Spatial optimality and temporal variability in Australia’s wind resource Article Swipe

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Andrew Gunn , Roger Dargaville , Christian Jakob , Shayne McGregor ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1088/1748-9326/ad0253

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 Australian Energy Market Operator 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

Renewable Energy

Environmental Science

Environmental Economics

Natural Resource Economics

Electrical Engineering

Physics

Quantum Mechanics

Geodesy

Concepts

Wind power Renewable energy Grid Environmental science Environmental economics Resource (disambiguation) Electricity Scale (ratio) Mains electricity Wind speed Meteorology Environmental resource management Computer science Natural resource economics Business Geography Economics Power (physics) Engineering Cartography Electrical engineering Physics Computer network Quantum mechanics Geodesy

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Type: article
Language: en
Landing Page: https://doi.org/10.1088/1748-9326/ad0253
OA Status: gold
Cited By: 10
References: 56
Related Works: 10
OpenAlex ID: https://openalex.org/W4387521614

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OpenAlex ID: https://openalex.org/W4387521614

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DOI: https://doi.org/10.1088/1748-9326/ad0253

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Title: Spatial optimality and temporal variability in Australia’s wind resource

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Type: article

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Language: en

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Publication year: 2023

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Publication date: 2023-10-11

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Authors: Andrew Gunn, Roger Dargaville, Christian Jakob, Shayne McGregor

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Landing page: https://doi.org/10.1088/1748-9326/ad0253

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Open access: Yes

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OA status: gold

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OA URL: https://doi.org/10.1088/1748-9326/ad0253

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Concepts: Wind power, Renewable energy, Grid, Environmental science, Environmental economics, Resource (disambiguation), Electricity, Scale (ratio), Mains electricity, Wind speed, Meteorology, Environmental resource management, Computer science, Natural resource economics, Business, Geography, Economics, Power (physics), Engineering, Cartography, Electrical engineering, Physics, Computer network, Quantum mechanics, Geodesy

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Cited by: 10

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Citations by year (recent): 2025: 4, 2024: 4, 2023: 2

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References (count): 56

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Related works (count): 10

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