Fondecyt Regular 1200551

The project's general goal was to develop a predictive indicator and application models which, using the dwelling and family's basic information, were capable of analyzing existing buildings, helping allocate or choose new social housing (SH) and, assess standards to reduce energy poverty risks in Central and Central-Southern Chile. The following are considered as specific goals:

1. Collecting primary data, using onsite measurements and surveys, regarding architectonic, constructive and indoor environment characteristics (temperature, humidity, intra-household contamination) of different social housing typologies, as well as data regarding energy needs (equipment, access, interruptions, sources, capacity and energy expenses), economic and social aspects of families living there (incomes, expenses, use of dwelling and demographic data).

2. Determining factors to fit simulation data to real data, to adjust energy simulations of dwellings built using current (TR) and new construction standards (NTM 11-2 and ECSV).

3. Developing a predictive energy poverty risk using the data collected aligned with energy poverty three-dimensional index, generating information, and making its use in other social situations, SH typologies, materialities and geographic areas possible.

4. Establishing and validating mathematical models that allow using the index proposed more simply, to analyze existing buildings, help allocate or choose new social housing and assess standards to reduce energy poverty risks.

5. Developing tools for dissemination and use along with recommendations for their implementation in the legislation applicable to the construction, acquisition, rental or modification of social housing in Chile.

With a budget between 100.000 and 1M euros. the project had 5 stages (13 activities):

Stage 1: comprised designing and validating data collection tools, identifying statistically representative SH typologies and onsite primary data collection.

Stage 2: comprised simulating the dwelling's resulting energy use to set adjustment factors that allowed calibrating the simulated consumption with real consumption.

Stage 3 focused on reviewing models and criteria to measure and assess EP, to establish the risk indicator with data collected onsite. This was reported and validated to align with results from University of Chile's RedPE.

Stage 4: comprised simulating SH with current and new construction standards, generating mathematical models to predict EP risk in SH decision stages or to assess existing housing to focus thermal retrofitting resources or other subsidies.

Stage 5: comprised a digital platform to report the results. This contained an interactive tool so that users can identify their EP risk. The Fuel Poverty Assessment Tool was a good example. In addition, 3 JCR (ISI) articles, 2 congress appearances, one book, 10 talks in local councils and 1 seminar with ministerial authorities (MINVU, MINERGIA, MDS, MINISTRY OF HEALTH AND MMA) were used to show the results.
 

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  Countries impacted:
  

  Chile
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  Geographical scale:
  

  National
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  Energy poverty phase:
  

  Diagnosis

  Planning
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  Intervention type:
  

  Characterisation

  Consumer Advice, protection and empowerment

  Data collection
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  Professionals involved:
  

  Engineer

  Researcher

  Social worker

  Student
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  Type of funding:
  

  National funds froom Fondecyt Regular 1200551
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  Website:
  Case website
• SDGs addressed: