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Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented at 33 rd USAEE/IAEE North American conference in Pittsburgh 27 th October 2015 Thanks: Ed Sharp, Birgit Fais, Hannah Daly (all

Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

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Page 1: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

Optimising energy storage to balance high levels of intermittent renewable generation

Paul E. DoddsUCL Energy Institute, University College

London

Presented at 33rd USAEE/IAEE North American conference in Pittsburgh27th October 2015

Thanks: Ed Sharp, Birgit Fais, Hannah Daly (all UCL)

Page 2: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

The challenge20

13/1

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20,000

40,000

60,000

80,000

100,000

120,000

140,000

160,000National Grid - Gone Green

Nuclear Coal Gas CHP CCS Interconnectors Onshore Wind

Offshore Wind Solar Biomass Other Renewables Other

Inst

alle

d C

apac

ity (G

W)

Page 3: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

2013

/14

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/15

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20

40

60

80

100

120

140

160National Grid - Gone Green

Baseload Flexible Intermittent

Inst

alle

d C

apac

ity (G

W)

The challenge

Page 4: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented
Page 5: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented
Page 6: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented
Page 7: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

Storage technologiesMECHANICAL / THERMOMECHANICAL/ GRAVITATIONAL• Pumped Hydro• Heat Pumped Temperature Difference

System• Liquid Air Energy Storage (LAES)• Compressed Air Energy Storage (CAES)• CAES Undersea Bags• Pumped Hydro with Compressed Air• Flywheels• Advance Rail Energy Storage

ELECTRO-CHEMICAL• Rechargeable Batteries (e.g. Lead–acid,

Lithium–ion, Sodium–sulfur)• Vanadium Redox Flow Batteries• SupercapacitorsTHERMAL

• Phase Changes• Solar Ponds• Sensible Thermal Energy Storage: Diurnal

and Seasonal

CHEMICAL• Hydrogen from Water Electrolysis• Chemical Reactions (zeolites/water/

inorganic oxides)• Power to Gas• Large Scale Hydrogen Storage• Traditional Energy Storage (natural gas, oil

and coal)

OTHER• Superconducting Magnetic Energy Storage

Page 8: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

Comparing technologies

• Specific (output) energy (J/kg)• Output energy density (J/m3)• Specific power (W/kg) (o/p & i/p)• Power density (W/m3) (o/p & i/p)• Minimum natural energy & power scales of a single device (J & W) • Optimum natural energy & power scales of a single device (J & W)• Nominal cost per unit energy & power at optimum scale (£/J & £/W)• Marginal cost per unit energy & power at optimum scale (£/J & £/W)• Lowest power slew rate at which performance degrades noticeably (W/s)• Effective turnaround efficiency• etc…

Page 9: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented
Page 10: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

Energy system model: UK TIMES (UKTM)

Developed from the UK MARKAL energy systems model:• Bottom-up• Perfect foresight• Cost-optimisation – CAPEX, OPEX are model inputs; fuel prices

and the price of carbon each year are calculated

It helps us to understand:• Energy flows through the economy in the future• Impact of environmental and other constraints

Page 11: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

UK high renewable scenario

2013

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4080

120160200

National Grid - Gone Green

2010 2015 2020 2025 2030 2035 2040 2045 20500

20

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200UKTM - meeting the Climate Change Act (2008)

Baseload Flexible Renewable

Inst

alle

d C

apac

ity (G

W)

• No new nuclear• No CCS

Page 12: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

Energy storage in 2050

Grid-scale Power-to-gasThermal

Thermal storage includes night storage heaters but excludes hot water tanks.

No demand-side response is assumed.

Page 13: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

Analysing the future role for energy storage

Grid-scale electricity models

Only the electrical systemFixed electricity demand

Only grid-scale storage

High temporal resolution30 mins/1 hour

Several studies

Energy system models

Whole energy systemFlexible electricity demand

All types of energy storage

Low temporal resolution4 daily periods, 4 seasons

No studies

Page 14: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

What is the impact of low temporal resolution?

1. Calculate excess generation from UKTM electricity portfolio in a high-resolution electricity model

2. Prevent UKTM from using the excess electricity to meet direct electricity demand

3. Check that UKTM is building the required technology capacity for the scenario

Page 15: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

Energy storage in 2050

Low resolution High resolution0

50

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400

Grid-scale Power-to-gas Thermal

Ener

gy fl

ow in

to st

orag

e in

205

0 (P

J/ye

ar)

Page 16: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

What is the impact of low temporal resolution?

Consequences:• Increases electricity consumption by 6%• Change mainly affects non-renewable generation:

– Renewable reduced by 1%– Baseload up by 10%, flexible up by 5%

• New investments in CAES and power-to-gas for hydrogen consumption in the wider energy system

Page 17: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

Impact on hydrogen consumption

Low resolution High resolution0

100

200

300

400

500

600

Standard Power-to-gas Imported

Hydr

ogen

pro

ducti

on in

205

0 (P

J/ye

ar)

Page 18: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

Conclusions• Low-resolution energy system models do not properly

represent the difficulties of using intermittent renewable generation.

• High-resolution electricity system models do not consider the wider types of energy storage in the energy system, which could be cheaper alternatives to grid-scale electrical storage.

• Several options – more networks, more storage, DSM/DSR• We don’t as yet know the most appropriate way to

integrate energy storage into the UK energy system in the future.

Page 19: Optimising energy storage to balance high levels of intermittent renewable generation Paul E. Dodds UCL Energy Institute, University College London Presented

Thank you for listening