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Data-driven value-added services for collective self-consumption plant that include vulnerable group
Published on 28 May 2021
Spain
This is the good practice's implementation level. It can be national, regional or local.
About this good practice
Local administrations are starting to develop initiatives to help solve the climate emergency and energy poverty, in par-ticular through collective and shared self-consumption rene-wable energy installations.
New technologies for obtaining, analysing and managing energy data greatly facilitate the development of this type of installation, given that they make it possible to choose the most appropriate size and characteristics of renewable energy installations with greater precision. This avoids was-ting economic resources in oversized installations. In addition, data technologies optimise energy distribution among all the users associated with the renewable energy self-consumption plant, thus maximising the amount of self-consumed energy.
This good practice consists of the digital platform "Pylon-Data", which performs analysis and energy manage-ment data, generating solutions based on the needs of consumers:
- It allows to configure a distribution among all users of the % of electricity and to allocate a higher % of electricity genera-tion to vulnerable groups in a situation of energy poverty.
-It increases the profitability of a collective self-consumption installation by up to 30%.
-It reproduces a collective self-consumption report in a matter of minutes, based on real energy data, compared to several weeks.
New technologies for obtaining, analysing and managing energy data greatly facilitate the development of this type of installation, given that they make it possible to choose the most appropriate size and characteristics of renewable energy installations with greater precision. This avoids was-ting economic resources in oversized installations. In addition, data technologies optimise energy distribution among all the users associated with the renewable energy self-consumption plant, thus maximising the amount of self-consumed energy.
This good practice consists of the digital platform "Pylon-Data", which performs analysis and energy manage-ment data, generating solutions based on the needs of consumers:
- It allows to configure a distribution among all users of the % of electricity and to allocate a higher % of electricity genera-tion to vulnerable groups in a situation of energy poverty.
-It increases the profitability of a collective self-consumption installation by up to 30%.
-It reproduces a collective self-consumption report in a matter of minutes, based on real energy data, compared to several weeks.
Resources needed
During 2020 the total resources used were € 295,000: 2/3 for human resources (11 employees) and 1/3 for operating costs. In addition, € 20,000 were used for marketing cam-paigns.
Evidence of success
The average reduction of energy poverty through the use of this platform by local entities is 19.58% of their bill. During 2020, a total of 13 municipalities benefited with a total of 1,000 analyses; 700 optimisations and a potential saving of 223,250 €/year.
Potential for learning or transfer
Renewable energy and the need to integrate all citizens (including vulnerable groups) is a priority of EU energy policy, and energy communities and collective self-consumption schemes are being introduced as key stakeholders in the energy market.
The platform features can provide information on the adoption of EU legislative directives by all EU member states and the digitalisation of the energy transition. Therefore, we see a remarkably high transfer potential of this good practice.
The platform features can provide information on the adoption of EU legislative directives by all EU member states and the digitalisation of the energy transition. Therefore, we see a remarkably high transfer potential of this good practice.
Further information
Website
Good practice owner
You can contact the good practice owner below for more detailed information.
Organisation
Pylon Data
Spain
Andalucía
Contact
Project Manager