C2Luze09
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Transcript of C2Luze09
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Distribution Transformer
Size Optimization byForecasting Customer
Electricity Load
Jarrod Luze
Black Hills Power
Rapid City, South Dakota
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Introduction
Electric utilities face common challengesdetermining transformer sizes.
Study consists of 960 three phase pad-mounted transformers.
Research and categorization of existingtransformers
Ideal vs. actual benefit/cost analysis
Forecasting future customer power demand
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Study of Existing Transformers in Service
Compared kVA name-plate rating to peakdemand of customer
R+_ signifies that a transformer isundersized and would ideally require alarger transformer for the load.
R-_ signifies the transformer is under-loaded, and a smaller transformer wouldsuffice.
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Study of Existing Transformers in Service
Out of 960, 605 were oversized-63%
Over 10% at least 3 sizes too big
150 kVA, 300 kVA and 500 kVA are the leastaccurately sized
Very few transformers over-loaded
Overall results of study show an overlyconservative sizing method
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Existing Transformers in Service
E xisting T ransformers in S ervice
Transformer Classification
0%
20%
40%
60%
80%
100%
kV A kVA kVA kV A kV A kVA kV A kV A kVA kVA kV A
75 112 150 225 300 500 750 1000 1500 2000 2500
Transformer S ize (kVA)
3-PhasePadmounts
R -5
R -4
R -3
R -2
R -1
R
R +1
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Study of Existing Transformers in Service
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Financial Analysis
Capital expense of the equipment
Operating cost = No-load power loss
Wholesale electricity rate of $0.04/kWH
was used
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Financial Analysis Capital
Estimated by using the price of the mostrecently purchased transformer of thatsize
Sums entire purchase price* of the 960transformers (total capital expense)*Purchase price includes installation costs
Theoretical estimated purchase cost vs.actual estimated purchase cost
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Financial Analysis
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Financial Analysis Operating
No-load power loss (Watts)
Not considered: Full-load loss, repairs and maintenance
Conservative estimate
PF of 0.95 used, if unable to gatherfrom database
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Financial Analysis
No-Load Power Loss (O&M)
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Financial Analysis - Overall
Assuming sizing methods and results areconsistent for all BHP transformers
Three-phase, pad-mount share of the transformerpurchase cost is roughly 26% of the $2.5 million annual
transformer purchase cost budget
At 17%, $425,000 annual benefit
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Research Application
Increase efficiency from the sizingstatistics
Possibilities
Review current transformer placement,and change-out existing units based oneconomic feasibility.
Develop more accurate transformersizing method
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Forecasting Customer Electricity
Loads Many factors
Size of structure to be powered
General purpose of structure
Structural components
Machines and Appliances to be installed
Location
Personnel capacity of building orstructure
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Customer Categories
This study includes
Retail Stores
Business offices Apartments (gas heated, electric heat)
Many others to be considered, time-
constraints limit this study
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Data Collection and Calculation
Cooperation of Customers
Tax Equalization office supplied squarefootage information
Averages based on Peak kVA demands
Power factor assumed 0.95 if Unavailablein database
Calculations of W/sf, mA/sf Consistent values, low standard of deviation in
data
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Results Business Offices
Averaged 5.76 watts per square foot
Highest: 7.09 Lowest: 4.52W/sqft
Averaged 34% of Main Switch
Ampacity Mainly fluorescent lighting
Gas heated
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Business Offices
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Results - Retail Stores
Averaged 4.98 W/sqft
High: 8.13 / Low: 2.86
Averaged 46% of Main SwitchAmpacity
Mostly Fluorescent Lighting, some
spot lighting
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Retail Stores
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Results - Apartments
Gas Heated, summer peaking, 94.7% occ.
Averaged 1.42 W/sqft, 1.5 W/sqft @ 100%
High: 2.09 / Low: 0.82
Electric Heat, winter peaking, 81.5% occ.
Averaged 3.53 W/sqft, 4.3 W/sqft @ 100%
High: 4.14 / Low: 2.71
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Apartment Buildings
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Applications
Gives utility representatives statisticswhen discussing options with customers &contractors.
Presents evidence & factual history to helpdecide on transformer size.
Provides foundation and structure forfurther research of future demand andtransformer sizing.
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Summary
Sizing analysis shows significant costavoidance capabilities: 17% $425,000
O&M savings (NLL only) of 31%
Customer demand indicators may
help utility reps with transformersizing, and provide a basis toadvance research
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Questions?