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Fuzzy System for Building Energy Flows Management

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Intelligent and Fuzzy Techniques: Smart and Innovative Solutions (INFUS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1197))

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Abstract

In this paper, a fuzzy inference system for managing an installed on a building micro grid PV systems is presented. The software system manages a PV/battery micro grid-connected system and uses fuzzy mapping of three input variables: power produced by PV panels, power in the battery and consumed power. The output of the FIS, obtained after applying the fuzzy rules, is a decision for choosing which power source is to be used. This research is part of a project for optimizing the energy consumption of a building with the use of independent alternative renewable energy sources. The input test data for the optimization are the amount of used energy for lighting, heating, computers power supply and other needs of one particular building (the building of Burgas Free University) and the corresponding price of each of the used energy sources (This research is funded by National Research Fund of Bulgaria under Contract No. KP-06-COST-8/06.08.2019 for providing national co-financing for the participation of Bulgarian teams in approved actions under the European program for cooperation in the field of research and technology COST under the project “Characteristics prediction and optimization of a photovoltaic system with artificial intelligence methods”.).

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References

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Author information

Authors and Affiliations

  1. Informatics Department in FCSE, Burgas Free University, Burgas, Bulgaria

    Penka V. Georgieva

Authors
  1. Penka V. Georgieva
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Correspondence to Penka V. Georgieva .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Sezi Cevik Onar

  3. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Basar Oztaysi

  4. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Irem Ucal Sari

  5. Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey

    Selcuk Cebi

  6. Industrial Engineering Department, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

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Georgieva, P.V. (2021). Fuzzy System for Building Energy Flows Management. In: Kahraman, C., Cevik Onar, S., Oztaysi, B., Sari, I., Cebi, S., Tolga, A. (eds) Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. INFUS 2020. Advances in Intelligent Systems and Computing, vol 1197. Springer, Cham. https://doi.org/10.1007/978-3-030-51156-2_142

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