Demand Analysis Setup Guide
■Demand Analysis is a stand alone application that gathers measurements on power and outdoor temperature for a period of time, typically hourly data for one year.
■The Demand Analysis output is a set of regression coefficients that encompass the estimated demand as a function for the day type, the time of day, and an estimated or measured outdoor temperature. The output can be exported and imported into TERMIS Operation and used in connection with the update of consumer affiliations.
■Demand Analysis uses the following data to calculate the regression coefficients
▲Reference temperature that defines the typical temperature limit above which the room heating is typically neglected.
▲Measured hourly average values for power supplied to an area.
▲Measured hourly average values for outdoor temperature for a supplied area.
■Subsequently, the time and outdoor temperature dependent demand is calculatedin TERMIS Operation using the following formula:
▲For T
▲For T=>Tref:
▲E(t,i)=(A2(t,i)*T+B2(t,i))*EA
▲where
▲E Normalized power
▲EA Average power
▲T Outdoor temperature
▲t Time of day(hour)
▲i Day type
▲A1 Linear regression coefficient
▲B1 Linear regression coefficient
▲A2 Linear regression coefficient
▲B2 Linear regression coefficient
■The linear regression coefficients are calculated using the least square method finding two contiguous lines using the defined historical data.
■The illustration shows(to the left) how data from the Data Manager database is sent to Demand Analysis and, via a table, further on to TERMIS Operation.
■The demand in TERMIS Operation is expressed as a normalized power value(based on regression coefficients) multiplied by a node dependent nominal power. For cyclic simulations the estimated outdoor temperature is typically a meteorological forecast.
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User's Guide |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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2012/8/28 |
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Version1.0 |
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344 KB |
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