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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 -
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 -
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: 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 -
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 -
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. -
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 -
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 -
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 -
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 -
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. -
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 -
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. -
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 -
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. -
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, -
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 -
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. -
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, -
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. -
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 -
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, -
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. -
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: 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: 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 -
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: 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 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 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: 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. -
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, -
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. -
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 -
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 -
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. -
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 -
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, -
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 -
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), -
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 -
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 -
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. -
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 -
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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