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 can be seen in more detail by downloading a
short report here.
Identifying the fuel saving benefits of programmable radiator
valves and wood burning stoves in a domestic property
For a more detailed description of this analysis, download the example report (pdf file)
The above information and attached report are supplied as an example of data analysis only.
The savings achieved from the use of programmable radiator valves and wood burning
stoves will depend on the particular household circumstances and the willingness to set up and
use the products as intended. Greater savings may be possible through the application of more
programmable radiator valves in the home and/or the willingness to light a wood burning stove
on more days of the year.
Neither KinXerG Limited nor the author are affiliated to Pegler Yorkshire and this information
should not be taken as a guarantee of savings or an endorsement of the products - however, the
analysis does confirm that these products worked well and were very cost effective in the
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