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CITY COUNCIL WORK SESSION
July 11, 2017
4:00 PM, City Council Chambers
MEETING AGENDA
I. Aspen's Water Future: Headwater Corporation's demand risk analysis
II. City Offices: Financing options and next steps
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ASPEN CITY COUNCIL WORK SESSION
MEMORANDUM
TO: Mayor and City Council
FROM: Margaret Medellin, Utilities Portfolio Manager
THRU: Scott Miller, Director of Public Works;
Dave Hornbacher, Director, Utilities and Environmental Initiatives;
DATE OF MEMO: July 7, 2017
MEETING DATE: July 11, 2017
RE: Risk Assessment of Aspen’s Water System - Work Session
SUMMARY: On October 10, 2016, Council passed Resolution #141, Series of 2016 directing staff to
implement certain water management measures to improve resiliency against future climate change
impacts and other system changes while continuing efforts to maintain diligence for two conditional water
storage rights on Castle and Maroon Creeks. Included in this Resolution was direction to further refine
Aspen’s future water supply and demand. To this end, Aspen contracted with Headwaters Corporation to
perform a risk assessment of Aspen’s Water System, now and through 2065. During the July 11th work
session, staff and its consultant will provide Council a status report on current findings and then will ask
Council for some direction on specific decision points.
Headwaters Corporation is performing a risk analysis of Aspen’s Water System to determine the City’s
level of risk for experiencing shortages in its water system through 2065. The goals of this analysis
include the following items:
1. Identify key variables that drive the system’s supply and demand projections
2. Calculate the probable range of water shortages now through 2065
3. Determine actions that can minimize short- and long-term uncertainty with supply and demand
4. Consider the probable, worst-case scenario(s) for water shortage for year 2065
When considering water needs fifty years into the future, all communities must grapple with uncertainties
and can only make projections based on the best information available today. The goal is to work with a
vision of the future that Council can agree on and to ascertain Council’s risk tolerance based on the best
data we have.
PREVIOUS COUNCIL ACTION: At the March 20, 2017 Council work session, Dr. George Oamek,
consultant with Headwaters Corporation, was introduced to City Council. Dr. Oamek discussed the risk
analysis that he is conducting for the City on its water supply and demand projections. At the July 11th
work session, Dr. Oamek will provide Council with an update of his findings and seek Council input on
some variables so the report can be updated for the next work session.
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DISCUSSION: The Risk Assessment of Aspen’s Water System report reveals our areas of vulnerability
in the system and identifies areas of improvement to reduce uncertainties in the future. This report is the
basis for today’s discussion, which is aimed toward a specific goal: What’s the best decision we can make
with regard to water storage needs through 2065 given that there are some uncertainties in the data. To
reach this goal, staff will discuss with Council the areas identified in the Risk Assessment that need
immediate refinement based on current legal challenges and the desire to reach a settlement with opposers
in our conditional water storage rights court case. In a future work session staff will discuss other areas of
refinement that are not imminently related to the lawsuit. This is the first of many discussions on
reaching a decision on water storage needs. Integral to this conversation is both a look at supply and
demand.
Although there are levels of uncertainty in the data on supply and demand, one thing is clear: during peak
summer use, Aspen has less than a day of raw water storage. This means that the City of Aspen would
have difficulty getting water to customers’ taps after a day’s time if for any reason Castle and Maroon
stop flowing, for instance due to wildfire or avalanche. This lack of storage is also significant during dry
periods when the flow into Aspen’s system does not meet the demand of its customers.
For the purposes of this discussion and long-range planning it is important to consider “worst-case
scenario” as the situation to plan for. Defining the worst-case scenario is integral to our discussion on
what constitutes a “water shortage”. Worst case scenario planning is essential to determine how Aspen’s
Integrated Water System can be expected to perform during the most extreme, yet probable conditions.
Aspen has been collecting data on its water system, both supply and demand, since the water department
was established. For this analysis, historic records were reviewed and, as appropriate, incorporated into
the risk analysis.
Results of this analysis are meant to frame the level of risk that is appropriate for the City’s long-range
water planning. This analysis does not intend to prescribe how the City should develop, but rather to
inform current leaders and provide future leaders the ability to meet an uncertain, yet probable, future. In
addition, this effort is not intended to describe the best alternatives for meeting future needs or best
management practices to reduce this vulnerability.
Areas for Immediate Refinement (Variables)
1. Future Expansion of the Water Service Area – Should Aspen consider expansion of the water
service boundary?
2. Definition of Shortage – What level of instream flow and municipal water supply does the City
want to maintain?
Questions
· Should the 2% growth caps be applied uniformly across all types of residential and commercial
land uses, or should different rates of growth for different types of residential and commercial
properties be assumed?
· What types of land use should be assumed to grow faster, or slower, compared to others?
· Is there a range of land use growth rates that should be considered in this effort?
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Future Expansion of the Water Service Area
In the last few years, the City has received annexation requests for county parcels located adjacent to the
City boundary. Additionally, the Water Department receives service requests from properties outside of
the City boundary, where Aspen does not have planning jurisdiction. Staff recommends a specific policy
be created to assist in the evaluation of future annexation and service requests. In addition, Aspen has an
existing annexation plan, but it focuses on the legal process for annexation, rather than broader policies
that should guide decisions on annexation.
To determine the worst-case scenario using the best data currently available, staff would like to discuss
the following with Council:
Question
· Is there an upper limit to expansion of the water service area that should be used in this analysis?
Definition of Shortage
The definition of a water shortage has traditionally been defined as periods when flows in Castle and
Maroon Creeks are insufficient to meet Aspen’s baseline municipal demand without reducing minimum
instream flows. Changing the definition of a water shortage would change the level and occurrence of
shortages.
Of immediate concern for determining the worst-case scenario, staff would like to discuss:
Questions
· Does Council want to revisit its policy on protecting instream flows?
· Would the City be willing to chronically reduce instream flows to meet potable demands?
· How many hours/days or raw water storage is necessary for Aspen’s risk tolerance?
· What does a worst-case scenario mean to you?
COUNCIL DIRECTION REQUESTED: During the work session, Council is asked to provide
direction regarding:
· Answer questions posed regarding three areas of refinement
· Begin to assess the level of risk appropriate for Aspen’s Water System
ENVIRONMENTAL IMPACTS: The City is committed to reducing its footprint (carbon and water)
and fighting climate change, but even with this effort and action the City recognizes that it is best practice
to plan for a future that looks very different than today. Incorporating risk into the City’s demand and
supply projections is necessary to ensure the resiliency of its water system.
BUDGET IMPACT: Funds to support the work associated with Aspen’s Water Future was included in
the recently adopted spring supplemental budget.
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CITY MANAGER COMMENTS:
ATTACHMENTS: Attachment A – Risk Assessment of Aspen’s Water System Memo, Headwaters
Corporation
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405 Urban Street, Suite 401, Lakewood, CO 80228• (720) 524-6115 • Fax: (720) 524-6347
MEMORANDUM
TO: MARGARET MEDELLIN, CITY OF ASPEN
CC:
FROM: GEORGE OAMEK
DATE: JULY 3, 2017
SUBJECT: RISK ASSESSMENT OF ASPEN’S WATER SYSTEM
Introduction
The City of Aspen has contracted with Headwaters Corporation to develop a framework for assessing
the risk of water shortages to the City, primarily utilizing existing studies and data, including the recent
Water Supply Availability Study.1 This methodological framework has been developed and is currently
being used to make preliminary assessments of the City’s ability to both provide water to its residents
and meet bypass flow commitments, over a wide range of possible future conditions. The assessments
are preliminary because some of the data is still in the development stage and many of the assumptions
would benefit from additional discussion, including additional input from City staff, the City Council, and
stakeholders. The wide range of future conditions address inherent uncertainties in year-to-year water
supply, the potential impact of climate change on available water supply, and impact of alternative
future development paths on the demand for water.
Water Shortages and Risk
The terms shortages, risk, and uncertainty are used repeatedly throughout this memorandum, as well as
references to the method of Monte Carlo simulation. These terms and the methods require a brief
background discussion.
Water Shortages
For this effort and in previous studies, a water shortage is defined
as periods when flows in Castle and Maroon Creeks are insufficient
to meet Aspen’s baseline municipal demand without cutting back
supplies for downstream irrigation users or decreed instream
flows. Previous studies have found that instream flows bear the
brunt of most shortages except for the most severe years.
Similar to previous studies, this effort focuses upon the number
and severity of shortages during a representative hydrologic
period of record. This period of record is discussed in subsequent
sections. Although it is uncertain how severe shortages may be
allocated between the City and instream usage, this analysis will
indicate when a simulated shortage exceeds the instream flow decrees.
1 Wilson Water Group. 2016. City of Aspen Water Supply Available Study, 2016 Update.
The definition of a water shortage
has traditionally been defined as
periods when flows in Castle and
Maroon Creeks are insufficient to
meet Aspen’s baseline municipal
demand without reducing
minimum instream flows.
Changing the definition of a water
shortage would change the level
and occurrence of shortages.
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The possibility of shortage is inherent in any water system, but requires greater focus for systems like
Aspen’s which are greatly dependent on highly variable surface water flows. Many water providers use
water storage to hedge against short-term disruptions, seasonal supply risks, as well as longer-term
drought risks. Currently, Aspen’s raw water storage is very minimal and is more often expressed in
hours of available water rather than in volume. Any sort of shortage or disruption to the raw water
supply lasting more than about 12 hours will likely create a potable water shortage.
Risk and Uncertainty
Previous efforts examined risk in the following manner:
• Water supply risk was addressed by a historic hydrologic period of record intended to represent
the full range of possible good and bad years.
• The risk of climate change was addressed in the Wilson Report by examining six alternative
water supply scenarios incorporating various climate change impacts. These estimated impacts
were considered most likely to occur when the data was developed, approximately 5 to 10 years
ago.
• Demand risk was assessed considering a number of alternative future growth scenarios.
This effort supplements the Wilson Study in several ways intended to more accurately represent the full
range of risk for shortages:
• Water supply risk is initially assessed using the same hydrologic period of record. However,
digging deeper into the hydrology indicated that some adjustments to the hydrology data
introduced more uncertainty to the water supply than previously reported. This effort has
explicitly examined these adjustments and is also using stochastic hydrology methods to
potentially extend the data’s usefulness.
• A wider range of possible climate change impacts are being considered compared to the
previous analysis. More contemporary climate change modeling suggests impacts could be
significantly more severe than previously considered, especially in the Colorado River basin.
• Demand risk is focused upon the build-out of existing City water service areas and the likelihood
of the City extending service to additional areas.
Monte Carlo Simulation
An alternative method to those historically used for assessing the range of supply, demand, and climate
change possibilities is Monte Carlo simulation. Although the term Monte Carlo suggests a gaming
application, this method of simulation has wide application and acceptance, including for water
resources planning, financial planning, and energy exploration.
The benefit of Monte Carlo simulation is its ability to simultaneously consider a large number of
combinations and uncertainties, far more than the handful previously considered. As a greater number
of combinations are created through Monte Carlo simulations, a statistical picture begins to develop
regarding the probability and severity of shortages over the hydrological period of record. That is, how
often does demand exceed supply given these various combinations of uncertain supply, demand, and
climate change values.
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How these combinations are “matched-up” depends on the assumptions made about the uncertain
variables. Input values used in a Monte Carlo analysis are, in technical terms, probability-weighted
because the analyst assigns probabilities to their frequency of occurrence. These probabilities describe
how the variable might range around its estimated value. Some probabilities can be described with a
normal, bell-shaped, distribution, meaning that it is equally likely that the value might fall below or
above its estimated value. Figure 1, below, is a depiction of a normal distribution for a hypothetical
example. As can be seen, the distribution is symmetric around the expected value of 180 in this
example.
Figure 1. Hypothetical Example of a “Normal” Statistical Distribution
Figure 2 illustrates an alternative depiction of this variable as having skewed characteristics. The mean
is the same, 180, but there is a higher probability that the value is higher than 180 than below it.
Alternatively stated, the distribution in Figure 2 has a long tail, indicating that although the probability is
small, a large impact is possible.
Figure 2. Hypothetical Example of a Non-Normal Skewed Statistical Distribution
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Variability in time series and cross-sectional data is often used to assist in developing these distributions,
although informed judgment may also play a role when data is lacking. Many uncertainties in water
planning are non-normal, or skewed, in nature because they are influenced by sometimes erratic
weather patterns with periodic extreme events. Monte Carlo simulation is the best tool available for
incorporating combinations of these skewed characteristics.
Given assumptions about the uncertainties affecting Aspen’s water reliability and their statistical
characteristics, what sort of output can be expected? Figure 3 is an example of the type of output that
Monte Carlo simulation can create. It shows a hypothetical output that summarizes the number of
shortages in excess of a given threshold, 1,000 acre-feet per year, over a 25-year period of record. As a
result of variables that have non-normal distributions, the graphic shows that most of the time there are
only 2 instances when shortages exceed 1,000 acre-feet over the period of record. However, it is much
more likely that there will be more shortages of this magnitude rather than fewer. There may be as
many as 7 or 8. Again, the example is hypothetical, but this type of data tells decision makers that
reliance upon averages and most likely values does not always paint the full picture.
Figure 3. Example Monte Carlo Output for Hypothetical Example
Organization
Although the focus of the analysis is intended to address long-term water supply and demand, this effort
is also helpful in addressing shorter-term risks such as natural and man-made disruptions to the source
water supply. However, longer-term water supply and demand issues are primarily discussed here. The
exception are several operational issues that have been identified during the course of meeting with
City staff. These issues are included after the Demand discussion. Current efforts have focused upon:
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• The quality of the data and assumptions used in the analysis
• Using sensitivity testing to identify the assumptions most significantly impacting the number and
severity of possible future water shortages
The remainder of this memorandum discusses the data and assumptions, and the results-to-date of the
sensitivity analysis. The modeling framework itself is briefly summarized below, with the following
discussion focusing upon water supply, climate change, and water demand.
The Modeling Framework
Similar to previous water supply assessments, the framework is based on a water balance model for
each of the two basins providing the City’s water supply, Castle Creek and Maroon Creek. To
summarize, a portion of the water flowing at the City’s diversion points in each creek is diverted to meet
the City’s instantaneous demands, with the rest bypassed to meet instream flow obligations and
downstream demands, prior to the confluence with the Roaring Fork River.
However, the differences between the modeling framework developed in this analysis and that used in
previous assessments are significant.
• The current effort incorporates a weekly time step rather than a monthly time step, such as
used in the Wilson Report. This finer resolution allows the model to better incorporate periodic
peak demands upon the system, including those experienced during hot summer periods, major
events, and major holidays.
• A demand component has been added that examines water demand by types and timing of
usage.
• Critical assumptions affecting water supply and demand have been isolated and examined in a
probabilistic framework using Monte Carlo simulation, as described above. This recognizes that
significant uncertainties exist about the impact of future events, most notably the impact of
climate change on the timing and volume of run-off, and impact of alternative demand
scenarios. Also, uncertainties in the hydrologic period of record underlying the previous and
current analyses are also closely examined.
Water Supply
The water supply component of this effort involved assessment of the hydrologic data, and the potential
impact of climate change. A benchmarking study was also developed and is discussed in one of the
latter sections of this memorandum.
Hydrology Data
The accuracy and sufficiency of the hydrologic dataset historically used for this analysis is questionable
and it is uncertain whether the historic period of record adequately captures the variability of annual
streamflow. This statement is based on relatively little raw streamflow data on Castle and Maroon
Creeks and inconsistencies in location and timing of measurements, reducing the usefulness of the
available data.
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The hydrologic dataset is limited to the years 1970 through 1994, the only active years of water
measuring gauges on Castle and Maroon Creek, respectively.2 These
gauges were located high in the basins, a significant distance from the
City’s water treatment plant diversion points, with a number of
intervening creeks and diversions along the way. As a result,
adjustments had to be made to the upstream gauge data to reflect
these creeks and diversions and approximate flow at the City’s
diversions.
These adjustments have previously been made with either single value scalars or linear regression
equations. In terms of magnitude, and based on a limited number of data points, the firm Enartech and
later Grand River Consulting estimated that these factors were in the range of 2.3 to 2.65 for Castle
Creek and in the range of 1.25 to 1.4 for Maroon Creek, depending on the method used. That is, flows
at the City’s Castle Creek and Maroon Creek diversions were 2.3 to 2.65 times the upstream gauged
Castle Creek flow, and 1.25 to 1.4 times gauged flows for Maroon Creek.
The 1994 Enartech analysis assumed the factors were 2.3 for Castle Creek and 1.25 for Maroon Creek.
Later, the Wilson Report incorporated factors that were in the range of 2.65 and 1.40 for Castle Creek
and Maroon Creek, respectively.3
The firm AMEC examined the hydrology of Castle and Maroon Creeks as part of a 2011 evaluation of a
potential Castle Creek hydropower facility and made the same observations as those above.4 In
response to their concerns about the adjustment factors, they re-estimated the factors using two
alternative methods: a drainage area approach and the use of resident USGS software that estimates
flows on non-gauged waterways. The drainage area method resulted in factors of 2.16 and 1.18 for
Castle Creek and Maroon Creek, respectively. The USGS regional model indicated that for Castle Creek,
these factors ranged from less than 2.00 to about 2.2, depending on the month considered. For Maroon
Creek, these factors ranged from 1.06 to 1.10. Table 1 summarizes the differences in these adjustment
factors.
2 In 2012, a new gauge was placed on Castle Creek below the City’s water treatment plant diversion.
Unfortunately, due to a lack of funding, this gauge is no longer operating.
3 The adjustment process was severely limited by lack of data and when it was collected. Only eight comparable,
paired measurements from Castle Creek and one paired measure ment on Maroon Creek were usable in the
analysis due to adverse conditions during data collection. In addition, these measurements were made during an
above average baseflow period, following a very wet year, which may have tended to bias estimates upward with
respect to flow. Stream flow occurring during critical drought periods has not been measured at the City intake
facilities on either Castle Creek or Maroon Creek. Enartech fully appreciated these shortcomings and
conservatively used minimums of their measurements to reduce the possibility of over -estimating available water,
but observed that “if actual dry year discharge is less than projected … the amount of water available for diversion
by the City may have been overestimated in this study.” The gravity of their statement reflects that the City’s
future water resource decisions could partially depend on the accuracy of a scalar developed from a handful of
observations taken during a wetter than average year.
4 AMEC. Preliminary Review of City of Aspen’s Proposed Castle Creek Hydroelectric Project. Prepared for Pitkin
County, Colorado January 21, 2011.
The quantity and quality of
hydrologic data for Maroon and
Castle Creek add considerable
uncertainty to flow projections.
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Table 1. Range of Flow Adjustment Factors for Castle and Maroon Creeks
Source of factor Castle Creek Maroon Creek
Wilson Report, 2016, citing a linear
regression method
2.65 1.4
Enartech, 1994, using limited
paired data
2.30 1.25
AMEC, 2011, using a drainage area
method
2.16 1.18
AMEC, 2011, using USGS
procedures
Ranges by month between 1.85
and 2.36
Ranges by month between 1.02
and 1.11
The differences in these adjustment factors across methods have significant implications. Using the
higher factors, the Wilson Report concluded that under baseline 2064 demands and no climate change,
Aspen’s water supply was adequate to meet all potable and instream demands. No shortages were
shown during the 1970 to 1994 period of record. Figure 4 shows that if an alternative set of adjustment
factors are used, 2.10 and 1.10 for Castle and Maroon Creeks, respectively, shortages appear in over 10
of the 25 years during the 1970 to 1994 period of record. With the possible exception of 1977, these
shortages apply to instream flows and not potable water supplies. However, Figure 4 illustrates that
equally reasonable assumptions about flow adjustments can significantly affect results. The Wilson
Report did not mention the AMEC effort or the impact of the uncertainty surrounding the flow
adjustment factors.
Figure 4. Shortages to Instream Flows Using Alternative Adjustment Factors for Castle and
Maroon Creek Flows. Note: the Wilson Report reported no shortages with all other assumptions
remaining the same.
0
200
400
600
800
1,000
1,200
1,400
1,600
1,800
2,000
Shortage Volume [AF]Year
City of Aspen Annual Water Supply Shortage, WY 1970 -1994
Annual Shortage Volume Average Annual Shortage Volume
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The adjustment factors are clearly important and as such the current effort incorporate their
uncertainties. In response, the flow adjustment factors have been defined as a random variable in
future Monte Carlo simulations and the following preliminary assumptions have been made about how
they may vary (Table 2).
Table 2. Assumptions about Flow Adjustment Factors Incorporated into the Uncertainty Analysis
Parameter Castle Creek Maroon Creek
Most likely value 2.30 1.25
Low range 2.16 1.05
High range 2.65 1.40
The assumptions in Table 2 translate to a slightly skewed Triangular shape of statistical distribution,
shown for Castle Creek in Figure 5, below. It implies that in most simulations, the flow adjustment
factor is most likely to be near 2.3, but it will vary between 2.16 and 2.65. The Triangular distribution
was assumed because it requires only three points to be identified, the low, most likely, and high values.
However, this assumption may be refined as more flow-related data is reviewed and developed.
Figure 5. Assumed Statistical Distribution for the Castle Creek Flow Adjustment Factor
Period of Record
The years 1970 through 1994 were described by the 1994 Report as containing the most severe years on
record, but goes on to observe that severely dry years did not occur in succession, like they may have
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during the 1950’s.5 Nor does the data contain the years since 2000, when Colorado has experienced
statistically significant higher average temperatures compared to 1970 through 1994. This increase is
shown in Figure 6. Also, since the period 1970 through 1994 mostly pre-dates the establishment of
statistical trends showing warming in Colorado, any climate change-based impacts occurring between
1994 and the present are likely not reflected in the data.
Extending the hydrological record to include the entire 1950
through present period is desirable in order to better
quantify the variability of flows, the frequency of critical
years, and the possibility of successive critical years.
However, for this analysis, more extreme and frequent
hydrological events are being simulated to test the
sensitivity of the period of record.
Figure 6. Colorado average annual temperatures (F) from 1900 to 2012. Note: annual temperatures
are shown as departures from a 1971-2000 reference period. The orange, red, and dark-red lines are
100-year, 50-year, and 30-year trends in temperatures, respectively. All three are statistically
significant. (Source: NOAA NCDC)
Climate Change
An important component of this effort is to assess the possible impacts of climate change. Recall that
the Wilson Report examined 5 climate change scenarios with varying levels of impact to flow patterns,
concluding that climate change would adversely affect Aspen’s water supply, but not to a level requiring
5 Precipitation data and snowfall data from the Aspen Station indicate that all years but one between 1952 and
1958 had less total precipitation than 1977. The year 1953 had substantially less snowfall than the 1977 water
year, but the remaining years had more snowfall than 1977.
Uncertainties associated with the
limited period of record are
considered by varying the range of
flow adjustment factors.
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additional infrastructure, such as a storage reservoir. Since the development of these 5 climate change
scenarios, there have been questions as to whether a wider range of impacts should have been
considered, especially those based on the greater resolution provided by more recent research.
Regardless of the answer, it should be noted that much of this recent research has not yet been
downscaled to a level applicable to Castle or Maroon Creeks, or the Roaring Fork Valley. Although
various efforts are underway at the State and major water provider level to adapt this data at a basin
level, it is not likely to be available in the immediate future.6
More recent climate change research indicates that impacts to flows in the Colorado River and its
tributaries may be much more severe than previously thought. Climate change-induced changes to flow
volumes on Castle and Maroon Creeks are shown in the Wilson Report to range from about +9% to -
19%. Recent research suggests the following:
“Recently published estimates of Colorado River flow sensitivity to temperature combined with a large
number of recent climate model-based temperature projections indicate that continued business-as-
usual warming will drive temperature-induced declines in river flow, conservatively −20% by midcentury
and −35% by end-century, with support for losses exceeding −30% at midcentury and −55% at end-
century. Precipitation increases may moderate these declines somewhat, but to date no such increases
are evident and there is no model agreement on future precipitation changes. These results, combined
with the increasing likelihood of prolonged drought in the river basin, suggest that future climate change
impacts on the Colorado River flows will be much more serious than currently assumed, especially if
substantial reductions in greenhouse gas emissions do not occur”.7
Climate change and its uncertain impacts will ultimately affect Castle and Maroon Creeks through the
timing and quantity of their future flows. Snowmelt run-off will likely occur earlier in the year over time
and the total volume of flow may or may not decline over time. These impacts will be reflected in their
hydrographs that show flows over the course of a representative year, at a specific point in the basin.
It should be noted that the existing hydrographs account for existing water use, or evapotranspiration
(ET), based on current upstream land uses. With warming associated with climate change, upstream ET
will likely increase and further impact the resulting hydrograph, regardless of the precipitation impacts.
This increase in ET may also affect Aspen’s customers through an increase in outdoor water demand.
To assess overall possible impacts of climate change to the hydrographs, a utility was embedded in the
modeling framework which allows the model user to specify changes to the hydrographs’ timing and
shape. By specifying 3 variables related to the timing of peak flows and the impact to total flow volume,
a wide range of potential impacts can be considered. Figure 7 illustrates the baseline hydrograph for
Maroon Creek and a modified hydrograph based on a single set of alternative assumptions about long-
term timing and flow impacts associated with climate change. Sensitivity analysis using Monte Carlo
simulation has been used to examine a large number of combinations of timing and flow impacts.8
6 http://onlinelibrary.wiley.com/doi/10.1002/joc.4594/full
7 Udall, et al. http://onlinelibrary.wiley.com/doi/10.1002/2016WR019638/abstract, l
8 Exclusively for purposes of assessing sensitivity between water shortages and possible climate change impacts,
the Monte Carlo analysis assumed that peak demands could be experienced anywhere from 0 to 6 weeks earlier
over the year, each with equal probability of occurring. It was assumed that annual average flows were most likely
to decrease 20% per year, but this range could vary from +10% per year to -40% per year. These ranges are
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From this sensitivity analysis, it appears that climate change could indeed have an impact on the Aspen
water supply. However, it has been interesting to note that the timing of the flows, expressed in terms
of how many weeks peak flows are accelerated, has so far had a significantly smaller impact on the
number of possible shortages compared to the possible impacts to overall volume of flows. As one
might expect, the greater the decrease in overall flow, the greater the number of possible shortages.
To best incorporate current climate change knowledge, this effort is working with the City’s climate
change staff and their associates to incorporate recent data and plausible ranges of data into the current
modeling framework. The potential impacts of climate change will remain highly uncertain, but this
effort is attempting to bracket the potential range of impacts and assess their implications on the
number and severity of water shortages.
Figure 7. Example of Existing and Hypothetical Modified Hydrograph
thought to bracket possible impacts. It is important to note that, so far, these assumptions are only for purposes
of testing sensitivity.
0.0
25.0
50.0
75.0
100.0
125.0
150.0
175.0
200.0
225.0
250.0
275.0
300.0
325.0
350.0
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51Average Weekly Flow [cfs]Week of Water Year (starts October 1)
Maroon Creek above Aspen, Average Weekly Flow 1970-1994
Average Weekly Hydrograph, WY
1970-1994
Modified Hydrograph
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Combined Uncertainties of Water Supply
It should be noted that, so far, five uncertain variables have been identified and incorporated into the
water supply uncertainty analysis, two involving flow adjustments Castle Creek and Maroon Creek,
respectively, and three involving how the hydrograph may shift in response to climate change. The
statistical parameters, or characteristics, associated with these variables, such as their most likely
values, standard deviation and skew, are still being
investigated. However, even with preliminary estimates of
these parameters, meaningful sensitivity analyses are
currently being conducted to test the importance of each
variable in determining the frequency and severity of any
water shortage.
Water Demand
In contrast to water supply and climate change, future water demand is an area in which the City has
some degree of control. In order to finalize the demand projections, input from the City about how
Aspen will plan for growth within its water system is needed.
However, prior to acquiring this input, a sensitivity analysis is being conducted to test the response of
increasing demand and changing demand usage characteristics to the frequency and severity of possible
water shortages. Variables being considered in these preliminary sensitivity tests include residential
occupancy rates, single family residential outdoor water usage, and total overall 2064 demand.
Previous Water Demand Estimates and Water Production
The water demand portions of three previous studies have been evaluated, as well as historical water
production at the water treatment plant (WTP).
Enartech
The 1994 Enartech Report examined 6 alternative demand scenarios, primarily using a land use
approach to estimate 2010 development levels and associated water demand for each. The scenarios
were developed by City staff and represented increasing larger service areas for the City’s water utility.
It appears a significant effort went into developing these scenarios and much of the information
regarding the extents of various possible water service areas and their build-outs is still applicable.
As illustrated in Figure 8, the 1994 estimates anticipated that total demand, expressed in acre-feet per
year, would increase to a range of 4,500 acre-feet to 6,000 acre-feet per year, depending on which
scenario is selected. The 4,500 acre-feet demand reflects build-out of Aspen’s incorporated and
annexed areas. The 6,000 acre-feet demand reflects complete buildout of the Aspen metropolitan area.
It is noted that actual 2010 usage was less than 3,000 acre-feet that was projected. A major reason for
the divergence between estimated and actual usage was due to adoption of water conservation by
Aspen’s customers as a result of low flow plumbing fixture codes and frequent renovations of existing
dwelling units in the Aspen area. The remainder of the difference was likely due to slower than
anticipated development.
Uncertainties associated with
climate change are considered by
varying peak flow and annual
runoff volume.
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Aspen Water Efficiency Plan
The 2015 Aspen Water Efficiency Plan (WEP) broke-down current demands by usage characteristics,
ranging from single family residential, multi-family residential, commercial, public facilities, and others.9
For the baseline analysis, demand in each category was extrapolated to 2035 using a 1.2% growth rate,
the same anticipated population growth rate embodied in the 2016 Wilson baseline analysis. This
implies the mix of land uses stays constant over time. The WEP also developed passive and active
conservation policies, the latter of which includes a focus upon reducing outdoor irrigation usage. A
result of these efforts is the Water Efficient Landscape Ordinance, recently passed by the Aspen City
Council.
The water usage estimates developed in the WEP are shown in Figure 8 for the baseline and active
conservation scenarios. The active conservation scenario shows a significant flattening of demand over
the next 20 years. Whether that flattening can be maintained past 2035 is not addressed.
Wilson Report
The 2016 Wilson Report’s baseline analysis extrapolates 2012 treated water demand through 2064 at
the anticipated population growth rate of 1.2%. No change to demand patterns for either indoor or
outdoor usage is assumed. An alternative demand estimate was developed that assumed that new
demands served outside the City would be exclusively for indoor water usage, although this policy is not
currently in effect and would be subject to review. These future estimates are shown in Figure 8.
Water Production at the Water Treatment Plant
Alongside of the future demand estimates made at various times, Figure 8 also shows historical water
production at the WTP for the years 1994 through the present. Several issues become apparent:
• Overall water production followed a downward trend through the period 1994 through 2010,
corresponding to significant gains in conservation due to water conserving plumbing codes and
behavioral changes.
• Since about 2013, there has been a sharp upswing in production that has continued to the
current period. The City is conducting a billing analysis to determine if billed water usage has
followed this same trend, to determine whether it is a bona fide increase in demand or if it
might be leaks in the distribution system. Installation of new metering infrastructure at the
WTP indicates that water production is being accurately measured there, so the source of the
increase is likely elsewhere.
• Although the 1994 Enartech study and the 2016 Wilson Reports indicate that flows in Castle and
Maroon Creeks are sufficient to meet current demands, even at this high level, the increased
production is using existing infrastructure at near its full capacity.
• If this increase in usage is demand-based, it calls into question the baseline demand estimates
contained in the Wilson Report and the WEP. However, at least for the WEP, current demands
were based on billed water usage rather than water production, so it is likely the baseline levels
of demand assumed in these two efforts were close to actual demand.
9 Element Water Consulting and Water DM. 2015. Aspen Municipal Water Efficiency Plan.
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Figure 8. Previous Water Demand Estimates and Historical Water Production
Role of Population Estimates
Estimated growth rates for Aspen’s future water demands have most recently been population-based.
That is, current demands, either in total or by sector, are extrapolated at an anticipated rate of
population growth. This is a relatively common method in the water industry because often there is a
strong link between resident population and water usage. Aspen differs from the norm because of
relatively strong controls on growth, in total and for certain types of land use, high real estate prices, a
wide range of lifestyles, and the seasonal and transient nature of a portion of the population. Different
types of land use will likely grow at different rates in Aspen and in other communities of similar
economic and demographic nature due to actions by local planning entities. As a result, future land
uses and land use changes may be a better predictor for future water usage than population estimates.
The 1994 Enartech effort recognized this and, with City
Planning staff assistance, focused upon development
patterns for specific types of land use. Although the
resulting total demand estimates weren’t accurate for 2010
(largely due to conservation efforts as previously discussed),
they do yield insight as to the magnitude of the possible increase in demand as the area builds out.
Development of a Land Use Demand Estimate
For purposes of providing an alternative approach to demand, this analysis is currently working towards
developing a land use-based estimate. City staff has provided insights, GIS coverage maps, and other
support in cooperation of this effort. Water usage categories considered in the 2015 WEP appear to
have a logical connection with the City’s land use categories. As a result, WEP usage information, along
-
1,000
2,000
3,000
4,000
5,000
6,000
7,000
199419961998200020022004200620082010201220142016201820202022202420262028203020322034203620382040204220442046204820502052205420562058206020622064Acre-feet/yearYear
1994 Estimates, Scenarios 1 and 6 Wilson Report, Baseline and Restricted Growth
Water Efficiency Plan, Baseline and Active Conservation
Water Production at WTP
For Aspen, land use type may be a
better indicator of demand than
population.
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with geographic area information about land use being obtained from the City’s GIS group, is being used
to characterize water usage for major land uses.
A challenge to using a land use basis for estimating water demand over a long period of time is that
water demand estimates require a long-term outlook, say 40 to 50 years, whereas land use plans tend to
have a shorter outlook, in the range of 5 to 20 years. A strategy for dealing with these differing time
frames is to incorporate long-term land use trends and possibly bracket impacts in the more distant
years with a range of plausible values.
Build-out of the Aspen Area and Associated Water Usage, 1994 View
Build-out implies that all developable land has been developed and future growth will depend on either
expanding the water service area and/or intensification of existing developed lands. With the City
staff’s assistance, the 1994 Enartech study examined both of these types of growth in detail, estimating
buildout in terms of Equivalent Capacity Units (ECU), a standardized measure of water consumption and
capacity requirements per unit of development.
• The 1994 study estimated there were about 12,400 ECU’s being served at that time.
• Buildout of the City and existing water service areas through 2010 was estimated in 1994 to be
about 17,300 ECU’s. It appears that this was considered full buildout of these areas.
• The Aspen Water Efficiency Plan estimates that there are currently 17,300 ECU’s in the service
area. It is a coincidence that this equals the build-out estimate for 2010, made in 1994.
• Full buildout of the system including the current service areas, service to adjacent fully
developed areas, and proposed extensions into new water service areas was estimated in 1994
to total 19,835 ECU’s. Appendix A contains a summary of the 1994 study’s assumptions about
the number of future ECU’s to be potentially served. This summary is for Scenario 6, which
documents the source of the 19,835 ECU estimate.
Applicability of these 1994 estimates to the current analysis is somewhat problematic given the actual
development patterns and significant reductions in indoor water usage, but the total estimated number
of ECU’s comprising build-out provides a data point for long-term demand. If 19,835 ESU’s represents
total buildout of the current and potential future water service area, and there are currently 17,300
ECU’s, a proportionate increase in water demand would be about 15%. Annual water demand at the
WTP would increase from its current estimated level of about 3,400 acre-feet to about 3,900 acre-feet
at full development. Based on population-based estimates of water demand, the Wilson Report
estimated demand to be slightly over 6,000 acre-feet per year in 2064; the Aspen WEP estimated
baseline demand to be in the range of 4,000 acre-feet in 2035.
A portion of current efforts focus upon determining whether Aspen’s water system is, in fact, this close
to actual build-out conditions. Verification involves ongoing discussions with Aspen’s Water and
Planning staff to assess the accuracy of the 1994 estimates. In addition, Pitkin County Planning staff has
been contacted. Further, verification of the water usage implied by an ECU would be useful to review
and determine whether this volume has changed over time.
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Trends Affecting Future Demands
A range of land use and demographic trends have been identified during discussions with City Planning
staff. Similar to the 1994 effort, emphasis should be given to examining geographic areas within the City
and the surrounding area. Geographic areas include:
• Infill areas roughly within the boundaries of the Roaring Fork River, Castle Creek, and Aspen
Mountain. This area has been described as 95% built-out.
• Areas within the City boundary
• Areas within the Urban Growth Boundary, UGB
• Areas of Pitkin County, west of Castle Creek, along the Highway 82 corridor
• The current water service area and possible future water service areas
Additional input is being sought on future usage trends. However, usage trends identified to date
include:
• The likelihood of seasonal residents extending their stays. This possible trend was
acknowledged but was partially countered by another, offsetting trend, discussed below.
• Occupancy rates for Free Market residential properties currently occupied year around will
decline over the next 10 to 20 years as these residents retire and/or choose to sell their
residences to those who would be only part-time residents. This latter trend effectively lowers
average household and indoor water usage. Outdoor water usage and trends in future outdoor
usage would likely remain unchanged under either of the above trends.
• Overall occupancy rates go down in nearly all housing categories with the possible exception of
higher density multi-family units.
• In general, areas with Free Market housing have lower occupancy and higher water usage than
their non-Free Market counterparts.
• Future levels and locations of Affordable Housing are uncertain.
• Areas with potential for future growth are along the Highway 82 corridor west of the
roundabout, described as a sort of wild card with respect to the type and pace of development
here.
• The area of Pitkin County west of Castle Creek is similarly uncertain. There is currently no
Affordable Housing in this area. The long-term plans for this area and the area west of Maroon
Creek are currently being developed.
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Table 3 summarizes two scenarios for land use-based demand estimates being developed and the
information currently being acquired to examine each.
Table 3. Information Needed to Develop a Land Use-Based Demand Estimate for 2
Scenarios
Estimates made in
1994 Enartech study
Updated information being developed to
revise the 1994 estimate
Scenario 1: Build-
out of City and
existing water
service areas
17,300 ECU’s Remaining buildout by land use category; water
usage by land use category or customer class;
incorporating usage trends and conservation
measures identified in the WEP, including the
Water Efficient Landscape Ordinance.
Scenario 2:
Buildout of City and
existing water
service areas, plus
adjacent developed
areas and proposed
new water service
areas
19,835 ECU’s Same as above, plus identification of potential
developed areas and newly developing areas.
City of Aspen Water and Planning, and Pitkin
County Planning are sources of information.
System Operations
Operational conditions within the Aspen water system also affect reliability of the water system.
Overall, the Aspen water system has been very reliable. Despite being nearly solely dependent upon the
seasonal flows of Castle and Maroon Creeks, supplemental groundwater, and having less than a day’s
worth of storage at the Thomas Reservoir, no major shortages or outages were identified by the staff.10
However, recent increases in water production, with associated peaks in demand, combined with
infrastructure limitations, are increasing the strains upon treatment infrastructure and staff.
With respect to treatment, the City’s two parallel treatment plants provide 11.2 million gallons per day
(mgd) and 8.2 mgd capacity, totaling about 19.5 mgd, with possibly slightly less actual capacity. Current
peak day demands are near 8 mgd, but instantaneous peaks
during peak days are in the range of 10 to 12 mgd. During
peak periods, both plants need to be available to maintain
reliable service. In addition, known risks in operations during
peak run-off periods, such as filters clogging due to periodic turbidity spikes, can rapidly reduce effective
capacity and increase risk. Beyond this example, WTP staff is concerned that hydraulic capacity may be
limited during peaks, leaving no room for error to ensure peak reliability.
Concerns about disruptions to the Castle Creek and Maroon Creek diversions that might occur due to
avalanches, forest fires, and flooding are realistic and appropriate concerns. Staff also mentioned
10 A possible exception is an anecdotal memory of 1994, when avalanches took both of the City’s diversion dams,
Castle Creek and Maroon Creek, off-line for approximately a day. The City issued an emergency request to the
public to eliminate as much water use as possible during this period. Between this request and storage in the
Thomas Reservoir and within the distribution system, the City apparently got through with minimal disruption.
Currently, there is very little ability
to absorb water system disruptions.
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concerns about contamination of the WTP, whether that be through natural or nefarious measures.
Disruptions that might occur within one basin would likely significantly reduce the ability to meet peak
demands and disruptions occurring in both basins simultaneously would result in potable water
shortages within about 12 hours.
There are concerns that flow can be limiting in the winter due to icing and other infrastructure
restrictions, including diversion intake capacity. Staff raised similar worries about peak demand
infrastructure limitations during dry summer months.
Benchmarking
A benchmarking analysis consisting of surveying industry leaders and regional water providers of
comparable size and location about their water sources, reliability, system storage, and possible sources
of emergency supplies has been conducted. The data was obtained from the providers’ websites, their
Source Water Protection Plans, and personal communication with the provider itself. Currently in draft
form, the results of this survey are being compiled.
Next Steps
Ongoing efforts will focus upon completing a land use-based estimate of long-term water demand,
refining assumptions about climate change, refining the assumptions about uncertainties for demand,
and completing sensitivity tests of critical variables.
Issues that would benefit from further discussion with the City staff and City Council are discussed below
and summarized in Table 4.
• Measure of satisfaction with the existing hydrology data. As shown, the data is limited and
depends on an adjustment factor that is highly uncertain. Although this issue is addressed in
the Monte Carlo analysis, a more accurate assessment of Aspen’s water resources requires
measuring the supply. At minimum, this would require installing gauges on the two creeks at
the City’s diversion points and at other strategic locations. Recommendations for more gauges
and better measurement were made in the 1994 Enartech Study and the Wilson Report. Data
from these gauges would not be available in the near term, but the act would demonstrate a
commitment to managing the water resource.
• Whether to be satisfied with the hydrologic period of record. It is relatively short, 25 years, and
probably does not contain the worst years on record. Alternatives to improve this data involve
extending the period through the 1950’s on the front end and through 1995-2016 on the back.
Statistical methods would be needed to develop correlations between the Castle and Maroon
Creeks with nearby basins having longer records. Alternatively, statistical hydrology can be used
to synthesize new data containing the same statistical characteristics as the period of analysis.
Tree ring analysis, consisting of correlating tree ring with stream flow, is another method to
identify extreme periods of short and long duration.
• With completion of a utility to model the possible impacts of climate change and test the
sensitivity of the number of water shortages to the severity of climate change, this effort has
now turned to developing a statistical distribution representing its most severe probable
impacts. This is a challenging effort because data is still lacking for the Roaring Fork Valley and
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Castle and Maroon Creeks. Is there a desire on the City’s part to actively work to help
downscale more regional data to the local basin level?
• Much of the future development in the area will be in Pitkin County, rather than Aspen. With
respect to future water demand, what is the City’s view with respect to expanding water service
to adjacent areas, beyond the build-out of existing and currently served areas? What is the
likelihood this may happen?
• What is the likelihood of increased residential and commercial density within the City limits, in
other words, growing-vertical rather than growing-out?
• Are there additional demand trends not identified above?
• Also demand related, what is the perception about possible water shortages in general:
o No shortages, ever?
o Periodic shortages of hopefully short duration?
o More frequent shortages as long as they don’t impact water for indoor use?
Table 4. Summary of Uncertainties
Item Summary of uncertainty Input desired
Flow measurements Gauge data is limited and the flow
adjustment factors vary widely
depending on the method used to
estimate them.
Discussion of the stream data set
and inherent uncertainty with the
adjustment factors; whether to
improve the data moving forward.
Hydrologic period of record 1970
through 1994
Possibly not the most severe
period, considering 1950’s and
years since 2000.
Potential use of statistical methods
to extend the record.
Climate Change More contemporary research
suggests peak run-offs may be
earlier and flow impacts may be
more severe than previously
thought.
Perspectives regarding the range of
impacts to consider; potential to
work with others to downscale
these more contemporary results
to Castle and Maroon Creeks
Future land use changes Most recent demand analyses have
implicitly assumed that land uses
grow at the same rate.
Thoughts and rationale regarding
build-out and future rates of
growth of different land use types,
including single family residential,
commercial, and affordable
housing.
Future expansion of the water
service area
The level of future growth
attributable to new extra-territorial
service.
Level of consideration and/or
policies to provide water to existing
and new development outside of
the current water service area
Definition of shortage Currently, a shortage occurs when
City demands cannot be met while
still meeting instream flow
commitments.
Input to the balance between
meeting diverse municipal
demands and instream flows in
times of shortage.
Critical Period Existing data indicates that the
critically dry period is less than 2
years in duration; existing data is
limited.
Thoughts about potentially
synthesizing a multi-year critical
period based on potential climate
change impacts.
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MEMORANDUM
TO: Mayor and City Council
FROM: Don Taylor, Director of Finance
THRU: Steve Barwick, City Manager
DATE OF MEMO: July 7, 2017
MEETING DATE: July 11, 2017
RE: Discussion of Financing Alternatives for Construction of City
Offices
REQUEST OF COUNCIL: Staff requests City Council provide direction as to the method of
financing to be used for the proposed City Offices.
PREVIOUS COUNCIL ACTION: City Council has taken numerous steps toward addressing
the office space issue facing the City of Aspen. After approving a Certificate of Participation
(lease purchase) lease arrangement for the Aspen Police Station, City Council requested a
comparison analysis for Certificate of participation (COP) financing vs. General Obligation (GO)
bonds for the proposed City Offices building.
BACKGROUND: The two methods under consideration for financing of the City Offices are
GO Bonds and COP’s. They each have unique attributes related to their structure and cost. The
City has used both methods in the past. General Obligation bonds have lower issuance costs and
COP’s can be issued without an election which means that it can be done on the project schedule
instead of the election schedule.
COP’s are often used when the project being financed is considered essential. In 2007, the City
Council approved a COP issuance to provide for a movie theater in the City. In 2016, Pitkin
County approved COP issuance for their new administrative building. The State of Colorado
recently approved a COP issue in excess of a billion dollars secured by State buildings in order to
fund highway improvements.
DISCUSSION: There are several considerations for the method of financing the new City
offices. As mentioned, COP’s carry a slightly higher cost since the security for repayment is not
as strong as the unlimited taxing authority of General Obligation Bonds. Attached as Exhibit I is
a comparison of the annual costs for each of the financing structures and then the net present
value of the difference between the two. The annual cost difference is $16,000 to $22,000 per
year and the present value of that increased cost over the life of the issue is $320,000 - $435,000
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based on a 15 million-dollar issuance. This information was provided by the investment banking
firm that sold the COP’s for the APD office building.
A matrix summarizing the attributes of each of the financing methods is provided in Exhibit II to
this memo. It explains the different aspects of each of the methods in an easy to read format.
Another consideration is the cost of alternatives if the city opts for a General Obligation vote and
the vote does not pass. The City will then have to continue to lease space and scatter its offices
around to other places that it owns. To try and measure the pros and cons of a rent vs. build
decision, a matrix is provided in Exhibit III. The model is an effort to show the costs of
providing the same amount of space between renting or building. It shows that the cost of
leasing 34,000 square feet of space for 30 years versus the cost of building the same amount of
space. The assumptions used were $55 per square foot lease costs and $18 per square foot CAM
(common area maintenance), $550 per square foot to build. The model also assumes that
$22,500,000 is borrowed in order to capture the interest costs of the full project costs and not just
the amount that the city is currently contemplating borrowing.
The model assumes that there is 4% real estate price appreciation and the discount factor used to
calculate present values is also 4%. At the end of the thirty years, in the lease case scenario, you
walk away from your lease and are faced with replacing the space. In the build scenario, at the
end of thirty years, you own the building and your annual cost of space goes down dramatically.
The model takes the present value of the costs incurred for both the lease scenario and the
building scenario, including a calculation for the value of the building at the end of the thirty-year
comparison period. It shows that, on a present value basis (today’s dollars) the lease option is
about $47,000,000 more expensive than the build option for 34,000 square feet of the space. The
relationship is linear so if you think the right comparison is for 14,000 square feet then the
additional cost of the lease option is $19,000,000.
Governments are known for getting many decades of use out its buildings, hundreds of years in
some cases. This means the value of the build option compounds even faster after the debt
service on the build option is paid off.
The basic value option for the city council is whether to spend an additional $320,000- $435,000
in costs for the issuance of COPs for the certainty of avoiding tens of millions of dollars in extra
costs to lease space versus building space.
FINANCIAL/BUDGET IMPACTS: As described above.
RECOMMENDED ACTION: The value proposition as the Council sees fit.
ALTERNATIVES: The City could choose to pay cash for the City Offices and finance the
renovation of the armory building. This would require the reworking of some of the capital plans
in the Asset Management plan. Other locations could be considered for the location of City
Offices but would be more expensive as there is no cost for land in the current proposal.
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PROPOSED MOTION: I move that staff prepare documents for the financing of construction
of City offices utilizing (Certificates of Participation or General Obligation Bonds).
CITY MANAGER COMMENTS:
______________________________________________________________________________
______________________________________________________________________________
______________________
ATTACHMENTS:
1) Comparison of Financing Structures for COP’s and General Obligation Bonds
2) Matrix of attributes of General Obligation Bonds vs. COP’s
3) Comparison of Lease costs vs. build option
4) City Administrative Hall Options
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