HomeMy WebLinkAbout2003-10-28-UTIL-min.pdf Electricity Distribution Costs
Comparisons of Urban and Suburban Areas
Prepared by Paul Chernick and Patrick Mehr,
Lexington Electric Utility Ad-hoc Committee
(10/28/03)
1 Objective
A typical investor-owned utility ("IOU") serves a large territory that includes urban areas
and surrounding suburban (or even rural) areas. Each IOU charges the same rates to customers
throughout its service territory, regardless of location. In discussions about the formation of new
municipal electric utilities ("munis"), speculations have been advanced about the effect on cities
if suburban towns municipalize and cease to be served by the IOU 1 If distribution costs are
lower in suburban areas, and those communities depart, the IOU's average costs, and hence its
rates, will have to increase.2 If this "suburban flight" scenario were likely, and if distribution
costs were lower in suburban areas, it would legitimately be a matter of considerable concern for
city governments.
Whether municipalities will choose to form their own utilities will depend on many factors,
including the municipality's level of frustration with its IOU and the extent to which other issues
preoccupy the municipal government. The critical factor in the suburban-flight scenario is the
assumption that most suburban towns are less expensive to serve than most cities. Electricity
distribution costs are driven by the type of infrastructure necessary to serve the local customer
base. Certain features of the distribution infrastructure may, all other things equal, drive
electricity distribution costs up or down. Specifically, compared to the suburbs, urban areas tend
to have the following characteristics:
1 Forty-one munis already exist in Massachusetts.
2If municipalization simply allowed the communities with inherently lower costs to avoid the
averaging of their costs with those of inherently more expensive communities, it might have little real
benefit to the Commonwealth as a whole. A similar process, in which a competitor picks off the low-
cost customers of a utility that is required to charge equal prices to all customers, is called cherry-
picking. This is not a close parallel to municipalization, in which the "cherries" would be picking
themselves, but the same terminology has been used by opponents of municipalization.
1 A larger portion of the distribution infrastructure is underground, in vaults and conduit
under streets and sidewalks, rather than overhead, on poles along streets.
2. Construction and maintenance of the infrastructure is more difficult and expensive due to
high building density, lack of room for setting up construction equipment, more congested
streets, and higher real-estate costs for substations and other facilities.
3 The load density is higher, that is, each mile of distribution circuit serves more customers
and delivers greater amounts of electricity
In urban areas, item (1) increases distribution investment (but reduces maintenance cost,
since underground systems do not require tree-trimming and are less vulnerable to weather and
accidents), item (2) tends to increase distribution costs, while item (3) tends to decrease costs, all
compared to suburban areas. As the various characteristics of the distribution infrastructure
drive costs in different directions, it is not clear whether electricity distribution costs would tend
to be higher in urban or in suburban areas.
In principle, this question could be answered for the greater Boston area by computing
NSTAR's cost of distribution service separately for urban and suburban areas. Such an analysis
would require that NSTAR track its investments and operating costs for each community it serves
(or at least for groups of similar communities). So far as we know, NSTAR has not tracked that
information.
Absent the necessary cost information specific to the urban and suburban communities
NSTAR serves, this paper presents five alternative approaches to determining whether electricity
distribution costs are generally higher in urban than in suburban areas.
2. Comparisons Data and Analysis
2.1 Consolidated Edison's Analysis of Urban and Suburban Costs
We are aware of only one published direct comparison of distribution costs in urban and
suburban areas. In 1982, the staff of the New York Public Service Commission looked at the
differences in costs between the two areas served by Consolidated Edison: New York City and
Westchester The study found that "A significant reason for the differences" in the cost of
serving these areas was "the cost of the distribution system per unit of electricity sold.
Although the underground system in New York City is expensive, the number of kWhs
delivered per dollar of investment is very high. This means that expenses [are low] relative to
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revenues. Westchester, which is more suburban and rural in nature, has a low population
density This increases the unit costs. "3
In the study, Westchester was
• 11.8% of Consolidated Edison's sales, but
• 12.6% of the peak load,
• 14.3% of distribution plant investment,
• 14.9% of services and meters investment, and
• 14.5% of distribution expenses.
This study suggests that the cost of distribution for New York City, the most urban of
urban areas, is lower than the cost of providing service to its suburbs.
2.2. Comparison of Rates for NsTAR's Subsidiaries
NSTAR's electric service territory consists of three subsidiaries:
• Cambridge Electric Lighting (CELCo): serves only Cambridge; totally urban, with a very
high population density (about 30% higher than Boston's).
• Boston Edison (BECo): serves the city of Boston, several smaller cities (e.g., Chelsea,
Waltham) and the western suburbs, a mix of urban and suburban areas.
• Commonwealth Electric (CommElec): serves part of Southeastern Massachusetts and Cape
Cod, mostly suburban (or even rural) areas, with a small urban area (New Bedford).
We compared NSTAR's residential rates for each of the three subsidiaries (from
www.nstaronline.com), for customers with annual usage ranging from the average usage in
Cambridge (400 kWh/month) to the average usage in the BECo and CommElec territories
(about 600 kWh/month).4 Exhibit 1 shows the results of our comparison of both the "delivery"
3 Quotes are from "A Study of the Comparative Costs of Electric Service in Westchester County
and the City of New York," Berak, F., Arnett, H. Nadel, J, New York Department of Public Service
Power Division, Case 28157 January 29, 1982, pp. 4-5.
4 Commercial and industrial loads and customer mix vary more widely between utilities, and the
rates for those customers are more complex, making comparisons of rates more difficult and less
meaningful.
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rates—all charges except supplier services (NsTAR's costs of purchasing power for its
customers)—and distribution charges (just the customer and distribution charges).
Distribution costs for small, medium and large residential customers are the highest in
NSTAR's least-urban area (Commonwealth Electric) and the lowest in NsTAR's most-urban area
(Cambridge). Boston Edison distribution costs are in between, consistent with that service
territory being a mix of urban and suburban areas.
Exhibit 1 Comparison of NSTAR Company Residential Rates
Cambridge Boston Commonwealth
Electric Light Edison Electric
Service territory Cambridge Boston, New Bedford,
only suburbs Plymouth, Cape
Cod
Type of area urban mix urban, mostly suburban to
suburban rural
Customers per mile of line 46 30 18
% distribution underground 71% 34% 20%
Rate (residential)* 01 Al 32—Annual
Delivery service charges*
Customer (per month) $6.87 $6.43 $3.73
Distribution (per kWh) $0.02434 $0.03900 $0.04524
Transition (per kWh) $0.00308 $0.01813 $0.02717
Transmission (per kWh) $0.02366 $0.00733 $0.00534
Energy Conservation (per kWh) $0.00250 $0.00250 $0.00250
Renewable Energy(per kWh) $0.00050 $0.00050 $0.00050
Delivery cost(0/kWh)
400 kWh/month customer 7 1 8.4 9.0
600 kWh/month customer 6.6 7.8 8.7
Delivery cost(customer&distribution char es, it/kWh)
400 kWh/month customer 4.2 5.5 5.5
600 kWh/month customer 3.6 5.0 5.1
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2.3. PEPCo's Washington DC and Maryland Jurisdictions
We sought other examples, comparable to the NSTAR situation, in which an urban utility is
surrounded or adjacent to a suburban utility We looked first at the most densely populated cities
reported in the 2000 Census. Other than Cambridge, we did not find any cities served by an IOU
that did not serve at least the suburbs, and often other cities and rural areas as well. Exhibit 2
summarizes the results for the highest-density cities.
Exhibit 2: Highest-Density Cities in US 2000 Census
City Area Density
Population (mit) (pop/mi ) Utility Serves
(New York City, NY 8,008,278 303.3 26404 ConEd NYC &Westchester
(Paterson city NJ 149,222 8.4 17765 PSE&Glbig chunk northern NJ
(San Francisco, CA 776,7331 46.7 16632 PG&Ellarge &varied area
!Jersey City NJ 1 240,055 14.9 16111 PSE&G1big chunk northern NJ
Cambridge, MA 101,355 6.4 15837 CELColonly Cambridge
Daly City CA 103,621 7.6 13634 PG&Ellarge &varied area
Chicago, IL 2,896,016 227 1 12752 CommEdIChicago &suburbs
(Santa Ana, CA 337,9771 27 1 12471 SCEIServes cites, suburbs, rural
lInglewood, CA 1 112,5801 9.1 12371 SCEIServes cites, suburbs, rural
(Boston, MA 1 589,1411 48.4 12172 BEColBoston+ &suburbs
lEl Monte, CA 115,965 9.6 12080 SCEIServes cites, suburbs, rural
Hialeah, FL 226,419 19.2 11793 FP&Llmost of FL
(Newark, NJ 273,546 23.8 11494 PSE&Glbig chunk northern NJ
(Philadelphia, PA 1,517,550 135.1 11233 PEColPhiladelphia&suburbs
Yonkers, NY 196,086 18.1 10833 ConEd1NYC &Westchester
!Norwalk, CA 103,298 9.7 10649 SCEIServes cites, suburbs, rural
!Miami, FL 362,4701 35.7 10153 FP&Llmost of FL
lElizabeth, NJ 120,5681 12.2 9883 PSE&GIbig chunk northern NJ
(Berkeley, CA 102,743 10.5 9785 PG&Ellarge &varied area
!Providence, RI 173,618 18.5 9385 Narragansettlmost of RI
(Washington, DC 572,059 61 4 9317 PEPCo1DC & MD suburbs
None of these cities quite matches our criteria, but Washington comes close. While
Potomac Electric Power (PEPCo) serves both Washington and the Maryland suburbs, DC and
Maryland separately set rates for their areas, based on (among other things) the distribution
investment and expenses in each jurisdiction.5 We obtained PEPCo's basic residential rate
schedules and other data by jurisdiction from PEPCo's web site (www.pepco.com). As shown in
5 The Virginia suburbs are served by Virginia Power, which serves most of that state.
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Exhibit 3, the residential distribution rates for the urban part of the service territory are
substantially lower than those for the suburban portion.
Exhibit 3: PEPCo Urban and Suburban Rates
Service area Washington DC Maryland suburbs
Sq miles 68 572
Population served 572,000 1 450,000
Density (population/sq mile) 8,412 2,535
Type of area urban suburban
Summer Winter Summer Winter
Residential rates: (June-Oct) (Nov-May) (June-Oct) (Nov-May)
Distribution service charge
Minimum charge, including first 30kWh ($/month) $0.47 $0.47
kWh charge, next 370 kWh (0/kWh) 0.945 0.945
kWh charge, in excess of 400 kWh (0/kWh) 2.845 1.942
Customer ($ per month) $5.54 $5.54
kWh charge,first 800 kWh (0/kWh) 3.112 1.953
kWh charge, in excess of 800 kWh (0/kWh) 3.112 1.503
Transmission service charge
Minimum charge, including first 30kWh ($/month) $0.15 $0.15
kWh charge, in excess of 30 kWh (0/kWh) 0.521 0.521
kWh charge, first 800 kWh (0/kWh) 0.5141 0.514
kWh charge, in excess of 800 kWh (0/kWh) 0.514 0.514
Residential bill (855 kWh/month average, half in summer)(0/kWh)
Distribution only 1 74 3.17
Distribution &transmission I 2.26 3.68
2.4 Seattle and Environs
We also looked for suitable pairs involving large, but less dense, cities. Exhibit 4 lists those
cities, down to populations of 300,000, or about half that of Boston. Most of these are not useful
for our purposes, because the city is served by an IOU that also serves large surrounding
suburban and rural areas (e.g., Houston, Phoenix, San Diego and Dallas), or because the city is
served by a municipal utility, but the neighboring suburbs are served by an IOU with a mix of
urban and suburban, and sometimes rural, loads (e.g., Sacramento, Austin, San Antonio). In
southern California, both Los Angeles and several smaller nearby communities are served by
separate munis, but the smaller cities are about as densely settled as Los Angeles (with
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comparable customers per mile of line and percentages of underground distribution), and are
therefore not really good proxies for suburban towns in Massachusetts.6
Exhibit 4 Largest Cities in 2000 Census
Excludes Cities in Exhibit 2.
City Population Area(m12) Density(pop/mit) Utility
Los Angeles, CA 3,694,820 469.1 7876 Muni
Houston, TX 1,953,631 579.4 3372
Phoenix, AZ 1,321,045 474.9 2782
San Diego, CA 1,223,4001 324.3 3772
Dallas, TX 1 188,580 342.5 3470
San Antonio,TX 1 144,646 407.6 2808 Muni
Detroit, MI 951,2701 138.8 6854
San Jose, CA 894,943 174.9 5117
Indianapolis, IN 781,870 361.5 2163
Jacksonville, FL 735,6171 757 71 9711Muni
Columbus, OH 711 470 210.31 3383ICSP
Austin, TX 656,562 251.51 2611 Muni
Baltimore, MD 651 1541 80.81 8059IBG&E
Memphis,TN 650,100 279.3 2328IMuni
Milwaukee, WI 596,974 96.1 62121
El Paso, TX 563,662 249.1 22631E1 Paso Elec (also serves rural load)
Seattle,WA 563,374 83.9 6715IMuni
Denver CO 554,636 153.4 3616IPSCo
Nashville-DavidsonTN 545,524 473.3 11531Muni
Charlotte, NC 540,828 242.3 2232IDuke
Fort Worth, TX 534,6941 292.5 18281
Portland, OR 529,121 134.3 3940IPacifiCorp & Portland General Electric
Oklahoma City OK 506,132 607 8341
Tucson, AZ 486,6991 194 7 2500IAPS
New Orleans, LA 484,674 180.6 2684INOPSI
Las Vegas, NV 478,434 113.3 42231NV Power
Cleveland, OH 478,403 77.6 61651Muni &CEI
Long Beach, CA 461,5221 50.4 91571SCE
Albuquerque, NM 448,607 180.6 2484IPNM
Kansas City MO 441,545 313.5 1408KCP&L
Fresno, CA 427,6521 104 41 4096
Virginia Beach, VA 425,257 248.3 1713
6 We actually looked at all US cities with a population of at least 100,000.
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-i i
City Population Area(mit) Density(pop/mi2)1Utility
Atlanta, GA 416,474 131 7 31621
Sacramento, CA 407,0181 97.2 4187 Muni
Oakland, CA 399,484 56.1 7121 PG&E
Mesa, AZ 396,375 125 31711
Tulsa, OK 393,0491 182.6 2153
Omaha, NE 390,007 115.7 3371 Omaha PPD
Minneapolis, MN 382,618 54.9 69691
Colorado Springs, CO ! 360,890 185.71 1943 Muni
St. Louis, MO 348,189 61.9 5625
Wichita, KS 344,284 135.8 25351
Pittsburgh, PA 334,563 55.6 6017
Arlington, TX 332,9691 95.8 3476
!Cincinnati, OH 331,285 78 42471
!Anaheim, CA 328,014 48.91 67081Muni
Toledo, OH ! 313,6191 80.61 3891
!Tampa, FL 1 303,4471 112.11 2707
We considered Tennessee and Nebraska, because they are both served predominantly by
publicly-owned utilities, which generally have smaller and more homogeneous territories.?
Nebraska did not turn out to be useful, because the public power districts serve large areas. For A
example, the largest Nebraska city, Omaha, is served by the Omaha Public Power District,
which also serves 13 counties (and hence does not seem to be an urban utility). Tennessee
provided more useful information, which we discuss in the next section.
Otherwise, the only example we found in the data was that of Seattle, which is served by a
muni and has a total population and population density similar to Boston's, while the
neighboring Snohomish County (a largely suburban area) is served by a public utility district,
which is essentially a special-purpose muni. As summarized in Exhibit 5, we computed the
supply costs (purchased and generated power) for each of the utilities, and subtracted those
supply costs from the residential and overall rates charged respectively by Seattle and
Snohomish County to approximate their respective distribution costs (see Exhibit 3).8
We found that distribution rates, as approximated in this analysis, were higher in suburban
Snohomish County than in urban Seattle, both for residential customers and overall.
7 Nebraska utilities are all public; Tennessee has one small IOU
8 We do not provide similar comparisons for commercial, industrial and "other" customers because
those classes of customers are too varied.
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Exhibit 5. Comparison of Costs, Seattle and Vicinity
Year 2001 Snohomish
Utility Name Source Seattle Muni County PUD
Type of area urban suburban
Summer Peak (MW) EIA-861 1,234 901
Winter Peak(MW) EIA-861 1 755 1,286
Net Generation (MWh) EIA-861 3,929,875 612,783
Purch Util (MWh) EIA-861 3,905,212 7,022,820
Exchng-Net(MWh) EIA-861 2,902,435 -95,678
Total Source (MWh) EIA-861 10,617 126 7,539,925
Sales to Consumers(MWh) EIA-861 8,990,171 6,184,545
Frnshd W/O Chrg (MWh) EIA-861 78,740
Total Production Expenses ($1,000) EIA-412 403,151 369,121
Total Production Plant ($1,000) EIA-412 538,554 334,654
Carrying Cost of Prodn plant (%/yr) assumed 5% 5%
Cost of purchased &produced power
net of resale revs (0/kWh) Lex EUC 3.90 3.86
Retail Revenue ($1,000) EIA-861 503,437 395,501
Resale Revenue ($1,000) EIA-861 75,333 146,285
Rates(by class of customer) minus wholesale power analysis
Residential Revenues ($1,000) EIA-867 178,129 225,850
Residential sales (MWh) EIA-861 2,973,916 3,215,167
Residential customers (#) EIA-867 321 422 246,204
MWh/year per residential customer 9.3 13.1
Residential rate (0/kWh) 5.99 7.021
minus cost of power (0/kWh) 2.09 3.16
Total Revenues ($1,000) EIA-867 500,886 395,501
Total sales (MWh) EIA-867 8,974,215 6,184,545
Total customers (#) EIA-861 354,556 271 193
Total rate (0/kWh) Lex EUC I 5.58 6.391
minus cost of power net of resale revs (0/kWh) Lex EUC 1.68 2.53
2.5. Tennessee Municipal Utilities
There are 47 munis in Tennessee with more than 5,000 customers; each muni serves one or
more cities, and typically some surrounding areas as well. All those munis purchase their
wholesale electricity primarily from the Tennessee Valley Authority at similar prices. Therefore,
differences in rates should be driven primarily by differences in distribution costs. Given this
wealth of data, we decided to look at the effect of customer density on distribution costs (as
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reflected in rates) over the range of customer densities. We measured density as the ratio of the
number of residential customers per mile of distribution circuit each muni serves.9 Exhibit 6 is
our plot of the munis' residential rates as a function of customers per mile of distribution
circuits, including the linear trend line through the scatter plot.
Both the scatter plot and the trend line indicate that costs are lowest in the more urban
service areas and increase as the service area becomes more suburban or rural.
Exhibit 6: Rates and Density of Tennessee Municipal Utilities
Tennessee munis
00
4.
4 r~4-4
A f
C '
•
€ 6.50
d
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C
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5.50
5.00 15.00 25.00 35.00 45 00 55.00
# residential customers/total miles of distribution circuits
9 We used data from the Utility Data Institute's DarWin database for 1996.
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3 Conclusions
All five analyses presented above are consistent with the conclusion that electricity
distribution costs are lower in urban areas than in suburban areas.
• A full cost-allocation study with geographical accounting data for distribution costs
found that distribution was less expensive in New York City than in its suburbs.
• Among the three NSTAR subsidiaries, the least urban (Com Elec) has the highest
distribution rates, the most urban (Cambridge) has the lowest.
• The more urban portion of the PEPCo territory (Washington DC) has lower
residential distribution rates than the suburban (Maryland) portion.
• Seattle City Light has lower delivery costs for residential customers and on average
than the Snohomish PUD, which serves the surrounding suburban area.
• Among the Tennessee munis, all of which have essentially the same power supply,
residential rates are lowest for the munis with the highest density of customers per
mile of distribution circuits.
These analyses used all the viable approaches we could think of, short of performing a
geographic cost-allocation study for BECo. They compare different parts of the same IOU,
different IOUs owned by a holding company, and different publicly-owned utilities. They use an
analysis by a regulatory agency, rate schedules, and accounting data. They use data from the
1980s, 1990s, and 2001, as well as current rates.
They all reach the same conclusion. The suburban-flight scenario rests on an assumption
that is not only wrong, but backwards. If any group of municipalities have an economic
incentive to form municipal electric utilities, it seems to be the large cities, not the suburbs.10
Therefore, there is no reason to believe that making municipalization feasible in
Massachusetts would disadvantage the larger cities, or force them to pay higher rates. To the
contrary, an urban area such as Boston would benefit in three different ways from enactment of
Bill 111468.
10We expect that inherent cost differences between communities are unlikely to drive
municipalization. Some mix of low-cost and high-cost communities, urban, suburban and rural, may
become seriously interested in municipalizing, depending on how dissatisfied they are with their IOU
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• By making practical the option to form a muni, Bill H1468 will create a form of
competition for electricity distribution, thereby leading the IOU to provide better service
and lower rates everywhere, including in urban areas.
• Just as for a suburban community, the economics of forming a muni for a city may turn out
to be sufficiently attractive to warrant the effort, with possibly better service and
substantial savings on their electricity bills for residents, businesses and the City itself.
• If a typical suburban town buys out its portion of the IOU's infrastructure to form a new
muni, the remainder of the IOU's service territory, including the urban areas, will likely see
a reduction in the IOU's rates, since the IOU's average distribution costs will decrease
once the IOU no longer has to serve that high-cost suburb.
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