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© World Energy Council 2016
E-storage: Shifting from cost
to value
Wind and solar applications 2016
World Energy Resources
1
© World Energy Council 2016
Table of contents
2
► About WEC
► Key messages of the E-storage report
• Storage technologies
► Key figures
► Example case studies
• Specific Cumulative Investment Costs
• Levelised Cost of Energy: assumed application cases for PV and wind.
• Cost modelling
► Recommendations
• Discussion and Recommendations
© World Energy Council 2016
“The world energy leaders’
network”
►Truly global
►Inclusive and impartial
►Committed to our sustainable energy future
since 1923
– 95 national committees chaired by energy
ministers, leading CEOs and practitioners
– Represents over 3000 government, private
sector and experts organisations
– Flagship event: World Energy Congress,
every three years, 2013 in Daegu, South
Korea. Next Congress, 2016 in Istanbul,
Turkey
3
World Energy Council – who we are
© World Energy Council 2016
Our mission and vision
► The energy leaders’ network promoting the sustainable
supply and use of energy for the greatest benefit of all
4
– All resources and
technologies are needed
– The concept of the ‘energy
trilemma’ guides
policymakers and industry
leaders to make
sustainable choices.
© World Energy Council 2016
World Energy Council Studies
► World Energy Scenarios – exploratory assessments providing a realistic
vision of alternative future energy landscapes
► World Energy Resources – surveys the global availability and production of
all major energy sources, with national and regional assessments
► World Energy Trilemma – assesses how well countries are addressing the
energy trilemma
► World Energy Issues Monitor – assesses the issues on top of the global
and regional energy agenda
► World Energy Perspectives – specific issues and technologies
5
© World Energy Council 2016
This report will form part of the E-storage Chapter in
the World Energy Resources Report 2016
6
© World Energy Council 2016
Purpose
► This work has been prompted by the combination of:
• Falling costs of renewables, especially PV
• Falling costs of storage, especially batteries
• Increasing penetration levels of volatile renewables (wind and
solar), prompting concerns about electricity system stability, and
effect on system costs
► How can we understand the costs of storage with PV and
wind?
► How can we establish the value of storage with PV and wind?
7
© World Energy Council 2016
Key messages
► The costs of energy storage technologies are forecasted to
reduce by as much as 70% by 2030
► Levelised Cost of Energy (LCOE) is useful as a metric
but its limitations need to be clearly understood
► The value of storage lies in the ability to provide power
reliability and improve power quality
► Storage creates additional value through its function to:
• Level the load,
• Enable deferral of grid investment and
• Creates the possibility of price arbitrage for operators
8
© World Energy Council 2016
► Pumped hydropower storage plants constitute over 90% of all
installed storage capacity
► Lithium-ion batteries constitute about one third of all
installations in the world
9
Key messages
© World Energy Council 2016
E-storage technologies improving their maturity level
10
© World Energy Council 2016
Cost are important to consider, but even more important is to take in
account the application for each technology
11
Cost reduction is forecasted!
Source: Bloomberg New Energy Finance, Maycock, Battery University, MIIT
© World Energy Council 2016 12
E-storage has a wide range of technologies and
applications
Source: PwC, 2015, following Sterner et al. 2014
© World Energy Council 2016
• Grid services
• Compensation for day-night
load imbalance
• Peak shaving, valley filling,
load shifting
• Correction of forecast errors
of renewable producers
• Prevention of redispatch
• Opportunity of spot market
price fluctuations
• Future application to bridge
periods of low wind and
photovoltaic generation
• Seasonal storage for thermal
energy
Source: PwC, 2015, following ISEA Aachen, 2012 ; E2P stands for Energy to Power Ratio
E-storage is ready to use
13
© World Energy Council 2016
Cost modelling
► The cost analysis is based on a literature review, cost modelling and
review by World Energy Council Knowledge Network Energy storage
► The two key metrics considered in the analysis are:
• Specific investment cost (SIC) and
• Levelised cost of storage (LCOS)
► Results are estimated for both current 2015 and 2030 conditions
► LCOS in particular raises methodological difficulties: see Discussion
14
© World Energy Council 2016
Levelised Cost of Storage (LCOS)
► LCOE is typically used to assess the cost of electricity from different power
plant types. In this analysis it has been transferred to storage technologies
and therefore the term LCOS is used
► LCOS enables comparison between different types of storage technologies in
terms of average cost per produced / stored kWh
15
Input Variables Elements Example values
Investment costs [€] Specific cumulative investment cost * rated
power
700 - 1500 €/kW * rated power
Annual total costs in year t [€] Operational costs (in %) * Investment costs 2% * Investment costs
Produced electricity in each year [kWh] Rated power * Equivalent full-load hours *
Efficiency
Rated power *1,460 h/a * 80%
Technical lifetime [years] Technical lifetime 50 years
Interest rate (WACC) Interest rate 8%
© World Energy Council 2016
Comparing general levelised cost of storage for
2015 and 2030 (€_2014)
16
Max: 1800
© World Energy Council 2016
Comparing levelised cost of storage co-located with
Solar for 2015 and 2030 (€_2014)
17
Max: 6800
Min: 3400
Max: 3500
Min: 1400
© World Energy Council 2016
Comparing levelised cost of storage co-located with
Wind plant for 2015 and 2030 (€_2014)
18
Max: 13700
Min: 6800
Max: 6900
Min: 2900
Max: 135000
Min: 2200
© World Energy Council 2016
Sample case studies
19
Case study - Enel Green Power PV storage project, Catania 1, Italy
This project was built in 2014-15, entirely funded by Enel Green Power. It consists of a 10 MW PV plant (limited to
8 MW due to grid constraints) and a sodium-nickel chloride battery (NaNiCl2) of 1 MW/ 2 MWh .This technology
was selected due to the energy intensive application.
The energy is sold to the market, with the stored energy classifying as green energy, under existing incentives
for the PV plant. The roles performed by the storage plant are as follows:
 Active energy management
 Improved predictability of generation
 Less volatile generation profile
 Provision of ancillary services to the grid.
There were challenges in integrating the new system with the existing system, and with the Enel Green Power
system for real time remote control and energy management. Installing the storage system involved several
upgrades on the power plant itself. Also, defining a new framework for authorization required the involvement of
several authorities.
© World Energy Council 2016
Sample case studies
20
Case study - Enel Green Power off-grid hybrid storage project,
Ollagüe, Chile
This project was built in 2014, and was entirely funded by Enel Green Power and partner company. It consists of
PV (200 kW), wind (30 kW), a sodium-nickel chloride battery (NaNiCl2) of 520 kWh net for users, and a diesel
generator.
The aim was for this off-grid power plant to provide energy 24 hours a day to the local mining community, and in
particular to:
 Reduce diesel consumption; and
 Provide energy throughout the night.
The project is located in an extremely harsh environment, with extreme daily temperature ranges and dust
conditions. Robust technologies were needed for both the PV system (3Sun double glass PV modules) and for
the storage unit (BESS sodium nickel chloride by Fiamm, and redundant inverters by Nidec-ASI).
© World Energy Council 2016
Sample case studies
21
Case study - InovCity grid-connected energy storage in Évora,
Portugal
This project was built in 2015, funded by the European Union. It consists of a battery storage system of 393kW /
196kWh by Siemens SA. It is connected to the MV distribution grid.
The purpose of the project is to demonstrate how an Energy Storage System can contribute to EDP
Distribuição's main technical challenges
 Increase in grid reliability
 Improvement of grid power quality
 Reduction of grid losses
The main function is to provide backup to the main load/client. Nevertheless, there are other auxiliary functions
under investigation, such as fault-ride-through (for grid support), peak-shaving (for grid loss reduction) and
voltage control.
There were challenges in developing a priority management plan, to achieve system optimization. Also, grid
simulation studies were necessary in order to obtain authorization for connection of the storage system to the
distribution network.
© World Energy Council 2016
Methodological challenges
Challenge one – Arbitrariness
Challenge two – Incompleteness
22
© World Energy Council 2016
The key implication of these challenges is that context matters
► Wide variation in energy storage costs
► The important metric is value, where value is a function of both cost and
revenue
► Cost reduction of storage is important, yet insufficient
► The industry's focus on cost seems to stem from two areas:
• From a country and societal perspective, the value of storage is the ability to provide
power quality and reliability, and security of supply
• Storage creates additional value through its function to level the load
► Understanding the revenue side of storage has urgency due to its
complexity
23
Implications
© World Energy Council 2016
Discussion of results: PV application case
► Solar-storage results: Assuming daily cycles and six hours discharge
time at rated power, the most competitive technologies have LCOS of
50-200 €/MWh, though these are technologies which are not
necessarily suited to all PV projects. Battery technologies are next,
around 200-400 €/MWh. By 2030, a much wider range of technologies
offer LCOS below 100 €/MWh. Looking to 2030, it is particularly
striking that battery technology becomes especially more competitive,
with sodium sulfur (NaS), lead acid and lithium-ion technologies
leading the way
► It is important to stress that the cost ranges are specific to the
application cases and assumptions defined in this report
24
© World Energy Council 2016
Discussion of results: wind application case
► Wind storage results: This application assumes two-day cycle
structure, and 24 hours discharge time at rated power. Levelised costs
are much higher for the wind-storage case than the solar-storage
case because of the high sensitivity of the LCOS to the number of
discharge cycles, and the suboptimal energy-to-power ratios required
for the wind-storage case as defined
► It is important to stress that the cost ranges are specific to the
application cases and assumptions defined in this report
25
© World Energy Council 2016
Recommendations
► Go beyond a narrow levelised cost approach to storage technology
assessment
• The lowest LCOS is not always the best option
► Examine storage technologies through holistic case studies in context
► Accelerate the development of flexible markets
• working with transmission and distribution system operators and
regulators
► The main value of storage is the ability to provide power quality and
reliability, and security of supply
► Storage is a key component when planning for grid expansion or
extension
26
© World Energy Council 2016© World Energy Council 2016
www.worldenergy.org
@WECouncil
For further information please contact
resources@worldenergy.org
For the full report, please go to:
http://www.worldenergy.org/publication
s/

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World Energy Resources Report 2016, E-storage: Shifting from cost to value 2016 – wind and solar applications

  • 1. © World Energy Council 2016 E-storage: Shifting from cost to value Wind and solar applications 2016 World Energy Resources 1
  • 2. © World Energy Council 2016 Table of contents 2 ► About WEC ► Key messages of the E-storage report • Storage technologies ► Key figures ► Example case studies • Specific Cumulative Investment Costs • Levelised Cost of Energy: assumed application cases for PV and wind. • Cost modelling ► Recommendations • Discussion and Recommendations
  • 3. © World Energy Council 2016 “The world energy leaders’ network” ►Truly global ►Inclusive and impartial ►Committed to our sustainable energy future since 1923 – 95 national committees chaired by energy ministers, leading CEOs and practitioners – Represents over 3000 government, private sector and experts organisations – Flagship event: World Energy Congress, every three years, 2013 in Daegu, South Korea. Next Congress, 2016 in Istanbul, Turkey 3 World Energy Council – who we are
  • 4. © World Energy Council 2016 Our mission and vision ► The energy leaders’ network promoting the sustainable supply and use of energy for the greatest benefit of all 4 – All resources and technologies are needed – The concept of the ‘energy trilemma’ guides policymakers and industry leaders to make sustainable choices.
  • 5. © World Energy Council 2016 World Energy Council Studies ► World Energy Scenarios – exploratory assessments providing a realistic vision of alternative future energy landscapes ► World Energy Resources – surveys the global availability and production of all major energy sources, with national and regional assessments ► World Energy Trilemma – assesses how well countries are addressing the energy trilemma ► World Energy Issues Monitor – assesses the issues on top of the global and regional energy agenda ► World Energy Perspectives – specific issues and technologies 5
  • 6. © World Energy Council 2016 This report will form part of the E-storage Chapter in the World Energy Resources Report 2016 6
  • 7. © World Energy Council 2016 Purpose ► This work has been prompted by the combination of: • Falling costs of renewables, especially PV • Falling costs of storage, especially batteries • Increasing penetration levels of volatile renewables (wind and solar), prompting concerns about electricity system stability, and effect on system costs ► How can we understand the costs of storage with PV and wind? ► How can we establish the value of storage with PV and wind? 7
  • 8. © World Energy Council 2016 Key messages ► The costs of energy storage technologies are forecasted to reduce by as much as 70% by 2030 ► Levelised Cost of Energy (LCOE) is useful as a metric but its limitations need to be clearly understood ► The value of storage lies in the ability to provide power reliability and improve power quality ► Storage creates additional value through its function to: • Level the load, • Enable deferral of grid investment and • Creates the possibility of price arbitrage for operators 8
  • 9. © World Energy Council 2016 ► Pumped hydropower storage plants constitute over 90% of all installed storage capacity ► Lithium-ion batteries constitute about one third of all installations in the world 9 Key messages
  • 10. © World Energy Council 2016 E-storage technologies improving their maturity level 10
  • 11. © World Energy Council 2016 Cost are important to consider, but even more important is to take in account the application for each technology 11 Cost reduction is forecasted! Source: Bloomberg New Energy Finance, Maycock, Battery University, MIIT
  • 12. © World Energy Council 2016 12 E-storage has a wide range of technologies and applications Source: PwC, 2015, following Sterner et al. 2014
  • 13. © World Energy Council 2016 • Grid services • Compensation for day-night load imbalance • Peak shaving, valley filling, load shifting • Correction of forecast errors of renewable producers • Prevention of redispatch • Opportunity of spot market price fluctuations • Future application to bridge periods of low wind and photovoltaic generation • Seasonal storage for thermal energy Source: PwC, 2015, following ISEA Aachen, 2012 ; E2P stands for Energy to Power Ratio E-storage is ready to use 13
  • 14. © World Energy Council 2016 Cost modelling ► The cost analysis is based on a literature review, cost modelling and review by World Energy Council Knowledge Network Energy storage ► The two key metrics considered in the analysis are: • Specific investment cost (SIC) and • Levelised cost of storage (LCOS) ► Results are estimated for both current 2015 and 2030 conditions ► LCOS in particular raises methodological difficulties: see Discussion 14
  • 15. © World Energy Council 2016 Levelised Cost of Storage (LCOS) ► LCOE is typically used to assess the cost of electricity from different power plant types. In this analysis it has been transferred to storage technologies and therefore the term LCOS is used ► LCOS enables comparison between different types of storage technologies in terms of average cost per produced / stored kWh 15 Input Variables Elements Example values Investment costs [€] Specific cumulative investment cost * rated power 700 - 1500 €/kW * rated power Annual total costs in year t [€] Operational costs (in %) * Investment costs 2% * Investment costs Produced electricity in each year [kWh] Rated power * Equivalent full-load hours * Efficiency Rated power *1,460 h/a * 80% Technical lifetime [years] Technical lifetime 50 years Interest rate (WACC) Interest rate 8%
  • 16. © World Energy Council 2016 Comparing general levelised cost of storage for 2015 and 2030 (€_2014) 16 Max: 1800
  • 17. © World Energy Council 2016 Comparing levelised cost of storage co-located with Solar for 2015 and 2030 (€_2014) 17 Max: 6800 Min: 3400 Max: 3500 Min: 1400
  • 18. © World Energy Council 2016 Comparing levelised cost of storage co-located with Wind plant for 2015 and 2030 (€_2014) 18 Max: 13700 Min: 6800 Max: 6900 Min: 2900 Max: 135000 Min: 2200
  • 19. © World Energy Council 2016 Sample case studies 19 Case study - Enel Green Power PV storage project, Catania 1, Italy This project was built in 2014-15, entirely funded by Enel Green Power. It consists of a 10 MW PV plant (limited to 8 MW due to grid constraints) and a sodium-nickel chloride battery (NaNiCl2) of 1 MW/ 2 MWh .This technology was selected due to the energy intensive application. The energy is sold to the market, with the stored energy classifying as green energy, under existing incentives for the PV plant. The roles performed by the storage plant are as follows:  Active energy management  Improved predictability of generation  Less volatile generation profile  Provision of ancillary services to the grid. There were challenges in integrating the new system with the existing system, and with the Enel Green Power system for real time remote control and energy management. Installing the storage system involved several upgrades on the power plant itself. Also, defining a new framework for authorization required the involvement of several authorities.
  • 20. © World Energy Council 2016 Sample case studies 20 Case study - Enel Green Power off-grid hybrid storage project, Ollagüe, Chile This project was built in 2014, and was entirely funded by Enel Green Power and partner company. It consists of PV (200 kW), wind (30 kW), a sodium-nickel chloride battery (NaNiCl2) of 520 kWh net for users, and a diesel generator. The aim was for this off-grid power plant to provide energy 24 hours a day to the local mining community, and in particular to:  Reduce diesel consumption; and  Provide energy throughout the night. The project is located in an extremely harsh environment, with extreme daily temperature ranges and dust conditions. Robust technologies were needed for both the PV system (3Sun double glass PV modules) and for the storage unit (BESS sodium nickel chloride by Fiamm, and redundant inverters by Nidec-ASI).
  • 21. © World Energy Council 2016 Sample case studies 21 Case study - InovCity grid-connected energy storage in Évora, Portugal This project was built in 2015, funded by the European Union. It consists of a battery storage system of 393kW / 196kWh by Siemens SA. It is connected to the MV distribution grid. The purpose of the project is to demonstrate how an Energy Storage System can contribute to EDP Distribuição's main technical challenges  Increase in grid reliability  Improvement of grid power quality  Reduction of grid losses The main function is to provide backup to the main load/client. Nevertheless, there are other auxiliary functions under investigation, such as fault-ride-through (for grid support), peak-shaving (for grid loss reduction) and voltage control. There were challenges in developing a priority management plan, to achieve system optimization. Also, grid simulation studies were necessary in order to obtain authorization for connection of the storage system to the distribution network.
  • 22. © World Energy Council 2016 Methodological challenges Challenge one – Arbitrariness Challenge two – Incompleteness 22
  • 23. © World Energy Council 2016 The key implication of these challenges is that context matters ► Wide variation in energy storage costs ► The important metric is value, where value is a function of both cost and revenue ► Cost reduction of storage is important, yet insufficient ► The industry's focus on cost seems to stem from two areas: • From a country and societal perspective, the value of storage is the ability to provide power quality and reliability, and security of supply • Storage creates additional value through its function to level the load ► Understanding the revenue side of storage has urgency due to its complexity 23 Implications
  • 24. © World Energy Council 2016 Discussion of results: PV application case ► Solar-storage results: Assuming daily cycles and six hours discharge time at rated power, the most competitive technologies have LCOS of 50-200 €/MWh, though these are technologies which are not necessarily suited to all PV projects. Battery technologies are next, around 200-400 €/MWh. By 2030, a much wider range of technologies offer LCOS below 100 €/MWh. Looking to 2030, it is particularly striking that battery technology becomes especially more competitive, with sodium sulfur (NaS), lead acid and lithium-ion technologies leading the way ► It is important to stress that the cost ranges are specific to the application cases and assumptions defined in this report 24
  • 25. © World Energy Council 2016 Discussion of results: wind application case ► Wind storage results: This application assumes two-day cycle structure, and 24 hours discharge time at rated power. Levelised costs are much higher for the wind-storage case than the solar-storage case because of the high sensitivity of the LCOS to the number of discharge cycles, and the suboptimal energy-to-power ratios required for the wind-storage case as defined ► It is important to stress that the cost ranges are specific to the application cases and assumptions defined in this report 25
  • 26. © World Energy Council 2016 Recommendations ► Go beyond a narrow levelised cost approach to storage technology assessment • The lowest LCOS is not always the best option ► Examine storage technologies through holistic case studies in context ► Accelerate the development of flexible markets • working with transmission and distribution system operators and regulators ► The main value of storage is the ability to provide power quality and reliability, and security of supply ► Storage is a key component when planning for grid expansion or extension 26
  • 27. © World Energy Council 2016© World Energy Council 2016 www.worldenergy.org @WECouncil For further information please contact resources@worldenergy.org For the full report, please go to: http://www.worldenergy.org/publication s/