BIM, IoT, and Data Mining Integration Framework for Improving Green Building Energy Resilience
Publication: Computing in Civil Engineering 2023
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.
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Information & Authors
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Published In
Computing in Civil Engineering 2023
Pages: 109 - 115
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Architectural engineering
- Artificial intelligence and machine learning
- Building information modeling
- Building management
- Buildings
- Business management
- Computer networks
- Computer programming
- Computing in civil engineering
- Data collection
- Energy efficiency
- Energy engineering
- Energy sources (by type)
- Engineering fundamentals
- Green buildings
- Internet
- Methodology (by type)
- Practice and Profession
- Renewable energy
- Research methods (by type)
- Structural engineering
- Structures (by type)
- Sustainable development
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