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  2. 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
  3. 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,
  4. 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
  5. 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
  6. 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),
  7. 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
  8. Computational Modelling Group: George Brownbridge's Publications

    https://como.ceb.cam.ac.uk/publications/gpeb2/
    George Brownbridge. Full List of Publications co-authored by George Brownbridge. Number of publications listed in category: 21. 2024. Michael Hillman, Mehal Agarwal, Srishti Ganguly, Jethro Akroyd, and Markus Kraft, Data-Centric Engineering 5, 14,
  9. 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
  10. 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
  11. Computational Modelling Group: Engines Preprints

    https://como.ceb.cam.ac.uk/preprints/engines/
    Engines. Full List of Preprints with a Engines theme. 298:Qiren Zhu, Yichen Zong, Jiawei Lai,Wenming Yang, and Markus Kraft, Technical Report 298, c4e-Preprint Series, Cambridge, 2022. 291:and Markus Kraft, Technical Report 291, c4e-Preprint Series,
  12. 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.
  13. 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
  14. Computational Modelling Group: Publication AE-175-305-323

    https://como.ceb.cam.ac.uk/publications/AE-175-305-323/
    energy networks) at the top EIP level with the boundary conditions of economic, social and legal requirements.
  15. Computational Modelling Group: Publication EP-75-1536-1541

    https://como.ceb.cam.ac.uk/publications/EP-75-1536-1541/
    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
  16. Computational Modelling Group: Publication E-1-100014-

    https://como.ceb.cam.ac.uk/publications/E-1-100014-/
    A techno-economic analysis provides a critical comparison of the levelized cost of hydrogen output via each of the four solar-to-hydrogen conversion pathways.
  17. 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.
  18. Computational Modelling Group: Publication AJ-66-17039-

    https://como.ceb.cam.ac.uk/publications/AJ-66-17039-/
    Moreover, we find that ignoring performance degradation leads to an over‐estimation of 2.3-13.7% in system economic performance.
  19. Screening and techno-economic assessment of biomass-based power…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-146.pdf
    1 May 2019: Screening and techno-economic assessment ofbiomass-based power generation with CCS. technologies to meet 2050 CO2 targets. ... Mass and energy balance calculations were used to evaluate the techno-economic output metrics (e.g.
  20. Computational Modelling Group: Publication AE-298-117117-

    https://como.ceb.cam.ac.uk/publications/AE-298-117117-/
    Primarily 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.
  21. Computational Modelling Group: Engines Publications

    https://como.ceb.cam.ac.uk/publications/engines/
    Engines. Full List of Publications with a Engines theme. Number of publications listed in category: 78. 2023. Qiren Zhu, Yichen Zong, Maurin Salamanca, Jiawei Lai, Jethro Akroyd, Wenming Yang, and Markus Kraft, Fuel 338, 127296, (2023). Effects of
  22. Computational Modelling Group: Publication RaSER-185-113591-

    https://como.ceb.cam.ac.uk/publications/RaSER-185-113591-/
    Recommendations for techno-economic and storage modelling. Abstract. The expansion of variable renewable energy (VRE) generation propagates numerous challenges for national energy systems.
  23. Computational Modelling Group: Publication IToICS-2-26-34

    https://como.ceb.cam.ac.uk/publications/IToICS-2-26-34/
    Electrification with renewables introduces complexity in systems in the deployment, integration, and efficient orchestration of electrified economic systems.
  24. Computational Modelling Group: Jethro Akroyd's Preprints

    https://como.ceb.cam.ac.uk/preprints/jwja2/
    Jethro Akroyd. Full List of Preprints co-authored by Jethro Akroyd. 324:and Markus Kraft, Technical Report 324, c4e-Preprint Series, Cambridge, 2024. 323:and Markus Kraft, Technical Report 323, c4e-Preprint Series, Cambridge, 2024. 322:Andrew Breeson
  25. Computational Modelling Group: Jethro Akroyd's Publications

    https://como.ceb.cam.ac.uk/publications/jwja2/
    Jethro Akroyd. Full List of Publications co-authored by Jethro Akroyd. Number of publications listed in category: 113. 2024. Yi-Kai Tsai, Magnus Müller, Karthik Nagarajan,and Markus Kraft, Energy and AI 17, 100376, (2024). and Markus Kraft, Energy
  26. Computational Modelling Group: Full Publication List

    https://como.ceb.cam.ac.uk/publications/full/
    Full Listing. Full List of the Computational Modelling Group's Publications. Number of publications listed in category: 365. 2024. Yi-Kai Tsai, Magnus Müller, Karthik Nagarajan,and Markus Kraft, Energy and AI 17, 100376, (2024). and Markus Kraft,
  27. Computational Modelling Group: Full Preprint List

    https://como.ceb.cam.ac.uk/preprints/full/
    Full Listing. Full List of the Computational Modelling Group's Preprints. 324:and Markus Kraft, Technical Report 324, c4e-Preprint Series, Cambridge, 2024. 323:and Markus Kraft, Technical Report 323, c4e-Preprint Series, Cambridge, 2024. 322:Andrew
  28. Computational Modelling Group: Markus Kraft's Publications

    https://como.ceb.cam.ac.uk/publications/mk306/
    Markus Kraft. Full List of Publications co-authored by Markus Kraft. Number of publications listed in category: 344. 2024. Yi-Kai Tsai, Magnus Müller, Karthik Nagarajan,and Markus Kraft, Energy and AI 17, 100376, (2024). and Markus Kraft, Energy
  29. Computational Modelling Group: Markus Kraft's Preprints

    https://como.ceb.cam.ac.uk/preprints/mk306/
    Markus Kraft. Full List of Preprints co-authored by Markus Kraft. 324:and Markus Kraft, Technical Report 324, c4e-Preprint Series, Cambridge, 2024. 323:and Markus Kraft, Technical Report 323, c4e-Preprint Series, Cambridge, 2024. 322:Andrew
  30. Weblab_follow_final

    https://como.ceb.cam.ac.uk/media/resources/Weblabs_pressrelease2.pdf
    15 Nov 2023: The first phase of The Cambridge-MIT Institute is now complete and the lessons learned are being captured and shared.
  31. Techno-economic assessment of carbon-negative algal biodiesel for…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-119.pdf
    1 May 2019: 12. 3.3 Techno-economic Model Development. 13. 3.4 Economics of Scale. 13. ... Under assumptions related to economics of scale, the techno-economic model was modified further at various industrial scales.
  32. The iLabs Shared Architecture and the Future of Web-based Laboratory…

    https://como.ceb.cam.ac.uk/media/resources/phil_bailey_ws.pdf
    15 Nov 2023: Benefits: EconomicBenefits: Economic. •• Share access to expensive equipmentShare access to expensive equipment. •• ... Benefits: Pedagogy. Benefits: Logistical. Benefits: Economic. The iLab Shared Architecture. WebLab Development Obstacles.
  33. An analysis of renewable energy resources and options for the energy…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-324.pdf
    1 Jul 2024: Three practical international options to unlock Chile’s potential are discussed.Further technical-economic assessment of these energy-transition acceleration pathsis recommended. ... Since then a few studies have critically analysed the Chilean energy
  34. Impact of heat pumps and future energy prices on regional inequalities

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-323.pdf
    4 Jun 2024: The availabilityof household-level data would offer granular insights into individual energy consumptionpatterns, home infrastructure quality, and socio-economic conditions. ... The Economic Journal, 99(397):720–738, 1989.doi:10.2307/2233767. [8]
  35. Sustainable operation of district heating systems using dynamic…

    https://como.ceb.cam.ac.uk/media/preprints/c4e_mh807_generation_optimisation.pdf
    6 Jul 2021: A short-term production optimisation has been investigatedby [42] by separating the unit commitment and the economic dispatch problem; how-ever, relevant heat load forecasts have been created manually.
  36. Universal Digital Twin – the impact of heat pumps on inequality

    https://como.ceb.cam.ac.uk/media/preprints/c4e-281.pdf
    28 Sep 2021: The UK has significant socio-economic inequalities. These can be measured in variousways. ... Disentangling the Brexit vote: The role of economic, social. and cultural contexts in explaining the UK’s EU referendum vote.
  37. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-150.pdf
    1 May 2019: The growth and development of Jurong Island currently does and will continue toplay a very important role to the overall economic growth of Singapore. ... The proposed EIP expertsystemâĂŹs aim is to answer important questions from stakeholders
  38. Algae under Uncertainty: The Future of the Algal Biodiesel Economy

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-126.pdf
    1 May 2019: Here, we briefly overview the primaryissues associated with the economic viability of algal biorefineries. ... scope, how these uncer-tainties affect the economic viability of such algal biorefineries.
  39. British Wind Farm Battery Attachments: Curtailment Reduction vs Price …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-305.pdf
    2 May 2023: 205.2 Emissions Change. 215.3 Site Recommendations. 23. 6 Discussion 256.1 Economic Performance. ... These results are used to determine the economic viability of wind farmco-located ESSs.
  40. An assessment of the viability of alternatives to biodiesel transport …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-216.pdf
    1 May 2019: Vermuë, and R. H. Wijffels. Microalgal pro-duction - A close look at the economics. ... M. L. Laurens. Microalgae as biodiesel & biomassfeedstocks: Review & analysis of the biochemistry, energetics & economics.
  41. Simulationm and Life Cycle Assessment of Algae Gasification Process…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-144.pdf
    1 May 2019: 2 World Economic Forum91-93 route de la CapiteGeneva, CH-1223 ColognySwitzerland. Preprint No. ... Kraft. “Thefuture viability of algae-derived biodiesel under economic and technical uncertain-ties”.
  42. A nuclear future? Small Modular Reactors in a carbon tax-driven…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-312.pdf
    21 Aug 2023: 3. The UK performed a techno-economic assessment of small modular reactors (SMRs) in2016 [14]. ... 45] to integrate climate, economic and socialfactors to reflect the long-term effects of climate change to support site selection.
  43. Embedding Energy Storage Systems into a Dynamic Knowledge Graph

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-280.pdf
    8 Sep 2021: However, this paper does not take into con-sideration the associated environmental and economic impact. ... Axioms 17 describe the technical aspects of ESSswhile Axioms 89 describe the economic aspects of ESSs.
  44. OPF Analysis of a Carbon Tax's Effect on Britain's Power…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-260.pdf
    11 Nov 2020: As such, a suitable solution to this necessity is to employ an economic dispatchmodel. ... full replacement at the economic dispatch replacement taxrate (65-66 GBP/tCO2, where even without transmission losses, CCGT becomes cheaper).
  45. Weblabs in Chemical Engineering Education

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-41.pdf
    1 May 2019: The ability to share experiments between different institutions drastically changesthe economics of providing laboratory experiments and, potentially, a huge number ofexperiments could be available for use, including experiments on expensive
  46. BIM-GIS Integration: Knowledge graphs in a world of data silos

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-311.pdf
    2 Nov 2023: For example, proprietaryformats perpetuate vendor lock-ins, which are beneficial for economic profits but dampensconsumer value [15, 28]. ... Consequently, these economic imperatives will causesuch silos to persist even as we become more aware of their
  47. Cambridge Centre forComputational Chemical Engineering University of…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-27.pdf
    1 May 2019: 1. 1 Introduction. Process control has increased in importance in the process industries over the pastdecades, driven by global competition, rapidly changing economic conditions, morestringent environmental and safety regulations, and the
  48. The Carbon Footprint and Non-Renewable Energy Demand of Algae-Derived …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-128.pdf
    1 May 2019: 2 cmcl innovationsSheraton HouseCastle ParkCambridge, CB3 0AXUnited Kingdom. 3 World Economic Forum91-93 route de la CapiteGeneva, CH-1223 ColognySwitzerland. ... This method has been previously applied to analyse the economic viability ofalgal biodiesel
  49. A Derived Information Framework for a Dynamic Knowledge Graph and its …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-302.pdf
    6 Feb 2023: Any approach to solving this problem can benefit from lessons learned in other fields. ... 4. The presentation of this paper is structured as follows. Section 2 situates the work bysummarising the lessons we learned through the development of a
  50. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-164.pdf
    1 May 2019: at the top EIP level with the boundary condi-tions of economic, social and legal requirements. ... in an EIP with the consideration of economic, social,and legal requirements as the boundary conditions.
  51. The World Avatar – a world model for facilitating interoperability

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-277.pdf
    3 Aug 2021: Singstat, 2020. URL https://www.singstat.gov.sg/. Accessed 22 October 2020. [24] Singapore Economic Development Board (EDB). ... 25] Singapore Economic Development Board (EDB). The Right Chemistry,2020. URL

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