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  2. Simulating combustion of practical fuels and blends for modern engine …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-94.pdf
    1 May 2019: 3.4 Results. The model and experimental pressure-crank angle data at Operating Points (OP) 1 and 7are presented in Figure 2. ... However, at OP 3 and4, the computations of the 75 TRF blend demonstrated to have the poorest performancenoted in the study.
  3. Exploiting arbitrage opportunities on commodity futures market as a…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-203.pdf
    1 May 2019: The programme searches for op-portunities to make additional profit by analysing the futures market prices for boththe reagent and the product. ... Finally, dry airis used to remove water from the product. The simulation is solved for steady-state
  4. PAH-PP

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-87.pdf
    1 May 2019: This is not surprising because the model has been op-timized specifically to fit the median.
  5. Identifying optimal operating points in terms of engineering…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-118.pdf
    1 May 2019: The model was successfully validated against 46 steady state op-erating points in terms of in-cylinder pressure and exhaust gas emissions over a threedimensional matrix comprising ranges of EGR, boost
  6. A Detailed Chemistry Simulation of the SI-HCCI Transition

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-88.pdf
    1 May 2019: The modelis initially calibrated in both modes using steady state data from SI and HCCI op-eration.
  7. Automated IC engine model development with uncertainty propagation

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-91.pdf
    1 May 2019: 1 2 - 0.41. 6 Discussion. The example demonstrates the power of automating data storage, retrieval and model op-timization to reduce the man-hours required to tune models to large
  8. A Fast Detailed-Chemistry Modelling Approach for Simulating the…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-89.pdf
    1 May 2019: 3. The transition between SI and HCCI is even more taxing to model, and the different op-erating modes produce unusual temperatures, pressures and compositions at IVC in eachcycle and cylinder
  9. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-181.pdf
    1 May 2019: 4.1 Applying advanced mathematical modelling methods to describe and op-timize the biodiesel producing process. ... The op-timized operating parameters can be utilized to guide the real-site producing via a controlsystem.
  10. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-164.pdf
    1 May 2019: approaches to describe each level op-eration, (3) developing efficient methodologies for solving optimisation problems atdifferent EIP levels, (4) considering symbiotic relations among the three networks(material, water and energy networks)
  11. Using timescale analysis for optimising large chemical kinetic…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-112.pdf
    1 May 2019: The op-timised kinetic mechanism was compared against a wide range of shock tube data sets.Error analysis showed the optimised mechanism had better prediction capabilities thanthe original one.
  12. Cambridge Centre forComputational Chemical Engineering University of…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-28.pdf
    1 May 2019: kv = c5. satisfactorily approximates the experimental results for the whole range of the op-erational conditions.
  13. The Linear Process Deferment Algorithm: A new technique for solving…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-26.pdf
    1 May 2019: poisson processses. 40%. Figure 5: % of execution time spent on different tasks - op split. ... Figure6compares the zeroth and second moments of the mass distribution obtained with LPDAto the DSA precision run and to the op split 10 run.
  14. Global sensitivity analysis of a model for silicon nanoparticle…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-141.pdf
    1 May 2019: In its original development, systematic parameter estimation was used to op-timise the model’s seven parameters with respect to experimental data across a rangeof different process conditions.
  15. Microkinetic Modeling of Fischer-Tropsch Synthesis over Cobalt…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-145.pdf
    1 May 2019: A two-stage parame-ter estimation method, based on a quasi-random global search followed by a local op-timization [4, 16, 17], has been utilized to systematically calculate suitable values
  16. Modelling gas-phase synthesis of single-walled carbon nanotubes on…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-44.pdf
    1 May 2019: A multivariate population balance solver coupled to the gas-phase chemistry using op-erator splitting [5] was used.
  17. First-principles thermochemistry for gas phase species in an…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-97.pdf
    1 May 2019: 15. taining carbon necessarily and the elements chlorine, and/or oxygen, and/or titanium op-tionally, and adds these to an existing thermochemistry file for species manually collectedfrom other databases (as
  18. Paper1.dvi

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-25.pdf
    1 May 2019: 12. 4 Numerical Results. In this section we test the implementation of the algorithm and discuss resultsobtained from simulating premixed flames with varying properties, such as the op-erating pressure and
  19. 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: The latter op-tion, on the other hand, has been found to be a feasible solution at both small and largescales.
  20. Learning based Evolutionary Assitive Paradigm for Surrogate Selection …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-197.pdf
    1 May 2019: For every system, a user needs to solve an op-timization problem that guides surrogate selection.
  21. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-189.pdf
    1 May 2019: An ontology framework for information modeling and management of eco-industrial parks. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. An ontology framework for information modelingand management of
  22. Evaluating Smart Sampling for Construction of Multidimensional…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-185.pdf
    1 May 2019: Although the latter strategies aim at the op-timal sample placement, the literature suggests that such approaches are employed onlywith kriging surrogate due to its ready availability of the error estimate.
  23. An agent composition framework for the J-Park Simulator - a knowledge …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-227.pdf
    14 May 2019: An agent composition framework for the J-Park Simulator - a knowledge graph for the process industry. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. An agent composition framework for the J-ParkSimulator - a
  24. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-221.pdf
    1 May 2019: Preprint No. 221. Keywords: Eco Industrial Park, Modular nuclear power plant, Placement algorithm, Multi objective op-timisation,.
  25. Detailed Population Balance Modelling of TiO2 Synthesis in an…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-176.pdf
    1 May 2019: Yapp et al. [53] used a detailed population balance to compute the op-tical band gap of polycyclic aromatic hydrocarbons in an ethylene diffusion flame.
  26. Incorporating experimental uncertainties into multivariate…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-66.pdf
    1 May 2019: Butobviously there is a problem with set 5 and its model prediction after applying the op-timisation procedure in which a new set of model parameters is found and the a
  27. HCCI Combustion Control Using Dual-Fuel Approach: Experimental and…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-114.pdf
    1 May 2019: However, the original mechanism (i.e. before op-timization) exhibited significant over-prediction of pressure throughout the reactive partof the closed-volume cycle.
  28. On the parameterisation of process flow sheet models

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-166.pdf
    1 May 2019: the polymer industry for the design, op-eration, and optimisation of safe, profitable manufacturing facilities [5].
  29. 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: emissions. The LCA and global sensitivity results presented here, clearly indicate that, even under op-timistic scenarios, the dry extraction routes would not be able to realise the environmentalbenefits of algae,
  30. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-168.pdf
    1 May 2019: A moment projection method for population balance dynamics with a shrinkage term. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. A moment projection method for populationbalance dynamics with a shrinkage term.
  31. First-principles thermochemistry for the production of TiO2 from TiCl4

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-42.pdf
    1 May 2019: Sco. tt H. -op. tim. ised. Scalin. g F. acto. r.
  32. Quantitative tools for cultivating symbiosis in industrial parks; a…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-152.pdf
    1 May 2019: plant of 15 processes was divided into three geographic zones and then op-timized using load tables and pinch analysis. ... 150] where a MILP model was proposed tooptimize retrofitting an IP, including additional piping and waste treatment facilities,
  33. Design of Computer Experiments: A Review

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-182.pdf
    1 May 2019: Finally, we provide several potential op-portunities for future modern DoE research. ... Genetic Algorithm,ESE: Enhanced Stochastic Evolutionary, BB: Branch and Bound, ILS: Itera-tive Local Search, TP: Translational Propagation, QLHD: Quasi-LHD,
  34. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-198.pdf
    1 May 2019: Bivariate extension of the moment projection method for the particle population balance dynamics. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. Bivariate extension of the moment projectionmethod for the
  35. Techno-economic assessment of carbon-negative algal biodiesel for…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-119.pdf
    1 May 2019: Techno-economic assessment of carbon-negative algal biodiesel for transport solutions. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. Techno-economic assessment of carbon-negativealgal biodiesel for transport
  36. Evolution of the soot particle size distribution along the centreline …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-206.pdf
    1 May 2019: The purpose of this study is to provide a comprehensive dataset of soot PSDs (as op-posed to averaged sizes or volume fractions) inside a well-defined liquid-fueled co-flowdiffusion

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