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Intelligent Automation in Renewable Energy pp 45–75Cite as

Solar Thermal Power Station for Green Building Energy Supply

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Part of the book series: Computational Intelligence Methods and Applications ((CIMA))

Abstract

Onsite generation of renewable energy can significantly reduce the environmental impact of a building [1]. Small solar power plants with thermal energy storage can support all the energy demands of residential houses in countries with a hot, arid climate. In countries with a cold climate, such as Canada and Russia, solar energy can still provide a significant part (sometimes more than half) of the energy consumed by a residential house. This book’s researchers developed prototypes for flat facet solar concentrators that approximate a parabolic-shaped surface and described them in the earlier chapters. They also proposed and patented a low-cost method for parabolic surface adjustment. Rough estimations show that concentrators of this type can be very inexpensive (US$20–30 m−2). On the basis of these concentrators and small-scale thermal energy storage, it is possible to make power plants for green buildings.

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Authors and Affiliations

  1. Instituto de Ciencias Aplicadas y Tecnología (ICAT), Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico

    Tetyana Baydyk & Ernst Kussul

  2. Dept. of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO, USA

    Donald C. Wunsch II

Authors
  1. Tetyana Baydyk
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  2. Ernst Kussul
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  3. Donald C. Wunsch II
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Baydyk, T., Kussul, E., Wunsch II, D.C. (2019). Solar Thermal Power Station for Green Building Energy Supply. In: Intelligent Automation in Renewable Energy. Computational Intelligence Methods and Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-02236-5_4

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  • DOI: https://doi.org/10.1007/978-3-030-02236-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02235-8

  • Online ISBN: 978-3-030-02236-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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