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A Holistic Review of Building Energy Efficiency and Reduction Based on Big Data

Author

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  • Jeeyoung Lim

    (Department of Architectural Engineering, Pusan National University, Busan 46241, Korea)

  • Joseph J. Kim

    (Department of Civil Engineering and Construction Engineering Management, California State University Long Beach, Long Beach, CA 90840, USA)

  • Sunkuk Kim

    (Department of Architectural Engineering, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Korea)

Abstract

The construction industry is recognized as a major cause of environmental pollution, and it is important to quantify and evaluate building energy. As interest in big data has increased over the past 20 years, research using big data is active. However, the links and contents of much literature have not been summarized, and systematic literature studies are insufficient. The objective of this study was a holistic review of building energy efficiency/reduction based on big data. This review study used a holistic analysis approach method framework. As a result of the analysis, China, the Republic of Korea, and the USA had the most published papers, and the simulation and optimization area occupied the highest percentage with 33.33%. Most of the researched literature was papers after 2015, and it was analyzed because many countries introduced environmental policies after the 2015 UN Conference on Climate Change. This study can be helpful in understanding the current research progress to understand the latest trends and to set the direction for further research related to big data.

Suggested Citation

  • Jeeyoung Lim & Joseph J. Kim & Sunkuk Kim, 2021. "A Holistic Review of Building Energy Efficiency and Reduction Based on Big Data," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2273-:d:502299
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    References listed on IDEAS

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