Integration of internet of things (IoT) technology in the design model of sustainable green building spaces
Yuchen Wang (),
Lu Liu (),
Shubham Sharma (),
Fuad A. Awwad,
M. Ijaz Khan and
Emad A. A. Ismail
Additional contact information
Yuchen Wang: ShanDong Management University
Lu Liu: ShanDong Management University
Shubham Sharma: Lebanese American University
Fuad A. Awwad: King Saud University
M. Ijaz Khan: Lebanese American University
Emad A. A. Ismail: King Saud University
Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 12, No 93, 32189-32216
Abstract:
Abstract As people’s understanding of sustainable development continues to deepen, green buildings have become the focus of social attention. In a country like China with a large population and limited resources, environmental problems are becoming increasingly serious. To improve this situation, we need to maximize social and economic benefits while protecting the ecological environment. Green buildings must meet the characteristics of the times and consumer needs, considering comfort and sustainability. In order to construct/propose this green building, an internet of things technology model was adopted, and data mining algorithms with comprehensive evaluation methods were used to determine the optimal value and minimum standard deviation. Through comparative analysis, the indoor environment carbon dioxide content designed by this green building model is below 500/ppm, and the volatile compound content is 78 μg/m3, which shows that the indoor air quality of this green building can achieve a more efficient performance. As the renewability, durability and recyclability indexes of green buildings are all above 0.5; the data accuracy of the algorithm is between 0.94 and 0.99, the algorithm robustness is between 0.7 and 0.78, and the running time is 4–5 s.
Keywords: Internet of things technology; Sustainable green development; Architectural space; Space design (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-024-04968-w
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