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Residential energy consumption represents the 28% of all EU consumption and if commercial buildings are also considered this percentage increases to 40% (36% of EU CO2 emissions). In this context, is clear that the reduction of consumption in the residential sector should play an important role in energy efficiency programmes and policies as is stated in the recent Energy Efficiency Directive 2012/27/EU.
Most energy efficiency measures implemented in Europe involved technological interventions. In contrast, everyday energy-consuming behaviours are largely habitual and therefore the potential of energy savings at home with actions focused in consumer behaviour is really promising. In this context the provision of feedback to consumers has resulted in really promising results, achieving savings in the range of 5-20%. But some limitations exists. The aim of this project is to fill the gaps and advanced in this context, being an essential preparatory activity for the future large scale demonstration of feedback methodologies.
The key aim of this project is to develop an advanced and integral user-centred framework for the implementation of efficient energy feedback programmes in the domestic area. Our approach relies in the complete characterisation of the EU energy consumer, and the design of specific personalised actions tailored to each consumer pattern detected based on the use of natural language and emotional contents. NATCONSUMERS will set the scenario to allow strengthening the dialogue between the EU energy system stakeholders in order to define robustness methodologies exploiting to the maximum the potential of energy feedback approaches, filling the existing gaps not still covered by previous pilots and experiments.
The NATCONSUMERS consortium brings together representatives of all stakeholders and areas involved in the project. A concise dissemination and awareness programme is proposed to reach the target communities and increase the impact of the project.
In NATCONSUMERS, our approach relied on the complete characterisation of the EU energy consumer and the design of specific personalised actions tailored to each consumer pattern detected using machine learning and natural language.
VaasaETT were also work package leaders, responsible for building and engaging a group of external experts.
The project engaged with residential electricity consumers across Europe to achieve more sustainable energy consumption.
Access the final project handbook here:
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 657672.
