Skip to main content

Building Sustainable Changing Infrastructure – Smart Solutions

  • Chapter
  • First Online:
AI-Powered IoT in the Energy Industry

Part of the book series: Power Systems ((POWSYS))

  • 296 Accesses

Abstract

This chapter intends to explore the necessity of sustainable infrastructure and the key factors affecting sustainability. Sustainable infrastructure constructs the environment to be crucial for society’s survival, health, and comfort. The environment comprises engineering works, buildings, transports, power production facilities, wastewater and water treatment plants, storm water management systems, and even natural systems such as rivers and harbors. The infrastructure systems provide the structures required for the operation of society and facilitate access to goods and services. The demand for infrastructure is rising in tandem with population growth and urbanization structure. The increasing population consumes a large volume of materials and energy to upgrade themselves and their infrastructure. The rising urbanism is adopting the updated information and communication technology (ICT) to transform cities into smart cities. More infrastructure results in some vulnerable effects that create unsustainable burdens. However, more solutions must be implemented at the local level. This study addresses the fundamental science of sustainability, various obstacles inherent in the ICT transformation, recommendations for diplomats, innovators, researchers, scientists, project developers, sponsors, traders, allied stakeholders, and faculties to reach the sustainable infrastructure based on the review of similar works.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Gbadamosi A-Q, Oyedele L, Mahamadu A-M, Kusimo H, Olawale O. The role of internet of thing in delivering smart construction. C.B World building congress, Hong Kong SAR, China; 2019, 17–21 June.

    Google Scholar 

  2. Ahamed MV, Mour Shed M, Rezgui Y. Tree-based ensemble methods for predicting PV power generation and comparison with support vector regressing. Energy. 2018;164:465–74.

    Article  Google Scholar 

  3. Bonoli A, Di Fusco E, Zanni S, Lauriola I, Ciriello V, Di Federi V. Green smart technology for water (GST4Water): life cycle analysis of urban water consumption. Water. 2019;2019(11):389. https://doi.org/10.3390/w11020389.

    Article  Google Scholar 

  4. Espinosa AV, Lopez JL, Mata FM, Estevez ME. Application of IoT in healthcare: keys to implementation of the sustainable development goals. Sensors (Basel). 2021;21(7):2330.

    Article  Google Scholar 

  5. Blanco-Novoa O, Fernan Dez-Carames TM, Fraga-Lamas P, Castedo L. A cost effective IoT system for monitoring indoor randon gas concentration. Sensors (Basel). 2018;18(7):2198.

    Article  Google Scholar 

  6. Chen K, Lu W, Peng Y, Rowlinson S, Huang GQ. Bridging BIM and building: from a literature review to an integrated conceptual framework. Int J Proj Manag. 2015;33(6):1405 1416.

    Article  Google Scholar 

  7. Cunningham WP, Cunningham MA, Saigo BW. Environmental Science; a Global Concern. 9th ed. Boston: McGraw-Hill Higher Education; 2004.

    Google Scholar 

  8. Koo D, Piratla K, John Mathews C. Towards sustainable water supply: schematic development of big data collection using Internet of Things (IoT). Int Conf Sustain Des Eng Construc Proc Eng. 2015;118:489–97.

    Google Scholar 

  9. De-La-Hoz-Franco E, Ariza-Colpas P, Quero JM, Espinilla M. Sensor based datasets for human activity recognition. A systematic review of literature. IEEE Access. 2018;6:59192–210.

    Article  Google Scholar 

  10. Dikshit RD. Geography and teaching of the environment: a review of suggestion. Transactions. 1985;IIG 7(2):198.

    Google Scholar 

  11. Dwyer EO, Pan I, Acha S, Shah N. Smart energy system for sustainable smart cities: Current developments, trends and future directions. Appl energy. 2018;237:581.

    Google Scholar 

  12. Fukuda S. Japan’s policy on smart community. Technical report, Agency for natural resources and energy, METI, 2015.

    Google Scholar 

  13. Ramos HM, McNabola A, Amparo PL-J, Perez-Sanchez M. Smart water management towards future water sustainable networks. Water. 2020;12:58.

    Article  Google Scholar 

  14. Lund H, Zinck J, Tellufsen SA, Kim B, Nielsen WS, et al. Heat saving strategies in sustainable smart energy system. In: Conference. Institute for planning, Aalborg University; 2014. p. 1–34.

    Google Scholar 

  15. Zhou H, Wang H, Zeng W. Smart construction site in mega construction projects: a case study on island tunnelling project of Hong Kong – Zhuhai Macao Bridge. Front Eng Mang. 2018;5(1):78–87.

    Google Scholar 

  16. Kawakami T, Ly BLN, Takeuchi S, Teranishi Y, Harumoto K, Nishio S. Distributed sensor information management architecture based on semantic analysis of sensing data. Paper presented at the Applications and the Internet, 2008. SAINT 2008. pp. 353–356, 2008.

    Google Scholar 

  17. Kevern JT, ASCE AM. Green building and sustainable infrastructure: sustainability education for civil engineers. Sustainability education in civil and environmental engineering. ASCE J Prof Pract Eng Educ Pract. 2011;137:107–12. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000048.

    Article  Google Scholar 

  18. Kim H, Lee HS, Park M, Chung B, Hwang S. Automated hazardous area identification using labourers’ actual and optimal routes. Autom Constr. 2016;65:21–32.

    Article  Google Scholar 

  19. Koing M, Dimbek J, Stankovski V. Architecture of an open knowledge base for sustainable buildings based on linked data technologies. Autom Constr. 2013;35:542–50.

    Article  Google Scholar 

  20. Luciani C, Casellato F, Alvisi S, Franchini M. From water consumptions smart metering to leakage characterization at district and user-level: the GST4Water project. In: Proceedings of the 3rd EWaS international conference on insights on the water-energy-food Nexus, Lefkada Island, Greece, 27–30 June 2018; 2018.

    Google Scholar 

  21. Rosen MA. Energy sustainability: a pragmatic approach and illustrations. Sustainability. 2009;1:55–80.

    Article  Google Scholar 

  22. Stefanic M, Stankovski V. A review of technologies and applications for smart construction. Proc Instit Civil Eng. 2017;172(2):83–7.

    Article  Google Scholar 

  23. Kejriwal M. IoT drives sustainable development and the bottom line, TechTarget, Explore IoT use cases that improve sustainability. Article 1, 2021.

    Google Scholar 

  24. Missaoui R, Joumaa H, Ploix S, Bacha S. Managing energy-smart homes according to energy prices: analysis of a building energy management system. Energ Buildings. 2014;71:155–67.

    Article  Google Scholar 

  25. Mohsenian-Rad AH, Leon Garcia A. Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Trans Smart Grid. 2010;1(2):120–33.

    Article  Google Scholar 

  26. Pawar P, Tarunkumar M, Panduranga Vital K. An IoT based intelligence smart energy management system with accurate forecasting and load strategy for renewable generation. Measurement. 2020;152:1071587.

    Article  Google Scholar 

  27. Reason J. Human error: models and Management. BM J. 2000;320(7237):768–70.

    Article  Google Scholar 

  28. Ren W, Wu Z. Real-time anti-collision system for mobile cranes during lift operations. J Comput Civ Eng. 2014;29(6):04014100.

    Article  Google Scholar 

  29. Edirisinghe R. Digital skin of the construction site smart sensor technologies towards the future smart construction site. Eng Constr Archit Manag. 2019;26(2):184–223.

    Article  Google Scholar 

  30. Sehar F, Pipattanasomporn M, Rahman S. Integrated automation for optimal demand management in commercial building considering occupant comfort. Sustain Cities. 2017;28:16–29.

    Article  Google Scholar 

  31. Seog-Chan O, Alfred J. Hildreth. Analytics for smart energy management. Ed. Duc Truong Pham. Birmingham: Springer; 2016.

    Google Scholar 

  32. Shorfuzzaman M, Hossain MS, Alhamid MF. Towards the sustainable development of smart cities through man video surveillance: a response to the COVID-19 pandemic, sustainable cities and society. Sustain Cities Soc. 2021;64:Article 102582.

    Article  Google Scholar 

  33. Singh R, Dubey A. Environmental management: some new dimensions. In: Environmental Management. Allahabad Geographical Society; 1983. p. 72–86.

    Google Scholar 

  34. Sung C, Kim PY. 3D terrain reconstruction of construction sites using a stereo camera. Autom Constr. 2015;64:65–77.

    Article  Google Scholar 

  35. Mishra S, Thakkar HK, Mallick PK, Tiwari P, Alamri A. A sustainable IoHT based computationally intelligent health care monitoring system for lung cancer risk detection. Sustain Cities Soc. 2021;72:103079.

    Article  Google Scholar 

  36. Tanaka K, Uida K, Ogimi K, Goya T, Yona A, Senjyu, et al. Optimal operation by controllable loads based on smart grid topology considering insolation forecasted error. IEEE Trans Smart Grid. 2011;2(3):438–44.

    Article  Google Scholar 

  37. Teizer J, Caldas CHH, C.T. Real-time three dimensional occupancy grid modelling for the detection and tracking of construction resources. J Constr Eng Manag. 2007;133(11):880–8.

    Article  Google Scholar 

  38. Woo DS, Kim SH, Shin SH, Kim JH, Jung JT, Choi GW. Water treatment process settings according to blending alternative resources in Smart Water Grid Research in Korea. In: Proceedings of the Smart Water Grid international conference 2013, Incheon, Korea, 12–14 November 2013 [CD-ROM]; Smart Water Grid Research Group: Incheon, Korea; 2013.

    Google Scholar 

  39. Yang HT, Huang CM, Huang YC, Pai YS. A weather-based hybrid method for 1 day ahead hourly forecasting of Pv power output. IEEE Trans Sustain Energy. 2014;5(3):917–26.

    Article  Google Scholar 

  40. Fujimoto Y, Ishii H, Hayashi Y. Designing sustainable smart cities: cooperative energy management systems and applications. IEEE Trans Electr Electron Eng. 2020;15:1256–70.

    Article  Google Scholar 

  41. Zhao A, Lee WC, Shin Y, Song KB. An optimal power scheduling method for demand response in home energy management system. IEEE Trans Smart Grid. 2013;4(3):1391–400.

    Article  Google Scholar 

  42. Yang Z, Wang Y, Sun C. Emerging information technology acceptance model for the development of smart construction system. J Civ Eng Manag. 2018;24(6):457–68.

    Article  Google Scholar 

  43. Davis, FD. A technology acceptance model for empirically testing new end-user information systems: Theory and results. (Doctoral dissertation), Massachusetts Institute of Technology. 1985. Retrieved from DSpace@MIT Database. (Accession No. 14927137)

    Google Scholar 

  44. Abdelhamid, T. and Everett, J. Idetifying root causesof constructions accidents. Journal of Construction Engineering and Management, ASCE. 2000;126:52-60.

    Google Scholar 

  45. Niu, G., Li, Y.P., Huang, G.H., Liu, J. and Fan, Y.R. Crop planning and water resource alocation for sustainable development of an irrigation region in China under multiple uncertainties. Agricultural Water Management. 2016;166:53–69.

    Google Scholar 

  46. Seongjoon Byeon, Gyewoon Choi, seungjin Maeng, Philippe and Gourbesville. Sustainable water distribution strategy with smart water grid. Sustainability, 2015;7(4):4240–4259.

    Google Scholar 

  47. Hauser, A. Risks for smart water applications: Rigorous risk assessment of the adoption of smart water applications. In Proceedings of the 2013 ISA water/wastewater and auotomate controls symposim, Orlando, FL, USA. 6 August 2013.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Karthigai Selvi, S., Nagaraja, P., Gayathri, S.P., Genish, T. (2023). Building Sustainable Changing Infrastructure – Smart Solutions. In: Vijayalakshmi, S., ., S., Balusamy, B., Dhanaraj, R.K. (eds) AI-Powered IoT in the Energy Industry. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-031-15044-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-15044-9_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15043-2

  • Online ISBN: 978-3-031-15044-9

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics