australian renewable energy mapping infrastructure

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NICTA Copyright 2015 Australian Renewable Energy Mapping Infrastructure (AREMI) Peter Leihn Director, Environment Business NICTA Co-Founder, Terria

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Page 1: Australian Renewable Energy Mapping Infrastructure

NICTA Copyright 2015

Australian Renewable Energy Mapping Infrastructure

(AREMI)

Peter Leihn

Director, Environment Business NICTA

Co-Founder, Terria

Page 2: Australian Renewable Energy Mapping Infrastructure

NICTA Copyright 2015

AREMI Objectives

• Inform investment decisions in energy

infrastructure, therefore increasing

energy sector productivity

• Increase public and private

investments in renewable energy by

reducing time and costs during pre-

competitive planning stages

• Create the opportunity for public and

private sectors to develop and share

value adding analytics services

Page 3: Australian Renewable Energy Mapping Infrastructure

NICTA Copyright 2015

nationalmap.gov.au/renewables

Page 4: Australian Renewable Energy Mapping Infrastructure

NICTA Copyright 2015

AREMI Architecture

Key functionality :

• One stop shop for knowledge

sharing

• Designed to allow addition of

web feature services from data

custodians

• Hosting of legacy datasets from

ARENA projects

Map browser code and data

mgmt

Data.gov.au

Web browser

Map imagery

Tile map server

Elevation data

Terrain server

Internet

Tablet

Other data and services

ABS data

GA data BoM data

ARENA funded

projects

WA data

QLD data

Third Party Data

Page 5: Australian Renewable Energy Mapping Infrastructure

NICTA Copyright 2015

Industry Consultation

Page 6: Australian Renewable Energy Mapping Infrastructure

NICTA Copyright 2015

Most important

Transmission lines + substations

Land ownership boundaries

Page 7: Australian Renewable Energy Mapping Infrastructure

NICTA Copyright 2015

AREMI Development Pipeline

Page 8: Australian Renewable Energy Mapping Infrastructure

NICTA Copyright 2015

The future

• AREMI is only 9 months young

• Huge development pipeline – more datasets coming

• New features, e.g. powerful graph support

• Spatial analytics

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Image source: http://danny-strasser.de/