Research and analysis
Detailed analysis of data from heat pumps installed via the Renewable Heat Premium Payment Scheme
- Department for Business, Energy & Industrial Strategy
- Part of:
- Heat technical research and Household energy
- First published:
- 11 February 2016
- Last updated:
- 27 September 2016, see all updates
Data was collected on the performance of around 700 domestic heat pumps installed via the Renewable Heat Premium Payment Scheme. This is the first of a series of reports on the analysis of this data.
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The RHPP policy provided subsidies for private householders, Registered Social Landlords and communities to install renewable heat measures in residential properties. Eligible measures included air and ground-source heat pumps, biomass boilers and solar thermal panels.
Around 14,000 heat pumps were installed via this scheme. DECC funded a detailed monitoring campaign, which covered 700 heat pumps (around 5% of the total). The aim of this monitoring campaign was to provide data to enable an assessment of the efficiencies of the heat pumps and to gain greater insight into their performance. The RHPP scheme was administered by the Energy Savings Trust (EST) who engaged the Buildings Research Establishment (BRE) to run the meter installation and data collection phases of the monitoring program. They collected data from 31 October 2013 to 31 March 2015.
RHPP heat pumps were installed between 2009 and 2014. Since the start of the RHPP Scheme, the installation requirements set by MCS standards and processes have been updated.
DECC contracted the RAPID-HPC to analyse this data. The data provided to RAPID-HPC included physical monitoring data, and metadata describing the features of the heat pump installations and the dwellings in which they were installed. This report presents results from analysis undertaken by RAPID-HPC up to the end of January 2016. As the analysis has progressed, limitations with the underlying data have been identified. Guidance on what this means for the results presented in this report is provided in RAPID-HPC’s statement (below) and will be expanded on in forthcoming reports.
RAPID-HPC’s Statement on Data Anomalies and Interpretation of the RAPID-HPC February Detailed Analysis Report
The work of the RAPID-HPC consisted of cleaning the data, selection of sites and data for analysis, analysis, and the development of conclusions and interpretations. An outline of the methods used is presented in this report and further details will be published in forthcoming reports.
The monitoring data and contextual information provided to RAPID-HPC are imperfect and the analyses presented in this report should be considered with this in mind. Discussion of the data limitations is provided in the report and is essential to the conclusions and interpretations presented. Further analysis and discussion will be presented in the forthcoming publications.
With respect to the quantitative results contained in this report, it should be borne in mind that:
These results are based on the specific samples described and reflect an understanding of the data at a specific stage of our work. Further findings, which build on these results, will be published in future reports.
RAPID-HPC has looked at the impact of analysing different sub-samples of the data, reflecting different strategies for dealing with the underlying data quality. This work indicates that changes in the samples used do change the quantitative results, but in most cases by small amounts - the main exception is the proportion of ASHPs with SPFs above 2.5. The indicators of spread (interquartile range and standard deviation) are also impacted.
This report does not assess the degree to which the heat pumps assessed are representative of the general sample of domestic heat pumps in the UK. Therefore these results should not be assumed to be representative of any sample of heat pumps other than that described, and;
They should be seen within their context, with their measures of uncertainty, and their accompanying qualitative interpretations, caveats and qualifications.
A top-down rules-based approach to identifying data anomalies has been used throughout the analysis presented here. The advantages of this approach are that it is transparent and replicable and enables analysis of the very large (over 0.5 billion data points) data set as a whole. A greater understanding of data anomalies could in principle be obtained using a bottom-up exploratory investigation on a site-by-site basis. This would represent a significant undertaking for such a large data set, and it is currently unclear whether such an approach would substantially reduce the uncertainties that surround our estimates of SPF for the heat pumps in our sample.
Published: 11 February 2016
Updated: 27 September 2016
- RAPID-HPC’s statement on data anomalies and interpretation of the RAPID-HPC February detailed analysis report.
- First published.