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41 - 60 of 353 search results for Economics test |u:como.ceb.cam.ac.uk where 34 match all words and 319 match some words.
  1. Results that match 1 of 2 words

  2. 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.
  3. 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.
  4. 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
  5. 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
  6. 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.
  7. 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
  8. 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
  9. 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
  10. A virtual octane test simulator for gasoline/ethanol blends

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-111.pdf
    1 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.
  11. 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
  12. 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
  13. 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.
  14. 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,
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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
  20. 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
  21. 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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