Fuel Poverty Modelling Project Collaboration between SHS, Affordable Warmth Solutions (AWS) and Cadent Gas

 

Model to be made available free of charge to local authorities

Cadent Gas and Affordable Warmth Solutions CIC (AWS) has provided a grant of funding to The Sustainable Home Survey Company, CIC to produce a fuel poverty identification model. 

Themodel will help organisations betterunderstand how publicly available data can be used to indicate fuel poverty without having to complete costly home visits or require entering detailed data into assessment tools/surveys.  The model will use the public data to analyse the indictors which could, with reasonable accuracy, point to those living in fuel poverty on a large scale.  Further, the data would be used to identify fuel poor and vulnerable households that are off the gas grid so they may be qualified for reduced or free gas connections.  This aligns well with recent government emphasis on the need for simplicity in identifying and qualifying people for measures.

The modelling development for this initial offering is 3-fold.  

 

  1. Free public data will be used to select a set of factors which can indicate vulnerability and more specifically fuel poverty.
  2. Model output will be correlated with neighbourhoods where homes are off the gas grid along with EPC data to identify appropriate measures/actions and where applying government programmes and subsidies would have the greatest impact.
  3. The model will be tailorable to assimilate local authority data sets providing an even more robust output.

 

The impetus for the model came about during a grant project where Jeremy Nesbitt of Affordable Warmth Solutions, CIC and Lee-Ann Perkins of the Sustainable Home Survey Company, CIC met.  Ms Perkins has been looking at the identification issues for nearly 3 years and said, “I wanted to be a part of a solution to target fuel poverty funds and support where they were most needed in providing energy efficiency measures, not the identification.” 

Affordable Warmth Solutions has a similar mission to identify vulnerable households and connect them to the gas grid. Mr Nesbitt agreed that, ” the opportunity to efficiently identify fuel poor, off-gas grid homes will be invaluable in our ambition to support these homes with a package of measures aimed at improving energy efficiency and increasing household incomes”

 

The Behaviouralist, comprised of world-renowned experts in behavioural science and economics, were commissioned to provide the data expertise required and to help make implementation of the model drive necessary behaviour changes.