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Computational Modelling Group
https://como.ceb.cam.ac.uk/resources/flpyro/Flame pyrometry. Colour ratio pyrometry is an economic and rapid technique to obtain soot temperatures and volume fractions from colour photographs of flames. -
Computational Modelling Group
https://como.ceb.cam.ac.uk/The World Avatar project has been selected for the World Economic Forum (WEF)’s list of Global Use Cases as part of its Global Digital Twin Cities initiative. -
Computational Modelling Group: Ning Xiao's Preprints
https://como.ceb.cam.ac.uk/preprints/nx201/Ning Xiao. Full List of Preprints co-authored by Ning Xiao. 119:Tom Harris, Tim Helme,and Markus Kraft, Technical Report 119, c4e-Preprint Series, Cambridge, 2012. 2024 Computational Modelling Group. Department of Chemical Engineering and -
Computational Modelling Group: Min Loon Yong's Preprints
https://como.ceb.cam.ac.uk/preprints/mly22/Min Loon Yong. Full List of Preprints co-authored by Min Loon Yong. 119:Tom Harris, Tim Helme,and Markus Kraft, Technical Report 119, c4e-Preprint Series, Cambridge, 2012. 2024 Computational Modelling Group. Department of Chemical Engineering and -
Computational Modelling Group: Preprint 6
https://como.ceb.cam.ac.uk/preprints/6/The non-premixed combustion of an n-heptane fuel stream injected into hot air was chosen as a test case. -
Computational Modelling Group: Pooya Azadi
https://como.ceb.cam.ac.uk/people/pa360/Pooya Azadi. Pooya Azadi. Post Doc. Biography. Pooya is currently a postdoctoral researcher at the CoMo Group, Department of Chemical Engineering and Biotechnology. His primary research interests fall into the areas of sustainable low carbon energy -
Computational Modelling Group: Benjamin Taylor's Preprints
https://como.ceb.cam.ac.uk/preprints/bjt36/Benjamin Taylor. Full List of Preprints co-authored by Benjamin Taylor. 126:and Markus Kraft, Technical Report 126, c4e-Preprint Series, Cambridge, 2013. 119:Tom Harris, Tim Helme,and Markus Kraft, Technical Report 119, c4e-Preprint Series, Cambridge -
Computational Modelling Group: Preprint 287
https://como.ceb.cam.ac.uk/preprints/287/We suggest that considering the technological dimension as a new addition to the trifecta of economic, environmental and social sustainability goals that guide planning processes, can help governments to address this -
Computational Modelling Group: Preprint 150
https://como.ceb.cam.ac.uk/preprints/150/The concept of Industry 4.0 translation to an EIP is introduced, which delivers an expert system allowing users to monitor, control, and optimise the social, economic and environmental repercussions of -
A virtual octane test simulator for gasoline/ethanol blends
https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-111.pdf1 May 2019: b) Experimental and Computed Critical Com-pression Ratios. Figure 7: Simulations of the RON test [4]. ... 4] ANSI. Standard test method for research octane number of spark-ignition enginefuel. -
Computational Modelling Group: Preprint 196
https://como.ceb.cam.ac.uk/preprints/196/Abstract. Flame aerosol synthesis (FAS) has been in industrial use for mass production of nanoparticle commodities, and in recent years has been developed into a tool for economic synthesis of novel -
Computational Modelling Group: Jasdeep Singh
https://como.ceb.cam.ac.uk/people/js400/India). Jasdeep has a B.Tech and M.Tech from IIT Delhi, India and was All India Rank-1 in GATE (Graduate Aptitude Test for Engineering) 2000. -
Computational Modelling Group: Preprint 265
https://como.ceb.cam.ac.uk/preprints/265/The results indicate that the proposed approach can achieve significant economic benefits. -
Computational Modelling Group: Preprint 23
https://como.ceb.cam.ac.uk/preprints/23/A test simulation was implemented to examine the stochastic algorithm under various simple starting conditions. -
Computational Modelling Group: Preprint 22
https://como.ceb.cam.ac.uk/preprints/22/Associated Themes:. Abstract. In this paper we derive and test an extended mass-flow type stochastic particle algorithm for simulating the growth of nanoparticles that are formed in flames and reactors. -
Computational Modelling Group: Amit Bhave's Preprints
https://como.ceb.cam.ac.uk/preprints/ab349/Amit Bhave. Full List of Preprints co-authored by Amit Bhave. 287: The Conundrum in Smart City Governance: Interoperability and Compatibility in an ever-growing digital ecosystem. Hou Yee Quek, Franziska Sielker,Aurel von Richthofen, Pieter Herthogs, -
Computational Modelling Group: Preprint 301
https://como.ceb.cam.ac.uk/preprints/301/Recommendations for techno-economic and storage modelling. Abstract. The expansion of variable renewable energy (VRE) generation propagates numerous challenges for national energy systems. -
Computational Modelling Group: Preprint 45
https://como.ceb.cam.ac.uk/preprints/45/A second, new model is introduced, in which all growth is concentrated on the formation of a frustum between the two primary particles and used to test the importance of the -
Computational Modelling Group: Publication AE-251-113363-
https://como.ceb.cam.ac.uk/publications/AE-251-113363-/Abstract. This work presents an economic feasibility study of using algae and biochar burial strategies to offset carbon emission from the use of conventional fossil-derived transport fuels. ... The economic feasibility is quantified on the basis that -
Computational Modelling Group: News item 140
https://como.ceb.cam.ac.uk/news/140/While decarbonisation is non-negotiable if climate breakdown is to be halted, it must be balanced with ensuring economic stability and a smooth transition to sustainable energy.
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