econimic feasibility assessment methodology
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Econimic Feasibility Assessment MethodologyTRANSCRIPT
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Toolbox 7: Economic Feasibility Assessment Methods
Dr. John C. Wright
MIT - PSFC
05 OCT 2010
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Introduction We have a working definition of sustainability We need a consistent way to calculate energy costs This helps to make fair comparisons Good news: most energy costs are quantifiable Bad news: lots of uncertainties in the input data
Interest rates over the next 40 years Cost of natural gas over the next 40 years Will there be a carbon tax?
Todays main focus is on economics Goal: Show how to calculate the cost of energy in
cents/kWhr for any given option Discuss briefly the importance of energy gain
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Basic Economic Concepts
Use a simplified analysis
Discuss return on investment and
inflation
Discuss net present value
Discuss levelized cost
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The Value of Money The value of money changes with time 40 years ago a car cost $2,500 Today a similar car may cost $25,000 A key question How much is a dollar n years
from now worth to you today? To answer this we need to take into account Potential from investment income while
waiting Inflation while waiting
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Present Value Should we invest in a power plant? What is total outflow of cash during the plant
lifetime? What is the total revenue income during the
plant lifetime Take into account inflation Take into account rate of return Convert these into todays dollars Calculate the present value of cash outflow Calculate the present value of revenue
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Net Present Value Present value of cash outflow: PVcost Present value of revenue: PVrev Net present value is the difference
NPV = PVrev PVcost
For an investment to make sense
NPV > 0
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Present Value of Cash Flow $100 today is worth $100 today obvious How much is $100 in 1 year worth to you today? Say you start off today with $Pi Invest it at a yearly rate of iR%=10% One year from now you have $(1+ iR)Pi=$1.1Pi Set this equal to $100 Then
This is the present value of $100 a year from now
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$100 $100Pi = = = $90.911 1+ iR .1
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Generalize to n years $P n years from now has a present value to
you today of
( )
This is true if you are spending $P n years fronow
This is true for revenue $P you receive n yearsfrom now
Caution: Take taxes into account iR=(1-iTax)iTot
PPV( )P =1+ i nR
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m
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The Effects of Inflation Assume you buy equipment n years from now that costs
$Pn Its present value is
( )
However, because of inflation the future cost of the equipment is higher than todays price
If iI is the inflation rate then
PPV( )P nn = 1+ i nR
P i(1 )nn I= + Pi
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The Bottom Line Include return on investment and inflation $Pi n years from now has a present value to
you today of
Clearly for an investment to make sense
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n1+ iPV I = P 1+ i iR
i iR I>
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Costing a New Nuclear Power Plant
Use NPV to cost a new nuclear power plant
Goal: Determine the price of electricity that
Sets the NPV = 0
Gives investors a good return
The answer will have the units cents/kWhr
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Cost Components
The cost is divided into 3 main parts
Total = Capital + O&M + Fuel
Capital: Calculated in terms of hypothetical overnight cost
O&M: Operation and maintenance Fuel: Uranium delivered to your door Busbar costs: Costs at the plant No transmission and distribution costs
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Key Input Parameters
Plant produces Pe = 1 GWe
Takes TC = 5 years to build
Operates for TP = 40 years
Inflation rate iI = 3%
Desired return on investment iR = 12%
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Capital Cost
Start of project: Now = 2000 year n = 0
Overnight cost: Pover = $2500M
No revenue during construction
Money invested at iR = 12%
Optimistic but simple
Cost inflates by iI = 3% per year
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Construction Cost TableYear Construction Present
Dollars Value
2000 500 M 500 M
2001 515 M 460 M
2002 530 M 423 M
2003 546 M 389 M
2004 563 M 358 M
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Mathematical Formula Table results can be written as
Sum the series
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T -c nP iover 1+PV I CAP = T i1
C Rn=0 1+
Pover 1BTCPV CAP = = $2129MTC 1B 1+ iB = =I 0.91961+ iR
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Operations and Maintenance
O&M covers many ongoing expenses
Salaries of workers
Insurance costs
Replacement of equipment
Repair of equipment
Does not include fuel costs
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Operating and Maintenance Costs
O&M costs are calculated similar to capital cost
One wrinkle: Costs do not occur until operation starts in 2005
Nuclear plant data shows that O&M costs in 2000 are about
P MOM = $95 /yr O&M work the same every year
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Formula for O&M Costs During any given year the PV of the O&M costs
are
The PV of the total O&M costs are
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n( )n 1+ iPV I OM = P OM 1+ iR
T +C P
T -1
PV ( )nOM = PVOMn=TC
C P+ 1 1+nT T i = P IOM
n T= C 1+ iR
1BT= =POMB C P
T $750 1B M
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Fuel Costs Cost of reactor ready fuel in 2000 KF = $2000/ g Plant capacity factor fc = 0.85 Thermal conversion efficiency I = 0.33 Thermal energy per year
Fuel burn rate B k= 1.08 106 Whr /kg Yearly mass consumption
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( )( )( )
f Pc eT (0.85) 106kWe 8760hr
W 2.26 1010th = = = WhrI 0.33
WM kth 2.09 104F = = gB
k
k
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Fuel Formula Yearly cost of fuel in 2000
P KF F= =MF $41.8M /yr
PV of total fuel costs
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BTC
1 PPV T F F= =P B $330M 1B
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Revenue
Revenue also starts when the plant begins operation
Assume a return of iR = 12%
Denote the cost of electricity in 2000 by COE measured in cents/kWhr
Each year a 1GWe plant produces
W W 74.6 108e t= =I h kWhr
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Formula for Revenue The equivalent sales revenue in 2000 is
The PV of the total revenue
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( )( )COE (We c) COE f PeTPR = = = ( )$74.6 COE100 100
( ) T
C 1 B 1B
P P
PV T
R R= =P $(74.6M ) COE C
1B
M
1
TT BB
B
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Balance the Costs Balance the costs by setting NPV = 0
PVR c= +PV ons PVOM +PVF
This gives an equation for the required COE
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100 P 1 1BTCOE = + C
over T T P +Pf Pc eT T C P
OM FC B B 1
= 3.61 + 1.27 + 0.56 = 5.4 cents /kWhr
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Potential Pitfalls and Errors
Preceding analysis shows method
Preceding analysis highly simplified
Some other effects not accounted for
Fuel escalation due to scarcity
A carbon tax
Subsidies (e.g. wind receives 1.5 cents/kWhr)
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More More effects not accounted for Tax implications income tax, depreciation Site issues transmission and distribution
costs Cost uncertainties interest, inflation rates O&M uncertainties mandated new
equipment Decommissioning costs By-product credits heat Different fc base load or peak load?
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Economy of Scale An important effect not included Can be quantified Basic idea bigger is better Experience has shown that
Typically
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C Ccap ref PB
ref = P P e ref Pe
B x 1/3
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Why?
Consider a spherical tank
Cost v Material v Surface area: C Rr 4Q 2
Power v Volume: P Rr (4 / 3)Q 3
COE scaling: C P/ 1r r/ 1R /P1/3 Conclusion:
This leads to plants with large output power
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1BCcap Pe = C Pref ref
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The Learning Curve
Another effect not included
The idea build a large number of identical units
Later units will be cheaper than initial units
Why? Experience + improved construction
Empirical evidence cost of nth unit
C Cn = 1nC
f = improvement factor / unit: o
ln fC xln 2
f 0.85 C = 0.23
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An example Size vs. Learning
Build a lot of small solar cells (learning curve)?
Or fewer larger solar cells (economy of scale)?
Produce a total power Pe with N units
Power per unit: pe = Pe/N
Cost of the first unit with respect to a known reference
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1Bp N1B
C C ref1 = =ref C p Nref ref
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Example cont. Cost of the nth unit
Total capital cost: sum over separate units
If we want a few large units Its a close call need a much more accurate calculation
C CN1 B
C C refn r= =1n C ef n N
BN N N N1 1 NC C= =C ref cap n ref nC xC refref n dn
1n n= =1 1 N N
C N 1C= ref ref N NB C r B C
1 C
B C>
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BC
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Dealing With Uncertainty
Accurate input data o accurate COE estimate Uncertain data o error bars on COE Risk v size of error bars Quantify risk o calculate COE standard deviation Several ways to calculate V, the standard deviatiation
Analytic method
Monte Carlo method
Fault tree method
We focus on analytic method
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The Basic Goal
Assume uncertainties in multiple pieces of data
Goal: Calculate V for the overall COE including all uncertainties
Plan:
Calculate V for a single uncertainty Calculate V for multiple uncertainties
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The Probability Distribution Function
Assume we estimate the most likely cost for a given COE contribution.
E.g. we expect the COE for fuel to cost C = 1 cent/kWhr Assume there is a bell shaped curve around this value The width of the curve measures the uncertainty This curve P(C) is the probability distribution function It is normalized so that its area is equal to unity
dP C( )dC = 1
0
The probability is 1 that the fuel will cost something
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The Average Value The average value of the cost is just
The normalized standard deviation is defined by
A Gaussian distribution is a good model for P(C)
d
C C= P ( )C dC0
1 d0( )
1/2
T = C C 2 P ( )C dCC
( )( )
( )( )
C C 2 1 P C = 1/2 exp 2Q TC 2 TC 2
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Multiple Uncertainties
Assume we know C and for each uncertain cost.
The values of C are what we used to determine COE.
Specically the total average cost is the sum of the separate costs:
C Tot =
Cj Pj (Cj )dCj = C j . j
The total standard deviation is the root of quadratic sum of the separate contributions (assuming independence of the Cj ) again normalized to the mean:
(C j j )2 jTot =
j C j
Uncertainties
37 SE T-6 Economic Assessment
Multiple Uncertainties
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An Example
We need weighting - why?
Low cost entities with a large standard deviation do not have much eect of the total deviation
Consider the following example Ccap = 3.61, c = 0.1 CO&M = 1.27, OM = 0.15 Cfuel = 0.56, f = 0.4
Uncertainties Nuclear Power
38 SE T-6 Economic Assessment
An Example
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Example Continued
The total standard deviation is then given by (c C cap)2 + ( OMC 2 2 O&M ) + (f C fuel )
= C cap + C O&M + C fuel
0.130 + 0.0363 + 0.0502 = = 0.086
5.4
Large f has a relatively small eect.
Why is the total uncertainty less than the individual ones? (Regression to the mean)
Uncertainties Nuclear Power
39 SE T-6 Economic Assessment
Example Continued
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Toolbox 1OutlineIntroductionBasic Economic ConceptsThe Value of MoneyPresent ValueNet Present ValuePresent Value of Cash FlowGeneralize to n yearsThe Effects of InflationThe Bottom LineCosting a New Nuclear Power PlantCost ComponentsKey Input ParametersCapital CostConstruction Cost TableMathematical FormulaOperations and MaintenanceOperating and Maintenance CostsFormula for O&M CostsFuel CostsFuel FormulaRevenueFormula for RevenueBalance the CostsPotential Pitfalls and ErrorsMoreEconomy of ScaleWhy?The Learning CurveAn example Size vs. LearningExample cont.Dealing With UncertaintyThe Basic GoalThe Probability Distribution FunctionThe Average Value