Search

Search Funnelback University

Search powered by Funnelback
81 - 100 of 353 search results for Economics test |u:como.ceb.cam.ac.uk where 34 match all words and 319 match some words.
  1. Results that match 1 of 2 words

  2. Computational Modelling Group: Publication EaA-6-100106-

    https://como.ceb.cam.ac.uk/publications/EaA-6-100106-/
    We comprehensively evaluated, repaired and refined an existing CityGML ontology to produce an improved version that could pass the necessary tests and complete unit test development.
  3. Computational Modelling Group: Neal Morgan's Preprints

    https://como.ceb.cam.ac.uk/preprints/nmm22/
    Neal Morgan. Full List of Preprints co-authored by Neal Morgan. 259:Alastair Smith,and Markus Kraft, Technical Report 259, c4e-Preprint Series, Cambridge, 2020. 228:Alastair Smith,and Markus Kraft, Technical Report 228, c4e-Preprint Series, Cambridge
  4. Computational Modelling Group: Publication CCE-108-276-288

    https://como.ceb.cam.ac.uk/publications/CCE-108-276-288/
    Reference: Computers & Chemical Engineering 108, 276-288, (2018). Highlights. Extensive numerical evaluation of smart sampling algorithm (SSA) is performed using a diverse test bed of analytical functions. ... 2017a) for constructing multidimensional
  5. Computational Modelling Group: Publication JoCP-256-615-629

    https://como.ceb.cam.ac.uk/publications/JoCP-256-615-629/
    Full-coupling to the gas-phase is achieved through operator-splitting. The convergence of the stochastic particle algorithm in test networks is evaluated as a function of network size, recycle fraction ... These test cases are used to identify methods
  6. Computational Modelling Group: Publication JoAS-162-105957-

    https://como.ceb.cam.ac.uk/publications/JoAS-162-105957-/
    Tests show that solid particles of 10 nm and larger can be reliably counted. ... The new technology was validated in chassis dyno tests and on the real road.
  7. 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.
  8. Computational Modelling Group: Publication JoCP-397-108799-

    https://como.ceb.cam.ac.uk/publications/JoCP-397-108799-/
    Convergence behaviour investigated for a batch reactor test case. Experimental hot-wall reactor simulated. ... A numerical study is performed by simulating a simple batch reactor test case to investigate the convergence behaviour of key functionals with
  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 CaF-187-105-121

    https://como.ceb.cam.ac.uk/publications/CaF-187-105-121/
    Method is applied to test cases from organic and inorganic chemistry, including transition metal complexes. ... The application of the framework is demonstrated for test cases from organic and inorganic chemistry, including transition metal complexes.
  11. 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
  12. Computational Modelling Group: CFD

    https://como.ceb.cam.ac.uk/research/cfd/spraydrying/
    Model validation conducted using a hierarchy of test geometries; the most sophisticated being a generic spray drying tower (pictured left).
  13. Computational Modelling Group: Publication CCE-96-103-114

    https://como.ceb.cam.ac.uk/publications/CCE-96-103-114/
    Our technique outperforms uniform, random, and Sobol sampling on 1-variable test problems. ... Our extensive numerical evaluations using 1-variable test problems suggest that our SSA performs the best, when its initial sample points are generated using
  14. Computational Modelling Group: Publication CES-59-3865-3881

    https://como.ceb.cam.ac.uk/publications/CES-59-3865-3881/
    Numerical investigation of the performance of the two algorithms is carried out by applying them both to a test case, for which an analytical solution is calculated. ... The new algorithm, MFA, exhibits significant variance reduction and therefore
  15. 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,
  16. Computational Modelling Group: Publication NC-15-462-

    https://como.ceb.cam.ac.uk/publications/NC-15-462-/
    graph. We employ ontologies to capture data and material flows in design-make-test-analyse cycles, utilising autonomous agents as executable knowledge components to carry out the experimentation workflow.
  17. 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
  18. Computational Modelling Group: Publication CES-61-158-166

    https://como.ceb.cam.ac.uk/publications/CES-61-158-166/
    This paper also contains the results of a test simulation which examines the stochastic algorithm under various simple starting conditions and determines its convergence properties.
  19. 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.
  20. 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 overā€estimation of 2.3-13.7% in system economic performance.
  21. Computational Modelling Group: Automated Lab

    https://como.ceb.cam.ac.uk/research/weblabs/old/
    Exercises. The courses on Process Dynamics & Control and Reactors are accompanied by exercises that are extended activities, undertaken individually, designed to test the students' knowledge of ideas covered in lectures.

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.