Dual mode to collect all data

Tuesday, October 2, 2018

Project20/20/20 Research Gate

Generally speaking, the HEMS systems available on the market require the installation of expensive dedicated devices and the management of the communication interface required to connect the smart appliances, without active involvement of end-users for the optimization and rationalization of their consumption.

Generally speaking, the HEMS systems available on the market require the installation of expensive dedicated devices and the management of the communication interface required to connect the smart appliances, without active involvement of end-users for the optimization and rationalization of their consumption. Compared to these existing solutions, the suggested system proposes to actively involve end-users in order to make them aware of the energy impact of their choices, pushing on existing household multimedia technologies (smartphones, tablets, smart TVs, PCs) but ensuring expandability with future energy-optimizing technologies that have not yet entered the market (smart meters, smart plugs, smart appliances). For this purpose, the system must be able to retrieve from DSO operator the status of the energy distribution network, in particular the geographical area where it’s located (at block or building level). Obviously the system must be able to aggregate information provided by DSO operator and to present only useful information to end-users, such as advices for their overall energy power consumption reduction, in order to limit end-users impact on the congested energy distribution network.

Incentives to rewards worthy end-users (no power consumption or in suggested time slots) could be introduced, according to DSO operator, to encourage an environmentally sustainable behavior. Similar incentive mechanisms are already used by some DSO operators, such as the A2A’s ChiarA2A program [1], in which the ecologically-friendly behavior is rewarded by the accumulation of points that could be converted in vouchers for e-commerce.

To collect data about the energy consumption inside the building, the proposed system provides two different modes:

Automatic reading mode

It works in collaboration with on-site smart sensors, both building oriented (for example the main power line meter) and single supply point oriented (for example smart plugs with a built-in measurement system), the latter only if there is the need of measuring single appliances. At first the measurement system will be focused on monitoring electrical consumption, but it could be easily extended to other power sources (gas and district heating) and similar (water consumption). Data will be collected by the following devices, usually already available in the building:

  • Electrical smart meters. The system is initially oriented towards optimizing electrical consumption. Nonetheless it could be easily extended to acquire data from other meters already in use, such as the ones monitoring the gas consumption or the district heating. These measurements are needed in order to understand and to present to end-users the whole energetic impact of the building.
  • Smart plugs. Smart plugs, both standalone and integrated in the building electricity system, allow an easier monitoring of the energy consumption of appliances through the entire house. In some circumstances, it will be also possible to remotely enable/disable the power supply, through appropriate communication protocols.
  • Disabling the power supply of unused appliances could help reducing hidden consumptions, such as the stand-by power. Smart appliances. The availability of smart appliances, able to communicate directly with the domestic central unit, can help optimizing power consumption by defining control strategies.

Manual reading and data entry

This working mode is provided for buildings without automatic reading systems such as smart meters or smart plugs. Of course, compared to the automatic input mode, this one provides a limited perception about energy consumption, since the data cannot be entered with too high frequency due to the manual data entry, but still allows to analyze long-term trends and highlight issues.

References

  1. Program Chiara A2A. On line:
    http://www.a2aenergia.eu/home/cms/a2aenergia/pfedelta/vantaggi.html
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