Complete List of Deterministic (fixed inputs) and Stochastic (random inputs) Project Finance Models

Complete List of Deterministic (fixed inputs) and Stochastic (random inputs) Project Finance Models

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NEWS FLASH JUST NOW.

YOU CAN NOW ORDER AND PURCHASE DETERMINISTIC AND STOCHASTIC (MCS) PROJECT FINANCE MODELS IN UNITED STATES DOLLAR (USD).

HERE ARE SOME EXAMPLE DEMO (LOCKED) MODELS:

ADV Biomass Cogeneration Model3 (demo) – in PHP

ADV Biomass Cogeneration Model3 (demo) (USD)

ADV Biomass Cogeneration Model3_MCS (demo) – in PHP

ADV Biomass Cogeneration Model3_MCS (demo) (USD)

ADV Biomass Direct Combustion Model3 (demo) – in PHP

ADV Biomass Direct Combustion Model3 (demo) (USD)

ADV Biomass Direct Combustion Model3_MCS (demo) – in PHP

ADV Biomass Direct Combustion Model3_MCS (demo) (USD)

 

FOR OTHER POWER GENERATION TECHNOLOGIES, YOU MAY ORDER AND PURCHASE BY EMAIL AT:

energydataexpert@gmail.com

AND SPECIFY YOUR TYPE OF MODEL. YOU MAY ALSO INCLUDE IN YOUR EMAIL YOUR SAMPLE INPUTS SO I CAN IMMEDIATELY CUSTOMIZE YOUR MODEL FOR FREE.

Installed capacity:

Unit capacity, MW/unit = 50.00

No. of units = 1

Net capacity factor (NCF):

Availability, % of time or days down = 97.08% or 11 days off-line

Load Factor, % of gross capacity = 95.00%

Own Use, % of gross capacity = 10.00%

Net capacity factor target, % = 83.00%

All-in Capital and Operating & Maintenance (O&M) costs:

All-in capital cost target, ‘000 USD or USD/kW = 4,114

Fixed O&M cost target, USD/kW/year = 105.63

Variable O&M cost target, USD/MWh = 5.26

G&A cost target, ‘000 USD/year = 10.00

Balance Sheet accounts:

Salvage value = 5% of original value

Days receivable, days = 30

Days payable, days = 30

Days inventory (fuel, lubes, supplies) = 60

Depreciation period (straight line), years = 20

Refurbishment cost (% of EPC as overhaul cost) = 10%

Timing of Refurbishment (year from COD) = 10

Local Component (LC) and Foreign Components (FC):

Target local cost (LC), % of all-in capital cost = 59.2%

Target foreign cost (FC), % of all-in capital cost = 100.0 – 59.2 = 40.8

Note: local CAPEX to be funded by local debt

foreign CAPEX to be funded by foreign debt

Local and Foreign Debt:

Local and foreign debt upfront legal & financing fees = 2.00%

Local and foreign commitment fees = 0.50 p.a.

Local and Foreign Grace Period from COD, months = 6

Local and Foreign debt Service Reserve (DSR), months = 6

Local Debt All-in Interest Rate excluding tax =10.00% p.a.

Local Debt Payment Period (from end of GP), years = 10

Foreign Debt All-in Interest Rate excluding tax =10.00% p.a.

Foreign Debt Payment Period (from end of GP), years = 10

Capital structure and target IRR:

Debt ratio target, % of total capital = 70%

Equity ratio target, % of total capital = 100% – 70% = 30%

Target IRR = 16.44% p.a.

Tax Regime:

Income tax holiday (ITH) = 7 years (pay income tax on 8th year)

Income tax rate (after ITM) = 10% of taxable income

Property tax rate (from COD) = 1.5%

Property tax valuation rate (% of NBV) = 80%

Local business tax (% of revenue) = 1.0%

Government share for RE (from COD) = 1.0% of revenues – cost of goods sold

ER 1-94 contribution, PHP/kWh sold = 0.01 (to DOE)

Withholding Tax on Interest (Foreign Currency) – WHT = 10%

Gross Receipts Tax on Interest (Local Currency) – GRT = 5%

Documentary Stamps Tax (DST) = 0.5% (not used)

PEZA incentives (income tax rate from COD) = 5% (if used)

Royalty = 1.5% (if used in mini-hydro)

VAT on importation = 12%

VAT recovery rate = 70%

Timing of VAT recovery (years after COD) = 5

Customs duty = 0%

Flags (Switches):

Biomass Fuel switch (1 = yes, 0 = no) = 1

Type of incentives (1 = NO, 2 = BOI, 3 = PEZA) = 2

Value added tax (0 = NO, 1 VAT) = 0 for renewable energy (RE)

Timing:

Construction period (from FC), months = 24

Operating period (from COD) = 20 years (maximum 30)

Years from base year CPI for CAPEX estimates = 1 (usually zero)

Years from base year CPI for OPEX estimates = 1 (usually zero)

Exchange Rate and Inflation:

Base foreign exchange rate, PHP/USD = 50.00

Forward foreign exchange rate, PHP/USD = 50.00

OPEX inflation (CPI): to model real vs. nominal analysis

Local inflation (CPI) = 0.0% p.a. (real analysis)

Foreign inflation (CPI) = 0.0% p.a. (real analysis)

CAPEX inflation (CPI): to model construction delay

Local inflation (CPI) = 4.0% p.a. (escalation of local CAPEX)

Foreign inflation (CPI) = 2.0% p.a. (escalation of foreign CAPEX)

Power plant footprint:

Plant footprint, hectares = 50.00

Price of land (purchase), PHP/m2 = 28.65 (land is purchase)

Land area (lease), m2 = 500,000

Land lease rate , PHP/m2/year = 0.00 (no land lease)

Fuel properties and cost:

Density of solid fuel, kg/MT = 1,000 (for solid biomass)

Density of liquid fuel, kg/L = 0.966 (for liquid fuel oil or bunker)

Cost of bagasse = 1,988 PHP/MT (at 2,275 kcal/kg) at 30% blend

Cost of rice hull = 1,000 PHP/MT (at 3,150 kcal/kg) at 70% blend

Average cost of solid fuel = 1,299 PHP/MT (biomass)

Average cost of liquid fuel = 34.84 PHP/L (fuel oil)

Average heating value of solid fuel, Btu/lb = 5,198 (biomass)

Average heating value of liquid fuel, Btu/lb = 19,500 (fuel oil)

Power plant thermal efficiency or plant heat rate:

Plant heat rate (at 100% efficiency) = 3,600/1.05506 = 3,412 Btu/kWh

Plant heat rate (Btu of GHV per kWh gross) = 12,186

Target Thermal efficiency = 3,412/12,186 = 28.00%

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Your energy technology selection expert is pleased to announce that deterministic (fixed inputs) and stochastic (random inputs from Monte Carlo Simulation) are now available for all power generation technologies (renewable energy such as biomass, solar PV and CSP, wind, mini-hydro, ocean thermal and ocean tidal/current, and conventional energy such as large hydro, geothermal, and fossil energy such as oil diesel and oil thermal, natural gas simple cycle and combined cycle, coal thermal and clean coal technologies, nuclear energy, and energy storage and waste heat recovery and combined heat and power technologies).

You may download the following samples to try the advanced features of using fixed inputs and random inputs in order to manage your project risks:

Deterministic (fixed inputs) model: (USD 700):

Stochastic (random inputs from Monte Carlo Simulation) model (USD 1400):

Before you can run the MCS model, you need to download first the Monte Carlo Simulation add-in and run it before running the MCS model:

MonteCarlito_v1_10

Here is the complete list of deterministic and stochastic project finance models.

RENEWABLE ENERGY

1) process heat (steam) and power (cogeneration)

ADV Biomass Cogeneration Model3 (demo)

ADV Biomass Cogeneration Model3_MCS (demo)

2) bagasse, rice husk or wood waste fired boiler steam turbine generator

ADV Biomass Direct Combustion Model3 (demo)

ADV Biomass Direct Combustion Model3_MCS (demo)

3) gasification (thermal conversion in high temperature without oxygen or air

ADV Biomass Gasification Model3 (demo)

ADV Biomass Gasification Model3_MCS (demo)

4) integrated gasification combined cycle (IGCC) technology

ADV Biomass IGCC Model3 (demo)

ADV Biomass IGCC Model3_MCS (demo)

5) waste-to-energy (WTE) technology for municipal solid waste (MSW) disposal and treatment

ADV Biomass WTE Model3 (demo)

ADV Biomass WTE Model3_MCS (demo)

6) waste-to-energy (WTE) pyrolysis technology

ADV Biomass WTE Model3 – pyrolysis (demo)

ADV Biomass WTE Model3 – pyrolysis_MCS (demo)

7) run-of-river (mini-hydro) power plant

ADV Mini-Hydro Model3_NIA (demo)

ADV Mini-Hydro Model3_NIA_MCS (demo)

8) concentrating solar power (CSP) 400 MW

ADV Concentrating Solar Power (CSP) Model3 (demo)

ADV Concentrating Solar Power (CSP) Model3_MCS (demo)

9) solar PV technology 1 MW Chinese

ADV Solar PV 1 mw Model3 (demo)

ADV Solar PV 1 mw Model3_MCS (demo)

10) solar PV technology 25 MW European and Non-Chinese (Korean, Japanese, US)

ADV Solar PV 25 mw Model3 (demo)

ADV Solar PV 25 mw Model3_MCS (demo)

11) includes 81 wind turbine power curves from onshore WTG manufacturers

ADV Wind Onshore Model3 (demo)

ADV Wind Onshore Model3_MCS (demo)

12) includes 81 wind turbine power curves from offshore WTG manufacturers

ADV Wind Offshore Model3 (demo)

ADV Wind Offshore Model3_MCS (demo)

13) ocean thermal energy conversion (OTEC) technology 10 MW

ADV Ocean Thermal Model3_10 MW (demo)

ADV Ocean Thermal Model3_10 MW_MCS (demo)

14) ocean thermal energy conversion (OTEC) technology 50 MW

ADV Ocean Thermal Model3_50 MW (demo)

ADV Ocean Thermal Model3_50 MW_MCS (demo)

14) ocean current and tidal technology (30 MW) – this is a similar to an air wind turbine but under water with a turbine propeller (Taiwan has an operating prototype in Kuroshio and PNOC-EC is venturing into ocean current at the Tablas Strait).

ADV Tidal Current Model3_30 MW (demo)

ADV Tidal Current Model3_30 MW_MCS (demo)

 

CONVENTIONAL, FOSSIL AND NUCLEAR ENERGY

1) geothermal power plant 100 MW

ADV Geo Thermal Model3 (demo)

ADV Geo Thermal Model3_MCS (demo)

2) large hydro power plant 500 MW

ADV Large Hydro Model3 (demo)

ADV Large Hydro Model3_MCS (demo)

3) subcritical circulating fluidized bed (CFB) technology 50 MW

ADV Coal-Fired CFB Thermal Model3_50 MW (demo)

ADV Coal-Fired CFB Thermal Model3_50 MW_MCS (demo)

4) subcritical circulating fluidized bed (CFB) technology 135 MW

ADV Coal-Fired CFB Thermal Model3_135 MW (demo)

ADV Coal-Fired CFB Thermal Model3_135 MW_MCS (demo)

5) subcritical pulverized coal (PC) technology 400 MW

ADV Coal-Fired PC Subcritical Thermal Model3 (demo)

ADV Coal-Fired PC Subcritical Thermal Model3_MCS (demo)

6) supercritical pulverized coal (PC) technology 500 MW

ADV Coal-Fired PC Supercritical Thermal Model3 (demo)

ADV Coal-Fired PC Supercritical Thermal Model3_MCS (demo)

7) ultra-supercritical pulverized coal (PC) technology 650 MW

ADV Coal-Fired PC Ultrasupercritical Thermal Model3 (demo)

ADV Coal-Fired PC Ultrasupercritical Thermal Model3_MCS (demo)

8) diesel-fueled genset (compression ignition engine) technology 50 MW

ADV Diesel Genset Model3 (demo)

ADV Diesel Genset Model3_MCS (demo)

9) fuel oil (bunker oil) fired genset (compression ignition engine) technology 100 MW

ADV Fuel Oil Genset Model3 (demo)

ADV Fuel Oil Genset Model3_MCS (demo)

10) fuel oil (bunker oil) fired oil thermal technology 600 MW

ADV Fuel Oil Thermal Model3 (demo)

ADV Fuel Oil Thermal Model3_MCS (demo)

11) natural gas combined cycle gas turbine (CCGT) 500 MW

ADV Natgas Combined Cycle Model3 (demo)

ADV Natgas Combined Cycle Model3_MCS (demo)

12) natural gas simple cycle (open cycle) gas turbine (OCGT) 70 MW

ADV Natgas Simple Cycle Model3 (demo)

ADV Natgas Simple Cycle Model3_MCS (demo)

13) natural gas thermal 200 MW

ADV Natgas Thermal Model3 (demo)

ADV Natgas Thermal Model3_MCS (demo)

14) petroleum coke (petcoke) fired subcritical thermal 220 MW

ADV Petcoke-Fired PC Subcritical Thermal Model3 (demo)

ADV Petcoke-Fired PC Subcritical Thermal Model3_MCS (demo)

15) nuclear (uranium) pressurized heavy water reactor (PHWR) technology 1330 MW

ADV Nuclear PHWR Model3 (demo)

ADV Nuclear PHWR Model3_MCS (demo)

 

WASTE HEAT RECOVERY BOILER (DIESEL genset; GASOLINE genset; PROPANE, LPG or NATURAL GAS simple cycle)

1) combined heat and power (CHP) circulating fluidized bed (CFB) technology 50 MW

ADV Coal-Fired CFB Thermal Model3_50 MW CHP (demo)

2) diesel genset (diesel, gas oil) and waste heat recovery boiler 3 MW

ADV Diesel Genset and Waste Heat Boiler Model3 (demo)

3) fuel oil (bunker) genset and waste heat recovery boiler 3 MW

ADV Fuel Oil Genset and Waste Heat Boiler Model3 (demo)

4) gasoline genset (gasoline, land fill gas) and waste heat recovery boiler 3 MW

ADV Gasoline Genset and Waste Heat Boiler Model3 (demo)

5) simple cycle GT (propane, LPG) and waste heat recovery boiler 3 MW (e.g. Capstone)

ADV Propane Simple Cycle and Waste Heat Boiler Model3 (demo)

6) simple cycle GT (natural gas, land fill gas) and waste heat recovery boiler 3 MW (e.g. Capstone)

ADV Simple Cycle and Waste Heat Boiler Model3 (demo)

 

A simple user manual on how to use the deterministic and stochastic project finance models and user license information are found in the files below:

_How to run the Advanced Project Finance Models of OMT (ver 2)

_DISCLAIMER, CONTACT INFORMATION, PAYMENT DETAILS and NON-DISCLOSURE

Our company (OMT Energy Enterprises) can also provide customization services to provide you with power plant project finance models with fixed inputs (deterministic models) as well as random inputs (stochastic models).

If you have an existing model which you want to be audited or upgraded to have stochastic modeling capability, you may also avail of our services at an hourly rate of USD200 per hour for a maximum of 5 hours of charge for customization services.

Use the deterministic model to determine project feasibility, e.g. given first year tariff, determine the equity and project returns (NPV, IRR, PAYBACK), or given the equity or project target returns, determine the first year tariff.

Use the stochastic model to determine project risks during the project development stage. By varying the estimation error on the independent variable (+10% and -10%) and conducting 1,000 random trials, this model will show the upper limit of the estimation error so that the dependent variables will converge to a real value (no error).

A pre-feasibility study has a +/- 15-20% estimation error on the independent variables using rule-of-thumb values.

A detailed feasibility study has a +/- 10-15% estimation error on the independent variables using reasonable estimates guided by internet research on suppliers of equipment.

A final bankable feasibility study has a +/- 5-10% estimation error on the independent variables using EPC contractor and OEM supplier bids.

In the case of fuel oil (bunker) genset, for instance, the estimation error on the independent variables should be less than +3% and -3% so that the dependent variables will converge to a real value.

The model inputs consist of the fixed inputs (independent variables) plus a random component as shown below (based on +/- 10% range, which you can edit in the Sensitivity worksheet):

1) Plant availability factor (% of time) = 94.52% x ( 90% + (110% – 90%) * RAND() )

2) Fuel heating value (GHV) = 5,198 Btu/lb x ( 90% + (110% – 90%) * RAND() )

3) Plant capacity per unit = 12.00 MW/unit x ( 90% + (110% – 90%) * RAND() )

4) Variable O&M cost (at 5.26 $/MWh) = 30.05 $000/MW/year x ( 90% + (110% – 90%) * RAND() )

5) Fixed O&M cost (at 105.63 $/kW/year) = 1,227.64 $000/unit/year x ( 90% + (110% – 90%) * RAND() )

6) Fixed G&A cost = 10.00 $000/year x ( 90% + (110% – 90%) * RAND() )

7) Cost of fuel = 1.299 PHP/kg x ( 90% + (110% – 90%) * RAND() )

8) Plant heat rate = 12,186 Btu/kWh x ( 90% + (110% – 90%) * RAND() )

9) Exchange rate = 43.00 PHP/USD x ( 90% + (110% – 90%) * RAND() )

10) Capital cost = 1,935 $/kW x ( 90% + (110% – 90%) * RAND() )

The dependent variables that will be simulated using Monte Carlo Simulation and which a distribution curve (when you make bold font the number of random trials) may be generated are as follows:

1) Equity Returns (NPV, IRR, PAYBACK) at 30% equity, 70% debt

2) Project Returns (NPV, IRR, PAYBACK) at 100% equity, 0% debt

3) Net Profit After Tax

4) Pre-Tax WACC

5) Electricity Tariff (Feed-in-Tariff)

The models are in Philippine Pesos (PHP) and may be converted to any foreign currency by inputting the appropriate exchange rate (e.g. 1 USD = 1.0000 USD; 1 USD = 50.000 PHP, 1 USD = 3.800 MYR, etc.). Then do a global replacement in all worksheets of ‘PHP’ with ‘XXX’, where ‘XXX’ is the foreign currency of the model.

 

To purchase, email me at:

energydataexpert@gmail.com

 

You may pay using PayPal:

energydataexpert@gmail.com

or via bank/wire transfer:

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1) Name of Bank Branch & Address:

The Bank of the Philippine Islands (BPI)

Pasig Ortigas Branch

G/F Benpres Building, Exchange Road corner Meralco Avenue

Ortigas Center, PASIG CITY 1605

METRO MANILA, PHILIPPINES

2) Account Name:

Marcial T. Ocampo

3) Account Number:

Current Account = 0205-5062-41

4) SWIFT ID Number = BOPIPHMM

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Once I confirm with PayPal or with my BPI current account that the payment has been made, I will then email you the real (un-locked) model to replace the demo model you have downloaded.

Hurry and order now, this offer is only good until January 31, 2018.

Regards,

Your Energy Technology Selection and Project Finance Expert

 

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