Special Sale on Power Plant Project Finance Models (Deterministic and Stochastic) – Renewable, Conventional, Fossil, Nuclear and Waste Heat Recovery Technologies

January 7th, 2018 No Comments   Posted in financial models

Special Sale on Power Plant Project Finance Models (Deterministic and Stochastic) – Renewable, Conventional, Fossil, Nuclear and Waste Heat Recovery

=============================================

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.

=============================================

This is a special offer for the entire year of 2018. For the price of a deterministic model, you get a free copy of a stochastic model.

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 following deterministic (fixed inputs) and stochastic (random inputs using Monte Carlo Simulation) models may be downloaded for only USD1,400.

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

The models for renewable, conventional, fossil, nuclear, energy storage, and combined heat and power (CHP) project finance models are based on a single template so that you can prioritize which power generation technology to apply in a given application for more detailed design and economic study.

The models below 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.

RENEWABLE ENERGY

process heat (steam) and power

http://energydataexpert.com/shop/power-generation-technologies/advanced-biomass-cogeneration-project-finance-model-ver-3/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-biomass-direct-combustion-project-finance-model-ver-3/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-biomass-gasification-project-finance-model-ver-3/

integrated gasification combined cycle (IGCC) technology

http://energydataexpert.com/shop/power-generation-technologies/advanced-biomass-igcc-project-finance-model-ver-3/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-biomass-waste-to-energy-wte-project-finance-model-ver-3-2/

waste-to-energy (WTE) pyrolysis technology

http://energydataexpert.com/shop/power-generation-technologies/advanced-biomass-waste-to-energy-wte-pyrolysis-project-finance-model-ver-3/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-mini-hydro-run-of-river-project-finance-model-ver-3/

concentrating solar power (CSP) 400 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-concentrating-solar-power-csp-project-finance-model-ver-3/

solar PV technology 1 MW Chinese

http://energydataexpert.com/shop/power-generation-technologies/advanced-solar-photo-voltaic-pv-project-finance-model-ver-3-1-mw/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-solar-photo-voltaic-pv-project-finance-model-ver-3-25-mw/

includes 81 wind turbine power curves from onshore WTG manufacturers

http://energydataexpert.com/shop/power-generation-technologies/advanced-onshore-wind-energy-project-finance-model-ver-3-copy/

includes 81 wind turbine power curves from offshore WTG manufacturers

http://energydataexpert.com/shop/power-generation-technologies/advanced-offshore-wind-project-finance-model-ver-3/

ocean thermal energy conversion (OTEC) technology 10 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-ocean-thermal-energy-conversion-otec-10-mw-project-finance-model-ver-3/

ocean thermal energy conversion (OTEC) technology 50 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-ocean-thermal-energy-conversion-otec-project-finance-model-ver-3-50-mw/

CONVENTIONAL, FOSSIL AND NUCLEAR ENERGY

geothermal power plant 100 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-geo-thermal-project-finance-model-ver-3/

large hydro power plant 500 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-large-hydro-impoundment-project-finance-model-ver-3/

subcritical circulating fluidized bed (CFB) technology 50 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-coal-fired-circulating-fluidized-cfb-project-finance-model-ver-3-50-mw/

subcritical circulating fluidized bed (CFB) technology 135 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-coal-fired-circulating-fluidized-bed-cfb-project-finance-model-ver-3-135-mw/

subcritical pulverized coal (PC) technology 400 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-pulverized-coal-pc-subcritical-project-finance-model-ver-3/

supercritical pulverized coal (PC) technology 500 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-pulverized-coal-pc-supercritical-project-finance-model-ver-3/

ultra-supercritical pulverized coal (PC) technology 650 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-pulverized-coal-pc-ultrasupercritical-project-finance-model-ver-3/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-diesel-genset-project-finance-model-ver-3-copy/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-fuel-oil-genset-project-finance-model-ver-3-copy-2/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-fuel-oil-thermal-project-finance-model-ver-3/

natural gas combined cycle gas turbine (CCGT) 500 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-natgas-fired-combined-cycle-gas-turbine-ccgt-project-finance-model-ver-3/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-natgas-fired-open-cycle-gas-turbine-ocgt-project-finance-model-ver-3/

natural gas thermal 200 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-natgas-fired-thermal-project-finance-model-ver-3/

petroleum coke (petcoke) fired subcritical thermal 220 MW

http://energydataexpert.com/shop/power-generation-technologies/advanced-petcoke-thermal-power-plant-project-finance-model-ver-3/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-nuclear-power-phwr-project-finance-model-ver-3/

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

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-coal-fired-cfb-combined-heat-and-power-chp-project-finance-model-ver-3/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-diesel-fired-genset-combined-heat-and-power-chp-project-finance-model-ver-3/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-bunker-fired-genset-combined-heat-and-power-chp-project-finance-model-ver-3/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-gasoline-fired-genset-combined-heat-and-power-chp-project-finance-model-ver-3/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-lpg-fired-genset-combined-heat-and-power-chp-project-finance-model-ver-3/

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

http://energydataexpert.com/shop/power-generation-technologies/advanced-natgas-fired-genset-combined-heat-and-power-chp-project-finance-model-ver-3/

Cheers,

Your energy technology selection and project finance modeling expert

 

Complete List of Deterministic and Stochastic Project Finance Models

January 5th, 2018 No Comments   Posted in financial models

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

=============================================

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.

=============================================

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:

====================

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

====================

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

 

 

How to use the advanced (regulator) natural gas OCGT power plant project finance model

July 25th, 2017 No Comments   Posted in financial models

How to use the advanced (regulator) natural gas OCGT power plant project finance model

Finding an easy-to-use project finance model for a natural gas OCGT (open cycle gas turbine, also known as simple cycle gas turbine) power plant with built-in data is sometimes difficult as some models don’t have the sophistication of a regulator template model as well as the ease of using the model and viewing immediately the results of a sensitivity change in the inputs to the model.

This is now made easy because the Input & Assumptions worksheet (tab) has combined all the input and output information in a single worksheet and placing the reports in other worksheets such as Tariff Breakdown, Construction Period, Operating Period, Financial Reports and Levelized Tariff.

Following is a sample case study on a natural gas OCGT power plant. From the preliminary design and cost estimates, the top management would want to know if the business idea of going into natural gas OCGT power development, construction and operation is worth the effort – is it feasible and what are the economic and financial returns for risking capital.

Here are the inputs and outputs of the advanced template model from OMT ENERGY ENTERPRISES:

——————————————————————————————-

Here are the summary of inputs:

all-in capital cost (overnight cost) = 973 $/kW (target cost)

EPC cost portion = 575 $/kW (computed by model)

refurbishment cost = 5% of EPC cost on the 12th year (overhaul)

fixed O&M cost = 7.34 $/kW/year (target cost) = 474.49 ‘000$/unit/year (computed by goal seek)

variable O&M cost = 15.45 $/MWh (target cost) = 40.44 ‘000$/MW/year (computed by goal seek)

general admin cost = 10.00 ‘000$/year (target cost)

 

Thermal power plant inputs:

Gross heating value of natural gas OCGT fuel = 22,129 Btu/lb

Plant heat rate = 10,850 Btu/kWh (31.45% thermal efficiency)

Cost of fuel per mmBtu = 9.103 $/mmBtu

Cost of natural gas fuel = 8.628 $/GJ = 444.10 $/MT

 

Lube oil consumption rate = 5.4 gram/kWh

Density of lube oil = 0.980 kg/Liter

Cost of lube oil = 200.00 PhP/Liter

 

capacity = 85.00 MW/unit x 1 unit = 85.00 MW

 

Plant Availability Factor, %                                    33.24% (computed by goal seek)

Load Factor, %                                                           95.00% (assumed)

allowance for losses & own use, %                           5.00% (assumed)

Net Capacity Factor after losses & own use, %    30.00% (target net capacity factor)

Degradation rate, %                                                  0.2%

 

construction period = 36 months (start 2014)

operating period = 30 years (start 2017)

 

Capital cost estimation assumptions and % local cost (LC):

Power plant footprint (ha)                                   20.00

Cost of purchased land (PhP/sqm)                    25.00 (no land lease)

Land cost, $000 $49.70 100.0%
Equipment Cost ex BOP, Transport ($000/MW) $479.89 11.4%
Insurance, Ocean Freight, Local Transport, % of Equipment Cost 4.5% 100.0%
Balance of Plant (BOP), % of Equipment Cost 21.0% 100.0%
Transmission Line Distance (km) 1.00
T/L Cost per km, 69 kV ($000/km) $40.00 100.0%
Switchyard & Transformers ($000) $786.21 100.0%
Access Roads ($000/km) $181.82 100.0%
Distance of Access Road (km) 1.00
Dev’t & Other Costs (land, permits, etc) (% of EPC) 15.0% 100.0%
VAT on importation (70% recoverable) 12% 100.0%
Customs Duty 3% 100.0%
Initial Working Capital (% of EPC) 11.0% 100.0%
Contingency (% of Total Cost) 4.0% 49.4%

 

Capital cost breakdown (‘000$): (computed values)

Uses of Fund:
   Land Cost $50
   EPC (Equipment, Balance of Plant, Transport) $51,192
   Transmission Line Interconnection Facility $40
   Sub-Station Facility $786
   Development & Other Costs (Civil Works, Customs Duty) $9,226
   Construction Contingency $2,395
   Value Added Tax $4,484
   Financing Costs $8,887
   Initial Working Capital $5,646
Total Uses of Fund – $000 $82,707
                                 – PhP 000 4,159,909
Sources of Fund:
   Debt $57,895
   Equity $24,812
Total Sources of Fund $82,707

 

Local and Foreign Cost Components (from individual cost item):

Local Capital = 49 %

Foreign Capital = 51 %

 

Balance Sheet Accounts:

Receivables = 30 days of revenue

Payables    = 30 days of expenses

Inventory    = 60 days of consumables

 

Imported Capital Equipment: (fossil fuel)

Customs duty = 3%

Value added tax (VAT) = 12%

VAT recovery = 0% on 5th year of operation

 

Type of input / output VAT = 1 (with VAT)

Type of incentives = 1 (NO incentives)

 

Tax Assumptions:

Income Tax Holiday (yrs) 0
Income Tax Rate % (after ITH) 30%
Property tax (from COD) 2.0%
Property tax valuation rate (% of NBV) 80%
Local Business Tax 1.0%
Government Share (from COD) 0.0%
ER 1-94 Contribution (PhP/kWh) 0.01
Withholding Tax on Interest (Foreign Currency) – WHT 10%
Gross Receipts Tax on Interest (Local Currency) – GRT 1%
Documentary Stamps Tax (DST) 0.5%
PEZA Incentives (% of gross income) – 0% / 5% 0%
Royalty 0%

 

Capital Structure:

Equity Share = 30% at 14.00% p.a. target equity returns (IRR)

Debt Share = 70% (49% local, 51% foreign)

 

Debt Terms:

Local & Foreign Upfront & Financing Fees 2.00%
Local & Foreign Commitment Fees 0.50%
Local All-in Interest Rate excluding tax 10.00%
Local Debt Payment Period (from end of GP) (yrs) 10
Foreign All-in Interest Rate excluding tax 8.00%
Foreign Debt Payment Period (from end of GP) (yrs) 10
Local and Foreign Grace Period from COD (mos) 6
Local and Foreign debt Service Reserve (mos) 6

 

Foreign Exchange Rate:

Base Foreign Exchange Rate (PhP/US$) – 2013            48.0000 (construction)

Forward Fixed Exchange Rate (PhP/US$) – 2014           50.2971 (operating)

 

Escalation (CPI):

Annual Local CPI – for OPEX      0.0%            4.0%     for CAPEX (to model construction delay)

Annual US CPI – for OPEX           0.0%            2.0%     for CAPEX (to model construction delay)

 

Weighted Average Cost of Capital:

WACC = 10.49% p.a.

WACC pre-tax = 11.99% p.a.

WACC after-tax = 8.39% p.a.

 

Results of Financial Analysis:

 

First year tariff (Feed-in-Tariff) = 9.58605 P/kWh = 0.19059 USD/kWh

(at zero equity NPV)

 

Short run marginal cost (SRMC) and Long run marginal cost (LRMC):

Item PhP 000 PhP/kWh
Fuel        34,026,803 5.22921
Lubes                7,548 0.00116
Var O&M          5,315,159 0.81683
Total        39,349,510 6.04720
MWh net          6,507,059
SRMC        39,349,510 6.04720
Fix O&M          2,630,382 0.40424
Capital Cost        20,397,131 3.13462
LRMC        62,377,023 9.58605

SRMC = 6.04720 PHP/kWh (variable O&M + fuel + lubes)

LRMC = 9.58605 PHP/kWh (capital cost + fixed O&M + regulatory + SRMC)

 

Equity Returns: (30% equity, 70% debt)

IRR          = 14.00    % p.a. (target returns)

NPV        = 0.00     ‘000$

PAYBACK = 10.05 years

 

Project Returns: (100% equity, 0% debt)

IRR          = 11.60          % p.a.

NPV        = (570,157)  ‘000$ (negative since IRR < 14.00%)

PAYBACK = 7.29           years

——————————————————————————————-

The above runs were based on goal-seek to make equity NPV = 0 (to meet equity IRR target of 14.00% p.a.).

You can perform sensitivity analysis and save the results in a case column (copy paste value).

You can breakdown the tariff ($/kWh) into its capital ($/kW-month) and variable cost recovery ($/kWh) portions.

You can prepare all-in capital cost breakdown showing interest cost during construction and does model the impact of project construction delays.

You can show the evolution of capacity and generation (degradation) during the operating period and show other revenues, expenses and balance sheet accounts as they change over time during operation years.

You can show the income & expense statement.

You can show the cash flow statement.

You can show the balance sheet.

You can show the debt service cover ratio (DSCR) as it computes the cash flow available for debt service.

It also computes the benefits to cost ratio (B/C) of the project.

Finally, it computes the other financial ratios such as:

LIQUIDITY RATIOS

SOLVENCY RATIOS

EFFICIENCY RATIOS

PROFITABILITY RATIOS

MARKET PROSPECT RATIOS

 

Download the sample file below:

Model Inputs and Results – Natural Gas Simple Cycle GT

 

Download the complete demo model for a natural gas OCGT power plant in PHP and USD currencies are shown below:

ADV Natgas Simple Cycle Model3 – demo5b

ADV Natgas Simple Cycle Model3 (USD) – demo5b

If you have actual data from your OEM and EPC suppliers, kindly share the data with me or simply enter your live data into the above models and see how the results will change immediately before your eyes. Please email me back the updated demo model with your new data so you may share it will all our readers of this blog.

 

To purchase the PHP and USD models at a discount, click the link below:

Natural Gas-fired OCGT 85 mw Power Project Finance Model Ver. 3 – in USD and PHP Currency

 

You may place your order now and avail of a package for the unlocked model and I will give you one-hour free for assistance in putting your input data into the model (via telephone or email or FB messenger).

Your energy technology selection expert.

Email me for more details and how to order off-line:

energydataexpert@gmail.com

Visit our on-line digital store to order on-line

www.energydataexpert.com

www.energytechnologyexpert.com

 

How to use the advanced (regulator) natural gas CCGT power plant project finance model

July 25th, 2017 No Comments   Posted in financial models

How to use the advanced (regulator) natural gas CCGT power plant project finance model

Finding an easy-to-use project finance model for a natural gas CCGT (combined cycle gas turbine) power plant with built-in data is sometimes difficult as some models don’t have the sophistication of a regulator template model as well as the ease of using the model and viewing immediately the results of a sensitivity change in the inputs to the model.

This is now made easy because the Input & Assumptions worksheet (tab) has combined all the input and output information in a single worksheet and placing the reports in other worksheets such as Tariff Breakdown, Construction Period, Operating Period, Financial Reports and Levelized Tariff.

Following is a sample case study on a natural gas CCGT power plant. From the preliminary design and cost estimates, the top management would want to know if the business idea of going into natural gas CCGT power development, construction and operation is worth the effort – is it feasible and what are the economic and financial returns for risking capital.

Here are the inputs and outputs of the advanced template model from OMT ENERGY ENTERPRISES:

——————————————————————————————-

Here are the summary of inputs:

all-in capital cost (overnight cost) = 917 $/kW (target cost)

EPC cost portion = 575 $/kW (computed by model)

refurbishment cost = 5% of EPC cost on the 12th year (overhaul)

fixed O&M cost = 14.13 $/kW/year (target cost) = 6,916.62 ‘000$/unit/year (computed by goal seek)

variable O&M cost = 3.60 $/MWh (target cost) = 26.87 ‘000$/MW/year (computed by goal seek)

general admin cost = 370.00 ‘000$/year (target cost)

 

Thermal power plant inputs:

Gross heating value of natural gas CCGT fuel = 22,129 Btu/lb

Plant heat rate = 7,050 Btu/kWh (48.40% thermal efficiency)

Cost of fuel per mmBtu = 9.103 $/mmBtu

Cost of natural gas fuel = 8.628 $/GJ = 444.10 $/MT

 

Lube oil consumption rate = 5.4 gram/kWh

Density of lube oil = 0.980 kg/Liter

Cost of lube oil = 200.00 PhP/Liter

 

capacity = 620.00 MW/unit x 1 unit = 620.00 MW

 

Plant Availability Factor, %                                    96.40% (computed by goal seek)

Load Factor, %                                                     95.00% (assumed)

allowance for losses & own use, %                         5.00% (assumed)

Net Capacity Factor after losses & own use, %    87.00% (target net capacity factor)

Degradation rate, %                                               0.2%

 

construction period = 36 months (start 2014)

operating period = 25 years (start 2017)

 

Capital cost estimation assumptions and % local cost (LC):

Power plant footprint (ha)                                   20.00

Cost of purchased land (PhP/sqm)                    25.00 (no land lease)

Land cost, $000 $99.41 100.0%
Equipment Cost ex BOP, Transport ($000/MW) $458.10 11.4%
Insurance, Ocean Freight, Local Transport, % of Equipment Cost 4.5% 100.0%
Balance of Plant (BOP), % of Equipment Cost 21.0% 100.0%
Transmission Line Distance (km) 1.00
T/L Cost per km, 69 kV ($000/km) $40.00 100.0%
Switchyard & Transformers ($000) $786.21 100.0%
Access Roads ($000/km) $181.82 100.0%
Distance of Access Road (km) 1.00
Dev’t & Other Costs (land, permits, etc) (% of EPC) 15.0% 100.0%
VAT on importation (70% recoverable) 12% 100.0%
Customs Duty 3% 100.0%
Initial Working Capital (% of EPC) 11.0% 100.0%
Contingency (% of Total Cost) 4.0% 48.7%

 

Capital cost breakdown (‘000$): (computed values)

Uses of Fund:
   Land Cost $99
   EPC (Equipment, Balance of Plant, Transport) $356,450
   Transmission Line Interconnection Facility $40
   Sub-Station Facility $786
   Development & Other Costs (Civil Works, Customs Duty) $63,157
   Construction Contingency $16,437
   Value Added Tax $31,222
   Financing Costs $61,034
   Initial Working Capital $39,316
Total Uses of Fund – $000 $568,542
                                 – PhP 000 28,596,013
Sources of Fund:
   Debt $397,979
   Equity $170,563
Total Sources of Fund $568,542

 

Local and Foreign Cost Components (from individual cost item):

Local Capital = 49 %

Foreign Capital = 51 %

 

Balance Sheet Accounts:

Receivables = 30 days of revenue

Payables    = 30 days of expenses

Inventory    = 60 days of consumables

 

Imported Capital Equipment: (fossil fuel)

Customs duty = 3%

Value added tax (VAT) = 12%

VAT recovery = 0% on 5th year of operation

 

Type of input / output VAT = 1 (with VAT)

Type of incentives = 1 (NO incentives)

 

Tax Assumptions:

Income Tax Holiday (yrs) 0
Income Tax Rate % (after ITH) 30%
Property tax (from COD) 2.0%
Property tax valuation rate (% of NBV) 80%
Local Business Tax 1.0%
Government Share (from COD) 0.0%
ER 1-94 Contribution (PhP/kWh) 0.01
Withholding Tax on Interest (Foreign Currency) – WHT 10%
Gross Receipts Tax on Interest (Local Currency) – GRT 1%
Documentary Stamps Tax (DST) 0.5%
PEZA Incentives (% of gross income) – 0% / 5% 0%
Royalty 0%

 

Capital Structure:

Equity Share = 30% at 14.00% p.a. target equity returns (IRR)

Debt Share = 70% (49% local, 51% foreign)

 

Debt Terms:

Local & Foreign Upfront & Financing Fees 2.00%
Local & Foreign Commitment Fees 0.50%
Local All-in Interest Rate excluding tax 10.00%
Local Debt Payment Period (from end of GP) (yrs) 10
Foreign All-in Interest Rate excluding tax 8.00%
Foreign Debt Payment Period (from end of GP) (yrs) 10
Local and Foreign Grace Period from COD (mos) 6
Local and Foreign debt Service Reserve (mos) 6

 

Foreign Exchange Rate:

Base Foreign Exchange Rate (PhP/US$) – 2013            48.0000 (construction)

Forward Fixed Exchange Rate (PhP/US$) – 2014           50.2971 (operating)

 

Escalation (CPI):

Annual Local CPI – for OPEX      0.0%            4.0%     for CAPEX (to model construction delay)

Annual US CPI – for OPEX           0.0%            2.0%     for CAPEX (to model construction delay)

 

Weighted Average Cost of Capital:

WACC = 10.48% p.a.

WACC pre-tax = 11.97% p.a.

WACC after-tax = 8.38% p.a.

 

Results of Financial Analysis:

 

First year tariff (Feed-in-Tariff) = 4.81729 P/kWh = 0.09578 USD/kWh

(at zero equity NPV)

 

Short run marginal cost (SRMC) and Long run marginal cost (LRMC):

Item PhP 000 PhP/kWh
Fuel      391,742,442 3.39778
Lubes            133,745 0.00116
Var O&M        21,841,145 0.18944
Total      413,717,332 3.58838
MWh net      115,293,514
SRMC      413,717,332 3.58838
Fix O&M        23,045,754 0.19989
Capital Cost      118,638,864 1.02902
LRMC      555,401,951 4.81729

SRMC = 3.58838 PHP/kWh (variable O&M + fuel + lubes)

LRMC = 4.81729 PHP/kWh (capital cost + fixed O&M + regulatory + SRMC)

 

Equity Returns: (30% equity, 70% debt)

IRR          = 14.00    % p.a. (target returns)

NPV        = 0.00     ‘000$

PAYBACK = 9.87    years

 

Project Returns: (100% equity, 0% debt)

IRR          = 11.41          % p.a.

NPV        = (4,243,735)  ‘000$ (negative since IRR < 14.00%)

PAYBACK = 7.35           years

——————————————————————————————-

The above runs were based on goal-seek to make equity NPV = 0 (to meet equity IRR target of 14.00% p.a.).

You can perform sensitivity analysis and save the results in a case column (copy paste value).

You can breakdown the tariff ($/kWh) into its capital ($/kW-month) and variable cost recovery ($/kWh) portions.

You can prepare all-in capital cost breakdown showing interest cost during construction and does model the impact of project construction delays.

You can show the evolution of capacity and generation (degradation) during the operating period and show other revenues, expenses and balance sheet accounts as they change over time during operation years.

You can show the income & expense statement.

You can show the cash flow statement.

You can show the balance sheet.

You can show the debt service cover ratio (DSCR) as it computes the cash flow available for debt service.

It also computes the benefits to cost ratio (B/C) of the project.

Finally, it computes the other financial ratios such as:

LIQUIDITY RATIOS

SOLVENCY RATIOS

EFFICIENCY RATIOS

PROFITABILITY RATIOS

MARKET PROSPECT RATIOS

 

Download the sample file below:

Model Inputs and Results – Natural Gas Combined Cycle GT

 

Download the complete demo model for a natural gas CCGT power plant in PHP and USD currencies are shown below:

ADV Natgas Combined Cycle Model3 – demo5b

ADV Natgas Combined Cycle Model3 (USD) – demo5b

If you have actual data from your OEM and EPC suppliers, kindly share the data with me or simply enter your live data into the above models and see how the results will change immediately before your eyes. Please email me back the updated demo model with your new data so you may share it will all our readers of this blog.

 

To purchase the PHP and USD models at a discount, click the link below:

Natural Gas-fired CCGT 620 mw Power Project Finance Model Ver. 3 – in USD and PHP Currency

 

You may place your order now and avail of a package for the unlocked model and I will give you one-hour free for assistance in putting your input data into the model (via telephone or email or FB messenger).

Your energy technology selection expert.

Email me for more details and how to order off-line:

energydataexpert@gmail.com

Visit our on-line digital store to order on-line

www.energydataexpert.com

www.energytechnologyexpert.com

 

Combined Cycle and Simple (Open) Cycle Gas Turbine Project Finance Model Template (Financials Tab) – free demo

April 17th, 2016 No Comments   Posted in power generation

Combined Cycle and Simple (Open) Cycle Gas Turbine Project Finance Model Template (Financials Tab) – free demo

This is the latest project finance model template (financials tab or worksheet) that your energy technology selection expert has developed for the various natural gas-fired power generation technologies. Familiarize with the template and if interested, get the full unlocked version for your immediate use. I can also provide data input service or customize further the model.

Natural gas is a clean fuel that may be used in simple cycle (open cycle or Brayton cycle) gas turbines such as those used in jet engines, or when the waste heat is recovered in a heat recovery boiler (Rankin cycle). This two cycles (Brayton and Rankin) combine to raise the overall thermal efficiency from 33% to over 54%.

More »

AG&P plans big power plant

August 23rd, 2013 No Comments   Posted in Energy Supply, Uncategorized

AG&P plans big power plant

By Alena Mae S. Flores | Posted on Aug. 17, 2013 at 12:01am

http://manilastandardtoday.com/2013/08/17/agp-plans-big-power-plant/

Atlantic, Gulf and Pacific Company of Manila Inc. will build a 2,400-megawatt combined cycle gas turbine power plant project inside the PNOC AFC Industrial Estate in Bataan.

AG&P is an industrial process outsourcing company providing fabrication and assembly, modularization and asset management services to the oil and gas, mining, power and civil infrastructure sectors.

The industrial estate, meanwhile, is owned by PNOC Alternative Fuels Corp., formerly known as PNOC Petrochemical Development Corp. until its articles of incorporation was amended on July 13, 2006. More »

HOW TO PLAN AND OPTIMIZE THE ENERGY, OIL, GAS, POWER AND TRANSMISSION INFRASTRUCTURE OF THE PHILIPPINES

HOW TO PLAN AND OPTIMIZE THE ENERGY, OIL, GAS, POWER AND TRANSMISSION INFRASTRUCTURE OF THE PHILIPPINES

My sincerest thanks to the readers, government officials, private investors, power developers, funding institution and non-government organizations that will respond positively to this conversation that I started recently as part of my functions as Senior Power Generation Engineer at SKM.

It is my fervent hope that this conversation will be continued as a result of your endorsement to the right parties and that timely coordination and meetings are done soonest as time is of the essence in having an integrated and optimized energy master plan for the country before year end 2013.

 

More »

Energy and Climate Change Projects of MARCIAL OCAMPO

May 18th, 2012 1 Comment   Posted in Energy and Climate Change

Energy and Climate Change Projects of MARCIAL OCAMPO

A)    International Consultancy on Renewable Energy, Fuel Cell Bus, Climate Change and GHG Inventory

1)      External Evaluation of ESMAP 2007-2011

January 6-19, 2012 completed (Manila, Philippines)

The Baastel Consulting Group has been contracted by the World Bank to carry out an
independent review of the outcomes and achievements of ESMAP for the last five
years.  ESMAP (Energy Sector Management Assistance Program) is a global knowledge and technical assistance partnership administered by the World Bank. ESMAP’s primary mission is to assist low and middle-income countries to increase know-how and institutional capacity to achieve environmentally sustainable energy solutions for poverty reduction and economic growth. More »

Shopping Cart for my Power Generation and Fuel Cycle Technology Power Pt Presentation and Articles – new price list

August 13th, 2011 No Comments   Posted in power generation

Shopping Cart for my Power Generation and Fuel Cycle Technology Power Pt Presentation and Articles – new price list

Due to the tremendous interest and response from avid readers to this blog, your energy technology selection and business development expert is now automating the order taking, payment and downloading of its various power generation power pt presentable and articles as well as project finance models.

Here is the new price list for my energy data base, power plant emission, feed-in-tariff, renewable energy resource assessment and project finance models for conventional, renewable and nuclear energy.

If you are investing in energy and power generation projects in the Philippines or any other country, please email me so you could outsource to me the gathering of all energy, oil and power consumption, demand and projections to support the market study of your feasibility studies. More »