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Technology Diffusion And Forecasting: The Case Of Computational Fluid Dynamics (Cfd) For Simulation Of Greenhouse Internal Environments

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Author Info

  • LEON PRETORIUS

    ()
    (Department of Engineering and Technology Management, Graduate School of Technology Management, University of Pretoria, South Africa)

  • SIEBERT BENADE

    ()
    (Department of Mechanical Engineering Science, University of Johannesburg, South Africa)

  • SUNITA KRUGER

    ()
    (Department of Engineering and Technology Management, Graduate School of Technology Management, University of Pretoria, South Africa)

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    Abstract

    Forecasting emerging technologies as well the rate of diffusion of resultant products are complex in the context of management of technology usually because of a lack of relevant data. Techniques such as bibliometric analysis and the Bass diffusion model are utilized in this paper to assess the growth rate and market penetration of computational fluid dynamics (CFD) as a technology. The penetration and growth rate of user acceptance of two CFD codes (not identified) are simulated. Furthermore, a technology forecasting model of research and innovation in the field of application of CFD in the assessment of greenhouses is presented. Some CFD results of simulations for internal and external flow in an eight-span greenhouse are presented as an illustration of the power of CFD as technology.

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    Bibliographic Info

    Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal International Journal of Innovation and Technology Management.

    Volume (Year): 08 (2011)
    Issue (Month): 01 ()
    Pages: 27-39

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    Handle: RePEc:wsi:ijitmx:v:08:y:2011:i:01:p:27-39

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    Related research

    Keywords: CFD; Bass diffusion model; bibliometric analysis; management of technology; greenhouse; flow fields;

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