Public Building Energy Efficiency - An IoT Approach

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 806)


Buildings play an important role in energy consumption, mainly in the operation phase. Current development on IoT allows implementing sustainable actions in building towards savings, identify consumption patterns and relate consumption with space usage. Comfort parameters can be defined, and a set of services can be implemented toward the goals of saving energy and water. This approach can be replicated in most buildings and considerable savings can be achieved thus contributing to a more sustainable world without negative impact on building users’ comfort.


IoT Sensors Sustainability Building efficiency Energy 


  1. 1.
    Sretenovic, A.: Analysis of energy use at the university campus. Ph.D. thesis, Norwegian University of Science and Technology, Trondheim (2013)Google Scholar
  2. 2.
    Mongiovi, L.G., Cristaldi, L., Tironi, E., Bua, F., Liziero, M., Frattini, G., Martirano, L.: Architectural criteria for a distributed energy monitoring system. In: 2017 IEEE International Conference on Environment and Electrical Eng and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), Milan, Italy, pp. 1–6. IEEE (2017)Google Scholar
  3. 3.
    Leal Filho, W.: Sustainability at Universities: Opportunities, Challenges, and Trends, 1st edn. P. Lang, UK (2009)Google Scholar
  4. 4.
    Wong, N.H., Kardinal Jusuf, S., Aung La Win, A., Kyaw Thu, H., Syatia Negara, T., Xuchao, W.: Environmental study of the impact of greenery in an institutional campus in the tropics. Build. Environ. 42(8), 2949–2970 (2007)CrossRefGoogle Scholar
  5. 5.
    Kolokotsa, D., Gobakis, K., Papantoniou, S., Georgatou, C., Kampelis, N., Kalaitzakis, K., Santamouris, M.: Development of a web based energy management system for university campuses: the CAMP-IT platform. Energy Build. 123, 119–135 (2016)CrossRefGoogle Scholar
  6. 6.
    Venetoulis, J.: Assessing the ecological impact of a university. IJSHE Int. J. Sustain. High. Educ. 2(2), 180–196 (2001)CrossRefGoogle Scholar
  7. 7.
    Mattoni, B., Pagliaro, F., Corona, G., Ponzo, V., Bisegna, F., Gugliermetti, F., Quintero-Nunez, M.: A matrix approach to identify and choose efficient strategies to develop the smart campus. In: 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), Florence, Italy, pp. 1–6. IEEE (2016)Google Scholar
  8. 8.
  9. 9.
  10. 10.
    Gouveia, C., Rua, D., Soares, F.J., Moreira, C., Matos, P.G., Lopes, J.A.P.: Development and implementation of Portuguese smart distribution system. Electr. Power Syst. Res. 120, 150–162 (2015)CrossRefGoogle Scholar
  11. 11.
    Mendes, R.C.: Smart City Oeiras: O rumo a um concelho verdadeiramente inteligente. Ph.D. thesis, Universidade Atlântica, Lisbon (2016)Google Scholar
  12. 12.
    Columbus, L.: Roundup of IoT Forecasts and Market Estimates. Forbes (2016)Google Scholar
  13. 13.
    Smart Campus Solution for Education—Huawei solutions. Accessed 5 Jan 2018
  14. 14.
  15. 15.
    European Commission: CORDIS: Projects and Results: SMART CAMPUS - Building-User Learning Interaction for Energy Efficiency. Accessed 5 Jan 2018
  16. 16.
    EC - funded Smart Campus project achieves 30% in energy savings. Accessed 5 Jan 2018
  17. 17.
    Raza, U., Kulkarni, P., Sooriyabandara, M.: Low power wide area networks: an overview (2016)Google Scholar
  18. 18.
    Node Red. Accessed 6 Jan 2018
  19. 19.
    Taylor, L., Watkins, S.L., Marshall, H., Dascombe, B.J., Foster, J.: The impact of different environmental conditions on cognitive function: a focused review. Front. Physiol. 6, 372 (2015)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR-IULLisbonPortugal

Personalised recommendations