The history behind the innovation
The history of the team
As computational capacity increase and rapid technological development has become essential for combustion industries, computational tools have become ubiquitous. As the Team has been involved with Swedish combustion industry in several collaborative projects, the need for efficient and accurate chemical models have become obvious. With the ambition to meet the need from industry, co-Founder of Tailored Chemistry Elna Heimdal Nilsson in 2016 initiated an academic project at Lund University, aiming at developing new tools for chemical kinetic mechanisms. Elna is herself an expert in the important chemical processes of combustion but needed to team up with a programmer. Christoffer Pichler took on the challenge and as a part of his PhD project he developed an method using a sofisticated combination of intelligent algorithm for reduction of extensive chemical mechanisms. In early 2019 the team found the method mature enough for taking the first steps towards commercialization, and started the company Tailored Chemistry.
With the mindset of an entrepreneur and a solid background in Research and Development, Elna Heimdal Nilsson is a driving force for bringing the new ACR technology to the market. Elna has a PhD in chemical kinetics from University of Copenhagen, where she also assisted in development of an innovation related to air cleaning. The last ten years she has been a senior researcher in Combustion Physics at Lund University, developing unique chemical modelling tools in collaboration with industrial partners such as Siemens Industrial Turbomachinery AB, Azelio and Volvo Cars, among others.
Elna Heimdal Nilsson, co-founder, CEO and chemical modeling expert.
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Ant Colony Reduction, The Innovation
ACR, as we call it, is a unique combination of algorithms, with an equaly unique capacity to reduce the size of chemical systems. Tell ACR as much as possible about your combustion system and feed it with a highly detailed chemical mechanism. After some chewing it will return a compact, computationally efficient, reduced chemical mechanism that give accurate results when implemented in CFD simulations of the target combustion systems.