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Anonymous Poster

Maximum Demand Calculation in Energy Meter

06/24/2010 5:11 AM

how is MD calculated with sliding window method?

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Power-User

Join Date: Nov 2008
Location: India
Posts: 333
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#1

Re: Maximum Demand Calculation in Energy Meter

06/24/2010 10:46 AM

can you please clarify further, what is meant by sliding window ?

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Power-User

Join Date: Feb 2010
Posts: 187
Good Answers: 11
#2

Re: Maximum Demand Calculation in Energy Meter

06/24/2010 4:11 PM

Sliding window method is in computer Networking and internet for data exchange. Please make your question clear?

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Guru
United States - Member - New Member

Join Date: Jun 2008
Location: Alabama
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#3

Re: Maximum Demand Calculation in Energy Meter

06/24/2010 8:12 PM

The Sliding Window is utility dependant but is usually 15 or 30 minutes. During this moving time period, the meter is measuring the max demands that occur. The meter continues to record the demands during the billing period (30 days). The billing demand is the highest average demand that occurred during one of these 15 or 30 minute periods.

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Anonymous Poster
#4

Re: Maximum Demand Calculation in Energy Meter

06/24/2010 8:21 PM

HE

We covered this is class. You should have been able to get this right.

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Power-User

Join Date: Feb 2010
Posts: 187
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#5

Re: Maximum Demand Calculation in Energy Meter

06/25/2010 1:22 AM

Mmm!

Same sliding window we have in computer for data package exchange and I went to the world of computer let me come back to electric. See below

Electric demand measurement methods vary amongst utilities. The method used by any sub-meter or modeling routine should replicate the method the power company uses for the relevant billing meter. For example, if the local power company is calculating peak demand using a 15 minute fixed window then the recording equipment should be set to record data every 15 minute. However if the power company uses a sliding window to record electric demand data, the data recorder should have sliding window recording capabilities. Such sliding window capacility can be duplicated by recording data on one minute fixed window intervals and then recreating the sliding 15 minute window using post processing software. Most often 15 minute fixed window measurements will represent sliding 15 minute data reasonabley well. However care should be taken to ensure that the facility does not contain unusual combinations of euqipment that generate high one minute peak load which may show up in a sliding window interval and not in a fixed window. After processing the data for the demand analysis the 15 minute data can than be converted to hourly data for archiving and further analysis against hourly weather data.

and also this link

http://www.eleconmeasurements.com/solutions/demand_monitor_controller.php

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