YOUR "SELF MEASUREMENT" PROGRAMME FOR BUILDINGS AND STRUCTURES WITHIN THE UNITED KINGDOM.
This Fact sheet provides a step by step approach to understanding and using Degree Days, if you follow the steps you will be able to calculate your buildings energy use more accurately than if you were to take and analyse consumption alone.
Introduction. The rate of heat loss from a building is related to the building fabric and the temperature difference between the inside and outside of a building The greater the temperature difference the more heat will be lost. It is not possible to directly compare your buildings performance from consumption data alone as weather conditions vary from month to month and year to year.
Heating degree days are a measure of the severity and duration of cold weather, the colder the weather in a given month the higher the degree day value. If you take these into account it is possible to compare one year with another and to determine whether any initiatives have resulted in energy savings or there are problems with your building that need to be addressed.
The base temperature used to calculate degree days in the UK is 15.5oC At this temperature most UK buildings can heat themselves without the need for supplementary heating, due to the internal gains from occupants and equipment and the solar gains through the building fabric – walls and windows. Degree days is a measure of the difference between the baseline and the actual outdoor temperature multiplied by the number of days. E.g. the temperature measured hourly records a temperature of 7.5ºC for 48 hours the degree days totalwould be (15.5 - 7.5) x2 = 16 If the temperature is above the baseline then the degree days are set to zero.
It may not always be appropriate to choose the nearest recording station, as the stations local environment may not be similar to your own. e.g. You may be located on an exposed site and it may be more appropriate for you to choose another exposed site to take your degree day data from. Once you have decided which station you will be using it is important to always use this stations information.
How to use degree day information 1. It is necessary to collect fuel use information, usually monthly, and for as far back as possible 2. Collect the degree day data for the same time periods as 1 above 3. Continue to take monthly meter readings – preferably at the same time of day at the end of every month to coincide with degree day data,
Producing a Performance Line 1. Plot degree days on the x axis and energy consumption on the y axis. Plot the line of best fit. This line is known as the performance line of a building and the amount of scatter on data from this line will give an indication of the quality of the data collected. An obvious cause of high levels of scatter is due to reading meters at different times of the month – e.g. If meters are read on Monday’s it could be 4 or 5 days from the end of themonth.
2. Any wide scatter should be investigated and the causes identified. The performance line provides a basis for evaluating historical performance of a building and is used to compare current performance. Consistent variation from this line indicates that the building is operating differently and can be used to demonstrate that energy efficiency related activities are having an effect or thatsomething is going wrong in the building.
3. The most common pattern when comparing degree day to energy consumption can be seen in the diagram below. The line of best fit might not be a straight line.
4. The line fits the formula y = mx+c where the intercept (c) either intercepts the y axis – non temperature related energy use. Or x axis – no heat required at 15.5oC, because the internal temperature can be lower, or that there are heat gains due to equipment / process use.
Producing a Control chart Control charts can be calculated by determining predicted consumption from the equation y = mx+c, where m = the slope of the line, x = the degree day value and c = the intercept with the axis.
All this data can be obtained using standard spreadsheet facilities. Present the data in a spreadsheet with the following headings. 1 Date of reading 2 Weekly or daily reading 3 Degree Day data 4 Predicted consumption (kWh) based on y = mx+c 5 Difference (actual predicted) consumption
If you plot the difference in kWh against the time the readings were taken it is possible to identify at what times the building is not performing in the predicted manner.
Any negative readings are energy savings as a result of energy efficiency activity.
1. The next level of chart is the CUSUM (The accumulated sum over a period) which allows managers to measure th eaccumulated sum of the differences and allows the energy performance of the building to be monitored. Using a CUSUM chart will allow you to observe when savings are being made –the line of the chart will be going downward. If consumption is on the increase it can be spotted by an upward trend in the graph and action can then be taken to reverse the trend. 2. Once a sustained performance change has been identified it is important to produce a new performance line and CUSUM chart to include data only from the period after the change. To plot a CUSUM chart it is best to plot the following data.
Date of reading Weekly or daily reading Degree Day data Predicted consumption (kWh) based on y = mx+c Difference CUSUM -(cumulative sum of figures from difference column.) Estimating Savings using degree days
It is possible to assess monetary savings from activities by using this method. Take the data prior to the change and plot the consumption against degree days. Then take the data from the period after the changes and insert into a data table as below: 1 Date of reading 2 Weekly or daily reading 3 Degree Day data 4 Predicted consumption (kWh) based on y = mx+c from chart prior to change 5 Difference Money savings 6 Cumulative savings
FAQ Where can I get Degree Day information from? From the met office web site.
Where can I get this service provided for my business or employers buildings? Email: energy@mojacarnet.com