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Demand Response Management in Smart Buildings

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Integration of Low Carbon Technologies in Smart Grids

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Abstract

In this chapter an optimization approach based on Model Predictive Control (MPC) for allowing the temperature control system of large buildings to participate in a DR program is proposed.

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Notes

  1. 1.

    Computations have been performed using CPLEX [35] to solve the LPs, on an Intel Core i5 M520 at 2.40 GHz with 4 GB of RAM.

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Authors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche, Università di Siena, Siena, Italy

    Donato Zarrilli

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  1. Donato Zarrilli
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Correspondence to Donato Zarrilli .

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Zarrilli, D. (2019). Demand Response Management in Smart Buildings. In: Integration of Low Carbon Technologies in Smart Grids. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-98358-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-98358-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98357-8

  • Online ISBN: 978-3-319-98358-5

  • eBook Packages: EnergyEnergy (R0)

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