Accelerating energy decarbonisation using numerical simulations

Climate change, diminishing resources, and rising energy demand are among the key challenges of our time. As new technologies, business models and policy settings emerge to address these challenges, we see our energy system undergoing transformation and just how quickly new pathways can be forged. To meet these challenges, the Melbourne Energy Institute takes an interdisciplinary and collaborative approach to research.

Melbourne Energy Institute

The Melbourne Energy Institute invites you to a lecture by global combustion and fluid mechanics expert, Dr Bénédicte Cuenot.

Alan Gilbert Building, Theatre 2, 1st Floor

<p>The transition to energy sources with zero net greenhouse gas emissions has become a top priority worldwide. Depending on the sector and its specific needs in terms of energy flexibility, availability, cost and power, various solutions are currently being proposed by the research and industrial communities. In many cases, combustion is used to release controllable quantities of energy to the final application. In this context, reliable and efficient numerical simulations are essential to study the technical viability of these solutions as a complement to experimentation, or even before any actual testing.
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</p><p>In this lecture, Dr Bénédicte Cuenot will discuss the current methods and models for the numerical simulation of turbulent combustion in low-emission systems, using simple examples. Application to several projects currently being studied will then be described, and research needs will finally be discussed.</p><p></p><p><strong>I﻿N PERSON EVENT ONLY</strong></p><p></p>

<h2>SPEAKER:  </h2><h2>Dr Bénédicte Cuenot</h2><h3>Leader of Combustion Research Group, CERFACS</h3><p>Dr-HdR B. Cuenot obtained her engineering and master degree from Ecole Centrale de Paris in 1990. After one year as research engineer in the University of Boulder (CO, USA), she came back to France where she defended her PhD in 1995 and HdR in 2000, both in the field of numerical combustion. She is now the leader of the combustion research group at CERFACS, developing advanced and massively parallel softwares for the numerical simulation (DNS and LES) of turbulent reacting flows, plasma flows and heat transfer (including thermal radiation) in industrial systems. With these tools she addresses various topics such as pollutant emissions, ignition and extinction, combustion efficiency or thermal fatigue of combustion chambers in the fields of propulsion and energy production. </p><p>Dr. Cuenot teaches combustion and fluid mechanics in various universities and has authored about 150 peer-reviewed journal papers. She has participated to many collaborative projects at the national and international level, and is much experienced in coordinating european projects, mostly financed by the European Commission where she also acts as an expert evaluator. She has been distinguished as a Fellow of the Combustion Institute in 2018 and is a member of the Editorial Board of Combustion and Flame since 2018. She was co-Chair of the 39th International Symposium in Combustion, held in Vancouver in july 2022.</p>

<h2>M﻿ODERATOR:  </h2><h2>A/Prof. Mohsen Talei</h2><h3>Associate Professor, Mechanical Engineering</h3><p>A/Prof Mohsen Talei  s an academic in the Department of Mechanical Engineering. Mohsen joined the University of Melbourne as a staff member in 2014, having previously completed post-doctoral research at the University of New South Wales (UNSW) and a PhD at the University of Melbourne.</p><p>Mohsen has 18 years of industry and academic research experience in the broad area of energy which includes numerical and theoretical investigations of turbulent reactive flows with the focus on low-emission energy technologies. Mohsen’s research involves a significant use of high-performance computing to develop predictive tools for designing cleaner gas turbines and reciprocating engines.</p>

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Accelerating energy decarbonisation using numerical simulations

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Accelerating energy decarbonisation using numerical simulations

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