregating GIS and MCDM to Optimize Wave Energy Converters Location in Tasmania, Australia
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Author(s): Phuc Le (University of Tasmania, Australia), Andrew Fischer (University of Tasmania, Australia), Irene Penesis (University of Tasmania, Australia)and Rahman Rahimi (University of Tasmania, Australia)
Copyright: 2016
Pages: 24
Source title: Geospatial Research: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-9845-1.ch045

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Abstract

The aim of this chapter is 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.

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