PhD (Queensland University of Technology), Master of Engineering
As a research fellow in the Science and Engineering Faculty at Queensland University of Technology (QUT), Dr Fanny Boulaire applies her knowledge in analytics, modelling, and software development to research projects seeking answers to a variety of challenges in the energy sector.
Fanny has developed her technical expertise over twenty years, since she started her undergraduate studies in mathematics, modelling and computer science. Her knowledge deepened as she worked as a project officer at the Commonwealth Scientific and Industrial Research Organisation (CSIRO), in the domains of building and construction, bushfire and water asset management. There she developed software tools in Java, Java3D, and Python, as well as statistical models for different applications.
In March 2011, Fanny joined QUT to work on a collaborative research project between QUT, two Australian and three German universities, and Ergon Energy. The project investigated the impact of introducing renewable energy sources on electricity grids. It focused on quantifying electricity usage of assets with a view to finding alternative solutions to address costly network upgrades. In this project, Ergon Energy provided the case studies and data, while she applied complex system science techniques, namely agent-based modelling, to the modelling of the different factors affecting electrical power distribution systems. At the same time as she was working on the Ergon Energy project, Fanny undertook and successfully completed a Doctor of Philosophy (PhD). Her PhD work provided a flexible and extensible software environment on which the models were developed. This was a very enriching experience, combining the research objectives with Ergon Energy needs in order to produce rigorous and high quality project outcomes.
After she completed her Doctorate, her novel and practical approach to developing modelling and software platforms gained industry interest. Fanny has since worked with Energy Queensland on two research projects, assisting them in bringing together their data with a view to developing a complete network model of Queensland, and developing a bayesian network that describes their customers’ relationship with electricity.
- Complex Systems Science
- Mathematical and Statistical Modelling
- Data science
- Renewable Energy
- Energy Management
- Energy Storage Devices
- March 2011 to current – Research Fellow at Queensland University of Technology
- November 2003 to February 2011 – Research Project Officer at CSIRO
- 2015 – PhD, Queensland University of Technology
- 2000-2003 – Diplôme d’ingénieur / Master of Engineering degree, Department of Mathematics and Modelling Engineering (CUST – now Polytech’ Clermont-Ferrand, Grande Ecole).
- 1997-2000 – Preparatory classes to the Grandes Ecoles (CPGE)
- 2012 – Recipient of the Wal Read Award – Best Postgraduate paper
- 2008 – Recipient of the CSIRO CEO Study award to participate in course on geostatistics methods at Ecole des Mines, Paris
Collaboration with industry
- Energy Queensland / Ergon Energy
Collaboration with other universities
- Prof Vahid Nik, Lund University and Chalmers University of Technology
- Prof Christoph Weber, Duisberg-Essen University
- 2017 – Speaker at Pint of Science, Brisbane
- 2016 – facilitation of a session of the “Mathematics in Industry Study Group”, Adelaide
- Boulaire F, Utting M, Drogemuller R, (2015) Dynamic agent composition for large-scale agent-based models, Complex Adaptive Systems Modeling p1-23
- Boulaire F, Utting M, Drogemuller R, (2015) Impact of technology uptake on an Australian electricity distribution network, Environmental Modelling and Software p196-213
- Drogemuller R, Boulaire F, Ledwich G, Buys L, Utting M, Vine D, Morris P, Arefi A, (2015) Aggregating energy supply and demand, eWork and eBusiness in Architecture, Engineering and Construction p425-430
- Boulaire F, Higgins A, Foliente G, McNamara C, (2014) Statistical modelling of district-level residential electricity use in NSW, Australia, Sustainability Science p77-88
- Boulaire F, Utting M, Drogemuller R, (2014) Parallel ABM for electricity distribution grids: a case study, Euro-Par 2013: Parallel Processing Workshops: BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Revised Selected Papers [Lecture Notes in Computer Science, Volume 8374] p565-574
- Boulaire F, Utting M, Drogemuller R, (2013) MODAM: A MODular agent-based modelling framework, Proceedings of the 2nd International Workshop on Software Engineering Challenges for the Smart Grid p33-40
- Boulaire F, Utting M, Drogemuller R, Ledwich G, Ziari I, (2012) A hybrid simulation framework to assess the impact of renewable generators on a distribution network, Proceedings of the 2012 Winter Simulation Conference p1-12
- Boulaire F, Utting M, Drogemuller R, Abeygunawardana A, Ledwich G, Bell J, (2012) Planning for the impact of distributed solar energy on the grid, Proceedings of the 50th Annual Solar Conference 2012 p1-10
- Gould S, Boulaire F, Burn S, Zhao X, Kodikara J, (2011) Seasonal factors influencing the failure of buried water reticulation pipes, Water Science and Technology p2692-2699
- Marlow D, Boulaire F, Beale D, Grundy C, Moglia M, (2011) Sewer performance reporting: Factors that influence blockages, Journal of Infrastructure Systems p42-51