Using weather normalisation for league tables to compare and predict energy use
Pilio's advanced weather analytics enables to compare hotels, where ever they are in the UK, on a level playing field.
Created by and used by energy and environmental researchers
Pilio is a wonderful example of our research being taken up in practice to promote sustainability in society
Provision of weather data for use in online energy audit tool for arts organisations
Pilio's degree days form an integral part of our service to clients. They're reliable and always bang up to date. Pilio's innovation means we also integrated a live feed of the data into our online carbon calculator tool. They made the process really easy for us, and they continue to be very responsive to our needs.
Supply of UK temperature data used to set specification of biomass boilers
Pilio's temperature data has been a crucial component in our district energy and biomass heating design work projects.
Online energy management software
Bespoke reporting and software API
Building Services Engineering Research and Technology, 30(1): 79-86
Layberry, R. (2009)
Building Services Engineering Research and Technology, 30(4): 357-362.
Layberry, R. (2009)
Building Services Engineering Research and Technology, 29(3): 273-282.
Layberry, R. (2008)
In order to predict and analyse the heating and cooling energy use of a building, we need to know to how much and for how long the outdoor temperature has been above or below the balance point temperature. To do this, you take the difference between external temperature and the balance point for each hour in the day. The average of these figures over the 24-hour period is known as the “degree days” for that particular day.
A day’s high and low temperatures were averaged to calculate degree days. Traditionally this average has been used in building energy management because this is what has been available, but it presumes no heating is necessary when the temperature is below the balance point if it is offset byanother point above the balance point. An improvement came with "Met Office equations" which approximate the degree days by assuming a standard shape of the diurnal temperature cycle. This was a great improvement but still not an accurate measure of the actual degree days.
Both of the traditional approaches (still in wide use by other services offering weather analysis) canresult in large errors (discussed in one of our papers accessed above) Pilio calculates degree days from hourly integrals. This avoids the large errors that are introduced by other methods. It is important to reduce all sources of errors in degree day analysis, both from degree day calculations and from the collection of energy data. Failure to minimize errors can lead to false information and inappropriate building operations decisions.
Pilio uses hourly data from NOAA and UK Meteorological Office. These are the most reliable sources of hourly temperature available. This data is available from our degree day data service and also integrated into the Pilio software as weekly degree days which is superior to the more common monthly, quarterly, or even annual analysis provided by other tools.
The building fabric, building controls and activities of a building will determine the heating and cooling needs.
Furthermore, the number of occupants, solar radiation through windows, operation of lighting and appliances, and other factors affect indoor temperature.
For example, a well-insulated building or a lot of people generate more heat as there are other heat sources these can offset how much you need to heat a building.
Buildings require HVAC heating or cooling not only to moderate the outdoor temperature but also the heat they generate. The indoor temperature from which point the building needs HVAC heating or cooling is called the “base temperature”.