Technology diffusion and forecasting: The case of computational fluid dynamics (CFD) for simulation of greenhouse Internal environments

Leon Pretorius, Siebert Benade, Sunita Kruger

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)27-39
Number of pages13
JournalInternational Journal of Innovation and Technology Management
Volume8
Issue number1
DOIs
Publication statusPublished - Mar 2011
Externally publishedYes

Keywords

  • Bass diffusion model
  • bibliometric analysis
  • CFD
  • flow fields
  • greenhouse
  • management of technology

ASJC Scopus subject areas

  • Management of Technology and Innovation

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