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Aggregating GIS and MCDM to optimize wave energy converters location in Tasmania, Australia
Citation
Le, P and Fischer, A and Penesis, I and Rahimi, R, Aggregating GIS and MCDM to optimize wave energy converters location in Tasmania, Australia, Soft Computing Applications for Renewable Energy and Energy Efficiency, Information Science Reference, MS Garcia-Cascales, JM Sanchez-Lozano, AD Masegosa, C Cruz-Corona (ed), USA, pp. 141-164. ISBN 978-1-4666-6631-3 (2015) [Research Book Chapter]
DOI: doi:10.4018/978-1-4666-6631-3.ch006
Abstract
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.
Item Details
Item Type: | Research Book Chapter |
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Research Division: | Environmental Sciences |
Research Group: | Environmental management |
Research Field: | Environmental assessment and monitoring |
Objective Division: | Environmental Management |
Objective Group: | Other environmental management |
Objective Field: | Other environmental management not elsewhere classified |
UTAS Author: | Le, P (Miss Tran Duy Phuc Le) |
UTAS Author: | Fischer, A (Dr Andy Fischer) |
UTAS Author: | Penesis, I (Professor Irene Penesis) |
UTAS Author: | Rahimi, R (Mr Rahman Rahimi) |
ID Code: | 96716 |
Year Published: | 2015 |
Deposited By: | IMAS Research and Education Centre |
Deposited On: | 2014-11-18 |
Last Modified: | 2018-04-04 |
Downloads: | 0 |
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