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2023 | OriginalPaper | Buchkapitel

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

verfasst von : Cheng Siew Goh, Hey Yee Wang

Erschienen in: Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate

Verlag: Springer Nature Singapore

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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.

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Literatur
1.
Zurück zum Zitat Abioye, S.O., et al.: Artificial intelligence in the construction industry: a review of present status, opportunities and future challenges. J. Build. Eng. 44, 103299 (2021)CrossRef Abioye, S.O., et al.: Artificial intelligence in the construction industry: a review of present status, opportunities and future challenges. J. Build. Eng. 44, 103299 (2021)CrossRef
2.
Zurück zum Zitat Mohamed, M.A., Ahmad, A.B., Mohamad, D.: The implementation of artificial intelligence (AI) in the Malaysia construction industry. In: AIP Conference Proceedings, vol. 2339, no. 1, p. 020136. AIP Publishing LLC, May 2021 Mohamed, M.A., Ahmad, A.B., Mohamad, D.: The implementation of artificial intelligence (AI) in the Malaysia construction industry. In: AIP Conference Proceedings, vol. 2339, no. 1, p. 020136. AIP Publishing LLC, May 2021
3.
Zurück zum Zitat Xiang, Y., Chen, Y., Xu, J., Chen, Z.: Research on sustainability evaluation of green building engineering based on artificial intelligence and energy consumption. Energy Rep. 8, 11378–11391 (2022)CrossRef Xiang, Y., Chen, Y., Xu, J., Chen, Z.: Research on sustainability evaluation of green building engineering based on artificial intelligence and energy consumption. Energy Rep. 8, 11378–11391 (2022)CrossRef
4.
Zurück zum Zitat Kar, A.K., Choudhary, S.K., Singh, V.K.: How can artificial intelligence impact sustainability: a systematic literature review. J. Clean. Prod. 134120 (2022) Kar, A.K., Choudhary, S.K., Singh, V.K.: How can artificial intelligence impact sustainability: a systematic literature review. J. Clean. Prod. 134120 (2022)
5.
Zurück zum Zitat Baduge, S.K., et al.: Artificial intelligence and smart vision for building and construction 4.0: machine and deep learning methods and applications. Autom. Constr. 141, 104440 (2022) Baduge, S.K., et al.: Artificial intelligence and smart vision for building and construction 4.0: machine and deep learning methods and applications. Autom. Constr. 141, 104440 (2022)
7.
Zurück zum Zitat Haenlein, M., Kaplan, A.: A brief history of artificial intelligence: on the past, present, and future of artificial intelligence. Calif. Manag. Rev. 61(4), 5–14 (2019)CrossRef Haenlein, M., Kaplan, A.: A brief history of artificial intelligence: on the past, present, and future of artificial intelligence. Calif. Manag. Rev. 61(4), 5–14 (2019)CrossRef
8.
Zurück zum Zitat Ahmad, T., et al.: Artificial intelligence in sustainable energy industry: status Quo, challenges and opportunities. J. Clean. Prod. 289, 125834 (2021)CrossRef Ahmad, T., et al.: Artificial intelligence in sustainable energy industry: status Quo, challenges and opportunities. J. Clean. Prod. 289, 125834 (2021)CrossRef
9.
Zurück zum Zitat Cheng, C.C., Lee, D.: Artificial intelligence-assisted heating ventilation and air conditioning control and the unmet demand for sensors: part 1. Problem formulation and the hypothesis. Sensors 19(5), 1131 (2019)CrossRef Cheng, C.C., Lee, D.: Artificial intelligence-assisted heating ventilation and air conditioning control and the unmet demand for sensors: part 1. Problem formulation and the hypothesis. Sensors 19(5), 1131 (2019)CrossRef
10.
Zurück zum Zitat Mirinejad, H., Welch, K.C., Spicer, L.: A review of intelligent control techniques in HVAC systems. IEEE Energytech 2012, 1–5 (2012) Mirinejad, H., Welch, K.C., Spicer, L.: A review of intelligent control techniques in HVAC systems. IEEE Energytech 2012, 1–5 (2012)
11.
Zurück zum Zitat Alcalá, R., Alcalá-Fdez, J., Gacto, M.J., Herrera, F.: Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems. Appl. Intell. 31(1), 15–30 (2009)CrossRef Alcalá, R., Alcalá-Fdez, J., Gacto, M.J., Herrera, F.: Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems. Appl. Intell. 31(1), 15–30 (2009)CrossRef
12.
Zurück zum Zitat He, X., Zhang, Z., Kusiak, A.: Performance optimization of HVAC systems with computational intelligence algorithms. Energy Build. 81, 371–380 (2014)CrossRef He, X., Zhang, Z., Kusiak, A.: Performance optimization of HVAC systems with computational intelligence algorithms. Energy Build. 81, 371–380 (2014)CrossRef
13.
Zurück zum Zitat Wang, H., He, W.: A reservation-based smart parking system. In: 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 690–695. IEEE, April 2011 Wang, H., He, W.: A reservation-based smart parking system. In: 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 690–695. IEEE, April 2011
14.
Zurück zum Zitat Ruili, J., Haocong, W., Han, W., O’Connell, E., McGrath, S.: Smart parking system using image processing and artificial intelligence. In: 2018 12th International Conference on Sensing Technology (ICST), pp. 232–235. IEEE, December 2018 Ruili, J., Haocong, W., Han, W., O’Connell, E., McGrath, S.: Smart parking system using image processing and artificial intelligence. In: 2018 12th International Conference on Sensing Technology (ICST), pp. 232–235. IEEE, December 2018
15.
Zurück zum Zitat Souza de Castro, L.F., Vaz Alves, G., Pinz Borges, A.: Using trust degree for agents in order to assign spots in a Smart Parking (2017) Souza de Castro, L.F., Vaz Alves, G., Pinz Borges, A.: Using trust degree for agents in order to assign spots in a Smart Parking (2017)
16.
Zurück zum Zitat Kumar, P., Gupta, A., Nalwa, K., Kumar, M., Bharadwaj, A., Adithya, M.: Intelligent multilevel car parking system using RFID. Int. J. Simul. Syst. Sci. Technol. 16(3), 14–21 (2015) Kumar, P., Gupta, A., Nalwa, K., Kumar, M., Bharadwaj, A., Adithya, M.: Intelligent multilevel car parking system using RFID. Int. J. Simul. Syst. Sci. Technol. 16(3), 14–21 (2015)
17.
Zurück zum Zitat Hossain, M.M., Fotouhi, M., Hasan, R.: Towards an analysis of security issues, challenges, and open problems in the internet of things. In: 2015 IEEE World Congress on Services, pp. 21–28. IEEE, June 2015 Hossain, M.M., Fotouhi, M., Hasan, R.: Towards an analysis of security issues, challenges, and open problems in the internet of things. In: 2015 IEEE World Congress on Services, pp. 21–28. IEEE, June 2015
18.
Zurück zum Zitat Artem, K., Vasyl, T.: Structure and model of the smart house security system using machine learning methods. In: 2017 2nd International Conference on Advanced Information and Communication Technologies (AICT), pp. 105–108. IEEE, July 2017 Artem, K., Vasyl, T.: Structure and model of the smart house security system using machine learning methods. In: 2017 2nd International Conference on Advanced Information and Communication Technologies (AICT), pp. 105–108. IEEE, July 2017
19.
Zurück zum Zitat Liang, Y.H., Tian, W.M.: Multi-sensor fusion approach for fire alarm using BP neural network. In: 2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS), pp. 99–102. IEEE, September 2016 Liang, Y.H., Tian, W.M.: Multi-sensor fusion approach for fire alarm using BP neural network. In: 2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS), pp. 99–102. IEEE, September 2016
20.
Zurück zum Zitat Li, J., Yang, X., Sitzenfrei, R.: Rethinking the framework of smart water system: a review. Water 12(2), 412 (2020)CrossRef Li, J., Yang, X., Sitzenfrei, R.: Rethinking the framework of smart water system: a review. Water 12(2), 412 (2020)CrossRef
21.
Zurück zum Zitat Hope, R., Foster, T., Money, A., Rouse, M., Money, N., Thomas, M.: Smart Water Systems, Project report to UK DFID, April 2011. Oxford University, Oxford (2011) Hope, R., Foster, T., Money, A., Rouse, M., Money, N., Thomas, M.: Smart Water Systems, Project report to UK DFID, April 2011. Oxford University, Oxford (2011)
22.
Zurück zum Zitat Kim, K.G.: Development of an integrated smart water grid model as a portfolio of climate smart cities. J. Smart Cities 3(1), 23–34 (2019) Kim, K.G.: Development of an integrated smart water grid model as a portfolio of climate smart cities. J. Smart Cities 3(1), 23–34 (2019)
23.
Zurück zum Zitat Nguyen, K.A., Sahin, O., Stewart, R.A., Zhang, H.: Smart technologies in reducing carbon emission: artificial intelligence and smart water meter. In: Proceedings of the 9th International Conference On Machine Learning And Computing, pp. 517–522 (2017) Nguyen, K.A., Sahin, O., Stewart, R.A., Zhang, H.: Smart technologies in reducing carbon emission: artificial intelligence and smart water meter. In: Proceedings of the 9th International Conference On Machine Learning And Computing, pp. 517–522 (2017)
24.
Zurück zum Zitat Sanz, G., Pérez, R., Escobet, A.: Leakage localization in water networks using fuzzy logic. In: 2012 20th Mediterranean Conference on Control & Automation (MED), pp. 646–651. IEEE, July 2012 Sanz, G., Pérez, R., Escobet, A.: Leakage localization in water networks using fuzzy logic. In: 2012 20th Mediterranean Conference on Control & Automation (MED), pp. 646–651. IEEE, July 2012
Metadaten
Titel
Applications of Artificial Intelligence Enabled Systems in Buildings for Optimised Sustainability Performance
verfasst von
Cheng Siew Goh
Hey Yee Wang
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-3626-7_32