The Weather Station Manager toolbar includes several shortcut buttons to initiate common actions. The function of each button is described below.
| Toolbar button | Description |
| Clicking the New Station button opens the Create Weather Station window to enter new weather station details. | |
| When you have a weather station already highlighted in the list, clicking the Edit Readings button opens readings monthly calendar window. Each daily value is stored in an editable field, and you can use the date scroll buttons to select any month/year of historical data. | |
| Clicking the Import Readings button opens a popup menu allowing you to choose the source for your imported data (file or web). If File is selected, EnergyCAP will display an Open window permitting you to browse to select the import file. If Web is selected, EnergyCAP will automatically download the weather data for stations for which you are subscribed. | |
| Clicking the Options button opens the Weather Station Options window, which allows you to determine: 1. the number of comparison years in PowerView weather charts 2. the Base Year 3. the Comparison Year |
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| Clicking the Check Data button opens the Check Weather Data window. Use the intuitive interface to generate a log of weather data for all weather stations within the time parameter(s) you select. | |
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Clicking the Auto Assign button opens the Auto Assign window. Use this option periodically to verify that all buildings with zip codes have been assigned a weather station. For more information, see Weather Station Manager: Overview & Setup. |
This topic provides an overview of the Weather Station Manager, which provides an interface for assimilating weather data for use in EnergyCAP Enterprise. Weather Station setup information (automatic and manual) is also provided.
Weather stations are logical devices used to capture and measure atmospheric data that can be correlated against usage or demand. Weather stations are similar to meters and counters. As with meters and counters, weather stations have channels for each specific weather condition tracked. Temperature, humidity, dew point, cloud cover, and wind speed are only a few of the types of conditions that can be tracked by weather stations.
Weather data can be provided through our weather subscription service or by your organization. For more information on importing weather data, please see Importing Weather Data from Weather Subscription Service or Importing Weather Data from Other Sources.
The Auto-Assign procedure can/should be performed whenever new buildings are added to the organization. The Auto-Assign feature does not affect buildings with weather stations previously assigned.
NOTES: Automated weather station processes are functional only for EnergyCAP clients using the weather subscription service.
Make certain that all Places to be updated have been assigned a valid POSTAL (ZIP) CODE in the place Address (see Place Properties, General tab) prior to performing the procedure below. No additional address information is required.



To change the weather station for a building:
The first step in tracking, charting, reporting and analyzing weather data is to create a weather station. To create a Weather Station manually:


It is possible to track the mean daily temperature in degrees F or degrees C. However all data distributed via the EnergyCAP weather data subscription service is in degrees F. This includes Canadian stations.
To track temperature data on an interval other than daily (e.g. hourly) or to track weather data variables other than mean daily temperature (e.g. humidity, wet bulb temperature, wind, sunshine, precipitation, etc., create one or more data channels (see Creating Weather Data Channels).
If you have chosen Mean Daily Temperature, a Mean Daily Temperature data channel will be created for you when you click OK.
Beginning with EnergyCAP rel 5.0, you can automatically import weather data that has been provided by AccuWeather.com.
You must subscribe to this service and a low annual fee applies.Your subscription is for a set number of weather stations.If you have subscribed to the service, enter the state/province in the first data field and enter the specific city or airport in the second.The weather code identifier shown in the second field does not have to match the code you gave this station in the Code field.

With many weather stations and many years of data it can be difficult to ensure that no daily data is missing.Therefore, use the Check Data shortcut button to identify:

EnergyCAP uses mean daily temperature to calculate daily degree days.
A degree day is a measure of relative heating and cooling energy required by buildings. It's calculated as the difference between the average daily temperature and the balance point temperature (55 degrees). When the average daily temperature is above the balance point, the result is cooling degree days; when below, the result is heating degree days.
Example 1:
Average daily temperature = 80. Balance point = 55. Cooling degree days = 25 CDD. (80-55=25)
Example 2:
Average daily temperature = 40. Balance point = 55. Heating degree days = 15 HDD. (55-40=15)
Example 3:
Average daily temperature = 55. Balance point = 55. No degree days.
Why not use average temperature instead of degree days? The problem with average temperature is that highs and lows cancel each other out. A warm day (75 average temp) combined with a cold day (35 average temp) average 55. So do two mild days of 56 and 54. But in first case there are 20 CDD and 20 HDD while in the second there are 1 CDD and 1 HDD. Using degree days, you can see that the relative amount of energy required for the first set of days is much greater than for the second set of days. But if all you looked at was the average temperature, you would conclude that both sets of days were about the same.
The balance point temperature is the average daily outside temperature at which a building maintains a comfortable indoor temperature without heating or cooling. At this outside temperature, the indoor heat gains (due to people, lighting, equipment, etc) "balance" with heat loss through windows, walls, roof and ventilation.
Since the average daily outside temperature normally occurs at about 11 am, here’s the question: On a typical day, if the outside temperature at 11 am is 55, is the building being heated, cooled or neither? If heated, then the balance point should be set HIGHER than 55; if cooled, then the balance point should be set LOWER than 55; if neither, then a balance point setting of 55 is appropriate.
The 65-degree balance point standard was developed 75 years ago to help the gas industry predict heating loads in residences. Studies back then showed that when the average daily temperature fell below 65, residences began turning on the heat. To this day, many sources still track degree days using this standard, including the National Oceanic and Atmospheric Administration (NOAA).
Today's residences and commercial/institutional buildings are very different. Not only are walls, roofs and windows insulated much better, but also there are many more sources of internal heat gains (lights and equipment). Extensive use of degree day correlations by thousands of EnergyCAP users since 1982 has shown that a 55 or 60-degree balance point for modern buildings is almost universally more appropriate than 65.
Since residences have fewer sources of internal heat gains per square foot (occupants, lighting and equipment), you might find that 60 or even higher is a better balance point estimate, particularly in older residences that lack tight windows and high levels of insulation. In non-residential buildings, use a higher balance point (56-60+) for buildings that have low internal heat gains, high ventilation rates and poor insulation.
In EnergyCAP, it is possible to change the degree day balance point temperature:
If the balance point temperature is changed, the charts will be automatically updated the next time they are displayed.
EnergyCAP has sophisticated weather adjustment and normalization capabilities. See Cost Avoidance.
In EnergyCAP, just click Setup/Weather Stations. The Weather Station Manager will be displayed. Then click the Import Readings icon and select From Web. EnergyCAP will connect to the weather database, validate your user number and weather data subscription, and import all missing mean daily temperature data for all subscribed stations.

NOTES:
It is also possible to import weather data using the channel data importer. Data formats are very flexible. Here’s an example of an Excel file format:




Column 1 (DEVICE) is the Weather Station three-letter ID. Column 2 is the DATE, in MM/dd/yyyy format. Column 3 is the TIME in HH:mm format. Column 4 is the DATA value.
It is also possible to import weather data using the Import Task [imptsk] function from the command line. Here is an example and explanation of each element:
The usage is:
imptsk -d [dsn] -u [user] -p [pwd] -c [converter] -f [path] -x -a [path] -l [path] -s [section] -v [verbose messages] -remote -t [traceID]
Where:
EXAMPLE: "c:\Program Files\EnergyCAP Enterprise\imptsk.exe" -d retailer -u kvs -p kvs -c STANDARD:SIMPLE_TEXT -f "c:\b-test\*.csv" -l "log.txt" -s MY_CHANNEL_PROFILE_NAME
You can enter weather data manually:

NOTE: If you have created additional data channels for a station, the calendar-like data entry form will not appear. You will see a different form that allows entry of hourly or 15-minute data observations.

EnergyCAP’s PowerViews panel gives you four charts for each weather station.
The two-year comparison chart allows you to compare one month over two years. The graph shows the comparison year (the later year) compared with a base year (the earlier year). The 0% line (see the arrow) means that the weather each year was the same for any months falling on the line. The comparison percentage is positive (above the line) when the comparison year's weather was more severe than the base (it was warmer in a summer month or colder in a winter month). The comparison percentage is negative (below the line) when the comparison year's weather was milder than the base (it was cooler in a summer month or warmer in a winter month).
Heating months are shown in red and cooling months are shown in green. This is helpful in understanding why a building's heating/cooling bills were more or less.

NOTE: When a month had fewer than 30 degree days, the percentage is set to zero. This is to prevent relatively insignificant weather variations from appearing to be large. For example, one year in Chicago June had 2 HDD and another year had 6 HDD. Although the second year had a 200% increase in heating degree days, it's misleading to draw any conclusions from this low number of HDD because heating systems were probably turned off.
The cumulative degree day charts are designed to allow you to compare one year's weather to another quickly as they relate to building energy usage. By comparing the cumulative degree days of one year with another year, you can see which year was more severe (more degree days) as it relates to heating and cooling needs. For example, if 2005 had 4,000 cumulative HDD and 2004 had 3,000 cumulative HDD, you can conclude that the 2005 weather was 33% colder and would have required about 1/3rd more heating energy.

NOTE: The charts in this example are shown on a July to June fiscal year basis. The month cycle is set in Tools >Options > Global > Settings, and conforms to the organization’s reporting cycle.
Use the Options shortcut button to establish viewing options. The first option sets the number of years displayed in the Heating and Cooling Degree Days and Mean Temperature charts.
The second option sets the base and comparison years shown in the Weather Monthly Degree Day Comparison chart.

It is possible to view and print a variety of specialized weather data reports (see Reporting >Reports > Weather Reports). Also, because weather data is a type of channel data, Channel Reports can be used to view and print weather data.
The Logical Device Code or Logical Device Name filter used in Channel Reports refers to the weather station code and display name.

All weather data, whether daily or hourly, is stored in EnergyCAP as channel data. This means that weather data can be reported and charted the same as any interval/channel data using Analysis > Charts (see Creating a Chart for further guidance).
In this case, the chart shows one year of daily mean temperature for LAX. It can be useful to add hourly weather data channels to electric meter interval data charts to illustrate the relationship between weather variables and a building’s electric demand and consumption.

You can create your own weather data channels if you want to track data other than mean daily temperature. Follow the example below to create a channel to track hourly dry bulb temperature in degrees F:
You will want to import channel data, rather than enter it manually, because there will be a lot of it. Follow the instructions in Importing Weather Data from Other Sources.
