A new approach for developing a hybrid sun-tracking method of the intelligent photovoltaic blinds considering the weather condition using data mining technique

Hyuna Kang, Taehoon Hong, Minhyun Lee

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


As a part of technology innovation in the building sector, an intelligent photovoltaic blind (i-PB) with direct and indirect sun-tracking methods were previously developed by this research team. Due to the shadows on the tightly aligned slats of the i-PB, however, there is a difference in the electricity according to the weather and sun-tracking method. Accordingly, this study aimed to develop a hybrid sun-tracking method of the i-PB, which can determine the sun-tracking method with highest electricity generation between the two sun-tracking methods according to the weather. To this end, this study proposed a new approach for developing a hybrid sun-tracking method by selecting the main climate factors and their threshold using data mining technique. As a result of the experimental study conducted in South Korea, a hybrid sun-tracking method in autumn was developed. To ensure the effectiveness of the new approach, a real-time sun-tracking system was developed and used for the experimental validation. As a result, the hybrid sun-tracking method showed the highest electricity generation (i.e., 97.3 Wh/m2) among the three sun-tracking methods, and 84.9% prediction accuracy. The proposed approach can provide a more comprehensive solution by maximizing the advantages of each sun-tracking method and minimizing its weaknesses.

Original languageEnglish
Article number109708
JournalEnergy and Buildings
Publication statusPublished - 15 Feb 2020


  • Climate factor
  • Data-mining techniques
  • Decision tree (DT)
  • Efficiency of electricity generation
  • Hybrid sun-tracking method
  • Photovoltaic blind (PB)

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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