news and events

New CSIRO report
'Intelligent Grid report: a Value Proposition for Distributed Energy in Australia Please click here to access the CSIRO webpage: CSIRO Intelligent Grid Full Report

D-CODE Model now available
The Description and Cost of Distributed Energy (D-CODE) Model is a working model, designed to be transparent and accessible. We would appreciate your input in making D-CODE as useful and robust as possible. If you have comments, additional data, or feedback about D-CODE, please complete the online feedback form: D-CODE Feedback Form

iGrid Perth Forum
The next forum will be held in Perth entitled "Intelligent Grid & Distributed Energy Solutions: A Roadmap for Western Australia". This forum will be held on the 11 March at the Technology Park Function Centre, Bently. This forum continues the process of developing the Australian Distributed Energy Roadmap. The Roadmap will provide an assessment of the potential for Distributed Energy and identify the barriers that inhibit its implementation. It will deliver a concise and practical set of recommendations to accelerate the deployment of Distributed Energy in Australia.

You can access past presentations from the section Resources and Publications. Download the forum brochure by clicking here: iGrid Perth brochure

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New Housing Development

Full Name
Intelligent Grid in a New Housing Development

Project Description
This project considers how distributed energy for new housing developments will impact residents, whether it changes their energy use and their energy awareness. Residential buildings represent 20% of Australia’s greenhouse gas emissions and are largely responsible for the escalating peak electrical demand.

The project monitors real system performance of a new residential development where homes contain a range of efficiency features and allow interactive energy management by the resident.  Some issues being addressed include ownership and control of distributed resources (i.e. local generation and loads) in residential installations and how modelled behaviour translates to real behaviour and under different circumstances.

UniSA is working with the SA Land Management Corporation to develop the state of the art sustainable housing estate, Lochiel Park Green Village, which comprises 100 homes with a range of environmental sustainability features. The Village has a target of a 66% reduction in energy use and a 74% reduction in consequent greenhouse gas emissions in comparison with the average Adelaide household. The reductions are being achieved by:

optimising allotment design to maximise environmental benefits
reducing building energy requirements through passive design (7.5 star rating, minimum)
specified energy efficient appliances for heating and cooling
use of renewable energy (1kW photovoltaic system per 100m2 of living area)
installing electricity load-limiting devices
special bundled tariff incorporating green power
smart metering and real time display of energy usage
solar hot water systems (gas boosted)

Many other innovations will be installed in specific homes with some being designed as net zero energy homes.  This project will address the socio-economic impacts of demand management solutions in order to complement technical considerations.

Project team
University of South Australia

Project Outcomes
The project will provide valuable data and insights into how residential users will interact with and respond to distributed energy and intelligent energy control features and how behaviour might be modified to achieve energy and environmental objectives. Specific outcomes include:

Part 1: Two year monitored data on system performance, behaviour trends and energy use patterns which will validate energy, economic and social interaction models being developed by the CSIRO researchers and through other intelligent grid cluster projects.

Part 2: Hard evidence of the benefits of the greater use of intelligent features and distributed generation which will inform utilities, planning authorities, developers and policy makers.

Part 3: The ability to evaluate actual performance and benefits of a range of intelligent energy management technologies and to carry out cost-benefit analysis for each of them.

Part 4: Increased understanding of the benefits and practical challenges of incorporating intelligent energy features and distributed energy options in new housing estates.

Part 5: Greater government, industry and community awareness of the role of distributed energy in reducing peak demand, greenhouse gas emissions and the benefits of integrating distributed energy technologies in housing estates.

Part 6: An integrated technical, environmental, social and economic evaluation of the impact of intelligent and distributed energy features in the housing sector.


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