When realistic data is available from a reasonably designed and executed experiment or
monitoring exercise, the process of data analysis is one of extracting the maximum value from
that data within the bounds of the validity, accuracy and relevance of the data.
The challenge is recognising and overcoming the limitations of many data sources.
Unfortunately it is not possible to show analyses performed for clients due to confidentiality, so to illustrate this service area an example analysis is shown where the maximum benefit is extracted from a sparse data set to identify the benefit of programmable radiator valves replacing simple thermostatic radiator valves and the benefits of lighting a wood burning stove providing simple room heat output. The analysis example is summarised below and a short report can be provided on request - click on the Redford-Tech logo above to go to your email with the correct address.
Identifying the fuel saving benefits of programmable radiator