BIM, IoT, and data mining integration framework for improving green building energy resilience

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Green buildings (GB) aim to minimize the environmental impact of construction and operation activities. The adoption of building information modeling (BIM), the Internet of Things (IoT), and data mining (DM) presents promising opportunities for managing GBs with high energy efficiency. However, research on integrating these digital technologies to enhance GB energy resilience requires further improvement. This study reviews the applications of these three digital technologies in GB. Subsequently, an integration framework is constructed using semantic technologies to enable data exchange among BIM, IoT, and DM. Additionally, this paper illustrates how digital technologies can improve energy resilience in GB. Finally, the limitations and challenges of enhancing GB energy resilience are discussed. This research provides valuable insights into the practical application of digital technologies to advance energy efficiency in GBs. The proposed conceptual integration framework is a foundation for a digital solution that improves GB energy resilience.

Original languageEnglish
Title of host publicationComputing in Civil Engineering 2023
Subtitle of host publicationData, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
EditorsYelda Turkan, Joseph Louis, Fernanda Leite, Semiha Ergan
PublisherAmerican Society of Civil Engineers (ASCE)
Pages109-115
Number of pages7
ISBN (Electronic)9780784485224
DOIs
Publication statusPublished - 2024
EventASCE International Conference on Computing in Civil Engineering 2023: Data, Sensing, and Analytics, i3CE 2023 - Corvallis, United States
Duration: 25 Jun 202328 Jun 2023

Publication series

NameComputing in Civil Engineering 2023: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023

Conference

ConferenceASCE International Conference on Computing in Civil Engineering 2023: Data, Sensing, and Analytics, i3CE 2023
Country/TerritoryUnited States
CityCorvallis
Period25/06/2328/06/23

Keywords

  • BIM
  • Data mining
  • Energy resilience
  • Green buildings
  • Integration framework
  • IoT

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