TECHNOLOGY DIFFUSION AND FORECASTING: THE CASE OF COMPUTATIONAL FLUID DYNAMICS (CFD) FOR SIMULATION OF GREENHOUSE INTERNAL ENVIRONMENTS

Leon Pretorius (), Siebert Benade () and Sunita Kruger ()
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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

International Journal of Innovation and Technology Management (IJITM), 2011, vol. 08, issue 01, 27-39

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.

Keywords: CFD; Bass diffusion model; bibliometric analysis; management of technology; greenhouse; flow fields (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0219877011002209

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