Analysis on Deduction of Energy-IT Convergence Technologies by the Analytic Hierarchy Process 


Vol. 35,  No. 7, pp. 1091-1097, Jul.  2010


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  Abstract

Energy and environment problem has been arisen and become one of the major concerns all over the world, due to scarce energy resources and inefficient energy consumption. Recently, energy-IT(EIT) convergence technology has been getting more attention, being expected to be one of key technologies to resolve the problem, and R&D projects on various areas of EIT convergence technologies have been launched in many countries on a large scale. Korea government and companies have also been interested in the development of EIT technologies, however, the scopes of technology areas are limited to just a small part such as smart grid technology. This paper investigates effectiveness of each EIT convergence technology and deduces EIT convergence technologies using AHP(Analytic Hierarchy Process). It is expected that our research could be meaningful information supporting policies on R&D projects of EIT convergence technologies promoted to save energy and strengthen the national competitiveness. Our research results show that the EIT convergence technology area of green building would be the most effective EIT convergence technology except smart grid, and network-based energy management system would be the most effective amongst the sub-areas of green building.

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  Cite this article

[IEEE Style]

N. Oh and H. Kim, "Analysis on Deduction of Energy-IT Convergence Technologies by the Analytic Hierarchy Process," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 7, pp. 1091-1097, 2010. DOI: .

[ACM Style]

Namgul Oh and Hoon Kim. 2010. Analysis on Deduction of Energy-IT Convergence Technologies by the Analytic Hierarchy Process. The Journal of Korean Institute of Communications and Information Sciences, 35, 7, (2010), 1091-1097. DOI: .

[KICS Style]

Namgul Oh and Hoon Kim, "Analysis on Deduction of Energy-IT Convergence Technologies by the Analytic Hierarchy Process," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 7, pp. 1091-1097, 7. 2010.