This document discusses factors to consider for electricity purchase decisions in Indonesia. It outlines electricity generation and pricing in Indonesia, noting heavy reliance on fossil fuels like coal and oil. Grid electricity prices are regulated and subsidized. Expanding generation from renewable sources like hydro, geothermal, and solar is a national goal. The document also compares costs of electricity from the grid versus gas-fired or coal-fired captive power plants for a factory, noting factors like fuel costs and efficiency. Waste heat recovery and use of gas-fired heat pumps can further reduce factory energy costs versus grid or conventional options.
With a production of 1,006 Terawatt Hours (TWh), India is the fifth largest producer and consumer of electricity in the world. Over FY07-13, the production has expanded at a compound annual growth rate (CAGR) of 5.5 per cent.
Multiple drivers (industrial expansion, growing per-capita incomes) are leading to growth in power demand; this is set to continue in the coming years. Power consumption is estimated to increase from 821.2 TWh in 2013 to 1,433.2 TWh by 2022.
Power is one of the key sectors attracting foreign direct investment (FDI) inflows into India. Total FDI inflows in the sector has touched US$ 7.8 billion during April 2000-March 2013, accounting for 4 per cent of total FDI inflow in India. Major investments earmarked by public as well as private sector companies across the value chain.
The National Tariff Policy (2006) has ensured adequate return on investment to companies engaged in power generation, transmission and distribution and assured electricity to end-users at affordable and competitive rates. The government has also launched of Ultra Mega Power Project (UMPP) scheme through tariff-based competitive bidding. The Government of India targets capacity addition of 89 GW under the 12th Five-Year Plan (2012–17) and around 100 GW under the 13th Five-Year Plan (2017–22). Investments of around US$ 223.9 billion are planned for the power sector during the 12th Plan Five-Year Plan (2012-17).
India is the 5th largest power producer in the world with the total power capacity of more than 145,000MW. Despite growth in power generation capacity over various 5-Year Plans, India is facing huge power deficit with peak power deficit of about 16%.
The report provides a snapshot of the power sector in India, including the installed capacity and growth and value chain analysis. It provides overview of the various components of value chain – Generation, Trading, Transmission and Distribution.
The report includes an analysis of the government policies and incentives to boost the total installed capacity and also highlights the key trends and challenges in the power sector.
Competitive landscape identifies the public sector undertakings, domestic and international private players in power sector market. It highlights the presence of each player across the value chain, their installed capacity and key financials.
Vibrant Gujarat - Renewable Energy Sector ProfileVibrant Gujarat
• Promoting open and competitive markets for renewable/sustainable energy power projects.
• Supporting companies and other private sector where there is a gap through a single window clearance.
• Helping to generate productive jobs and deliver essential services to the Renewable Energy sector.
• Catalyzing and mobilizing the promotion and popularization of sustainable energy technologies through various outreaches programmed and projects."
With a production of 1,006 Terawatt Hours (TWh), India is the fifth largest producer and consumer of electricity in the world. Over FY07-13, the production has expanded at a compound annual growth rate (CAGR) of 5.5 per cent.
Multiple drivers (industrial expansion, growing per-capita incomes) are leading to growth in power demand; this is set to continue in the coming years. Power consumption is estimated to increase from 821.2 TWh in 2013 to 1,433.2 TWh by 2022.
Power is one of the key sectors attracting foreign direct investment (FDI) inflows into India. Total FDI inflows in the sector has touched US$ 7.8 billion during April 2000-March 2013, accounting for 4 per cent of total FDI inflow in India. Major investments earmarked by public as well as private sector companies across the value chain.
The National Tariff Policy (2006) has ensured adequate return on investment to companies engaged in power generation, transmission and distribution and assured electricity to end-users at affordable and competitive rates. The government has also launched of Ultra Mega Power Project (UMPP) scheme through tariff-based competitive bidding. The Government of India targets capacity addition of 89 GW under the 12th Five-Year Plan (2012–17) and around 100 GW under the 13th Five-Year Plan (2017–22). Investments of around US$ 223.9 billion are planned for the power sector during the 12th Plan Five-Year Plan (2012-17).
India is the 5th largest power producer in the world with the total power capacity of more than 145,000MW. Despite growth in power generation capacity over various 5-Year Plans, India is facing huge power deficit with peak power deficit of about 16%.
The report provides a snapshot of the power sector in India, including the installed capacity and growth and value chain analysis. It provides overview of the various components of value chain – Generation, Trading, Transmission and Distribution.
The report includes an analysis of the government policies and incentives to boost the total installed capacity and also highlights the key trends and challenges in the power sector.
Competitive landscape identifies the public sector undertakings, domestic and international private players in power sector market. It highlights the presence of each player across the value chain, their installed capacity and key financials.
Vibrant Gujarat - Renewable Energy Sector ProfileVibrant Gujarat
• Promoting open and competitive markets for renewable/sustainable energy power projects.
• Supporting companies and other private sector where there is a gap through a single window clearance.
• Helping to generate productive jobs and deliver essential services to the Renewable Energy sector.
• Catalyzing and mobilizing the promotion and popularization of sustainable energy technologies through various outreaches programmed and projects."
Energy cost and energy shortage in nepal potential of solar, wind and other f...SINGHZEE
This is a brief discussion on the energy cost and energy shortage situation in Nepal as well as the potential of Solar, wind and other future energy in Nepal
PLEASE HIT LIKE IF IT'S HELPFUL! :D
Conventional energy prices are getting higher
Reaching grid parity is few years ahead
Turkey signed Kyoto Agreement
Turkey possesses abundent hydro, biomass, solar&geothermal resources
Turkey is urgently in need of new installed electric power capacity
Solar business is capex intensive but doesn’t need fuel
Interest rates are reasonably coming down
Industry needs a stimulus package and an incentive scheme
Foreign&local investers are ready to take initiatives
Banks need power purchase agreement (PPA)
Digital Platform for Energy Management System - BuildingAvijit Choudhury
Enables continual energy audit, energy performance monitoring,drawing baseline, normalization and M&V. Extremely useful for ESCO project intervention & decision making. Contact Avijit.Choudhury@Cenergist.com for demo of the platform
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Energy Analysis Plays an Important Role in Purchase Decisions
1. ENERGY ANALYSIS PLAYS AN
IMPORTANT ROLE IN PURCHASE
DECISIONS
RSM GC ADVISORY SERVICES (INDIA)
2. Energy Analysis Matrix
Primary Energy
Solid Fuel (Coal/ Pet Coke etc)
Liquid Fuel (HSD/ FO/LDO etc)
Gaseous Fuel (NG/LPG/Coal Gas etc)
Secondary Energy
Conventional Electricity from Grid
Open Access Power
R.E Power
Renewable Energy
Solar (Thermal & PV)
Wind
Geothermal
Alternative Energy
Producer Gas (from Biomass
Gasification)
Biogas (from digestion of bio-waste)
What are the options
available?
3. Important Macro Factors
Present Energy Situation in Indonesia
• Coal Reserve of 120.5 billion tons (146 yrs), 3.69 billion barrels (23 yrs),
101.54 trillion cubic feet (59 yrs).
• The country has significant potential of Hydro power (75,000 MW), mini
hydro (1013 MW), Geothermal Power (28,000 MW – 40% of world
reserve), Solar radiation (4.80 kWh/sqm/day), Wind Speed (3-6 m/s).
• 2013 figures suggest that annual primary energy supply of the country
was 1.61 BOE (barrels of oil equivalent)- Oil 46.08%, Coal 30.90% and
gas 18.26%, Hydropower 3.21%, Geothermal 1.15%, Bio-fuel 0.40% and
rest different biomass from woods and forest.
4. Largest economy in South East Asia
Important Macro Factors in Indonesia
• As per 2015 World Bank data the GDP of the country is US$ 861.93 billion
with an annual growth rate of 5 -6%.
• Being one of the founding member of OPEC, Indonesia left the organization in
2009.
• Energy Prices are highly subsidized in the country. In 2010 the combined fuel
& electricity subsidy was IDR 111.9 trillion (US$ 12.40 billion) out of which
allocation for fuel subsidy was IDR 57.46 trillion ($ 6.37 billion).
• Consequently, energy intensity is also high- 565 toe per million $ GDP
(compared to 439 toe of Malaysia, 191 toe of India and average 139 toe for
OECD countries) .
5. Net Oil Importer
Economic Transition in Indonesia
• Transition from energy export oriented economy to domestic manufacturing based
economy.
• Became net oil importer in 2004.
• However the country is still net exporter of natural gas.
• The Energy Elasticity of the country is also high – for every 1% increase in GDP,
energy demand rise by 1.6%.
• The projected energy demand for the year 2025 and 2050 are 380 and 980 MTOE
respectively.
• Present high oil percentage in national energy mix shall be reduced to half in the
future days.
6. • As per National Energy Conservation
Master Plan there will be radical shift
in energy mix by 2025 compared to
2011 figure.
• Coal generation is expected to go up
by three times.
• Gas generation will be more than
double
• Use of renewable energy will be more
than ten folds.
RKEN target Energy Mix by 2025
Shift from Oil dependency
7. Macro Factors
Energy Requirement of Composite Textile Unit
• Energy cost varies from 7% to 17% of the total
operating cost depending on scale of operation,
type of end products and country of operation.
• Use of Electricity is predominant: 80% or more
• Use of Thermal Energy is less: 8 to 20% only.
8. BUYING FROM THE GRID?
PUTTING UP CPP?
Keep both the options with pre-decided
power mix??
What Should I do for Electricity???
9. Grid Electricity as an option
Electricity
Regulatory
compulsions
Pricing
mechanism, social
& political factors
Reliability of
supply &
Power Quality
Power Mix in the
grid & availability of
primary fuel for
power generation
10. Present Electricity Tariff in Indonesia
Each segment has slabs based on installed power capacity. Highest
tariff is charged above 6600 VA contract demand.
• Low Voltage Consumers (all sorts of domestic, medium scale
commercial & street lighting): Rp 1355 per unit (INR 6.78/ kWh)- Max
• Medium Voltage Consumers (large scale commercial & medium
scale industry) : Rp 1042 per unit (INR 5.21/ kWh)- Max
• High Voltage Consumers (medium and large scale industries): Rp
933 per unit (INR 4.67/ kWh)- Max
11. Present Electricity Scenario
Generation, transmission & distribution is thru Government Utility
company PLN or their Licensees
• Total power generation is around 55,000 MW – out of which 30,000 MW by PLN
alone.
• Out of this 30 GW- 80% electricity is produced from fossil fuel like oil, coal, gas
etc. 18% comes hydropower while balance 2% from geothermal.
• Remaining 25 GW mostly comes from CPP of different industries or PLN
Licensees.
• Diesel generator accounts for around 60% of the total captive power where co-
generation contributes 25% only.
12. Generation Expansion Need of Indonesia (in MW)
Electricity demand is growing on an average rate of 7% per year
13. ADB Estimate & Trend Chart
Generation Cost vs. Tariff vs. Subsidy
14. Forecasting of Grid Power Price
Electricity Price going Up
1) Reducing subsidy by Government.
2) Fund needed for additional generation capacity
(cess etc).
3) Increasing over all power demand- specially
from industrial sector.
4) Grid expansion in remote areas (debt fund).
5) Increase of renewable energy in power mix.
6) Possibility of private participation in generation &
transmission
15. Forecasting of Electricity Price.
1) Shifting from Oil dominance to Coal
dominance
2) Increase in hydro power share
3) Falling Oil price / Coal price
4) Infrastructure funding by multilateral
agency
Electricity
Price going
Down
17. Does coal price follow crude oil price??
What about CPP based on Coal?
18. Comparison of various Options
Energy Heat
Value
(Rp/
Kcal)
Net
operative
heat rate of
CPP
(Kcal/kWh)
Other
Operating
Costs
(Rp/kWh)
Cost of
Electricity
without waste
heat recovery
(Rp/kWh)
Cost of
Electricity with
Co-
generation(Rp/
kWh)
Electricity 1.211 - - - 1042
NG 0.4534 2717 181 1392 905
Coal 0.1471 3200 264 660 429
HSD 1.060 2073 116 2309 -
19. Use Gas based Heat Pump instead of conventional Chiller
20. Save Water, Electricity & Cost
Reduce GHG Emission
• Electricity consumption is reduced up to 90%
• Compressor (main load) is coupled with IC
engine which runs on NG
• Elimination of Cooling Tower operation
• Simultaneous production of hot water at no
additional cost- eliminates hot water boiler
• Waste heat of gas engine is also being used to
boost up hot water production.
• Also operates in reverse cycle (heating
application)
• Cut down up to 70% of operating cost.