Richard ORourke Global Energy MBA 2014 Project & Dissertation - - PowerPoint PPT Presentation
Richard ORourke Global Energy MBA 2014 Project & Dissertation - - PowerPoint PPT Presentation
STRUCTURED FINANCE & INDUSTRIAL COGENERATION FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS with PROJECT FINANCE (PF) & ASSET-BACKED SECURITIES (ABS) Richard ORourke Global Energy MBA 2014 Project &
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Research Question:
- What are the equity returns for an investment in the
development of a portfolio (40) of cogeneration assets Project Financed by bank debt pre-construction and an Asset-Backed Security (ABS) post-construction? (cf Calpine strategy ~2000, SolarCity’s recent ABS issues)
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Motivation:
- International Energy Agency (IEA): to keep average global
temperatures below 2oC warming, the internationally agreed target, infrastructure investment needs to double from current levels to $500bn/yr by 2020 and double again to $1trn/yr after 2030.
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
source: CPI
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Rationale:
- To scale the level of
investment in EE and DG they require access to lower cost capital
- Aggregating EE/DG
investments into portfolios provides the level of scale to attract institutional investors
- The portfolio effect mitigates
counter-party credit risk
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
source: OECD
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Rationale:
- The UK remains behind its
European counterparts in the deployment of cogeneration
- DECC forecasts an additional
2.8GWe will be installed by 2030 at an estimated cost of
- ver £1.5bn
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Approach:
- Discounted Cash Flow (DCF) Model
- An arbitrarily set number
- f project finance (PF)
deals were modelled (40) using a standard PF approach
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
source: UNEP
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Approach:
- Discounted Cash Flow (DCF) Model
- The model assumes
the bank debt is refinanced by the issue
- f an Asset-Backed
Security (ABS) once construction is complete for the entire portfolio
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
source: Climate Bonds Initiative
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Approach:
- Discounted Cash Flow (DCF) Model
- The core modules of the model are
- ‘Off-Take Portfolio’ – defines the client
and engine parameters of the portfolio and associated cash flows
- ‘Project Finance Portfolio’ – defines the
parameters of the bank debt and associated cash flows
- ‘Asset-Backed Security’ – defines the
parameters of the ABS and associated cash flows
- Stakeholders includes the ESCo, its clients,
the equity investors, the banks, and the ABS investors
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
← ← → ↓ ↑ ← ← ← ↓ ↑ → → → → ↓ ↑ ↓ ↑ ↓ ↑ ↓ ↑ ← ← Bank(s) ↓ ↑ → → ↓ ↑ ← ← ← → → → Off-Take Clients Off-Take Portfolio Project Finance Portfolio Asset- Backed Security Equity Investors ESCo Security Investors
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Approach:
- Discounted Cash Flow (DCF) Model
- A temporal view of the
programme phases and stakeholders shows how they overlap and/or change over time
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
Securities investors Construct Securitise Equity Investors Debt Providers Off-take Clients
Senior A Subordinate
Programme Phases Portfolio Projects Stakeholders Develop Operate
Senior B
ESCo
Direction of time
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Approach:
- Cogeneration Portfolio
- Many parameters of
the portfolio were selected randomly to reflect ‘real’ business development activity
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
0.0 20.0 40.0 60.0 80.0 100.0 120.0 140.0 160.0 180.0 200.0 Jan 2013 Jan 2017 Jan 2021 Jan 2025 Jan 2029 Jan 2033 Jan 2037 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 GWh Client # Lifetime Output (elec) HoT ESA Construction Complete Operation Start 1st Billing Date 1st Payment Date ESA Expires Last Payment Date
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Approach:
- Asset-Backed Security (ABS) Model
- A sophisticated ABS model was constructed to accurately reflect its typical operation
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
Notional Amortisation Schedule Actual Amortisation Total Cashflow Available for Liabilities Triggers Swaps Fees Senior Loan - Interest Senior Loan - Principal Reserve Account Subordinate Loan - Interest Subordinate Loan - Principal Excess Released Integrity Checks Period x (includes Period x+1 Prepay, Default, Recovery) Period x+y
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Assumptions:
- A set of assumptions were selected to compare equity returns
- Cost of Capital
(Low / High Scenarios)
- Pre-construction
Bank Debt (70%) : 7% / 9% + LIBOR (1%) [DSCR: 1.2/1.4]
- Post-construction
Bank Debt : 5% / 7% + LIBOR (1%) ABS (Senior: 80%): 2% / 4% + IL GILTS (0%) ABS (Sub: 20%) : 4% / 6% + IL GILTS (0%)
- Business Development
(Low / High Scenarios)
- ‘Less’ aggressive
40 engines/40 months
- ‘More’ aggressive
40 engines/24 months FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
engine size ranged from 1.5 to 2.4 MWe
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Results:
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
IRR (pre-tax) Business Development Less Aggressive 40 projects, 40 months More Aggressive 40 projects < 24 months Cost of Capital Lower Cost Capital PF: Pre-C 8% Post 6% DSCR 1.2 ABS: Snr 2% Sub 4% Scenario 1
IRR: 26.3%
(Equity: £19.1m) Scenario 2
IRR: 29.7%
(Equity: £20.1m) Higher Cost Capital PF: Pre-C 10% Post 8% DSCR 1.4 ABS: Snr 4% Sub 6% Scenario 3
IRR: 23.7%
(Equity: £17.3) Scenario 4
IRR: 25.1%
(Equity: £19.2m)
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Results:
- Present Value (PV) of ABS Notes
based on different levels of quarterly contribution (excluding inflation adjustment)
- Effectively it’s the value of the
mortgage that can be borrowed for the interest rate on the note based on different levels of fixed quarterly payments
- The model uses £2.0m for the
scenarios explored
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
£1.80m £1.90m £2.00m £2.10m £2.20m £0.0 £10.0 £20.0 £30.0 £40.0 £50.0 £60.0 £70.0 £80.0 £90.0 (£ millions) Quarterly Payment 2.0% Senior 4.0% Sub 4.0% Senior 6.0% Sub
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Results:
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
£0.0 £1.0 £2.0 £3.0 £4.0 £5.0 £6.0 £7.0 £8.0 £9.0 £10.0 £ millions
Scenario 1
Construction Cost Debt Drawdown CFADS Repayments ABS
~£65m raised
- n sale of ABS
depending on market conditions
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Results:
- Business Development Risk
- ‘Less’ Aggressive Scenario
‘More’ Aggressive Scenario
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
£0.0 £10.0 £20.0 £30.0 £40.0 £50.0 £60.0 £70.0 £80.0 £90.0 £100.0 £0.0 £1.0 £2.0 £3.0 £4.0 £5.0 £6.0 £7.0 £8.0 £9.0 £10.0
cumulative £ millions £ millions
Construction Cost Cum Debt Drawdown Cum Construction Cost £0.0 £10.0 £20.0 £30.0 £40.0 £50.0 £60.0 £70.0 £80.0 £90.0 £100.0 £0.0 £1.0 £2.0 £3.0 £4.0 £5.0 £6.0 £7.0 £8.0 £9.0 £10.0
cumulative £ millions £ millions
Construction Cost Cum Debt Drawdown Cum Construction Cost
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Results:
- Business Development Risk
- Both scenarios very aggressive in light of market data
- Although, projects below funded at much higher cost of capital
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
4 19
- 2
13
- 7 -7
6 3 2
- 1
14
- 3
9 23 27 9
- 50
50 100 150 200 250 300 350 400
- 100
200 300 400 500 600 700 800 900 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 # sites (lines) MWe installed (area) MWe installed New units # sites UK CHP installations in the 1 to 9.9 MWe range, source: DUKES 7.1
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Results:
- Default Risk
- Returns above assume perfect portfolio performance
- How badly are equity returns affected by client defaults?
- Further work required to develop appropriate default models
- Simple model defaults 15% of clients randomly mid-way through contract
- Equity returns reduce by <10% (IRR remains >15%)
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Results:
- Default Risk
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
£0.0 £0.5 £1.0 £1.5 £2.0 £2.5 £3.0 £3.5
£ millions
CFADS under a 15% default scenario
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Results:
- Refinancing Risk
- In order to manage construction risk, the ABS is not issued until all the
assets in the portfolio are operational
- However, this creates a refinancing risk for the pre-construction funders
- This risk will be born primarily by the equity investors
- How sensitive are equity returns to the ABS issue price?
- UK Govt Index-Linked Gilts currently trade at negative yields
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Results:
- Refinancing Risk
- The greater the yield demanded by
the ABS investors, the lower the equity returns
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
27.5% 26.3% 26.1% 24.8% 23.5% (1.0%) 0.0% 1.0% 2.0% 3.0% 4.0% (2.0%) (1.0%) 0.0% 1.0% 2.0% 3.0% Sub Note Yields Snr Note Yields
STRUCTURED FINANCE & INDUSTRIAL COGENERATION
Conclusion:
- Equity Returns are attractive for scenarios modelled
- >15% IRR
- The scale of investment is likely attractive to institutional investors
- >£30m ($50m)
- However:
- Business Development risk is very high in current market
- Appropriate Default Model needs to be developed
- a simple default model of 15% of clients reduces equity returns by <10%
- Refinancing Risk appears modest
- given favourable current market pricing for Index-Linked Bonds
- however, the default model will have a large bearing on pricing
FINANCING ENERGY EFFICIENCY (EE) & DISTRIBUTED GENERATION (DG) PORTFOLIOS
Richard O’Rourke
Technology & Start-ups
(Energy / IT)
- BSc Industrial Chemistry (1996)
- General Semiconductor R&D
- Taipei: Power electronics
- EPFL: Swiss Polytechnic University
- Lausanne: Fuel cells (batteries)
- KineMatik
- Ireland/US: R&D management software
- ExerGen Biosciences
- New York: Next-gen search software
- REDT
- Dublin/London: Battery technology
Energy & Green Infrastructure Finance
- UCC: MEngSc Sustainable Energy (2007)
- LSE: MSc Environmental Policy (2008)
- EnerNOC
- London: Smart Grid
- MITIE Asset Management
- London: Energy Project Development (ESCo)
- Warwick Global Energy MBA (2014)
- Kinetik NRG
- Dublin/London/NY: Strategy & Fundraising,
Product Management & Business Development
Richard O’Rourke
- richard@kinetik-nrg.com
- +353 (85) 211 8174
- +44 (75) 7769 8755
- Skype: richardsorourke
- www.linkedin.com/in/rsorourke
- @rsorourke