search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
DECARBONISING FOR HOUSING ASSOCIATIONS/SOCIAL HOUSING


the performance of individual properties as well the wider housing stock, they can develop targeted retrofit programmes that align with both asset management objectives and long- term decarbonisation strategies.


COLLATING THE DATA Gathering data is not always straightforward.


WHY ACCURATE DATA IS KEY TO OBTAINING SUCCESSFUL RETROFIT FUNDING


Local authorities and housing associations are facing


growing pressure to improve energy efficiency, reduce fuel poverty and decarbonise their housing stock. Chris Woods, client development manager at IRT Surveys, part of the


Mears Group, explains why accurate and informed housing data is vital in helping social landlords access funding from the government’s £15 billion Warm Homes Plan


R


ising energy costs, net zero targets and the impact of poor housing


conditions on tenant health mean local authorities and housing associations are facing increased pressure to retrofit their housing stock. Recent government figures show that 2.36 million households are currently in fuel poverty. At the same time, a report by the Building Research Establishment found that the NHS spends almost £900 million a year treating illnesses linked to housing defects that subject residents to excess cold and damp. While making social homes healthier,


greener and more energy efficient is a national priority, it is an ambitious task that comes with a hefty price tag. The estimated cost of retrofitting the UK’s social housing stock to the Minimum Energy Efficiency Standard is £16 billion. To achieve net zero, that figure would rise to £104 billion. Currently, a quarter of social homes, 1.1 million, fall below EPC Band C.


WARM HOMES PLAN The government’s Warm Homes Plan presents


local authorities and housing associations with a significant opportunity to support their ambitions to deliver much-needed improvements to their housing stock. However, with just £3.2 billion of the low-income funding pot being shared across both social housing and private street-level grants, competition will be tough. The new scheme means local authorities and


www.essmag.co.uk


Housing providers often hold data across multiple systems and formats, with varying levels of detail and accuracy. Valuable insights can come from a range of sources, including thermal imaging surveys, EPC information, stock condition data, asset management system integrations and other property datasets. Bringing these together into a single, reliable view is essential for effective decision-making. Specialist modelling software, such as DREam,


can combine and analyse these multiple data sources to create a single view of housing performance, enabling social landlords to identify where individual measures will deliver the greatest benefit and where investment should be targeted across the wider portfolio to maximise both funding opportunities and long-term value. As a result, local authorities and housing


associations can begin to plan their retrofit projects, with precise costings and using the most appropriate and efficient measures. Crucially, they will also be able to ensure their projects meet the Warm Homes funding requirements. Advanced modelling software continues to play a


key role once projects are underway. By monitoring the progress of the installation rollout and the energy-saving improvements, they help keep projects on track and cost- effective, while also providing evidence that targets have been met.


TURNING DATA INTO ACTION Social housing providers are responsible


for decarbonising a significant proportion of the UK’s housing stock. The value of data in addressing this monumental and challenging task, especially at scale and pace, should not be underestimated. For those wishing to obtain Warm Homes Plan funding for their energy-efficiency retrofit projects, acquiring accurate and informed housing stock data is even more vital. When all available data is combined and analysed using advanced software,


housing associations no longer need to compete to win grants. However, with funding now based on local need and the preparedness to deliver, the competition will be one of evidence and speed. It is those with accurate and informed housing data and with retrofit teams already in place that will receive funding first.


THE IMPORTANCE OF DATA With the funding framework focused on the


needs of neighbourhoods rather than individual properties, social housing providers will need to gather significant data. Data can provide far more than evidence for funding applications. It gives housing providers a comprehensive picture of their portfolio, where improvements are needed and how investment can be prioritised. By understanding


local authorities and housing associations gain a complete understanding of their housing portfolio. These insights not only strengthen funding applications but also enable informed asset management decisions, targeted retrofit interventions and long-term decarbonisation programmes. Ultimately, better data


leads to better investment decisions, helping deliver healthier, more energy- efficient homes for tenants while maximising the impact of available funding.


IRT Surveys https://irtsurveys.co.uk/


ENERGY & SUSTAINABILITY SOLUTIONS - Autumn 2026 Chris Woods 31


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40