This document discusses Indonesia's biomass energy potential and utilization. It notes that Indonesia faces high population growth and increasing food and energy demands, which are exacerbating depletion of fossil fuel resources. To address this, the document proposes further developing alternative energies like biomass. It provides statistics on Indonesia's population trends and projections. It also outlines Indonesia's legal framework for biomass energy and estimates biomass potential from various resources such as palm oil, sugar cane, and municipal waste. Overall, the document analyzes Indonesia's need to utilize biomass energy more extensively to meet its future population's needs in a sustainable manner.
The document shows a table with interest compounding factors over 31 periods for interest rates ranging from 1% to 15%. The table allows users to look up the factor that accounts for interest compounding over a given number of periods at a particular interest rate. Factors increase as the interest rate or number of periods increase, showing how savings grow faster with higher rates or longer investment timelines with compound interest.
This document contains a table showing future value factors for uniform series of posticipated payments at interest rates ranging from 1% to 15% per period over periods of 1 to 33. The future value factor, denoted Sn,i, is calculated as [(1+i)^n] - 1)/i, where n is the number of periods and i is the interest rate per period.
The document shows a table with interest compounding factors over time for interest rates ranging from 1% to 15% annually. The table has the factors for time periods from 1 to 31 years across columns for the different interest rates. The factors show how much an initial investment will grow to over time with compound interest at the given annual rates.
The document contains tables with factors for compound interest accumulation and present value of uniform series in postponed payments. The compound interest accumulation table shows the factor, which is (1+i)^n, for interest rates from 1% to 15% and periods from 1 to 40 years. The uniform series present value table shows the factor, an,i, for calculating present value of uniform series payments with interest rates from 1% and periods from 1 to 40 years.
This document contains a table with factors for present value calculations of uniform series payments. The table shows factors for annual interest rates ranging from 1% to 15% and for periods of 1 to 32 years. The factors allow calculating the present value of a stream of equal annual payments over a specified term using the interest rate.
Matemática financeira 6 tabelas financeiras de alto nível - by prof. shibat...prof. Renan Viana
This document contains two tables. The first table shows the number of days in each month for a standard 365 day year and a leap (366 day) year. The second table contains factors used to calculate compound interest over different periods of time at varying annual interest rates.
Current State and Prospects of Bioenergy Development in UkraineGeorgii Geletukha
Presentation of Head of the Board of the Bioenergy Association of Ukraine Georgii Geletukha at the International Conference "BIOMASS FOR ENERGY 2018".
Find out more about Conference here: www.UABioConf.org/en
Find more bioenergy news on the Bioenergy Association of Ukraine website: http://uabio.org/en/
Through the prism of sustainability and energy saving, this session will focus on the key attributes of "Variable lighting levels for highways & public realm areas". Previous and current guidelines of the dimming strategies will be presented and discussed through the award-winner case study "Variable Lighting Levels for Highways – A different approach".
Having won the “Young Lighter of the Year 2016” and the “Best written paper” awards by the Society of Light and Lighting (CIBSE SLL), this paper presents an approach towards energy savings in the context of highways and public realm lighting. The session aims to present the current state-of-the-art through the perspective of a young professional, discussing also several key matters and concerns one can encounter during the early career stages.
Talk by Sofia Tolia MSc MEng, Ringway Jacobs
The document shows a table with interest compounding factors over 31 periods for interest rates ranging from 1% to 15%. The table allows users to look up the factor that accounts for interest compounding over a given number of periods at a particular interest rate. Factors increase as the interest rate or number of periods increase, showing how savings grow faster with higher rates or longer investment timelines with compound interest.
This document contains a table showing future value factors for uniform series of posticipated payments at interest rates ranging from 1% to 15% per period over periods of 1 to 33. The future value factor, denoted Sn,i, is calculated as [(1+i)^n] - 1)/i, where n is the number of periods and i is the interest rate per period.
The document shows a table with interest compounding factors over time for interest rates ranging from 1% to 15% annually. The table has the factors for time periods from 1 to 31 years across columns for the different interest rates. The factors show how much an initial investment will grow to over time with compound interest at the given annual rates.
The document contains tables with factors for compound interest accumulation and present value of uniform series in postponed payments. The compound interest accumulation table shows the factor, which is (1+i)^n, for interest rates from 1% to 15% and periods from 1 to 40 years. The uniform series present value table shows the factor, an,i, for calculating present value of uniform series payments with interest rates from 1% and periods from 1 to 40 years.
This document contains a table with factors for present value calculations of uniform series payments. The table shows factors for annual interest rates ranging from 1% to 15% and for periods of 1 to 32 years. The factors allow calculating the present value of a stream of equal annual payments over a specified term using the interest rate.
Matemática financeira 6 tabelas financeiras de alto nível - by prof. shibat...prof. Renan Viana
This document contains two tables. The first table shows the number of days in each month for a standard 365 day year and a leap (366 day) year. The second table contains factors used to calculate compound interest over different periods of time at varying annual interest rates.
Current State and Prospects of Bioenergy Development in UkraineGeorgii Geletukha
Presentation of Head of the Board of the Bioenergy Association of Ukraine Georgii Geletukha at the International Conference "BIOMASS FOR ENERGY 2018".
Find out more about Conference here: www.UABioConf.org/en
Find more bioenergy news on the Bioenergy Association of Ukraine website: http://uabio.org/en/
Through the prism of sustainability and energy saving, this session will focus on the key attributes of "Variable lighting levels for highways & public realm areas". Previous and current guidelines of the dimming strategies will be presented and discussed through the award-winner case study "Variable Lighting Levels for Highways – A different approach".
Having won the “Young Lighter of the Year 2016” and the “Best written paper” awards by the Society of Light and Lighting (CIBSE SLL), this paper presents an approach towards energy savings in the context of highways and public realm lighting. The session aims to present the current state-of-the-art through the perspective of a young professional, discussing also several key matters and concerns one can encounter during the early career stages.
Talk by Sofia Tolia MSc MEng, Ringway Jacobs
This document contains three tables related to finance mathematics:
1. Table I shows the accumulation factor of capital for interest rates ranging from 1% to 18% compounded annually over periods of 1 to 18 years.
2. Table II shows the present value factor of a series of payments for the same range of interest rates and time periods.
3. Table III shows the accumulation factor of capital for a series of payments with interest rates from 1% to 18% over periods of 1 to 13 years.
Numerical and Statistical Quantifications of Biodiversity: Two-At-A-Time Equa...IJAEMSJORNAL
The ecological concept of biodiversity is a challenging environmental problem that requires a sound mathematical reasoning. We have used the method of a numerical simulation that is indexed by a numerical scheme to predict biodiversity loss and biodiversity gain due to a decreasing and increasing variations of the intrinsic growth rates together. The novel results that we have obtained that we have not seen elsewhere, but do complement other similar numerical predictions of biodiversity are presented and discussed quantitatively.
Tablas Financieras de Factor Valor Actual y Valor Futuro Anualidades y Cantid...emperatrizazul
The document contains a table showing the actual value of an annuity for different interest rates from 1% to 10% compounded annually over periods of 1 to 20 years. The table provides the formula to calculate the actual value of an annuity as (1 - (1 + i)-n) / i, where i is the interest rate and n is the number of years. It lists the actual value for varying interest rates and time periods.
Laporan 1 Sistem dan Signal (DFT Ms. Excel)Bayu Nurcahyo
Menganalisis gelombang suara manusia dengan merekam suara bernada diatonis pada Software Spectraplus V5.0. lalu mencari persamaan gelombang dengan bantuan pengolahan data Ms. Excel
The document shows value added by industry in the US from 2008 to 2014. It indicates that gross domestic product grew from $14,718.6 billion in 2008 to $17,348.1 billion in 2014, with private industries accounting for most value added each year. Manufacturing value added increased from $1,814.1 billion in 2008 to $2,097.7 billion in 2014, with durable goods industries like computer and electronic products, machinery, and motor vehicles contributing the most growth. The finance, insurance, real estate, rental and leasing industry saw the largest value added each year, growing from $2,804.5 billion in 2008 to $3,295.5 billion in 2013.
The document appears to contain numerical data in a table format with percentages listed across the top and increasing whole numbers down the left side. The interior of the table contains increasing decimal values with up to 4 decimal places.
This document contains statistics comparing Catalonia, Spain, and the European Union (EU-28) across several socioeconomic indicators for the years 2009-2014. Some key figures shown include:
- Catalonia's 2013 employment rate for ages 20-64 was 63.9% compared to 58.6% for Spain and 68.4% for the EU.
- Gross domestic expenditure on R&D relative to GDP in 2012 was 1.51% for Catalonia, 1.27% for Spain, and 2.01% for the EU.
- Greenhouse gas emissions in 2012 were at an index of 118.0 for Catalonia, 122.5 for Spain, and 82.1 for the EU based
1) The document discusses the importance of information and statistics in humanitarian emergency response. It outlines the disaster management cycle and emphasizes the role of information management at each stage.
2) Community baseline data is presented for various localities in Khyber Pakhtunkhwa province, including population statistics from 1981-1998.
3) National statistical offices can support emergency response by being engaged in contingency planning, providing technical support to responders, and encouraging data sharing and quality management of information.
The document discusses the importance of statistics and information management in humanitarian emergency response. It notes that statistics are central to justifying budgets and programs that help victims of natural disasters. The disaster management cycle of prepare, respond, recover, and rebuild is shown. National statistical offices can help by maintaining community baseline data, being prepared with geographic data standards, and being engaged in contingency planning and response by providing technical support and sharing data with responders.
This document discusses climate change mitigation potential from USDA Natural Resources Conservation Service (NRCS) conservation practices on working lands. It provides background on climate change and agriculture's role. It then presents data on greenhouse gas reductions and carbon sequestration from various NRCS conservation practices implemented over time, such as conservation tillage, cover crops, and prescribed grazing. Finally, it notes the total estimated mitigation contribution from NRCS practices is between 100.4 to 113.6 million metric tons of carbon dioxide equivalent annually.
- The document provides a table summarizing key support and resistance levels for various stocks and indices based on futures open interest and price changes as of July 8, 2013.
- It lists stock futures, their underlying, lot size, open interest, change in open interest, and percentage changes in open interest and closing price.
- Support and resistance levels are provided for each stock future to indicate possible price points where buying or selling pressure may increase.
- The table is from Mansukh Securities and Finance Ltd and is intended for private circulation only to their clients.
This document provides unemployment data for the province of Jaén in Spain for July 2020. Some key details include:
- The registered unemployment in Jaén was 60,600 in July 2020, a decrease of 1,832 people (-2.93%) from the previous month.
- By gender, 25,045 of the unemployed were men (41%) and 35,555 were women (59%). The majority of unemployed, 53,864 people, were between 25-64 years old.
- The largest sectors for unemployment were services with 34,258 unemployed and agriculture with 12,833 unemployed.
The document summarizes India's energy sector, including various energy sources and their use. It discusses conventional energy sources like coal, lignite, crude oil, and natural gas. It also covers non-conventional renewable sources such as hydroelectric, wind, solar and nuclear power. Thermal power currently contributes the most to India's energy at around 75% of supply. While per capita energy consumption is increasing, it remains one of the lowest in the world.
The document shows material conditions for agricultural production in China from 2000 to 2017, including total agricultural machinery power, numbers of large/small tractors, rural electricity consumed, irrigated areas, amounts of chemical/complex fertilizers, thin-film and diesel used for farms, and farm pesticides applied each year. All values generally increased over time, with the largest increases in total agricultural machinery power, rural electricity consumed, irrigated areas, and amounts of fertilizers and pesticides used.
1) The document is a daily report on key support and resistance levels for futures and options contracts of various stocks trading on Indian exchanges.
2) It provides data like open interest, change in open interest, support and resistance levels for different stocks.
3) The report is intended for private circulation only among clients of the publishing company.
The document provides specifications and performance calculations for a BMW 740li vehicle. It includes:
1) Engine specifications such as displacement, power, torque, and transmission gear ratios.
2) Chassis dimensions for the vehicle such as wheelbase, track, length, width, height, and weight.
3) Calculations of forces, resistance, acceleration, velocity, and brake power at different engine speeds and gear ratios.
4) Graphs showing the relationships between acceleration vs velocity, force vs velocity, torque vs engine speed, and brake power vs engine speed.
5) The performance of the vehicle is analyzed based on the graphs, concluding it can reach 100km/hr in 6-
This document provides a summary of key support and resistance levels for various stocks and indices based on their futures trading on June 10, 2013. It lists the underlying, open interest, change in open interest, percentage change in open interest, percentage change in closing price, support levels, resistance levels, and closing price for each stock future contract expiring on June 27, 2013. The document is from Mansukh Securities and Finance Ltd and includes important disclosures at the end.
1) The document provides key support and resistance levels for various stocks and indexes in the futures and options market as of May 28, 2013.
2) It lists the open interest, change in open interest, and change in closing price for various stocks trading on Indian exchanges such as NSE and BSE.
3) Support and resistance levels are given to analyze where prices may pause their upward or downward movement in the short term.
1) This document provides a stock analysis for various companies listing key support and resistance levels as well as changes in open interest and closing prices for futures contracts expiring on August 29th, 2013.
2) It was published by Mansukh Securities and Finance Ltd on August 27th, 2013 and includes disclosure statements at the end.
3) The analysis contains information on over 50 stocks traded on Indian exchanges such as NIFTY, BANKNIFTY, and individual companies.
This document provides a key support and resistance levels for various stocks and indexes in the futures and options market as of July 23, 2013. It lists the open interest, change in open interest, support and resistance levels for 50 stocks, along with the Nifty 50 and Bank Nifty indexes. The expiry date for the futures contracts is July 25, 2013. It is a daily technical report from Mansukh Securities and Finance Ltd to their clients.
- The document is a daily report on key support and resistance levels for futures contracts of various stocks trading on Indian exchanges. It provides data like open interest, change in open interest, support and resistance levels for different stocks.
- The report is from Mansukh Securities and Finance Ltd and contains technical analysis information for traders. It examines factors like open interest, price changes and support and resistance levels for futures contracts expiring on September 26th, 2013.
- Data is provided on over 50 stocks trading in futures markets along with analysis to help traders identify entry and exit points for long and short positions.
Te dhena statistikore dhe analiza e tyre.Arsi Gest
This document contains population statistics for Kosovo from 2012 to 2015, divided into age groups for males and females in both urban and rural areas. The urban population increased slightly from 1,575,566 in 2012 to 1,654,797 in 2015. The rural population decreased slightly from 1,326,624 in 2012 to 1,238,208 in 2015. Overall the total population of Kosovo decreased slightly from 2,902,190 in 2012 to 2,893,005 in 2015. Tables and charts are provided to show the population numbers for each age group and year.
This document contains three tables related to finance mathematics:
1. Table I shows the accumulation factor of capital for interest rates ranging from 1% to 18% compounded annually over periods of 1 to 18 years.
2. Table II shows the present value factor of a series of payments for the same range of interest rates and time periods.
3. Table III shows the accumulation factor of capital for a series of payments with interest rates from 1% to 18% over periods of 1 to 13 years.
Numerical and Statistical Quantifications of Biodiversity: Two-At-A-Time Equa...IJAEMSJORNAL
The ecological concept of biodiversity is a challenging environmental problem that requires a sound mathematical reasoning. We have used the method of a numerical simulation that is indexed by a numerical scheme to predict biodiversity loss and biodiversity gain due to a decreasing and increasing variations of the intrinsic growth rates together. The novel results that we have obtained that we have not seen elsewhere, but do complement other similar numerical predictions of biodiversity are presented and discussed quantitatively.
Tablas Financieras de Factor Valor Actual y Valor Futuro Anualidades y Cantid...emperatrizazul
The document contains a table showing the actual value of an annuity for different interest rates from 1% to 10% compounded annually over periods of 1 to 20 years. The table provides the formula to calculate the actual value of an annuity as (1 - (1 + i)-n) / i, where i is the interest rate and n is the number of years. It lists the actual value for varying interest rates and time periods.
Laporan 1 Sistem dan Signal (DFT Ms. Excel)Bayu Nurcahyo
Menganalisis gelombang suara manusia dengan merekam suara bernada diatonis pada Software Spectraplus V5.0. lalu mencari persamaan gelombang dengan bantuan pengolahan data Ms. Excel
The document shows value added by industry in the US from 2008 to 2014. It indicates that gross domestic product grew from $14,718.6 billion in 2008 to $17,348.1 billion in 2014, with private industries accounting for most value added each year. Manufacturing value added increased from $1,814.1 billion in 2008 to $2,097.7 billion in 2014, with durable goods industries like computer and electronic products, machinery, and motor vehicles contributing the most growth. The finance, insurance, real estate, rental and leasing industry saw the largest value added each year, growing from $2,804.5 billion in 2008 to $3,295.5 billion in 2013.
The document appears to contain numerical data in a table format with percentages listed across the top and increasing whole numbers down the left side. The interior of the table contains increasing decimal values with up to 4 decimal places.
This document contains statistics comparing Catalonia, Spain, and the European Union (EU-28) across several socioeconomic indicators for the years 2009-2014. Some key figures shown include:
- Catalonia's 2013 employment rate for ages 20-64 was 63.9% compared to 58.6% for Spain and 68.4% for the EU.
- Gross domestic expenditure on R&D relative to GDP in 2012 was 1.51% for Catalonia, 1.27% for Spain, and 2.01% for the EU.
- Greenhouse gas emissions in 2012 were at an index of 118.0 for Catalonia, 122.5 for Spain, and 82.1 for the EU based
1) The document discusses the importance of information and statistics in humanitarian emergency response. It outlines the disaster management cycle and emphasizes the role of information management at each stage.
2) Community baseline data is presented for various localities in Khyber Pakhtunkhwa province, including population statistics from 1981-1998.
3) National statistical offices can support emergency response by being engaged in contingency planning, providing technical support to responders, and encouraging data sharing and quality management of information.
The document discusses the importance of statistics and information management in humanitarian emergency response. It notes that statistics are central to justifying budgets and programs that help victims of natural disasters. The disaster management cycle of prepare, respond, recover, and rebuild is shown. National statistical offices can help by maintaining community baseline data, being prepared with geographic data standards, and being engaged in contingency planning and response by providing technical support and sharing data with responders.
This document discusses climate change mitigation potential from USDA Natural Resources Conservation Service (NRCS) conservation practices on working lands. It provides background on climate change and agriculture's role. It then presents data on greenhouse gas reductions and carbon sequestration from various NRCS conservation practices implemented over time, such as conservation tillage, cover crops, and prescribed grazing. Finally, it notes the total estimated mitigation contribution from NRCS practices is between 100.4 to 113.6 million metric tons of carbon dioxide equivalent annually.
- The document provides a table summarizing key support and resistance levels for various stocks and indices based on futures open interest and price changes as of July 8, 2013.
- It lists stock futures, their underlying, lot size, open interest, change in open interest, and percentage changes in open interest and closing price.
- Support and resistance levels are provided for each stock future to indicate possible price points where buying or selling pressure may increase.
- The table is from Mansukh Securities and Finance Ltd and is intended for private circulation only to their clients.
This document provides unemployment data for the province of Jaén in Spain for July 2020. Some key details include:
- The registered unemployment in Jaén was 60,600 in July 2020, a decrease of 1,832 people (-2.93%) from the previous month.
- By gender, 25,045 of the unemployed were men (41%) and 35,555 were women (59%). The majority of unemployed, 53,864 people, were between 25-64 years old.
- The largest sectors for unemployment were services with 34,258 unemployed and agriculture with 12,833 unemployed.
The document summarizes India's energy sector, including various energy sources and their use. It discusses conventional energy sources like coal, lignite, crude oil, and natural gas. It also covers non-conventional renewable sources such as hydroelectric, wind, solar and nuclear power. Thermal power currently contributes the most to India's energy at around 75% of supply. While per capita energy consumption is increasing, it remains one of the lowest in the world.
The document shows material conditions for agricultural production in China from 2000 to 2017, including total agricultural machinery power, numbers of large/small tractors, rural electricity consumed, irrigated areas, amounts of chemical/complex fertilizers, thin-film and diesel used for farms, and farm pesticides applied each year. All values generally increased over time, with the largest increases in total agricultural machinery power, rural electricity consumed, irrigated areas, and amounts of fertilizers and pesticides used.
1) The document is a daily report on key support and resistance levels for futures and options contracts of various stocks trading on Indian exchanges.
2) It provides data like open interest, change in open interest, support and resistance levels for different stocks.
3) The report is intended for private circulation only among clients of the publishing company.
The document provides specifications and performance calculations for a BMW 740li vehicle. It includes:
1) Engine specifications such as displacement, power, torque, and transmission gear ratios.
2) Chassis dimensions for the vehicle such as wheelbase, track, length, width, height, and weight.
3) Calculations of forces, resistance, acceleration, velocity, and brake power at different engine speeds and gear ratios.
4) Graphs showing the relationships between acceleration vs velocity, force vs velocity, torque vs engine speed, and brake power vs engine speed.
5) The performance of the vehicle is analyzed based on the graphs, concluding it can reach 100km/hr in 6-
This document provides a summary of key support and resistance levels for various stocks and indices based on their futures trading on June 10, 2013. It lists the underlying, open interest, change in open interest, percentage change in open interest, percentage change in closing price, support levels, resistance levels, and closing price for each stock future contract expiring on June 27, 2013. The document is from Mansukh Securities and Finance Ltd and includes important disclosures at the end.
1) The document provides key support and resistance levels for various stocks and indexes in the futures and options market as of May 28, 2013.
2) It lists the open interest, change in open interest, and change in closing price for various stocks trading on Indian exchanges such as NSE and BSE.
3) Support and resistance levels are given to analyze where prices may pause their upward or downward movement in the short term.
1) This document provides a stock analysis for various companies listing key support and resistance levels as well as changes in open interest and closing prices for futures contracts expiring on August 29th, 2013.
2) It was published by Mansukh Securities and Finance Ltd on August 27th, 2013 and includes disclosure statements at the end.
3) The analysis contains information on over 50 stocks traded on Indian exchanges such as NIFTY, BANKNIFTY, and individual companies.
This document provides a key support and resistance levels for various stocks and indexes in the futures and options market as of July 23, 2013. It lists the open interest, change in open interest, support and resistance levels for 50 stocks, along with the Nifty 50 and Bank Nifty indexes. The expiry date for the futures contracts is July 25, 2013. It is a daily technical report from Mansukh Securities and Finance Ltd to their clients.
- The document is a daily report on key support and resistance levels for futures contracts of various stocks trading on Indian exchanges. It provides data like open interest, change in open interest, support and resistance levels for different stocks.
- The report is from Mansukh Securities and Finance Ltd and contains technical analysis information for traders. It examines factors like open interest, price changes and support and resistance levels for futures contracts expiring on September 26th, 2013.
- Data is provided on over 50 stocks trading in futures markets along with analysis to help traders identify entry and exit points for long and short positions.
Te dhena statistikore dhe analiza e tyre.Arsi Gest
This document contains population statistics for Kosovo from 2012 to 2015, divided into age groups for males and females in both urban and rural areas. The urban population increased slightly from 1,575,566 in 2012 to 1,654,797 in 2015. The rural population decreased slightly from 1,326,624 in 2012 to 1,238,208 in 2015. Overall the total population of Kosovo decreased slightly from 2,902,190 in 2012 to 2,893,005 in 2015. Tables and charts are provided to show the population numbers for each age group and year.
The document discusses forest fires that occurred in Portugal, particularly in the municipality of Lamego, between 1995 and 2009. It notes that 2003 and 2005 saw catastrophic fires that greatly increased the burnt area. It then outlines measures taken to reduce fires, such as forming a team of forest sappers to conduct preventative clearing and surveillance, and increasing awareness campaigns. Reforestation of burnt areas has also helped to recover land and maintain native species in the municipality.
This document contains tables of compound interest factors for interest rates of 0.25% and 0.5% compounded annually over various time periods from 1 to 480 years. The tables show the compound amount, present worth, sinking fund, capital recovery, uniform series, and gradient factors for single payments, arithmetic gradients, and present worth calculations.
This document provides a summary of key support and resistance levels for various stocks and indexes in the futures and options market as of July 2, 2013. It notes the open interest, changes in open interest, and closing prices for various stocks. It also lists support and resistance price levels that could be important for traders to watch. The expiry date for the current futures and options contracts is listed as July 25, 2013.
This document provides key support and resistance levels for various stocks and indexes in the futures and options market as of May 8, 2013. It lists the underlying asset, open interest, change in open interest, and support and resistance price levels for each. The expiry date listed is May 30, 2013. It also provides company details and disclosures at the end.
1. The document provides daily COVID-19 case data and hospital capacity data for Indonesia as of August 8, 2021. It shows the number of new daily cases over the past week ranged from 26,415 to 39,532.
2. Hospital bed capacity and usage is shown for each province. The national ICU bed availability is 11,509, isolation bed availability is 119,283, and total beds used is 68,266.
3. A graph shows the total number of COVID-19 patients in hospitals in Indonesia has been decreasing recently, going from over 84,000 to around 68,000 as of August 8, 2021.
Similar to Overview Peluang Usaha Biomassa_rev2 (20)
3. Problems
• Depletion of source of energies derived
from fossil fuel
• Alternative energy is still not
considered to be a pressing matter
• Development of alternative energy face
impediment such as lack of capital,
technologies and human resources
9. Value of Oil and Gas Export1 and Import2
(million US$), 1999-2013
Years
Crude Oil Processed Gas
Export Import Export Import Export Import
1996 5711,80 1518,90 1516,10 2076,10 4493,90 0,50
1997 5480,00 1467,00 1302,50 2443,30 4840,10 13,80
1998 3348,60 1058,30 708,10 1574,90 3815,50 20,50
1999 4517,30 1587,70 918,00 2088,00 4357,00 5,40
2000 6090,10 2524,90 1651,60 3491,10 6624,90 3,50
2001 5714,70 2887,50 1189,50 2574,20 5732,20 10,10
2002 5227,60 3216,90 1307,50 3308,70 5577,60 0,20
2003 5621,00 4027,40 1553,70 3562,00 6476,70 21,50
2004 6241,40 5831,40 1654,40 5892,10 7749,60 8,50
2005 8145,80 6797,00 1932,00 10645,80 9153,70 14,90
2006 8168,80 7852,60 2843,60 11080,30 10197,10 30,00
2007 9226,00 9056,90 2878,80 12786,70 9983,80 89,20
2008 12418,70 10061,50 3547,00 20230,80 13160,50 260,60
2009 7820,30 7362,20 2262,30 11129,40 8935,70 489,10
2010 10402,90 8531,30 3967,30 18018,20 13669,40 863,20
2011 13828,70 11154,40 4776,80 28134,60 22871,50 1412,50
2012 12293,40 10803,20 4163,40 28679,40 20520,50 3081,60
2013 10204,70 13585,80 4299,10 28567,60 18129,20 3113,00
Notes:
1) Export value is the Free on Board (FOB) value
2) Import value is the value Cost, Insurance and Freight (CIF)
Data tahun 1999-2007 menggunakan Sistem Perdagangan Khusus (di Luar Kawasan Berikat)
[Diolah dari dokumen kepabeanan Ditjen Bea dan Cukai (PEB dan PIB)]
10. In 2007 India is implementing
one of the world’s largest
programmes in renewable
energy. The country ranks
second in the world for
biogas utilization and fifth in
fifth in wind power. (The
Biopact, Belgium 2007)
Comparison to India
11. The biomass potential
from 20 million hectares
waste-land is estimated
around 45,000 MW.
The current assumption is
that these lands will be
yielding around 10 tonnes
woody biomass per
year, with an average
heating value of 16.75MJ
kilogram, which can be
converted in biomass
plants with an efficiency
around 30%.
Comparison to India
1
2
12. With the establishment
of new sugar mills and
modernization of
ones, the technically
potential for bagasse
cogeneration is
be around 5000 MW.
Another 16,900 MW can
be obtained from
and plantation residues.
Comparison to India
3
4
13.
14. “Indonesian crude oil deposit currently is up
to 3,7 trillion barrels. In the next 11 years
it is going to run up,
17. LEGAL BASE OF UTILIZATIONAND MANAGEMENT OF
BIOMASS ENERGY IN INDONESIA
1. UNDANG-UNDANG
No.19/2008
Waste Management Act
2. PERMEN ESDM no. 19/2013
19/2013
Purchasing of electricity by PLN from Urban
waste base power plan
3. PERMEN (ESDM) no. 27/2014
18. LEGAL BASE OF UTILIZATIONAND MANAGEMENT OF
BIOMASS ENERGY IN INDONESIA
4. KEPMEN (ESDM) no. 0074
K/21/MEM/2015
Ratification of Energy Provision Business Plan
Business Plan of PT Perusahaan Listrik Negara
(Persero) 2015-2024.
5. BOARD OF DIRECTOR
RESOLUTION PT PLN
(PERSERO) no. 0982K/DIR/2015
19. Sumber: Direktorat Jenderal Energi BaruTerbarukan & Konservasi Energi, Kementrian ESDM, 2014
No. Potensi Umum (Mwe) Unit Sumatera Kalimantan Jawa-Bali-Madura NusaTenggara Sulawesi Maluku Papua TOTAL
1 Kelapa Sawit MWe 8812 3384 60 N/A 323 N/A 75 12.654
2 Tebu MWe 399 N/A 896 N/A N/A N/A N/A 1.295
3 Karet MWe 1918 862 854 N/A 42 N/A N/A 3.676
4 Kelapa/Padi MWe 53 10 37 7 N/A 19 14 140
5 Jagung MWe 2255 642 5353 405 38 22 20 8735
6 Ubi Kayu MWe 408 30 954 85 1111 4 1 2593
7 Kayu MWe 110 7 120 18 251 2 1 509
8 Sapi MWe 1212 44 14 19 12 4 21 1326
9 Sampah Kota MWe 96 16 296 53 21 5 4 491
10 Umum MWe 326 66 1527 48 6574 11 14 8566
11 TOTAL MWe 15589 5061 10111 635 8372 67 150 39.985
Potency of electricity
generated by industrial based solid waste
22. Sold Electricity by PLN by Operating Regions
(in thousands MWh), 2008-2013
Operating Region 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 x
Wilayah Aceh 507 512 495 578 701 699 839 997,36 1149,7 1276,45 1494,94 1579,77 1755,07 1847,5
Wilayah Sumatera Utara 3646 3812 3844 4150 4440 4613 4941 5163,44 5757,85 6096,9 6636,45 7194,04 7809,32 8220,8
Wilayah Sumatera Barat 2182 2396 2530 2607 2882 3136 3414 1776,37 1940,01 2006,52 2187,29 2403,09 2649,07 2788,6
Wilayah Riau 1864,24 2028,83 2183,43 2509,89 2844,55 3269,62 3441,9
Wilayah Sumatera Selatan, Jambi dan
Bengkulu
2673 2989 3097 2610 3576 4005 4421 2925,3 3291,63 3637,06 4154,92 4506,14 5262,26 5539,5
Wilayah Bangka Belitung 331,4 366,19 398,76 436,76 535,61 664,73 699,76
Wilayah Lampung 1634,58 1902,3 2024,03 2259,45 2425,94 2793,36 2940,5
Wilayah Kalimantan Barat 631 670 703 745 801 842 883 946,55 1069,81 1155,65 1288,97 1434,71 1603,72 1768,2
Wilayah Kalimantan Selatan dan
Tengah
1982 2065 2121 2262 2577 2759 2921 1538,39 1623,98 1768,88 1902,01 2117,09 2440,79 2691,2
Wilayah Kalimantan Timur 1435,71 1546,51 1720,96 1939,97 2099,6 2334,31 2573,8
Wilayah Sulawesi Utara, Sulawesi
Gorontalo
718 803 828 844 952 1020 1099 1161,82 1273,71 1420,11 1571,29 1797,86 2066,37 2278,3
Wilayah Sulawesi Selatan, Sulawesi
dan Sulawesi Barat
1633 1831 1867 1997 2155 1194 2468 2768,8 2944,02 3167,4 3505,5 3839,02 4345,67 4791,5
Wilayah Maluku dan Maluku Utara 130 186 202 212 270 311 341 388,22 402,57 422,95 462,6 541,36 633,38 698,36
Wilayah Papua 289 313 332 365 397 430 479 532,05 593,34 661,44 745,45 827,88 947,33 1044,5
Distribusi Bali 1936 2170 2195 2269 2540 2805 2913 2375,02 2551,1 2788,65 3090,93 3223,95 3546,6 3787,4
Wilayah Nusa Tenggara Barat 571,06 621,78 688,91 745,15 837,16 976,39 1076,5
Wilayah Nusa tenggara Timur 314,41 338,56 382,71 429,37 486,91 567,39 625,6
PT PLN Batam 412 490 569 656 715 823 973 1106,08 1234,62 1296,41 1452,92 1526,89 1644,22 1730,8
PT PLN Tarakan 167,54 159,05 165,71 176,91 177,62 168,03 185,27
Distribusi Jawa Timur 13135 13941 14286 14361 16421 17732 18323 19467,4 20334,1 21058,1 22469,5 24018,6 26910,1 28737,
Distribusi Jawa Tengah dan Yogyakarta 8708 8888 9882 9908 10843 11853 12416 13505,0 14232,4 15084,1 16202,9 17185,6 18644,1 19910,
Distribusi Jawa Barat dan Banten 22070 23614 24641 24590 27198 28888 30298 32337,0 34050,9 34789,0 38671,2 41327,7 44790,1 47831,
Distribusi Jakarta Raya dan Tangerang 18518 19819 19496 21662 23358 24823 25881 27938,9 29605,6 30387,6 32965,9 35061,3 38168,7 40760,
Jumlah 79170 84499 87088 89816 99826 105933 112609
121246,8
4
129018,8
5
134581,9
9
147300,4
9
157992,6
7
173990,8
5
185970,
04
Note: x Temporary number
Highlighted cells: Before 2006, some of the operating regions still under the other operating regions. The highlighted cell is part of the upper region.
24. No Company Name COD Contract Type Location Region Biomassa Type Contract
(MW)
1 PT Riau Prima Energy 2001 Excess power Riau PLN Riau Region Palm waste 5
2 PT Listrindo Kencana 2006 IPP Bangka PLN Bangka Region Palm waste 5
3 PT Growth Sumatra 1 2006 Excess power Sumatera Utara PLN N. Sumatra Region Palm waste 6
4 PT Indah Kiat Pulp and Paper 2006 Excess power Riau PLN Riau Region Palm waste 2
7 PT Belitung Energy 2010 IPP Belitung PLN Babel Region Palm waste 7
8 PT Growth Sumatra 2 2010 Excess power Sumatera Utara PLN N. Sumatra Region Palm waste 9
9 PT Pelita Agung 2010 Excess power Riau PLN Riau Region Palm waste 5
10 Permata Hijau Sawit 2010 Excess power Riau PLN Riau Region Palm waste 2
11 PT Navigat Organic 2011 IPP Bali PLN Bali District MSW 2
12 PT Navigat Organic 2011 IPP Bekas PLN West Java District MSW 6
13 PT Growth Asia 2011 Excess power Sumatera Utara PLN N. Sumatra Region Palm waste 10
14 PT Growth Asia 2012 Excess power Sumatera Utara PLN N. Sumatra Region Palm waste 10
15 PT Navigat Organic 2012 IPP Bekasi PLN West Java Region MSW 6,5
16 Harkat Sejahtera 2013 Excess power Sumatera Utara PLN N. Sumatera Region Palm waste 1
17 Penambahan kap. GS1 2013 Excess power Sumatera Utara PLN N. Sumatera Region Palm waste 4
18 Rimba Palma 2013 Excess power Jambi PLN SBS Region Palm waste 10
ON-GRID CAPACITY TOTAL 90,5
INSTALLED ON-GRID
BIOMASS, BIOGAS, CITY WASTE
POWER PLANT CAPACITY UP TO 2013
Installed off-grid biomass, biogas, city waste capacity up to 2013 is 1.626 MW
25. DEVELOPED BIOENERGY POWER PLANT UP TO 2013
Region and Source of Biomass
2013 Bioenergy Power
Plant Capacity
Bioenergy Power Plant
Cumulative Capacity up to
2013
Off-Grid
(MW)
On-Grid
(MW) Off-Grid (MW)
On-Grid
(MW)
Biogas Power Plant 2 N/A 10 N/A
Biomass Power Plant 20 15 1.616 76,0
City Waste Power Plant N/A 2 N/A 14,5
TOTAL 1.626 1.626 90,5
26. Region and Source of Biomass
Capacity Capacity
Total
Off-Grid (Mw) On-Grid (Mw)
Sumatera
Palm Oil Industry 335 76 411
POME 9 N/A 9
Sugar Cane Industry 66 N/A 66
Polp Industry 955 N/A 955
Kalimantan Palm Oil Industry 91 N/A 91
Jawa-Bali
Palm Oil Industry 2 N/A 2
POME 142 N/A 142
Sugar Cane Industry N/A 14,5 14,5
Pulp Industry N/A N/A N/A
Sulawesi
Palm Oil Industry 11 N/A 11
Sugar Cane Industry 11 N/A 11
Papua Palm Oil Industry 4 N/A 4
TOTAL 1.626 90,5 1717
Sumber: Direktorat Jendral Energi BaruTerbarukan & Konservasi Energi, Kementrian ESDM, 2014
The development of
biomass power plant by regions
up to 2013
27. City Waste Potential VS Power Plant Capacity
City Waste Potential (TON/DAY)
City Waste Power Plant Potential (MW)
TOTAL CITY WASTE POWER
PLANT POTENCY (MW) = 1.879,50
MW
28. No Energy Capacity Feed in Tariff Note
Middle Wattage
1 Biomass Up to 10 MW Rp1.150/kWh x F
2 Biogas Up to 10 MW Rp1.050/kWh x F Non city waste
3 City Waste (MSW) Up to 10 MW Rp1.450/kWh Zero waste
4 City Waste (MSW) Up to 10 MW Rp1.250/kWh Landfill
Low Wattage
1 Biomass Up to 10 MW Rp1.500/kWh x F
2 Biogas Up to 10 MW Rp1.400/kWh x F Non city waste
3 City Waste (MSW) Up to 10 MW Rp1.798/kWh Zero waste
4 City Waste (MSW) Up to 10 MW Rp1.598/kWh Landfill
Biomass, biogas and city waste feed in Tarriff (Permen ESDM No. 27/2014 and No. 19/2013)
For feed in tariff from biomass and biogas F factor, which is incentive factor, apply and decided as follows:
a. Java Island
b. Sumatera Island
c. Sulawesi Island
d. Kalimantan Island
e. Bali, Bangka Belitung and Lombok Island
f. Riau, Papua dan Other Islands
Note: *In accordance to UU No. 18/2008 on Waste Management
FEED-IN TARRIFF ACCORDING TO PERMEN ESDM NO. 2/2014 AND PERMEN ESDM NO. 19/2013
29. In 2014, the capacity of the already
installed on-grid bioenergy power
plant is 91,9 MW and the already
installed off-grid bioenergy power
plant capacity is 1.626 MW.The
bioenergy consists of biomass,
biogas, city waste.
The 2015-2016 development plan is
as follows:
• 86 MW on-grid bioenergy power
power plant built on 2015.
• 16 MW on-grid bioenergy power
power plant built on 2016.
30. PROCEDURE AND GUIDELINES FOR
INVESTMENT
Incubation Development Operation
Step 7
Site
selection
Administrative
authority
Electricity trade
agreement
Fiscal/
corporate law Funding
Electricity
provider
business permit
Electricity
provider
business permit
Planning and
engineering
Planning and
engineering
Development
and
commisioning
Operation and
maintenance
Fiscal/
corporate law
Step 4
Step 2Step 1 Step 7
Step 3
Step 6 Step 5 Step 5 Step 6
Step 9Step 8
Financial
agreement
PROCEDURE SCHEME FOR GENERAL BIOMASS/BIOGAS DEVELOPMENT
31. Start Data evaluation
by official
Qualify Disposition
Document evaluation
Qualify
Determination letter
drafting
Determination letter
Signing
Determination letter
Creating joint
account (<15 days)
Proof of deposit
development fund
Assignment letter
to PLN
Proposition of
assignment to PLN
The signing of
electricity
purchasing
agreement
Reporting
implementation
Report of activity
implementationFinish
Letter
Document
revision
No
Yes
Yes
BU requirement:
a.Appointed by
local government
b.Land availability
c.Technical
compatibility
d.Funding
capability
e.Technical
feasibility studies
f. Capability to open
escrow account
BU could utilize
deposited funding
after: validation by PT
PLN and permission
from Ditjen EBTKE ->
electrical purchasing
agreement
BU obliged to reach
Commercial Operation
Date (COD) no later
than 36 months after
signing of purchasing
agreement
5. Implementation
of electricity
purchasing
4. Assignment to
PT PLN for
electricity
purchasing
3. Appointment of
City Waste Power
Plant Developer
2. Document
completeness
evaluation and truth
clarification
1. Request of
appointment of
city waste
developer
Activities
Actors
PT PLN
Time
Bioenergy
Directorate
EBTKE General
Directorate
Enterprise
Description
APPOINTMENT OF BIOENERGY (ESPECIALLY CITY WASTE)
POWER PLANT DEVELOPER
1 working
days
10
working
days
No later than
5 working
days
20
working
days
No later than
60 working
days
32. Cost Breakdown for Operational
Expenditure (OPEX) of Biomass
Power Plant with Burning
Technology
OPEX ITEM %
Biomass 84%
Equipment
Maintenance
10%
Salaries 3%
Other 3%
Total 100%
Cost Breakdown for Capital
Expenditure (CAPEX) of Biomass
Power Plant with Burning
Technology
CAPEX ITEM %
Equipment 63%
Labor 14%
Other 10%
Building
Construction
4%
Storage Facilty 9%
Total 100%
33. Meeting and
presentation to
Biogest
SOW: Proposal
Meeting and
presentation to
Austrian Embassy
SOW: Proposal
Biogest and Austrian
Embassy hearings with
ministry of environment
SOW: Proposal, meeting
arrangement
Presentation to ministry
of environment technical
official
SOW: Proposal
National seminar on
biomass power plant
SOW: Seminar
arrangement,TOR, public
relation, press release,
proceeding
MOU signing between
ministry of environment,
Austrian Embassy, Biogest,
local government
SOW: MOU drafting,
publication, public relation
Project
agreement
Project Implementation Plan
and Par Indonesia Scope of Work (SOW)
34. Project Implementation Plan
Estimated Budget
For the implementation of project implementation plan as follow
Meeting and presentation to Biogest
Meeting and presentation to Austrian Embassy
Biogest and Austrian Embassy hearings with ministry of environment
MOU signing between ministry of environment, Austrian Embassy,
Biogest, local governemnt
National seminar on biomass power plant
Presentation to ministry of environment technical official
Project agreement
The executive fee amount stands around Rp750 milion - Rp1 billion.