Energy management for collective self-consumption of photovoltaic energy

Lecture on collective self-consumption of photovoltaic energy with dynamic distribution at the Izarbel Science Park.

A summary of the lecture in which the topic to be addressed in several paragraphs (Approximately 3000 characters, including spaces).

This lecture aims to explain the development of efficient systems of efficient energy exchange management systems for collective self-consumption photovoltaic installations, thanks to technologies such as Blockchain and Internet of Things. One of the pilot actions carried out at the Izarbel Science Park in Bidart will be explained. This collective self-consumption demonstrator involves three Izarbel buildings, but all the photovoltaic production comes from one of them, although the consumption of this production is shared between the three buildings.

In order to do that, some devices have been installed, they are connected to the three smart consumption meters of these buildings and to the production meter. These devices allow the data to be retrieved and communicated via the network, using the data from the power extracted and injected to test the three possible types of distribution:

1. Static: the distribution coefficients are fixed.

2. Dynamic: the distribution is carried out according to rules established by the organising entity of the self-consumption collective.

3. Dynamic by default: the distribution is variable and is calculated automatically in proportion to the consumption of each participant.

To maximise the self-consumption rate, and minimise consume as far as possible, an energy management system has been designed and developed. It acts 1) on the heating, ventilation and air conditioning systems, adapting the temperature adjustments of the rooms in the building, and 2) on the behaviour of the building’s users which influences in the electricity consumption related to lighting, charging of mobile phones and laptops, etc. In addition, prediction models for consumption and photovoltaic production have been developed and validated. These models will be used to optimise the self-consumption rate and energetic efficiency.