This study identifies potential sites for off-shore wind power in Australia. It uses a systematic framework, a type of multi-criteria analysis with constraints. The method fosters a transparent, participatory process for inputting criteria. The key parameters considered are the annual mean wind speeds, the depth of water, distance from the shore, and locations of existing transmission lines, centres of electricity demand and protected areas. Although ocean depth increases rapidly around most of the long Australian coastline and many regions are almost uninhabited, we find several regions of high potential near populated areas. The best sites are located off the Western Australian coast near the South-West Integrated System (grid). There are also several possible site regions off the coasts of New South Wales, Victoria, Queensland and South Australia.
DvorakM.J.JacobsonM.Z.ArcherC.L., California Offshore Wind Energy Potential, Stanford University, 2007.
11.
HingtgenJ.S., Offshore wind farms in the Western Great Lakes: An interdisciplinary analysis of their potential, Master Thesis, University of Wisconsin-Madison, 2003.
12.
JengD.S., Potential of Offshore Wind Energy in Australia, University of Sydney, Sydney, 2007.
General Bathimetric Chart of the Oceans, (GEBCO) Digital Atlas, available at British Oceanographic Data Centre website http://www.bodc.ac.uk/.
15.
VieiraS.WoodR.CauserT., Australian Fishery Survey Report2007, 2008.
16.
ABARE (Australian Bureau of Agricultural and Resource Economics), Australian Fisheries Statistics2004, Canberra, 2005.
17.
Australian Government, Department of the Environment and Heritage, Australian Maritime Safety Authority, Geoscience Australia and National Oceans Office, Distribution of selected species chart, andShipping Movement by vessel type chart, 2004.
18.
IBA(“Important Bird Area”) maps and results from Birdsaustralia, available at www.birdsaustralia.com.
19.
BamfordM.WatkinsD.BancroftW.TischlerG.WahlJ., Migratory Shorebirds of the East Asian - Australasian Flyway: Population Estimates and Internationally Important Sites, Wetlands International, 2008.
20.
FioreseG.GuarisoG., Location of biomass fueled cogeneration plants: A GIS based approach, Proc. INPUT' 08 Conference, Lecco, 4–6 March, 2009.
21.
BajaS.ChapmanD.M.DragovichD., A conceptual model for assessing agricultural land suitability at a catchment level using a continuous approach in GIS, University of Sydney, The Regional Institute, 2006.
22.
PasquiniF., Applicazione di simulazioni Monte Carlo nello sviluppo di un supporto informatico per la scelta tra progetti alternativi (Application of Monte Carlo simulations to develop an information support for the choice among multiple projects), Masters thesis in Environmental Engineering, Politecnico di Milano, 2003.
23.
MostertE., The challenge of public participation, Water Policy, 2003, 5(2).
24.
RennO., Public participation in impact assessment: A social learning perspective, Environmental Impact Assessment Review, 1995.
25.
Australian Bureau of Agricultural and Resource Economics (ABARE), Energy in Australia 2009, ABARE, Canberra, p. 27.
26.
Soncini SessaR.WeberE.CastellettiA., Integrated and participatory water resources management, Elsevier, Amsterdam, 2007.
27.
Jeng (2007) cited above.
28.
KeeneyR.L.RaiffaH., 1976. Decisions with Multiple Objectives: Preferences and Value-Tradeoffs, John Wiley, New York.
29.
De LeoG., Fondamenti di Valutazione d'Impatto Ambientale (Environmental Impact Assessment Principles), Politecnico di Milano Università di Parma, 2001.
30.
ColorniA.LaniadoE., Dispense del corso di Metodi e Modelli per il Supporto alle Decisioni (Decision Support Methods and Models, course notes), Politecnico di Milano, 2001.
31.
RoyB.BertierP., La mèthode ELECTRE II, SEMAMETRA Metra International, 1971.
32.
Van DelftH.NijkampP., Multi-criteria Analysis and Regional Decision-Making, Martinus Nijhoff Social Science Division, Leiden Neederlands, 1977.
