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Least cost 100% renewable electricity scenarios in the Australian National Electricity Market Ben Ellistona,∗, Iain MacGilla,b , Mark Diesendorfc
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Document Date: 2013-03-21 07:30:45


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File Size: 2,41 MB

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City

Diesendorf / Brisbane / Sydney / Canberra / Victoria / Melbourne / Adelaide / /

Company

Woomera CST SA / International Energy Agency / QLD SA / Renewable Energy / Technology Efficiency Capital / PV QLD Canberra PV NSW Adelaide PV SA / National Renewable Energy Laboratory / Nullarbor CST SA / VIC SA / /

Continent

Europe / /

Country

Germany / Macedonia / New Zealand / United States / Australia / United Kingdom / Ireland / Denmark / /

Currency

USD / /

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Event

Environmental Issue / M&A / /

Facility

University of New South Wales / National Renewable Energy Laboratory / PV plant / Australian National University / Institute of Environmental Studies / CST plant / /

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IndustryTerm

electricity industry operation / electricity industry data / clean technology industries / simplified transmission network / annual energy / transmission network / technology portfolios / energy surplus / cost accounting / hydroelectric energy / electricity supply / gas turbines / integrated electricity industries / hourly energy exchanges / present transmission network / technology mix / energy exchanges / unserved energy / selected generating technologies / electricity system / energy targets / gas turbine / energy sources / electricity sector / technology costs / energy supply / restructured electricity industries / electricity objectives / energy / greenhouse gas emissions / energy market / electricity / energy storage / electricity industry / genetic algorithm / energy independence / electricity generation / electricity generation mixes / electricity targets / simulation tool / weather systems / electricity supply system / genetic algorithms / energy efficiency schemes / electricity demand / energy scenarios / state electricity networks / electricity using wind / energy system / electricity scenarios / generation technologies / electricity generation options / electricity plant / energy technologies / end-use energy demand / higher electricity prices / /

MarketIndex

case 100 / /

NaturalFeature

Peninsula of South Australia / /

OperatingSystem

Linux / /

Organization

European Climate Foundation / Canberra PV / Melbourne PV / Adelaide PV / Institute of Environmental Studies / Sydney PV / University of New South Wales / Sydney / School of Electrical Engineering and Telecommunications / Environment Committee / German Advisory Council on the Environment / Australian Bureau of Resources and Energy Economics / Bureau of Meteorology / Centre for Energy and Environmental Markets / Australian National University / Federal Government Multi-Party Climate Change Committee / International Renewable Energy Agency / /

Person

Mark Diesendorfc / Ben Ellistona / Ben Elliston / /

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Position

Corresponding author / lead author / representative / /

ProgrammingLanguage

Python / /

ProvinceOrState

Queensland / Capital Territory / Victoria / Tasmania / South Australia / New South Wales / /

PublishedMedium

Energy Economics / /

Region

South Australia / northern Europe / South Wales / North Queensland / /

Technology

Linux / genetic algorithm / selected generating technologies / energy technologies / biofuels / 8 Technology / existing generation technologies / simulation / /

SocialTag