Skip to main content

Enabling Buildings’ Comfort Using Context-Aware Technologies: A Systematic Review of the Literature

  • Conference paper
  • First Online:
Trends and Applications in Information Systems and Technologies (WorldCIST 2021)

Abstract

In the study reported by this paper a systematic review was performed to identify relevant applications supported by context-aware technologies with impact in the comfort of the buildings’ occupants. Sixteen studies presenting context-aware systems with diverse aims were retrieved: visual comfort (six articles); thermal comfort (three articles); and multiple perspective comfort (seven articles). The context-aware components are diverse and include a broad range of sensing devices (i.e., to collect the identity, location and activity of the occupants and the environment conditions), reasoning mechanisms, and devices to generate proper reactions to optimize the buildings’ comfort.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Darko, A., Zhang, C., Chan, A.P.: Drivers for green building: a review of empirical studies. Habitat Int. 60, 34–49 (2017)

    Article  Google Scholar 

  2. US Green Building Council: Building Momentum: National Trends and Prospects for High-Performance Green Buildings. US Green Building Council, Washington, DC (2003)

    Google Scholar 

  3. van Marken Lichtenbelt, W., et al.: Healthy excursions outside the thermal comfort zone. Build. Res. Inf. 45(7), 819–827 (2017)

    Article  Google Scholar 

  4. Dey, A.K.: Providing architectural support for building context-aware applications. Ph.D. thesis, College of Computing, Georgia Institute of Technology (2000)

    Google Scholar 

  5. Zhao, X., Zuo, J., Wu, G., Huang, C.: A bibliometric review of green building research 2000–2016. Archit. Sci. Rev. 62(1), 74–88 (2019)

    Article  Google Scholar 

  6. Soares, N., et al.: A review on current advances in the energy and environmental performance of buildings towards a more sustainable built environment. Renew. Sustain. Energy Rev. 77, 845–860 (2017)

    Article  Google Scholar 

  7. Jung, W., et al.: Human-in-the-loop HVAC operations: a quantitative review on occupancy, comfort, and energy-efficiency dimensions. Appl. Energy 239, 1471–1508 (2019)

    Article  Google Scholar 

  8. Marikyan, D., et al.: A systematic review of the smart home literature: a user perspective. Technol. Forecast. Soc. Chang. 138, 139–154 (2019)

    Article  Google Scholar 

  9. Carlucci, S., et al.: Modeling occupant behavior in buildings. Build. Environ. 174, 106768 (2020)

    Article  Google Scholar 

  10. Bavaresco, M.V., et al.: Technological innovations to assess and include the human dimension in the building-performance loop: a review. Energy Build. 202, 109365 (2019)

    Article  Google Scholar 

  11. Panchalingam, R., Chan, K.C.: A state-of-the-art review on artificial intelligence for smart buildings. Intell. Build. Int. 1–24 (2019)

    Google Scholar 

  12. Weiser, M.: The computer for the 21st century. Sci. Am. 265(3), 94–104 (1991)

    Article  Google Scholar 

  13. Spínola, R.O., et al.: Supporting requirements definition and quality assurance in ubiquitous software project. In: International Symposium on Leveraging Applications of Formal Methods Verification and Validation, pp. 587–603. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  14. Abowd, G.D., et al.: Towards a better understanding of context and context-awareness. In: International Symposium on Handheld and Ubiquitous Computing, pp. 304–307. Springer, Heidelberg (1999)

    Google Scholar 

  15. Schilit, B.N., Theimer, M.M.: Disseminating active map information to mobile hosts. IEEE Netw. 8(5), 22–32 (1994)

    Article  Google Scholar 

  16. Dey, A.K.: Context-aware computing: the CyberDesk project. In: Proceedings of the AAAI 1998 Spring Symposium on Intelligent Environments, pp. 51–54. Association for the Advancement of Artificial Intelligence (1998)

    Google Scholar 

  17. Pascoe, J.: Adding generic contextual capabilities to wearable computers. In: 2nd IEEE International Symposium on Wearable Computers, pp. 92–99. IEEE (1998)

    Google Scholar 

  18. Brown, P.J., Bovey, J.D., Chen, X.: Context-aware applications: from the laboratory to the marketplace. IEEE Pers. Commun. 4(5), 58–64 (1997)

    Article  Google Scholar 

  19. Perera, C., et al.: Context aware computing for the Internet of Things: a survey. IEEE Commun. Surv. Tutor. 16(1), 414–454 (2013)

    Article  Google Scholar 

  20. Dey, A.K., et al.: Towards a better understanding of context and context-awareness. In: Workshop on the What, Who, Where, When and How of Context-Awareness, Affiliated with the 2000 ACM Conference on Human Factors in Computer Systems. ACM (2000)

    Google Scholar 

  21. Barkhuus, L., Dey, A.: Is context-aware computing taking control away from the user? Three levels of interactivity examined. In: International Conference on Ubiquitous Computing, pp. 149–156. Springer, Heidelberg (2003)

    Google Scholar 

  22. Dong, B., Lam, K.P.: Building energy and comfort management through occupant behaviour pattern detection based on a large-scale environmental sensor network. J. Build. Perform. Simul. 4(4), 359–369 (2011)

    Article  Google Scholar 

  23. Lee, H., Wu, C., Aghajan, H.: Vision-based user-centric light control for smart environments. Pervasive Mob. Comput. 7(2), 223–240 (2011)

    Article  Google Scholar 

  24. Lee, S., et al.: Occupancy prediction algorithms for thermostat control systems using mobile devices. IEEE Trans. Smart Grid 4(3), 1332–1340 (2013)

    Article  Google Scholar 

  25. Lee, H.S., Kwon, S.Y., Lim, J.H.: A development of a lighting control system based on context-awareness for the improvement of learning efficiency in classroom. Wirel. Pers. Commun. 86(1), 165–181 (2016)

    Article  Google Scholar 

  26. Kim, Y.J., Kwon, S.Y., Lim, J.H.: Design and implementation of the natural light reproduction system based on context awareness in WSN. Int. J. Distrib. Sens. Netw. 11(9), 781584 (2015)

    Article  Google Scholar 

  27. Lu, C.H., et al.: Context-aware energy saving system with multiple comfort-constrained optimization in M2M-based home environment. IEEE Trans. Autom. Sci. Eng. 14(3), 1400–1414 (2015)

    Article  Google Scholar 

  28. Spoladore, D., et al.: ComfOnt: a semantic framework for indoor comfort and energy saving in smart homes. Electronics 8(12), 1449 (2019)

    Article  Google Scholar 

  29. Degha, H.E., et al.: Intelligent context-awareness system for energy efficiency in smart building based on ontology. Sustain. Comput.: Inform. Syst. 21, 212–233 (2019)

    Google Scholar 

  30. Malavazos, C., et al.: Combined visual comfort and energy efficiency through true personalization of automated lighting control. In: 2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS), pp. 1–7. IEEE (2015)

    Google Scholar 

  31. Kamienski, C., et al.: Context-aware energy efficiency management for smart buildings. In: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), pp. 699–704. IEEE (2015)

    Google Scholar 

  32. Putri, G.A.A., Nugroho, L.E.: Context modeling for intelligent building energy aware. In: International Conference on Smart Green Technology in Electrical and Information Systems (ICSGTEIS), pp. 161–166. IEEE (2016)

    Google Scholar 

  33. Yin, X., Keoh, S.L.: Personalized ambience: an integration of learning model and intelligent lighting control. In: 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), pp. 666–671. IEEE (2016)

    Google Scholar 

  34. Marche, C., Nitti, M., Pilloni, V.: Energy efficiency in smart building: a comfort aware approach based on Social Internet of Things. In: 2017 Global Internet of Things Summit (GIoTS), pp. 1–6. IEEE (2017)

    Google Scholar 

  35. Meurer, R.S., et al.: Ambient intelligence for the Internet of Things through context-awareness. In: International Symposium on Rapid System Prototyping (RSP), pp. 83–89. IEEE (2018)

    Google Scholar 

  36. Aryal, A., et al.: Smart IoT desk for personalizing indoor environmental conditions. In: 8th International Conference on the Internet of Things, pp. 1–6. ACM (2018)

    Google Scholar 

  37. Mughal, S., et al.: Context-aware indoor environment monitoring and plant prediction using wireless sensor network. In: International Conference for Emerging Technologies in Computing, pp. 149–163. Springer, Cham. (2019)

    Google Scholar 

Download references

Acknowledgments

The present study was developed in the scope of the Smart Green Homes Project [POCI-01-0247 FEDER-007678] and was partially supported by National Funds through FCT – Fundação para a Ciência e a Tecnologia, I.P., under the project UI IEETA: UID/CEC/00127/2020.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nelson Pacheco Rocha .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Martins, A.I., Lima, A.C.O., Bartolomeu, P., Mouzinho, L.F., Ferreira, J., Rocha, N.P. (2021). Enabling Buildings’ Comfort Using Context-Aware Technologies: A Systematic Review of the Literature. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies . WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1367. Springer, Cham. https://doi.org/10.1007/978-3-030-72660-7_57

Download citation

Publish with us

Policies and ethics