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1 - 50 of 138 search results for Economics lesson |u:como.ceb.cam.ac.uk where 10 match all words and 128 match some words.
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  2. Weblabs_pressrelease2_final

    https://como.ceb.cam.ac.uk/media/resources/Weblabs_pressrelease.pdf
    15 Nov 2023: It is likely that interest will spread around Europe and the rest of the world as successful use of the system yields great educational and economic benefits. ... The first phase of The Cambridge-MIT Institute is now complete and the lessons learned are
  3. The Conundrum in Smart City Governance: Interoperability and…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-287.pdf
    22 Dec 2021: 5.1 Lessons from existing practices. 15. 5.2 System vs. Semantic Digital Twin. ... 14. 5 Reflecting on Current Digital Twin Practices. 5.1 Lessons from existing practices.
  4. The slow engagement of planning scholars with BIM-GIS-Semantic…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-296.pdf
    26 Jul 2022: Wealso reviewed and selected journals only if the journal’s scope encompassed the economic,environmental, social, and technological aspects of urban phenomena in cities. ... historical national energy consumption to understandthe relationship between
  5. Dynamic Control of District Heating Networks with Integrated Emission …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-319.pdf
    7 Feb 2024: development of intelligent infrastructure and modelling approaches [3, 41, 94].Solutions for this inherently interdisciplinary transition require holistic consideration ofsocial, economic, environmental, and engineering factors across various
  6. Quantitative tools for cultivating symbiosis in industrial parks; a…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-152.pdf
    1 May 2019: 12. optimize total economic benefits. Utility networks, typically comprised of steam, water and electric, have also been studiedand optimised. ... Oliveira and Antunes[138] employed economic input-output LCA (EIO-LCA) to construct a model based
  7. British Imbalance Market Paradox: Variable Renewable Energy…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-301.pdf
    11 Jan 2023: The idea of ‘The Renewable EnergyPolicy Paradox’ was dubbed in an economic analysis the role of (dispatchable) fossil fuelgeneration in compensating for the inflexibility of VRE [9]. ... type to be displaced (froma techno-economic modelling
  8. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-248.pdf
    4 Feb 2020: 4.1 Economic and environmental impact assessment. 32. 4.2 Energy security implications. ... 1, thus undermining the economics of fossil fuelpower plants in competitive electricity markets.
  9. OntoKin: An Ontology for Chemical Kinetic Reaction Mechanisms

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-218.pdf
    1 May 2019: Eco-industrial park initiatives in the usaand the netherlands: first lessons. Journal of Cleaner Production, 12(8):985 – 995,2004. ... Lindrooth. Eco-industrialparks: a case study and analysis of economic, environmental, technical and regu-latory issues
  10. National Digital Twin of the UK – a knowledge-graph approach

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-264.pdf
    1 Mar 2021: The challenges posed by climate change are inherently interdisciplinary. The develop-ment of solutions requires the consideration of economic, engineering, environmental,and social factors [44, 77, 96] over a range of ... Whatare the environmental,
  11. A chemical species ontology for data integration and knowledge…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-306.pdf
    16 May 2023: e. acute toxicity, flash point for risk of igni-tion). 4. Economic considerations (e.g.
  12. Results that match 1 of 2 words

  13. 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.
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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.
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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.
  24. 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
  25. 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.
  26. 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
  27. 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.
  28. 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,
  29. 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
  30. 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.
  31. 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.
  32. 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,
  33. 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
  34. 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
  35. 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,
  36. 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.
  37. 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.
  38. 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.
  39. 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
  40. 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
  41. 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
  42. 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,
  43. 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
  44. 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
  45. 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
  46. 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.
  47. 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.
  48. 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.
  49. Computational Modelling Group: Preprint 324

    https://como.ceb.cam.ac.uk/preprints/324/
    Three practical international options to unlock Chile’s potential are discussed. Further technical-economic assessment of these energy-transition acceleration paths is recommended.
  50. 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,
  51. 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.
  52. 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

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