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Detection and introduction of emerging technologies for green buildings in Thailand

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  • Tanunya Visessonchok
  • Masahiro Sugiyama
  • Hajime Sasaki
  • Ichiro Sakata

Abstract

Energy efficiency in Thailand remains low despite the escalating energy consumption. Moreover, Thailand's energy security situation is risky and unsustainable due to its large proportion of energy import and heavy dependency on natural gas for electricity generation. In this paper, a comprehensive citation-based approach employing academic and patent data are utilised in order to detect the emerging technologies for green buildings in tropical countries like Thailand. Rapidly growing and overlapping areas of paper and patent clusters have been identified as emerging technologies. As a result, the clusters related to solar cooling have been identified as a promising technology that satisfies the two conditions. Solar cooling possesses great potential since it closely fits the environment in Thailand where there is abundant sunlight all year round and air conditioning consumes roughly half of the total electrical usage.

Suggested Citation

  • Tanunya Visessonchok & Masahiro Sugiyama & Hajime Sasaki & Ichiro Sakata, 2016. "Detection and introduction of emerging technologies for green buildings in Thailand," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 12(1), pages 2-19.
    • Handle: RePEc:ids:ijetpo:v:12:y:2016:i:1:p:2-19
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    References listed on IDEAS

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    4. Zhai, X.Q. & Qu, M. & Li, Yue. & Wang, R.Z., 2011. "A review for research and new design options of solar absorption cooling systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4416-4423.
    5. Balaras, Constantinos A. & Grossman, Gershon & Henning, Hans-Martin & Infante Ferreira, Carlos A. & Podesser, Erich & Wang, Lei & Wiemken, Edo, 2007. "Solar air conditioning in Europe--an overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(2), pages 299-314, February.
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    Cited by:

    1. WANG, La-yin & ZHAO, Dong, 2021. "Cross-domain function analysis and trend study in Chinese construction industry based on patent semantic analysis," Technological Forecasting and Social Change, Elsevier, vol. 162(C).

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