Applications of Artificial Intelligence Enabled Systems in Buildings for Optimised Sustainability Performance

Cheng Siew Goh; Hey Yee Wang

doi:10.1007/978-981-99-3626-7_32

Applications of Artificial Intelligence Enabled Systems in Buildings for Optimised Sustainability Performance

Cheng Siew Goh^*, Hey Yee Wang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Downloads (Pure)

Abstract

The building and construction industry has been recognized to be stagnant and slow in the digital transformation. Artificial Intelligence (AI) is at the forefront of transformative information technology, and it offers competitive advantages to the construction industry to be more resilient and sustainable. Despite of this, there is a knowledge gap to identify how contemporary AI practice supports the decision making for creating sustainable buildings and cities. This paper aims to explore the main areas of AI applications in the built environment for delivering the goals of sustainable buildings and cities. A survey design method was used to investigate AI applications in the contemporary building practice. Surveys were distributed to 100 respondents working in AI technology or service providers by emails and online platforms. AI systems are adopted in the areas of HVAC, water management, smart parking systems, and security and alarm system. Smart vehicle parking system is identified as the main area with wider AI applications, followed by security and alarm system, water management system and HVAC systems. Smart water management systems are identified as a key opportunity area for AI adoptions in buildings and cities. AI enabled systems can improve the efficiency of resources management and optimize the energy efficiency in the built environment. The adoption of AI can assist governance of sustainable building and cities by analysing data and information of a building’s complexity and a city’s dynamics. Apart from the digital transformation, AI also helps to achieve significant contributions in delivering the goals of sustainable buildings and cities.

Original language	English
Title of host publication	Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate
Editors	Jing Li, Weisheng Lu, Yi Peng, Hongping Yuan, Daikun Wang
Place of Publication	Singapore
Publisher	Springer
Pages	405-416
Number of pages	12
Edition	1st
ISBN (Electronic)	9789819936267
ISBN (Print)	9789819936250
DOIs	https://doi.org/10.1007/978-981-99-3626-7_32
Publication status	Published - 8 Aug 2023
Externally published	Yes
Event	The 27th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM2022): Construction Management and Real Estate in the Post-Pandemic Age: Building Smart and Resilient Cities for Healthy Living - Hong Kong University of Science and Technology, Hong Kong Duration: 5 Dec 2022 → 6 Dec 2022 Conference number: 27 https://fac.arch.hku.hk/criocm/conference-2022/

Publication series

Name	Lecture Notes in Operations Research
Publisher	Springer
ISSN (Print)	2731-0418
ISSN (Electronic)	2731-040X

Conference

Conference	The 27th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM2022)
Abbreviated title	CRIOCM 2022
Country/Territory	Hong Kong
Period	5/12/22 → 6/12/22
Internet address	https://fac.arch.hku.hk/criocm/conference-2022/

Keywords

Artificial Intelligence
buildings
sustainability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-99-3626-7_32

CRIOCM2022Accepted author manuscript, 217 KB

Cite this

Goh, C. S., & Wang, H. Y. (2023). Applications of Artificial Intelligence Enabled Systems in Buildings for Optimised Sustainability Performance. In J. Li, W. Lu, Y. Peng, H. Yuan, & D. Wang (Eds.), Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate (1st ed., pp. 405-416). (Lecture Notes in Operations Research). Springer. https://doi.org/10.1007/978-981-99-3626-7_32

Goh, Cheng Siew ; Wang, Hey Yee. / Applications of Artificial Intelligence Enabled Systems in Buildings for Optimised Sustainability Performance. Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate. editor / Jing Li ; Weisheng Lu ; Yi Peng ; Hongping Yuan ; Daikun Wang. 1st. ed. Singapore : Springer, 2023. pp. 405-416 (Lecture Notes in Operations Research).

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title = "Applications of Artificial Intelligence Enabled Systems in Buildings for Optimised Sustainability Performance",

abstract = "The building and construction industry has been recognized to be stagnant and slow in the digital transformation. Artificial Intelligence (AI) is at the forefront of transformative information technology, and it offers competitive advantages to the construction industry to be more resilient and sustainable. Despite of this, there is a knowledge gap to identify how contemporary AI practice supports the decision making for creating sustainable buildings and cities. This paper aims to explore the main areas of AI applications in the built environment for delivering the goals of sustainable buildings and cities. A survey design method was used to investigate AI applications in the contemporary building practice. Surveys were distributed to 100 respondents working in AI technology or service providers by emails and online platforms. AI systems are adopted in the areas of HVAC, water management, smart parking systems, and security and alarm system. Smart vehicle parking system is identified as the main area with wider AI applications, followed by security and alarm system, water management system and HVAC systems. Smart water management systems are identified as a key opportunity area for AI adoptions in buildings and cities. AI enabled systems can improve the efficiency of resources management and optimize the energy efficiency in the built environment. The adoption of AI can assist governance of sustainable building and cities by analysing data and information of a building{\textquoteright}s complexity and a city{\textquoteright}s dynamics. Apart from the digital transformation, AI also helps to achieve significant contributions in delivering the goals of sustainable buildings and cities.",

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author = "Goh, {Cheng Siew} and Wang, {Hey Yee}",

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note = "The 27th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM2022) : Construction Management and Real Estate in the Post-Pandemic Age: Building Smart and Resilient Cities for Healthy Living, CRIOCM 2022 ; Conference date: 05-12-2022 Through 06-12-2022",

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Goh, CS & Wang, HY 2023, Applications of Artificial Intelligence Enabled Systems in Buildings for Optimised Sustainability Performance. in J Li, W Lu, Y Peng, H Yuan & D Wang (eds), Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate. 1st edn, Lecture Notes in Operations Research, Springer, Singapore, pp. 405-416, The 27th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM2022), Hong Kong, 5/12/22. https://doi.org/10.1007/978-981-99-3626-7_32

Applications of Artificial Intelligence Enabled Systems in Buildings for Optimised Sustainability Performance. / Goh, Cheng Siew; Wang, Hey Yee.
Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate. ed. / Jing Li; Weisheng Lu; Yi Peng; Hongping Yuan; Daikun Wang. 1st. ed. Singapore: Springer, 2023. p. 405-416 (Lecture Notes in Operations Research).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Goh CS, Wang HY. Applications of Artificial Intelligence Enabled Systems in Buildings for Optimised Sustainability Performance. In Li J, Lu W, Peng Y, Yuan H, Wang D, editors, Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate. 1st ed. Singapore: Springer. 2023. p. 405-416. (Lecture Notes in Operations Research). Epub 2023 Aug 5. doi: 10.1007/978-981-99-3626-7_32