EPIU - Energy Poverty Intelligence Unit

EPIU develops an energy poverty intelligence system - a data analytics system that collects information on energy consumption, income and other factors determining energy poverty. The system includes a predictive model that will cluster energy poverty, vulnerable groups, by social, demographic and physical characteristics at 3 scales: home, building, and neighborhood.

The predictive model enables preventive attention in response to detected cases of energy poverty. With a budget of over 1 million euros, it sets up a transversal service for energy poverty attention, which will address the cases detected by the model. Services will be delivered by a cross-disciplinary work team composed of several areas of the main urban authority. Depending on the characteristics of the clusters identified by the model, specific workflows will be designed to dictate the steps and procedures to follow in order to approach the vulnerable homes. Once potentially vulnerable homes have been identified, the municipal housing company will assess the implementation of tailor-made solutions and the compensatory engagement actions.Tailor-made solutions will be developed for both heat and cold energy poverty at the three scales for a selection of energy poverty-affected homes, buildings and neighborhoods.

Some concrete key performance indicators (KPIs) of the project include:

• Decrease in number of households in las Margaritas and Alhóndiga that are unable to keep their homes at an adequate temperature (%) -: 20 %
• Percentage of population affected by EP characterized in terms of energy vulnerability: 80 %
• Percentage of tailor-made solutions prioritized, quantified and evaluated in terms of effectiveness and efficiency that have been shared with community and stakeholders: 100 %
• Percentage of population that have become aware about energy poverty: 31 %.

Main beneficiaries: the energy poor.

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  Countries impacted:
  

  Spain
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  Geographical scale:
  

  Regional and Local
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  Energy poverty phase:
  

  Diagnosis

  Planning

  Implementation
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  Intervention type:
  

  Characterisation

  Communication campaign

  Data collection

  Monitoring and Impact Assessment
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  Professionals involved:
  

  Technician

  Engineer

  Researcher
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  Partners involved:
  

  Ayuntamiento de Getafe

  UPM - Universidad Politécnica de Madrid

  EMSV - Municipal Land and Housing Company of Getafe

  UC3M - Carlos III University of Madrid

  ACA - Environmental Science Association

  FN - Naturgy Foundation

  CR - Red Cross

  FLC - Construction Labour Foundation

  Khora Urban Thinkers
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  Type of funding:
  

  European funds from Urban Innovative Actions
• SDGs addressed: