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Energy Switch: a Home-Automation System for Renewable Energy Self-Consumption Optimization

Author

Listed:
  • Daniele Sora

    (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy)

Abstract

One of the biggest problem regarding the distributed production of renewable energy is the effective employment of the produced energy. Usually, this energy is reintroduced in the grid with a disadvantage for the producer. In this scenario, we propose an approach that aims at exploiting the entire energy production reintroducing into the grid only the part in excess. The proposed solution is based on a device, called energy switch, that enables a change of the electric energy source of a system such as one linked to both photovoltaic and classical energy grid. This operation needs many considerations for warranting a correct energy management and avoiding energy lacks potentially dangerous for the appliances. In particular the system has to be able to recognize the situations in which it is possible to use the cheaper source without causing an energy lack to the system. In the proposed solution, the input data for the system are given by the OMeter stations developed by Over Technologies, a spin-off of Sapienza University. A working prototype of the energy switch has been built for future empirical test about its efficiency. The system reduces the problem of choosing which lines to connect to which energy source to the knapsack problem. The performance of the system are evaluated, checking at anytime whether there is a sufficient power supply or, on the contrary, a power fault happened.

Suggested Citation

  • Daniele Sora, 2015. "Energy Switch: a Home-Automation System for Renewable Energy Self-Consumption Optimization," DIAG Technical Reports 2015-13, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    • Handle: RePEc:aeg:report:2015-13
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Smart Grid ; Renewable Energies ; Home automation ; Energy Management;
    All these keywords.

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