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Large-Scale Building Thermal Modeling Based on Artificial Neural Networks: Application to Smart Energy Management

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Artificial Intelligence Techniques for a Scalable Energy Transition

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Abstract

This chapter focuses specifically on the development of a smart building energy management (SBEM) system. The system has two main goals: the first one is, by using an artificial neural network, to estimate and predict the thermal behavior of a large-scale building including instrumented and non-instrumented thermal zone. The second one consists, via a human graphical interface, in providing different advice to users to educate and attract them about energy reduction challenges. The originality of this chapter is close to the nature of the intervention of the system. It does not act directly on the HVAC building systems, as an automation system could realize, but on the USER. In other terms, it consists in inviting USER to have a good behavior to reduce energy consumption. So, by means of the student residential located in Douai in the North of the France, we validate the thermal behavior model developed and we also realize different factors analysis which may affect the energy consumption for optimization purposes. This leads in setting well the human interface to be sure that each user sticks to each advice in order to guarantee an efficient smart building energy management system design.

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Acknowledgements

This work was supported by the European project “SHINE: Sustainable Houses in Inclusive Neighbourhoods.” A project granted by Interreg 2 Seas and the European Regional Development Fund.

The author would also like to thank Pr. Luc Fabresse for all the help, advising and support for the development of this smart building energy management system.

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Authors and Affiliations

  1. IMT Lille Douai, University of Lille, Unité de Recherche en Informatique et Automatique, Lille, France

    Lala Rajaoarisoa

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  1. Lala Rajaoarisoa
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Correspondence to Lala Rajaoarisoa .

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Editors and Affiliations

  1. Institute Mines-Telecom Lille Douai, Douai, France

    Moamar Sayed-Mouchaweh

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Rajaoarisoa, L. (2020). Large-Scale Building Thermal Modeling Based on Artificial Neural Networks: Application to Smart Energy Management. In: Sayed-Mouchaweh, M. (eds) Artificial Intelligence Techniques for a Scalable Energy Transition. Springer, Cham. https://doi.org/10.1007/978-3-030-42726-9_2

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  • DOI: https://doi.org/10.1007/978-3-030-42726-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-42725-2

  • Online ISBN: 978-3-030-42726-9

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