Abstract
The resources used to maintain all the activities in buildings are limited and, for this reason, it is critical the usage of energy efficiency measures. This paper is focused on a smart controller development able to automatically manage a building with the objective of improving its energy efficiency. The controller uses Artificial Neural Networks (ANN) as a forecast method and Fuzzy Logic Control (FLC) as a decision maker. The thermal house model is simulated using a MATLAB toolbox. One of the sub controllers is developed in this paper and is responsible for the HVAC control and optimization. The developed system uses renewable energy sources attached to an energy storage system to increase the overall energy efficiency. To demonstrate the effectiveness of the developed controller it is made an economic analysis of its influence in the build system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
National Renewable Energy Laboratory (NREL). Renewable Energy Data Book (2015)
Alcal, R.: Tuning fuzzy logic controllers for energy efficiency consumption in buildings. In: EUSFLAT-ESTYLF Joint Conference, pp. 1–4 (1999)
Kolokotsa, D., Tsiavos, D., Stavrakakis, G.S., Kalaitzakis, K., Antonidakis, E.: Advanced fuzzy logic controllers design and evaluation for buildings occupants thermal-visual comfort and indoor air quality satisfaction. Energy Buildings 33(6), 531–543 (2001)
Ying-Guo, P., Hua-Guang, Z., Zeungnam, B.: A simple fuzzy adaptive control method and application in HVAC. In: Fuzzy Systems Proceedings, pp. 528–532 (1998)
Toshifumi, I., Masanori, K., Akira, T.: A hybrid energy storage with a SMES and secondary battery. IEEE Trans. Appl. Supercond. 15(2), 1915–1918 (2005)
Technische Universität Darmstadt. https://www.tracebase.org/
Manic, M., Wijayasekara, D., Amarasinghe, K., Rodriguez-Andina, J.J.: Building energy management systems: the age of intelligent and adaptive buildings. IEEE Ind. Electron. Mag. 10, 25–39 (2016)
Building resilience through sustainability. https://facilitydude.com/blog/buildingresilience-through-sustainability
3 ways sustainability complements building resilience. http://www.facilitiesnet.com/emergencypreparedness/
Levite, B., Rakow, A.: Energy Resilient Buildings and Communities: A Practical Guide. Fairmont Press, Lilburn (2015)
Lamichhane, S., Nazaripouya, H., Mehraeen, S.: Micro grid stability improvements by employing storage. In: Proceedings of the IEEE Green Technologies Conference, pp. 250–258 (2013)
Kleissl, J., Agarwal, Y.: Cyber-physical energy systems: focus on smart buildings. In: IEEE Design Automation Conference, pp. 749–754 (2010)
Werbos, P.J.: Computational intelligence for the smart grid-history, challenges, and opportunities. IEEE Comput. Intell. Mag. 6(3), 14–21 (2011)
van Eck, N.J., Waltman, L., Berg, J., Kaymak, U.: Visualizing the computational intelligence field. IEEE Comput. Intell. Mag. 1(4), 6–10 (2006)
Kupzog, F., Sauter, T., Pollhammer, K.: IT enabled integration of renewables: A concept for the smart power grid. EURASIP J. Embed. Syst. 2011(5), 1–8 (2011)
The MathWorks. https://www.mathworks.com/help/simulink/examples
Barata, F.A., Neves-Silva, R.: Distributed MPC for thermal comfort in buildings with dynamically coupled zones and limited energy resources. In: DoCEIS 2014, Technological Innovation for Collective Awareness Systems, IFIP Advances in Information and Communication Technology, vol. 423, pp. 305–312 (2014)
Quadrado, J.C.: Posicionadores eletromecânicos: Introdução à síntese de controladores inteligentes. Master Thesis (1994)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 IFIP International Federation for Information Processing
About this paper
Cite this paper
Monteiro, A., Pereira, R., Barata, F.A. (2018). Residence Efficiency Based on Smart Energy Systems. In: Camarinha-Matos, L., Adu-Kankam, K., Julashokri, M. (eds) Technological Innovation for Resilient Systems. DoCEIS 2018. IFIP Advances in Information and Communication Technology, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-78574-5_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-78574-5_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-78573-8
Online ISBN: 978-3-319-78574-5
eBook Packages: Computer ScienceComputer Science (R0)
