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Energy Finance Christmas Workshop, EFC 19, ESRI, Dublin 12 th – 13 th December 2019 Peter Deeney 1 , Mark Cummins 1 , Katharina Keintz 2 and Mary Pryce 2 1 DCU Business School 2 DCU School of Chemical Sciences A real options based decision support tool for R&D investment: Application to CO 2 recycling technology

A real options based decision support tool for R&D

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Page 1: A real options based decision support tool for R&D

Energy Finance Christmas Workshop,

EFC 19, ESRI, Dublin12th – 13th December 2019

Peter Deeney1, Mark Cummins1 ,

Katharina Keintz2 and Mary Pryce2

1 DCU Business School 2 DCU School of Chemical Sciences

A real options based decision support tool for R&D investment: Application to CO2 recycling technology

Page 2: A real options based decision support tool for R&D

Summary of Presentation

1. Scenario: R&D to produce an existing commodity

2. Discrete model for research progress

3. Variable rate of progress: early, late and operational

4. European and American Options

5. Application to CO2 Recycling

6. Results

Page 3: A real options based decision support tool for R&D

Real Options and R&DUnderlying asset is difficult to value, as it is not usually

traded.

The strike price characterises a decision.

Better than NPV – future flexibility is included.

Ideal for R&D - future flexibililty

We use mean reversion for the commodity model and GBM for the emissions allowances.

Page 4: A real options based decision support tool for R&D

R&D Progress

Chemistry

Discrete steps, discoveries, Poisson distribution, λ

Business

Measure progress as units produced per €,

UPC units per cost

Page 5: A real options based decision support tool for R&D

Logistic Curve, an S-Bend

Consider R&D progress as the same shape as the logistic function, L(x).

Page 6: A real options based decision support tool for R&D

Adapting the Curve

Basic Logistic Function adapted for a limit m with an affine transformation for the x variable.

Units per Cost = UPC(x), x = the number of discoveries

Page 7: A real options based decision support tool for R&D

UPC function in new Variables

UPCMin = UPC at the start of the R&D Project;

x = number of discoveries

xR = discovery with rate of greatest improvement

m = maximum UPC possible

Page 8: A real options based decision support tool for R&D

How close is a breakthrough?

For different types of projects

Maximum rate of progress at xR .

Page 9: A real options based decision support tool for R&D

Summary of Presentation

1. Scenario: R&D to produce an existing commodity

2. Discrete model for research progress

3. Variable rate of progress: early, late and operational

4. European and American Options

5. Application to CO2 Recycling

6. Results

Page 10: A real options based decision support tool for R&D

Three R&D Phases

Page 11: A real options based decision support tool for R&D

Summary of Presentation

1. Scenario: R&D to produce an existing commodity

2. Discrete model for research progress

3. Variable rate of progress: early, late and operational

4. European and American Options

5. Application to CO2 Recycling

6. Results

Page 12: A real options based decision support tool for R&D

Option Type

Early Phase

Fixed length of time, Proceed if costs are halved

Late Phase

Exercise when the market is ready

European

Compound Call

(on the late R&D)

American Call on Investment

Page 13: A real options based decision support tool for R&D

Calculation List

What is the value of the late phase R&D?

We can estimate this at the start of the early phase or at the end when we

know how much progress has been made.

What is the value of the early phase R&D?

Page 14: A real options based decision support tool for R&D

Late Phase R&D

Decision to go ahead to operational phase made whenever it is advantageous, therefore American

The underlying asset is the sum of the cash flows from the plant during operations.

The cost is the construction cost of the plant.

E[max{Operation Cash flow – Plant Cost, 0}]American

Page 15: A real options based decision support tool for R&D

Early Phase R&D

Decision to go ahead to late phase at the end of the early phase R&D

Typically publically funded, fixed schedule and some target to satisfy a privately funded late R&D

European Compound option on the American option of the late phase

E[max{American Option from Late Phase –

American Option value if target reached, 0}]European

Page 16: A real options based decision support tool for R&D

Summary of Presentation

1. Scenario: R&D to produce an existing commodity

2. Discrete model for research progress

3. Variable rate of progress: early, late and operational

4. European and American Options

5. Application to CO2 Recycling

6. Results

Page 17: A real options based decision support tool for R&D

American Option Pricing

−Glasserman, 8.4

−Random Tree

−Upper and Lower Estimators

Page 18: A real options based decision support tool for R&D

Recycling Carbon Dioxide into Methane using Sabatier Process

Income

Methane

Emission Allowances

Expenditure

Processing

Hydrogen / Electricity

Carbon Capture and Transport

Page 19: A real options based decision support tool for R&D

Methane Production Costs

Page 20: A real options based decision support tool for R&D

Hydrogen Production Costs

Page 21: A real options based decision support tool for R&D

Learning by Doing

−CPU is cost per unit, the reciprocal of UPC

A is a constant

CP is the Cumulative Production

Page 22: A real options based decision support tool for R&D

Parameters and Prices

Poisson per month : Early 1; Late 0.5;

LBD 1% per doubling

€40,000 to €1,636, xR =50, one year build, ten year plant life,

1. Production cost of product reduce R&D and LBD

2. Income from EUA , GBM with drift to €80 in 2028

3. Income from natural gas, mean reverting

4. Expense from carbon capture, reduce LBD

5. Construction costs €100m

6. Fixed costs €1m per month rising at 1% per month

7. Discount rate 3%

Page 23: A real options based decision support tool for R&D

Gas Prices Mean Reverting Model

Page 24: A real options based decision support tool for R&D

Carbon Prices GBM with Drift

Page 25: A real options based decision support tool for R&D

Discounted Cash Flows

-3 000 000 000

-2 500 000 000

-2 000 000 000

-1 500 000 000

-1 000 000 000

-500 000 000

-

500 000 000

1 4 7

10

13

16

19

22

25

28

31

34

37

40

43

46

49

52

55

58

61

64

67

70

73

76

79

82

85

88

91

94

97

100

DCF for Various dTE

dTE DCF

Page 26: A real options based decision support tool for R&D

Summary of Presentation

1. Scenario: R&D to produce an existing commodity

2. Discrete model for research progress

3. Variable rate of progress: early, late and operational

4. European and American Options

5. Application to CO2 Recycling

6. Results

Page 27: A real options based decision support tool for R&D

Calculation List

What is the value of the late phase R&D?

What is the value of the early phase R&D?

Page 28: A real options based decision support tool for R&D

Number of Discoveries at the Late of the Late Phase, Start = 30

Page 29: A real options based decision support tool for R&D

Late Phase UPC Values

Page 30: A real options based decision support tool for R&D

Monte Carlo Simulation

There are three stochastic sources

−Discovery (Poisson)

−Natural Gas Price (Mean Reversion)

−EUA Price (GBM with drift)

−This requires a large number of simulations

−Start with branching of 4 six times (4,096), to 16 branches six times (16,777,216)

Page 31: A real options based decision support tool for R&D

Sensitivity

−If we have a 5% probability of complete loss during the R&D in addition to a 5% probability of loosing half of the income at some stage during operations, then the value of the early R&D drops by 17 % and the late by 13%

−If we do not have an S-Bend and use a straight line, then there is no upper limit to the improvement and the late phase R&D value jumps by 14%

−If the R&D proceeds in a deterministic fashion then the early R&D drops by 51% and the late by 54%, due to the lack of unusually high outcomes.

Page 32: A real options based decision support tool for R&D

Early Phase Values

Value of Early Phase European Compound Option

€45.5m

Value of Late Phase American Option at the start of the process, before any research, t=0:

€87.4m

NPV was - €73.8m

Page 33: A real options based decision support tool for R&D

Conclusions

Values for R&D are calculable

More needs to be done for parameters

Real Options produces a fairly high value for the R&D at the late stage and lower for the early stage

The method can be applied to any production process

Page 34: A real options based decision support tool for R&D

Thank you for your attention,Merry Christmas

Peter Deeney

Mark Cummins

Katharina Heintz

Mary Pryce