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UCL links Australian alumni – Alma mater matters

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Research at UCL Australia

UCL School of Energy and Resources

Research in the School of Energy and Resources focuses on both the upstream and downstream development of energy and resources, covering a wide range of disciplines - from engineering and economics to environmental science and law. 

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Mullard Space Science Laboratory

The Mullard Space Science Laboratory (MSSL) is a world-leading research organisation delivering a broad science programme that is underpinned by a strong capability in space science instrumentation, space-domain engineering, space medicine, systems engineering and project management.

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International Energy Policy Institute

The International Energy Policy Institute (IEPI) was created to address key policy issues in the mineral, energy and resources industries through intensive and innovative research.

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Research at the IEPI

Professor Stefaan Simons

Professor Stefaan Simons

RESEARCH

International Energy Policy Institute

INTERNATIONAL ENERGY POLICY INSTITUTE

The International Energy Policy Institute (IEPI) was created to address key policy issues in the mineral, energy and resources industries through intensive and innovative research.

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Mullard Space Science Laboratory

MULLARD SPACE SCIENCE LABORATORY

The Mullard Space Science Laboratory (MSSL) is a world-leading research organisation delivering a broad science programme that is underpinned by a strong capability in space science instrumentation, space-domain engineering, space medicine, systems engineering and project management.

Read more...

UCL Australia PhD presents at All-Energy Australia Conference

10 October 2013

10 October 2013

Carmen Wouters, a PhD student at University College London, Australia, presented at All-Energy Australia 2013 Conference earlier today on:

‘Optimal design of a microgrid: A case study in South Australia’ 

The current energy sector faces several challenges such as renewable energy targets, CO2 emission reduction targets and a growing population coupled with an increasing global energy demand. As a result, a lot of research is being conducted attempting to define approaches to achieve these targets and address the current climate and energy challenges. Each approach, however, whether at a large- or small-scale, has to be cost effective, efficient and reliable towards consumers. 

A possible approach in addressing the above challenges is to look into small-scale generation at the distribution level as a way of increasing efficiency of energy generation and incorporating renewables on a residential level. But how can we optimally design and operate distributed generation units in populated residential environments in a cost effective, reliable and efficient way while utilising locally available sources of energy? The mathematical model described in the below abstract addresses this problem trying to optimise the design of a residential energy system while minimising the total annualised cost of the system as a whole.

Abstract

Distributed generation units have the potential to enhance the use of locally available sources of energy, addressing the growing global electricity demand and renewable energy targets. Australia, especially South Australia, has some of the world’s best conditions for solar irradiance and wind, providing an attractive environment for the implementation of distributed generation at a local scale. The integration of small-scale generation units in the current grid infrastructure, however, requires an efficient and cost effective local grid design. 

This work presents a mixed-integer linear programming (MILP) model which can identify an optimal grid design in terms of location, sizing and operation of distributed generation units for a South-Australian based microgrid. Both the heating and electricity demands of a small neighbourhood are satisfied through the consideration and combined use of solar photovoltaic panels, micro combined heat and power units, boilers, storage units and small-scale wind turbines with the option of interconnection with the existing centralised grid. The optimisation objective is to minimise the total annualised microgrid cost which includes both the annualised investment and the operation and maintenance costs of the different distributed generation units, as well as the option to include a carbon tax. The model integrates the operational characteristics and constraints of the different technologies for several scenarios and is implemented in GAMS.

About the speaker

Ms Wouters is a PhD student at University College London, Australia, specialising on Optimal design and operation of future energy systems. View Carmen Wouters profile.

About the Conference

All-Energy Australia is an annual business-to-business conference and networking forum hosted alongside an exhibition showcasing renewable energy, clean energy, sustainable transport and energy efficiency.