Posts Tagged ‘circulating fluidized bed’
Circulating Fluidized Bed (CFB) Power Plant Model in Asian, Australia, New Zealand and Oceania Country Currencies – includes financial ratios for risk analysis
Finding a project finance model template for circulating fluidized bed (CFB) in Asian, Australia, New Zealand and Oceania country currencies is now made easy using exchange rates to US DOLLAR as of March 14, 2017.
The models also include financial ratios to identify potential risks during the project development stage, such as:
a) Liquidity Ratios (current ratio, quick ratio)
b) Solvency Ratios (debt to equity ratio, equity ratio, debt ratio)
c) Efficiency Ratios (asset turnover ratio, inventory turnover ratio)
d) Profitability Ratios (gross margin ratio, EBITDA margin ratio, return on assets ratio, net profit to assets ratio, return on owners’ equity, return on capital employed ratio)
e) Market Prospect Ratios (earnings per share, price earnings ratio, dividend payout ratio, dividend yield ratio)
Clean coal technology such as CFB is needed in Asia to develop its human capital and natural resources so it could provide the needed engine for growth. Investments in CFB power generation technology will provide both cheap base load power with lower sulfur and particulate emissions from conventional fossil power plants.
The sample model is based on the advanced (regulator) template that is easy to use and understand.
Whatever currency you use, when the cost inputs are the same in USD currency, the resulting all-in capital cost (USD, USD/kW) and electricity tariff (USD/kWh) will be the same for all
Try the samples below (paste the links below into your browser or Google the demo model):
CIRCULATING FLUIDIZED BED (CFB) POWER PLANT MODELS
Exchange rates are for the month of March 2017.
Afghanistan – Afghan Afghani (1 USD = 66.8029 AFN)
Armenia – Armenian Dram (1 USD = 485.840 AMD)
Azerbaijan – Azerbaijani Manat (1 USD = 1.73908 AZN)
Bahrain – Bahraini Dinar (1 USD = 0.377000 BHD)
Bangladesh – Bangladeshi Taka (1 USD = 80.3338 BDT)
Bhutan – Bhutanese Ngultrum (1 USD = 65.5029 BTN)
Brunei – Brunei Darussalam Dollar (1 USD = 1.41339 BND)
Cambodia – Cambodian Riel (1 USD = KHR 4083.29 KHR)
China – Chinese Yuan Renminbi (1 USD = 6.91388 CNY)
Cyprus – Cypriot Pound (1 USD = 0.551271 CYP)
Georgia – Georgian Lari (1 USD = 2.48484 GEL)
India – Indian Rupee (1 USD = 65.4680 INR)
Indonesia – Indonesian Rupiah (1 USD = 13372.00 IDR)
Iran – Iranian Real (1 USD = 32408.88 IRR)
Iraq – Iraqi Dinar (1 USD = 1179.16 IQD)
Israel – Israeli Shekel (1 USD = 3.66284 ILS)
Japan – Japanese Yen (1 USD = 114.799 JPY)
Jordan – Jordanian Dinar (1 USD = 0.709499 JOD)
Kazakhstan – Kazakhstani Tenge (1 USD = 319.127 KZT)
Kuwait – Kuwaiti Dinar (1 USD = 0.305597 KWD)
Kyrgyzstan – Kyrgyzstani Som (1 USD = 69.2456 KGS)
Laos – Laotian Kip (1 USD = 8116.88 LAK)
Lebanon – Lebanese Pound (1 USD = 1512.34 LBP)
Malaysia – Malaysian Ringgit (1 USD = 4.44976 MYR)
Maldives – Maldivian Rufiyaa (1 USD = 15.4100 MVR)
Mongolia – Mongolian Tughrik (1 USD = 2454.01 MNT)
Myanmar (Burma) – Burmese Kyat (1 USD = 1376.43 MMK)
Nepal – Nepalese Rupee (1 USD = 104.832 NPR)
North Korea – North Korean Won (1 USD = 129.442 KPW)
Oman – Omani Rial (1 USD = 0.385000 OMR)
Pakistan – Pakistani Rupee (1 USD = 104.830 PKR)
Philippines – Philippine Peso (1 USD = 50.2557 PHP)
Qatar – Qatari Riyal (1 USD = 3.64128 QAR)
Russia – Russian Ruble (1 USD = 59.0427 RUB)
Saudi Arabia – Saudi Arabian Riyal (1 USD = 3.75035 SAR)
Singapore – Singapore Dollar (1 USD = 1.41302 SGD)
South Korea – South Korean Won (1 USD = 1143.44 KRW)
Sri Lanka – Sri Lankan Rupee (1 USD = 151.685 LKR)
Syria – Syrian Pound (1 USD = 214.350 SYP)
Taiwan – Taiwan New Dollar (1 USD = 30.8661 TWD)
Tajikistan – Tajikistan Somoni (1 USD = 8.10220 TJS)
Thailand – Thai Baht (1 USD = 35.2789 THB)
Turkey – Turkish Lira (1 USD = 3.74179 TRY)
Turkmenistan – Turkmenistani Manat (1 USD = 3.50000 TMT)
United Arab Emirates (UAE) – Emirati Dirham (1 USD = 3.67290 AED)
Uzbekistan – Uzbekistani Som (1 USD = 3499.92 UZS)
Vietnam – Vietnamese Dong (1 USD = 22746.23 VND)
Yemen – Yemeni Rial (1 USD = 250.626 YER)
AUSTRALIA and OCEANIA
Australia – Australian Dollar (1 USD = 1.30408 AUD)
New Zealand – New Zealand Dollar (1 USD = 1.42273 NZD)
Fiji – Fijian Dollar (1 USD = 2.07700 FJD)
Kiribati – Australian Dollar (1 USD = 1.30408 AUD)
Marshall Islands – US Dollar
EUROPEAN UNION – EURO (1 USD = 1.0765 EUR)
UNITED STATES OF AMERICA – US DOLLAR (1 USD = 1.0000 USD)
The reader may request for other international currencies from the Energy Technology Selection Expert and Project Finance Modeling Expert.
Just email me the Country, name of currency and the base rate and forward rate exchange currency per US DOLLAR, and perhaps the OPEX and CAPEX escalation for the Country and the US escalation to assume too.
There are many more renewable (solar CSP, solar PV, wind offshore, wind onshore, mini-hydro, OTEC), conventional (oil genset, oil thermal, coal thermal, petcoke thermal, gas thermal, combined cycle GT, simple cycle GT, geothermal, large hydro), nuclear power, and waste heat recovery systems (gasoline engine, diesel engine, and gas turbines using natural gas, landfill gas, propane, LPG).
Email me for more details and how to order off-line:
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HOW MINE-MOUTH POWER PLANT DEVELOPMENT WILL LOWER ELECTRICITY COST IN THE PHILIPPINES
By: Arnulfo A. Robles, Ismael U. Ocampo and Mars T. Ocampo
With valuable insights from: Dr. Guillermo R. Balce
Paper was Presented during the COAL BUSINESS POLICY FORUM 2016 at the New World Hotel, Makati, 17 November 2016
The development of coal-fired mine-mouth power plants in the Philippines is one measure that can address the country’s need for electricity cost reduction, energy supply security and a shift from coal to renewable energy.
The use of mine-mouth power plants as a low-cost electricity development option in the USA, Thailand, Indonesia, Laos and Mongolia are cited as examples that can guide the Philippines. A review of coal resources in the country indicates 10 potential sites for mine-mouth power plants distributed in proximity to the electricity grid and HVDC substations. The estimated cost of generating electricity from these sites ranges from Php2.61/kwh to Php4.45/kwh, which is significantly lower than the average generation cost of Php5.425 in 2014.
Because mine-mouth power plants use indigenous coal resources, they can reduce the Philippines’ exposure to coal price volatility and protect the country from coal supply disruption due to commercial and political risks.
Coal-fired mine-mouth power plants utilizing circulating fluidized bed combustion (CFBC) technology and low calorific value lignite can be converted to biomass-fired plants, which can use agricultural waste or wood chips sourced from systematic management of forest areas near plant sites. Thus, coal-fired mine-mouth power development is a potential measure in the country’s quest to shift from coal to renewable energy.
We therefore recommend that coal-fired mine-mouth power plants be given an incentive of priority dispatch similar to renewable energy plants. Benefits to host communities should be increased from 0.01 to 0.02 PhP/kWh (DOE 1-94) to encourage hosting of coal-biomass-fired mine-mouth power plants. COC holders and power plant investors should be encouraged to operate commercial biomass farms or industrial forest management areas in the vicinity of the plants to provide continuous fuel supply. The increment of 0.01 PhP/kWh may be shared among the barangays, municipalities and provinces to encourage the LGUs to host such power plants.
Inclusive economic growth is further assured by organizing the nearby communities into forest management cooperatives to plant and grow appropriate fast-growing tree species to supply the wood chip requirements of the coal-biomass-fired power plant. For instance, planting rubber trees that would provide rubber sap to a nearby rubber factory after 5 years would be ideal. This would provide immediate income after only 5 years up to 10 years when the rubber trees would be fully mature for wood chipping as they no longer produce rubber sap.
By planting specific areas in an organized manner, a continuous year-round supply of biomass wood chips is assured for the power plant, thereby extending the life of the mine-mouth coal reserves. Moreover, the biomass tree farm would ensure ecological balance within the surface/strip mine area. Once the coal reserves are exhausted or deemed expensive to mine, the biomass tree farm would ensure continued power plant operation, provide steady income to local communities and assure the supply of rubber sap to a nearby raw rubber factory.
Email me for the complete presentation, pictures of mine-mouth power plants, and calculation tables.
You may download the complete document and presentation materials (in pdf format).
Sample Project Finance Model
Here is a sample project finance model for a biomass thermal power plant that can be customized for your specific need: (Advanced regulator model)
The same model above is also presented in just one worksheet (tab) so you would be able to understand better the structure of a project finance model: (OMT Energy Enterprises model)
A sample non-thermal power plant (no fuel GHV and no fuel cost) can also be downloaded:
A sample liquid fossil thermal power plant (with fuel GHV, fuel density and fuel cost) is also available:
Email me if you need customization:
You may order on-line any project finance model of any renewable, conventional, fossil, nuclear, combined heat and power, and energy storage power generation technologies by visiting this website:
Or please visit this blog for any power generation technology article:
The energy technology expert and financial modeling expert
Coal Thermal and Clean-Coal 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 geothermal power generation technology using energy stored on the earth’s crust. 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.
Solid fossil fuel such as coal (lignite, sub-bituminous, bituminous, etc.) are available in large quantities in many places around the world and will provide a cheap source of fuel to generated power in base-load coal-fired power plants using circulating fluidized bed (CFB) and the newer pulverized coal (PC) technologies such as super-critical and ultra-super-critical technologies.
Economic Model (Project Finance Model) for a CFB Power Plant (coal, biomass)
I am pleased to announce the availability of a new project finance model for a CFB power plant that can burn both coal and biomass.
The model accepts the following information: More »
Coal-Fired Power Plant: How to Design and Calculate Plant Footprint, Fuel, Limestone, Hauling Trucks and Storage Areas for Coal and Ash
Coal-Fired Power Plant: How to Design and Calculate Plant Footprint, Fuel, Limestone, Hauling Trucks and Storage Areas for Coal and Ash
Yes, your favourite energy technology expert has prepared a simple but easy-to-use power plant model to augment your project finance model to calculate the following:
1) Coal quality and quantity of coal reserves (measured, indicative, inferred, total in-situ reserves)
2) Average specification of coal reserve (heating value, ash, volatile combustible matter, fixed carbon, sulfur, moisture)
3) Ultimate analysis of coal reserve (Carbon, Hydrogen, Nitrogen, Oxygen, Sulfur) More »
New Simplified Calculation Procedure for Levelized Cost of Energy (LCOE) and Feed-in Tariff
As part of the on-going technical preparations for the proposed mini-conference on the Mindanao Power Crisis this coming late August or early September 2010 and the main conference on “Energy & Climate Change”, the workshop coordinator, Mr. Marcial T. Ocampo, has prepared the simplified calculation procedure for calculating the levelized cost of energy (LCOE) and levelized selling price (tariff) for conventional and renewable energy resources.
The result of the simplified formulas using the US NREL formula for generation cost and the RP MTO formula for selling price were compared with the results from a full-blown project finance model and the variance between the two methods were minimal in most of the power generation technologies analyzed.
The input data came from the IEPR research summary of 2007 and from internationally published data on power generation technology by noted experts such as Paul Breeze and yours truly, Marcial Ocampo. More »
Tags: advanced nuclear, biogas, biomass, biomass cogeneration, biomass direct combustion, biomass gasification, circulating fluidized bed, clean coal, co-firing with coal, combined cycle gas turbine, concentrating solar, fuel cells, gas thermal, geothermal, geothermal binary, geothermal flashed steam, hydro, landfill gas, large hydro, LCOE, levelized cost of energy, levelized generation cost, levelized selling price, micro hydro, mini hydro, municipal solid waste, nuclear, ocean thermal conversion technology, ocean wave, oil diesel, oil thermal, OTEC, power generation technology, pulverized coal, pumped hydro, sewage digestion, simple gas turbine, small hydro, solar photovoltaic, solar PV, solar thermal, tariff, tidal power, utility wind, wave energy, wind, wind farm
Available Project Finance Models with CDM and Renewable Energy Law Incentives
I just finished polishing all my project finance models for the following power generation technologies and are now available for actual runs by project developers, researchers and individuals doing business development. Using the models below will allow user to determine as quickly as possible the “best new entrant” technology applicable to a particular location given the fuel and energy resource available and the electricity tariff prevailing in the area. More »
Tags: biomass, CDM, CFB, circulating fluidized bed, coal thermal, cogen, cogeneration, combined cycle GT, diesel & RE hybrid, diesel engine, for energy storage, fuel cells, gas thermal, geothermal, incremental economic analysis, Kyoto Protocol, mini hydro, ocean thermal, ocean wave, oil thermal, project finance model, simple cycle GT, solar PV, solar thermal, tidal power and nuclear, wind farm
World Energy Technology Series 2 – ADVANCED COAL POWER GENERATION TECHNOLOGIES
Your energy technology and pricing expert is releasing issue #2 on Advanced Coal Technologies. This series will focus on energy technologies (fossil, renewable, nuclear, storage) by giving information on the energy resource, basic principles, energy conversion technology, overnight capital cost ($/kW), operating and maintenace costs (fixed O&M $/kW/yr, variable O&M $/kWh), maintenance and overhaul schedule (to determine capacity factor and availability), outage rate and reliability, construction lead time, economic life, conversion efficiency (input energy to output power or heat or cooling), fuel heating value (gross and net BTU/lb, kJ/kg, BTU/scf, kJ/Nm3, BTU/gal, kJ/liter), fuel costs ($/MT, $/kg, $/bbl, $/liter, $/MMBTU, $/GJ) in order to arrive at its levelized price and levelized generation cost of energy. The benefits and risks of each technology is also presented. I encourage the reader to follow this series.
A complete power point presentation may also be obtained from this link to complement this article. More »