Spatial optimality and temporal variability in Australia's wind resource Article Swipe
Andrew Gunn
,
Roger Dargaville
,
Christian Jakob
,
Shayne McGregor
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.31223/x56q28
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.31223/x56q28
To meet electricity demand using renewable energy supply, wind farm locations should be chosen to minimise variability in output, especially at night when solar photovoltaics cannot be relied upon. Wind farm location must balance grid-proximity, resource potential, and wind correlation between farms. A top-down planning approach for farm locations can mitigate demand unmet by wind supply, yet the present Australian wind energy market has bottom-up short-term planning. Here we show a computationally tractable method for optimising farm locations to maximise total supply. We find that Australia’s currently operational and planned wind farms produce less power with more variability than a hypothetical optimal set of farms with equivalent capacity within 100 km of the AEMO grid. Regardless of the superior output, this hypothetical set is still subject to variability due to large-scale weather correlated with climate modes (i.e., El Niño). We study multiple scenarios and highlight several internationally transferable planning implications.
Related Topics
Concepts
Wind power
Renewable energy
Grid
Environmental science
Resource (disambiguation)
Environmental economics
Scale (ratio)
Wind speed
Environmental resource management
Electricity
Mains electricity
Meteorology
Natural resource economics
Business
Computer science
Geography
Economics
Engineering
Cartography
Computer network
Voltage
Electrical engineering
Geodesy
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.31223/x56q28
- https://eartharxiv.org/repository/object/5350/download/11645/
- OA Status
- gold
- Cited By
- 8
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4368372291
All OpenAlex metadata
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https://doi.org/10.31223/x56q28Digital Object Identifier
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Spatial optimality and temporal variability in Australia's wind resourceWork title
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preprintOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-05-04Full publication date if available
- Authors
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Andrew Gunn, Roger Dargaville, Christian Jakob, Shayne McGregorList of authors in order
- Landing page
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https://doi.org/10.31223/x56q28Publisher landing page
- PDF URL
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https://eartharxiv.org/repository/object/5350/download/11645/Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://eartharxiv.org/repository/object/5350/download/11645/Direct OA link when available
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Wind power, Renewable energy, Grid, Environmental science, Resource (disambiguation), Environmental economics, Scale (ratio), Wind speed, Environmental resource management, Electricity, Mains electricity, Meteorology, Natural resource economics, Business, Computer science, Geography, Economics, Engineering, Cartography, Computer network, Voltage, Electrical engineering, GeodesyTop concepts (fields/topics) attached by OpenAlex
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8Total citation count in OpenAlex
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2024: 6, 2023: 2Per-year citation counts (last 5 years)
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