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Modelling Building Energy Systems using Electric Circuit Analogy

Author

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  • Aulon Shabani
  • Lindita Dhamo
  • Orion Zavalani

Abstract

Modelling energy systems is of great interest since it can help to analyse building energy behaviour and to optimize control strategies. Grey-box modelling is one of the three fundamental modelling approaches for developing energy models. Due to its simplicity and offering several benefits, it has been widely used to handle building-technology challenges such as building load estimate, control and optimization, synthetic data generation for prediction, load peak management and grid integration. This review research looked at several areas of grey box modelling for building energy systems. Here we analyse three main directions, first one is modelling thermal dynamics of buildings, second one analysing approach used to model most used building electrical appliances and third one is renewable systems used to produce thermal water for residential use.

Suggested Citation

  • Aulon Shabani & Lindita Dhamo & Orion Zavalani, 2023. "Modelling Building Energy Systems using Electric Circuit Analogy," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 7(1), pages 56-61, January.
  • Handle: RePEc:epw:ejece0:v:7:y:2023:i:1:id:19491
    DOI: 10.24018/ejece.2023.7.1.491
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    References listed on IDEAS

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    1. Giovanni Bianco & Stefano Bracco & Federico Delfino & Lorenzo Gambelli & Michela Robba & Mansueto Rossi, 2020. "A Building Energy Management System Based on an Equivalent Electric Circuit Model," Energies, MDPI, vol. 13(7), pages 1-23, April.
    2. Foucquier, Aurélie & Robert, Sylvain & Suard, Frédéric & Stéphan, Louis & Jay, Arnaud, 2013. "State of the art in building modelling and energy performances prediction: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 272-288.
    3. Li, Yanfei & O'Neill, Zheng & Zhang, Liang & Chen, Jianli & Im, Piljae & DeGraw, Jason, 2021. "Grey-box modeling and application for building energy simulations - A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    4. Aulon Shabani & Orion Zavalani, 2017. "Predicting Building Energy Consumption using Engineering and Data Driven Approaches: A Review," European Journal of Engineering and Technology Research, European Open Science, vol. 2(5), pages 44-49, May.
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