The Alternatives to Nuclear Power and Expensive Renewable Energy Technologies

September 8th, 2016 No Comments   Posted in cost of power generation, Uncategorized

The Alternatives to Nuclear Power and Expensive Renewable Energy Technologies

Talks about using nuclear energy and reviving the Bataan Nuclear Power Plant (BNPP) and to use rapidly getting cheaper renewable energy such as solar PV and wind are all long-shots in making Philippine electricity cheaper and more reliable.

What the country needs are safe, indigenous and base load power plants.

The nuclear option is a long-way to go as the country needs to develop and upgrade its nuclear regulatory framework (our Philippine Atomic Energy Commission is a research agency, not a nuclear regulator), the BNPP has to be technically, environmentally, geologically and economically studied to see if it is safe, its components are still in good working order or needs to be replaced and upgraded, the country is equipped to handle any nuclear mishaps, accidents, terrorist attacks, and the additional $1 billion to upgrade and make operational and cost of nuclear fuel rods will still allow BNPP to make electricity below grid rate of 5-6 P/kWh. We can’t reduce power costs unless we introduce power plants that are cheaper to build, more efficient to run, environmentally and geologically compliant, and have secure and cheaper sources of fuels. More »

Wind Energy Project Finance Model Template (Financials Tab) – free demo

April 17th, 2016 No Comments   Posted in wind energy and power

Wind Energy 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 on-shore and off-shore wind energy farm (non-thermal renewable energy). 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.

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Wind Energy Financial Model with Stochastic (Probabilistic) Wind Turbine Simulator for Annual Power Output and Capacity Factor

March 29th, 2016 No Comments   Posted in wind energy and power

Wind Energy Financial Model with Stochastic (Probabilistic) Wind Turbine Simulator for Annual Power Output and Capacity Factor

Wind Turbine Generator (WTG) is the current darling of the renewable energy power generation industry.

It is clean, generally available, and cost-effective. It’s power output, however, is very variable, ever changing by the hour with time.

Now with the instantaneous wind speed as a function of the average speed +/- the positive and negative deviation multiplied by a random fraction, the probable wind speed and thus the power output can be simulated, and when aggregated in 24 x 365 hours in a year, the annual energy output and annual capacity factor is determined.

And using statistical analysis, the expected value (mean), standard error, median, standard deviation, variance, skewness and Kurtosis are calculated for both the annual energy output and annual capacity factor. More »

Stochastic (Probabilistic) Wind Turbine Simulator for Annual Power Output and Capacity Factor

February 4th, 2015 No Comments   Posted in wind energy and power

Stochastic (Probabilistic) Wind Turbine Simulator for Annual Power Output and Capacity Factor

 Wind Turbine Generator (WTG) is the current darling of the renewable energy power generation industry.

It is clean, generally available, and cost-effective. It’s power output, however, is very variable, ever changing by the hour with time.

Now with the instantaneous wind speed as a function of the average speed +/- the positive and negative deviation multiplied by a random fraction, the probable wind speed and thus the power output can be simulated, and when aggregated in 24 x 365 hours in a year, the annual energy output and annual capacity factor is determined.

And using statistical analysis, the expected value (mean), standard error, median, standard deviation, variance, skewness and Kurtosis are calculated for both the annual energy output and annual capacity factor. More »

Project Finance Models for CLEAN DEVELOPMENT MECHANISM (CDM EDITION)

June 27th, 2012 No Comments   Posted in renewable energy

Project Finance Models for CLEAN DEVELOPMENT MECHANISM (CDM EDITION)

Yes, your energy technology selection and business development expert has developed a low-cost set of project finance models for CDM professionals (engineers, business development, investment bankers, managers) and novice professionals who want to learn and start their career in financial modeling of renewable energy projects.

Just follow this link to order, pay and download your favorite renewable energy project finance model – CLEAN DEVELOPMENT MECHANISM EDITION. More »

Project Finance Models for FEED-IN-TARIFF REGULATOR

June 27th, 2012 1 Comment   Posted in renewable energy

Project Finance Models for FEED-IN-TARIFF REGULATOR

Yes, your energy technology selection and business development expert has developed a low-cost set of project finance models for government feed-in-tariff regulators and novice professionals who want to learn and start their career in financial modeling of renewable energy projects.

Just follow this link to order, pay and download your favorite renewable energy project finance model – FEED-IN-TARIFF REGULATOR EDITION. More »

Project Finance Models for PROFESSIONALS

June 27th, 2012 No Comments   Posted in renewable energy

Project Finance Models for PROFESSIONALS

Yes, your energy technology selection and business development expert has developed a low-cost set of project finance models for professionals (engineers, business development, investment bankers, managers) and novice professionals who want to learn and start their career in financial modeling of renewable energy projects.

Just follow this link to order, pay and download your favorite renewable energy project finance model – PROFESSIONAL EDITION. More »

Project Finance Models for STUDENTS

June 27th, 2012 No Comments   Posted in renewable energy

 Project Finance Models for STUDENTS

Yes, your energy technology selection and business development expert has developed a low-cost set of project finance models for students (college, masteral, PhD) and novice professionals who want to learn and start their career in financial modeling of renewable energy projects.

Just follow this link to order, pay and download your favorite renewable energy project finance model – STUDENT EDITION. More »

CDM Wind Model2.xls

June 25th, 2012 No Comments   Posted in renewable energy

CDM Wind Model2.xls

In addition to the worksheets found in the ADV models of the regulator, 5 additional tabs or worksheets have been added (Capex, Opex, Revenues, Project IRR and Sensitivity) into the CDM model which is a financial evaluation without taxes (that distort the economic and technical performance) and debt (pure equity investment). For the RE project to benefit from CDM credits, the project IRR should not be more than 15% p.a.

Wind energy is most available in countries within the 40 deg North latitude and 40 deg South latitude. It can be harnessed using giant wind turbines that when connected together in a wind farm can provide utility scale capacities of 2.0 MW per turbine and with 15 turbines, could produce 30 MW of power in a given wind farm. More »

MTO Wind Model.xls

June 24th, 2012 No Comments   Posted in renewable energy

MTO Wind Model.xls

Wind energy is most available in countries within the 40 deg North latitude and 40 deg South latitude. It can be harnessed using giant wind turbines that when connected together in a wind farm can provide utility scale capacities of 2.0 MW per turbine and with 15 turbines, could produce 30 MW of power in a given wind farm.

This MTO first-year tariff for wind makes use of the basic assumptions of the country’s RE regulator for rated capacity (30 MW), capacity factor (25.8%), plant own use (5%), and transmission line loss (3%). More »

ADV Wind Model.xls

June 24th, 2012 No Comments   Posted in renewable energy

ADV Wind Model.xls

Wind energy is most available in countries within the 40 deg North latitude and 40 deg South latitude. It can be harnessed using giant wind turbines that when connected together in a wind farm can provide utility scale capacities of 2.0 MW per turbine and with 15 turbines, could produce 30 MW of power in a given wind farm.

This advanced model for wind makes use of the basic assumptions of the country’s RE regulator for rated capacity (15 x 2 MW), capacity factor (25.8%), plant own use (3%), and 0.20% plant degradation rate. More »

Get Your Energy Technology Articles the Easy Way – Shopping Cart

June 19th, 2012 No Comments   Posted in energy technology expert

Get Your Energy Technology Articles the Easy Way – Shopping Cart

You can now order on-line your energy technology articles the easy way – via the Shopping Cart.

Once you have decided to purchase, proceed to order via the shopping cart and pay thru PayPal thru your bank account or your credit card and download immediately the models. More »

Get Your Project Finance Models the Easy Way – Shopping Cart

Get Your Project Finance Models the Easy Way – Shopping Cart

You can now order on-line your project finance models the easy way – via the Shopping Cart.

Once you have decided to purchase, proceed to order via the shopping cart and pay thru PayPal thru your bank account or your credit card and download immediately the models. 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 »

Wind-Diesel Hybrid Project Finance Model with Wind Resource Assessment – now available

March 17th, 2012 1 Comment   Posted in renewable energy

Wind-Diesel Hybrid Project finance Model with Wind Resource Assessment – now available

Analyzing the economics of a wind-diesel hybrid power plant has now become simple with the new wind-diesel project finance model having a wind energy resource simulator. Avoid the time consuming hassle by purchasing this latest product offering from your energy technology selection expert. More »

Wind Power Model – avail of 50% discount now

August 5th, 2011 1 Comment   Posted in renewable energy

Wind Power Model- avail of 50% discount now

As promised in my previous blog, I will now deal with the cost of renewable energy technologies (feed-in-tariff). I will be making a special offer for the purchase of the following RE technologies:

1) Biomass Power Model (Direct Combustion, Cogeneration, Gasification of MSW)

2) Mini-Hydro Power Model

3) Ocean Thermal Energy Conversion (OTEC) Model

4) Solar PV Power Model

5) Wind Power Model

6) Renewable Energy Resource Assessment Model (Wind, Solar PV, Mini-Hydro) – Converts wind speed measurement, solar radiation and rainfall data into hourly power output, annual power generation and annual capacity factor) More »

The Paradigm Shift from Nuclear Energy to Renewable Energy – the Fukushima debacle

April 16th, 2011 4 Comments   Posted in nuclear energy and power

The Paradigm Shift from Nuclear Energy to Renewable Energy – the Fukushima debacle

The recent nuclear meltdown incident in one of the 15th largest nuclear power plant in the world as a result of a sequence of events starting with an Intensity 9.0 earthquake that initiated a 10-15 meter tsunami wave within minutes (leaving little time for safe evacuation in spite of adequate tsunami warning by civil and military authorities) that engulfed as far as 10-20 kilometers inland along the flat lands of northeastern Japan, and in the process destroying buildings, roads, bridges, flinging ships inland and disabling the backup diesel generation system of the Fukushima nuclear power plant.

There are newspaper accounts that the earthquake isolated the Fukushima nuclear power plant from the grid, and with a non-operable backup diesel generation backstopped only by an 8-hour battery pack, the world was indeed very close to a China-syndrome type nuclear power plant meltdown. Only the timely use of seawater pumped using crude methods to cool the reactor core and the spent fuel pool prevented a full meltdown. Up to now, the nuclear power plant operator has not succeeded in stabilizing the cooling water system and has relied on pumping and spraying sea water over the damaged nuclear reactors and exposed spent fuel rod cooling pools, leading to leakage of hot radioactive and contaminated sea water into the sea thru the minute cracks on the reactor building’s damage floors. More »

Feed-in Tariff Models for Renewable Energy – biomass, cogen, mini-hydro, wind, solar and ocean thermal (OTEC)

April 29th, 2010 6 Comments   Posted in feed-in tariff

Feed-in Tariff Models for Renewable Energy – biomass, cogen, mini-hydro, wind, solar and ocean thermal (OTEC)

Renewable energy feed-in tariffs for biomass, biomass cogen, mini-hydro or run-of-river hydro, wind, solar PV and ocean thermal energy conversion (OTEC) have been calculated using a project finance model prepared for the National Renewable Energy Board (NREB) by Marcial Ocampo – your favorite energy technology expert.

Using standard assumptions of supplier FOB, the all-in capital cost is calculated.  The summary sheet of the model then summarizes the assumptions and results.

Marcial Ocampo

Energy & Business Development Consultant

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New Summary Report Format for Project Finance Model for Feed-in Tariff

April 22nd, 2010 1 Comment   Posted in feed-in tariff

New Summary Report Format for Project Finance Model for Feed-in Tariff

A new and improved summary report format for the state-of-the-art project finance model has been developed and ready for implementation in all small scale, large scale and renewable energy project finance models.

Please refer to the sample format below and the author would appreciate receiving your valuable feedback.

Two formats are available: one for renewable energy projects without fuel requirement (mini-hydro, wind, solar) and those with fuels (biomass, cogen and other fossil-fired power plants such as diesel, coal, oil and natural gas).

This is to enable presentation of the plant heat rate and conversion efficiency from fuel energy to electrical energy as well as lube oil consumption rate.

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Free Trial of Project Finance Model for Renewable Energy Feed-in Tariff Calculation

March 25th, 2010 6 Comments   Posted in feed-in tariff, financial models

Free Trial of Project Finance Model for Renewable Energy Feed-in Tariff Calculation
The energy expert and author of this blog is inviting his dedicated viewers to email him or comment on this blog.

The first 20 viewers who will email him for the next 48 hours starting this day of March 25, 2010 at 24:00 hours (12 midnight) Philippine Time will receive a demo copy of his famous project finance models for calculating feed-in tariff.  If he is satisfied, he may order the working copy by proceeding to the DONATE button or to the ENERGY DATA page of his blog.

Feed-in tariff is a regulatory mechanism developed to encourage the development and growth of Renewable Energy by encouraging RE power generation technologies such as biomass energy, mini-hydro, wind, solar and ocean energy.

It is a fixed tariff calculated using the discounted cash flow internal rate of return (DCF IRR) which compares the equity portion (usually 30%) of the all-in project cost (land, equipment, project development, working capital, interest during construction) to the expected net cash flow.

It is usually a fixed tariff for a minimum period of 15 years that allows the RE developer to recover the cost of capital (equity and debt), allowable generation cost, and provide reasonable profit at the minimum equity returns needed by investors.

What are you waiting for.  Email me now and be the among the lucky first 20 viewers to receive the demo copy.

Regards,

MARCIAL T. OCAMPO

Energy Technology & Business Development Consultant

Email: mars_ocampo@yahoo.com

energydataexpert@gmail.com

Web:   www.energytechnologyexpert.com

http://ph.linkedin.com/in/ocampomarcial