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1 - 50 of 67 search results for Economics lesson |u:como.ceb.cam.ac.uk where 0 match all words and 67 match some words.
  1. Results that match 1 of 2 words

  2. Computational Modelling Group: Preprint 119

    https://como.ceb.cam.ac.uk/preprints/119/
    Preprint 119. Technical Report 119, c4e-Preprint Series, Cambridge. Techno-economic assessment of carbon-negative algal biodiesel for transport solutions. ... Under assumptions related to economics of scale, the techno-economic model is extended to
  3. Computational Modelling Group: Publication AE-106-262-274

    https://como.ceb.cam.ac.uk/publications/AE-106-262-274/
    Under assumptions related to economics of scale, the techno-economic model is extended to account for varying industrial scales of production. ... Access options. This paper draws from preprint 119: Techno-economic assessment of carbon-negative algal
  4. 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.
  5. Computational Modelling Group: Andrew Smallbone

    https://como.ceb.cam.ac.uk/people/ajs265/
    Andrew Smallbone. Andrew Smallbone. Visitor. Biography. Presently Andrew is a Visiting Fellow to the group and is a Principal Engineer based at CMCL Innovations in Cambridge. Andrew is working with the CoMo group on developing advanced computational
  6. Computational Modelling Group: News item 107

    https://como.ceb.cam.ac.uk/news/107/
    In collaboration with cmcl innovations, the CoMo Group will investigate the techno-economics of a C-FAST pilot plant, which aims to produce algal-derived liquid hydrocarbon fuels (e.g. ... The main objectives of the project are to. Carry out a detailed
  7. Computational Modelling Group: Preprint 146

    https://como.ceb.cam.ac.uk/preprints/146/
    Highlights. Techno-economics of 8 Biopower CCS technologies ranging from TRL 4 to TRL 6-7. ... 2. capture were identified and as- sessed. Techno-economic characteristics such as capital and operating costs, LHV% electrical efficiencies as well as CO.
  8. Computational Modelling Group: Publication BT-151-166-173

    https://como.ceb.cam.ac.uk/publications/BT-151-166-173/
    BT-151-166-173. The future viability of algae-derived biodiesel under economic and technical uncertainties. ... Reference: Bioresource Technology (BITE) 151, 166-173, (2014). Abstract. This study presents a techno-economic assessment of algae-derived
  9. Computational Modelling Group: Benjamin Taylor

    https://como.ceb.cam.ac.uk/people/bjt36/
    Benjamin Taylor. Benjamin Taylor. Post Doc. Biography. Ben is a senior member of Wolfson College and Postdoctoral Researcher in the CoMo Group, Department of Chemical Engineering and Biotechnology. In addition to his work at the University of
  10. Computational Modelling Group: Publication AE-190-481-489

    https://como.ceb.cam.ac.uk/publications/AE-190-481-489/
    AE-190-481-489. Screening and techno-economic assessment of biomass-based power generation with CCS technologies to meet 2050 CO. ... Reference: Applied Energy 190, 481-489, (2017). Highlights. Techno-economics of 8 Biopower CCS technologies ranging from
  11. Computational Modelling Group: News item 108

    https://como.ceb.cam.ac.uk/news/108/
    th. May 2013 in Cambridge. This conference focuses on the scientific developments and techno-economic issues related to realisation of biomass (both co-fired and dedicated) based power generation both with
  12. Computational Modelling Group: Ning Xiao

    https://como.ceb.cam.ac.uk/people/nx201/
    My research project is to develop the systematic level in algal biodiesel technology generated from renewable energy resources and assess the economic feasibility of the technology.
  13. Computational Modelling Group: Preprint 216

    https://como.ceb.cam.ac.uk/preprints/216/
    Highlights. Economic feasibility study of using algae and biochar burial strategies to offset carbon emission from the use of conventional fossil-derived transport fuels. ... Abstract. This work presents an economic feasibility study of using algae and
  14. Computational Modelling Group: News item 151

    https://como.ceb.cam.ac.uk/news/151/
    The results indicate that the proposed approach can achieve significant economic benefits.
  15. Computational Modelling Group: Min Loon Yong

    https://como.ceb.cam.ac.uk/people/mly22/
    Min Loon Yong. Min Loon Yong. MPhil Student. Research Themes. Recent Preprints. 119:Tom Harris, Tim Helme,and Markus Kraft, Technical Report 119, c4e-Preprint Series, Cambridge, 2012. Click here for a full list ››. Recent Publications. Tom
  16. Computational Modelling Group: Preprint 305

    https://como.ceb.cam.ac.uk/preprints/305/
    Highlights. Techno economic modelling of wind farm co-located ESS attachments. Emissions reductions and economic impacts determined via imbalance market data.
  17. Computational Modelling Group: Benjamin Taylor's Publications

    https://como.ceb.cam.ac.uk/publications/bjt36/
    Benjamin Taylor. Full List of Publications co-authored by Benjamin Taylor. Number of publications listed in category: 2. 2014. and Markus Kraft, Bioresource Technology (BITE) 151, 166-173, (2014). 2013. Tom Harris, Tim Helme,and Markus Kraft,
  18. Computational Modelling Group: News item 161

    https://como.ceb.cam.ac.uk/news/161/
    The orchestration of these novel technologies, so-called cyber-physical systems (CPS), provides further, synergetic effects that increase efficiency of energy provision and industrial production thereby optimising economic feasibility and
  19. Computational Modelling Group: Preprint 126

    https://como.ceb.cam.ac.uk/preprints/126/
    Abstract. We present a techno-economic assessment of algae-derived biodiesel under economic and technical uncertainties currently associated with the development of algal biorefineries.
  20. Computational Modelling Group: Andrew Smallbone's Publications

    https://como.ceb.cam.ac.uk/publications/ajs265/
    Andrew Smallbone. Full List of Publications co-authored by Andrew Smallbone. Number of publications listed in category: 22. 2017. Richard H.S. Taylor, Paul Fennell, William R. Livingston, Nilay Shah, Niall Mac Dowell, John S. Dennis, Markus Kraft,
  21. Computational Modelling Group: John Atherton

    https://como.ceb.cam.ac.uk/people/ja685/
    Bachelor of Economics, University of Queensland, Australia. John Atherton has a background in electrical, power, software, data and chemical engineering and project management.
  22. Computational Modelling Group: Preprint 248

    https://como.ceb.cam.ac.uk/preprints/248/
    The orchestration of these novel technologies, so-called cyber-physical systems (CPS), provides further, synergetic effects that increase efficiency of energy provision and industrial production, thereby optimising economic feasibility and
  23. Computational Modelling Group: Andrew Smallbone's Preprints

    https://como.ceb.cam.ac.uk/preprints/ajs265/
    Andrew Smallbone. Full List of Preprints co-authored by Andrew Smallbone. 146:Richard H.S. Taylor, Paul Fennell, William R. Livingston, Nilay Shah, Niall Mac Dowell, John S. Dennis, Markus Kraft, Mohammed Pourkashanian, Mathieu Insa, Jenny Jones,
  24. Computational Modelling Group: Preprint 260

    https://como.ceb.cam.ac.uk/preprints/260/
    Thus, due to CCGT generators typically being closer to larger southern loads than northern coal, transmission losses and the economic disincentive of a carbon tax combine in encouraging this transition.
  25. 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.
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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,
  34. 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.
  35. 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.
  36. 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
  37. 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.
  38. Computational Modelling Group: Amit Bhave's Publications

    https://como.ceb.cam.ac.uk/publications/ab349/
    Amit Bhave. Full List of Publications co-authored by Amit Bhave. Number of publications listed in category: 34. International Collaboration: Mainstreaming Artificial Intelligence and Cyberphysical Systems for Carbon Neutrality. Thorsten Jelinek,
  39. Computational Modelling Group: Preprint 164

    https://como.ceb.cam.ac.uk/preprints/164/
    energy networks) at the top EIP level with the boundary conditions of economic, social and legal requirements.
  40. Computational Modelling Group: Ning Xiao's Publications

    https://como.ceb.cam.ac.uk/publications/nx201/
    Ning Xiao. Full List of Publications co-authored by Ning Xiao. Number of publications listed in category: 1. 2013. Tom Harris, Tim Helme,and Markus Kraft, Applied Energy 106, 262-274, (2013). 2024 Computational Modelling Group. Department of
  41. Computational Modelling Group: Min Loon Yong's Publications

    https://como.ceb.cam.ac.uk/publications/mly22/
    Min Loon Yong. Full List of Publications co-authored by Min Loon Yong. Number of publications listed in category: 1. 2013. Tom Harris, Tim Helme,and Markus Kraft, Applied Energy 106, 262-274, (2013). 2024 Computational Modelling Group. Department of
  42. Computational Modelling Group: News item 172

    https://como.ceb.cam.ac.uk/news/172/
    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.
  43. Computational Modelling Group: Publication EES-13-744-771

    https://como.ceb.cam.ac.uk/publications/EES-13-744-771/
    The orchestration of these novel technologies, so-called cyber-physical systems (CPS), provides further, synergetic effects that increase efficiency of energy provision and industrial production, thereby optimising economic feasibility and
  44. Computational Modelling Group: Pooya Azadi's Publications

    https://como.ceb.cam.ac.uk/publications/pa360/
    Pooya Azadi. Full List of Publications co-authored by Pooya Azadi. Number of publications listed in category: 5. 2015. Immanuel Kemp, Sebastian Mosbach, John S. Dennis, and Markus Kraft, ChemCatChem (CCtC) 7(1), 137-143, (2015). and Markus Kraft,
  45. Computational Modelling Group: Janusz Sikorski's Preprints

    https://como.ceb.cam.ac.uk/preprints/js918/
    Janusz Sikorski. Full List of Preprints co-authored by Janusz Sikorski. 203:Mei Qi Lim, Sushant S. Garud, Johannes Neukäufer, and Markus Kraft, Technical Report 203, c4e-Preprint Series, Cambridge, 2018. 184: Machine learning approach for
  46. Computational Modelling Group: Janusz Sikorski's Publications

    https://como.ceb.cam.ac.uk/publications/js918/
    Janusz Sikorski. Full List of Publications co-authored by Janusz Sikorski. Number of publications listed in category: 9. 2019. Mei Qi Lim, Sushant S. Garud, Johannes Neukäufer, and Markus Kraft, Industrial & Engineering Chemistry Research 58(8),
  47. Computational Modelling Group: Publication EES-16-4020-4040

    https://como.ceb.cam.ac.uk/publications/EES-16-4020-4040/
    Reference: Energy & Environmental Science 16, 4020-4040, (2023). Highlights. Techno economic modelling of wind farm co-located ESS attachments. ... Emissions reductions and economic impacts determined via imbalance market data. Developed supporting
  48. Computational Modelling Group: Publication EfCE-33-36-44

    https://como.ceb.cam.ac.uk/publications/EfCE-33-36-44/
    2. combustion. Use of economic constraints to close an open-ended problem was highly valued by users. ... The characteristics embedded in the experiments include the use of economic analysis to give closure to open-ended problems, the solution of
  49. Computational Modelling Group: Publication IECR-58-3072-3081

    https://como.ceb.cam.ac.uk/publications/IECR-58-3072-3081/
    overall economics on the entity. ... This study is part of a holistic endeavor that applies cyber-physical systems to optimize eco-industrial parks so that energy use and emissions are minimized while economic output is maximized.
  50. Computational Modelling Group: Publication DP-5-6-

    https://como.ceb.cam.ac.uk/publications/DP-5-6-/
    Building on this opportunity, 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 aid
  51. Computational Modelling Group: Publication AiAE-2-100024-

    https://como.ceb.cam.ac.uk/publications/AiAE-2-100024-/
    Optimal renewable subsidy can effectively promote renewable acceptance. An economic two-phase pathway is recommended for city-level decarbonization. ... Hence, we recommend an economic two-phase decarbonization pathway, namely first increasing renewable

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