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Compressed Air Energy Storage Jihong Wang Power and Control Systems Research Laboratory School of Engineering, University of Warwick, Coventry CV4 7AL, UK Email: [email protected] 8 th Oxford Energy Day 1 st October 2019 University of Oxford

Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

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Page 1: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Compressed Air Energy Storage

Jihong Wang

Power and Control Systems Research Laboratory

School of Engineering, University of Warwick, Coventry CV4 7AL, UK

Email: [email protected]

8th Oxford Energy Day 1st October 2019

University of Oxford

Page 2: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Outline of the Presentation

1. Background

2. Current development

3. Compressed air energy storage

4. Summary

Page 3: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

In 1881,Edison showed a DC

generator weighing 27 T and a DC

electricity supply system.

In 1886, Tesla used an AC

generator to power lighting

systems.

Page 4: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation
Page 5: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Load demand Power generation

Frequency Control

Page 6: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

From Power 2.0, by Richard Howard and Zoe Bengherbi

Issues – High cost in balance service

Page 7: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

7

UK Power Generation Energy Sources

1/3 Electrical Energy is from renewable energy in 2018.

Page 8: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Keeping grid balance – cost increase greatly

16/06/2019 – £952000

Page 9: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

15/06/2019 – £539000 14/06/2019 – £729000

Keeping grid balance – cost increase greatly

Page 10: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Flexible Load

Balance

User side

Time of use

tariff

Demand side

management

Smart

Appliances

Energy

Storage

Generation

Fast responses

Demand

engagement

Embedded

generation

Energy

Storage

Value created by avoiding the

need to immediate invest in

system infrastructure

Value created by using

less energy or accessing

cheaper prices

Energy

Storage

Re

sp

on

se

to

rea

ltim

e p

rice

chan

ges

Page 11: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Outline of the Presentation

1. Background

2. Current development

3. Compressed air energy storage

4. Summary

Page 12: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Energy storage global installation

陈永翀,中英Workshop Presentation, June 2019.中国科学院,电工所

Page 13: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

陈永翀,中英Workshop Presentation, June 2019.中国科学院,电工所

Energy storage installation in China

Page 14: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

陈永翀,中英Workshop Presentation, June 2019.中国科学院,电工所

Energy storage installation in the UK

Page 15: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Look at all the new installations - it is noticed that

battery is dominated.

Battery is the winner of the current grid energy storage

market.

If renewable energy increases to 50%, 60%, 70%,80% 100%

of power generation?

Page 16: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Outline of the Presentation

1. Background

2. Current development

3. Compressed air energy storage

4. Summary

Page 17: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Compressed Air Energy Storage

M

Co

mp

ressor Heat Exchange /

Thermal Storage

Heat Exchange / Thermal Storage

Exp

and

er

G

Air Reservoir (tank or

underground cavern)

Off peak time: Electricity Compression Compressed air for

storage

Peak time:Stored compressed air Expansion Electricity

Page 18: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

First generation CAES system

PACSRLab

Schematic layout of the CAES plant at Huntorf, Germany.

Page 19: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

The first CAES plant, Huntorf, Germany, established in 1978

Charging power: 60 MWe (8 hrs), Discharge power:321 MWe (2 hrs)

Page 20: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Second generation CAES system

PACSRLab

Page 21: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

The second CAES plant, in McIntosh,

USA, established in 1991.

Charging power: 60 MWe (45 hrs),

Discharging power:110 MWe (26 hrs)

Page 22: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Third

generation

CAES system

PACSRLabCourtesy to Conven Energy Storage & Power LLC, http://www.enstpo.com/

Page 23: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Integrated Market-fit Affordable Grid scale Energy Storage

(IMAGES)

J Wang, M Waterson, R MacKay, M Giullietti

P Mawby, R Critoph

S Garvey

D Evans, J Busby, A Milodowski

P Eames, M Thomson

Total Funding (FEC)3.7m

PACSRLab

Page 24: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Project Objectives:

- Improve Energy Efficiency

- Explore UK CAES potential

Off peak

electricity

Peak time

generation

Page 25: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

UK Underground CAES Potential

> 6

TWh

Total capacity:(1%of total

salt deposit volume)

Mapping wind energy with storage locations

Estimate the volume of craven

formation

Estimate the exergy of compressed

air stored under assumptions

zP

P

P

P

P

P

P

P

P

P

P

PVP

EEdtEE

PPRTTcss

TTchh

ssThhmE

TPzzzRTP

zRTP

Vm

LLLHHH

C

ingCh

store

p

p

C

/)])ln(())ln([(

)/ln()/ln(

)(

)]([

),(),/(

1),/(

)(

000000

0

12

arg

000

00

000

222

222

12

Storage volume and energy

capacity calculation

Page 26: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

BGS Geographic Information

System (GIS)

Page 27: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Energy storage modelling and simulation toolbox

, , ,carvern ,carvern

,

1ˆ[ ] (

) ( )

cavern air cavern cavern p air mol cavern in in

cavern

cavern wall

out cavern cavern cavern wall

cavern

P X h n C T m hV

Am h T T

V

0.8

cavern, in,cavern ,cavern

cavern wall

eff out

cavern

Aa b m m

V

1( )cavern air cavern cavern cavern cavern

cavern

T M P V m RTm R

0 /dorifice d ori u u

u

Pm C C A P f T

P

Standardised

component block

construction

M

Co

mp

resso

r

Heat Exchange / Thermal Storage

Heat Exchange / Thermal Storage

Exp

an

de

r

G

Air Reservoir (tank or

underground cavern)

Off peak time: Electricity Compression Compressed air for

storage

Peak time:Stored compressed air Expansion Electricity

Analytic physical

component models

Real world physical system

Step 1 – Identify the system components – standardise the component model

Math

ematical

mo

del Lib

rary

Page 28: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Energy storage modelling and simulation toolbox

Structure of the software tool

Page 29: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Energy storage modelling and simulation toolbox

Example of a

model block

Page 30: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Energy storage modelling and simulation toolbox

Example of a MWs CAES plant simulation using the tool

Synchronous

generator

Air storage reservoir

(Salt cavern)

After heat

exchanger

Atmospheric air inlet

Intermediate Heat exchangers

Pre-heat

exchanger

Heat

exchangers

GearsThree-stage air expansion

Exhaust

Three-stage air compression

Elec. load

Air pipeline with direction

TES water flow direction

Shafts of compressors/turbines

Electricity wire connection

Gears

Power supply

Pressure

regulatorNon-return valve

Asynchronous

motor

Page 31: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Energy storage modelling and simulation toolbox

Page 32: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Energy storage modelling and simulation toolbox

http://estoolbox.org

Page 33: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Energy storage modelling and simulation toolbox

Page 34: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Energy storage modelling and simulation toolbox

Page 35: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Show how to use the software

Energy storage modelling and simulation toolbox

Page 36: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Data driven modelling and mixed model simulation

Min

ute

s <

Seconds

Problems:• When more components are connected to the system

simulation, the simulation speed is getting slower and slower

• The simulation program does crash!

Page 37: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Solutions:

• Refined model structure, careful choice of numerical solvers

• Quasi-dynamic modelling approach

• Data driven model – learn from physical models

Input OutputData driven

modelEquivalent

physical models

Data driven modelling and mixed model simulation

Page 38: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Data driven modelling and mixed model simulation

User friendly interface

Page 39: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Data driven modelling and mixed model simulation

The Builder tool’s main

process

NO!

Yes!

Page 40: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Participated the National 973 project led by

Chinese Academy of Sciences

10 MW demonstration plant has shown 63.6% round trip efficiency

Page 41: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation
Page 42: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

ALACAES

Page 43: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Outline of the Presentation

1. Background

2. Current development

3. Compressed air energy storage

4. Summary

Page 44: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

IEA Energy Storage Development Roadmap (April 2014)

Comparison of energy storage technologies

Compressed air energy storage - large scale,

clean, low cost, safe, long life time, low

maintenance cost, almost no leakage

Page 45: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

World

underground

CAES resources

Assessment of geological resource

potential for compressed air energy

storage in global electricity supply,Arman Aghahosseini⁎, Christian

Breyer, Applied Energy, 2018

Page 46: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

PACSRLab

ADELE – Adiabatic compressed-air energy storage

for electricity supply (RWE) in envelopment

Third generation of CAES

Page 47: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Northern Ireland, Third generation CAES plant

Page 48: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

It is difficult to attract investment on CAES. Why?

Personal opinion:

• CAES - energy type of storage technology, battery -

power type with high market value

• CAES has lower efficiency than battery

• Dramatically drop of battery price

• Battery can be small scale, low risk in investment

• CAES needs to be large scale, large investment and high

risk

Page 49: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation
Page 50: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Currently installed capacity 50 kW / 35 kWh

IoT (internet of things) data

collection and management

platform

built and installed in Power and

Control System Research

Laboratory

School of Engineering

Page 51: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Inverter

Battery

Control centre

Load

Thermal Storage

Load Load

Communication

Primary

Substation

Supply

Authority

Units

Load

CHP

HIL

a 1

1

a 223

a 34

a 4

b 1b 2

b 3b 4

5

678

V cc1

0a11

a2

23

a34a4

b 1

b 2b 3b 4

567

8V cc1

0

a1

1

a223

a34

a4

b 1b 2b 3

b 4

5

678

V cc1

0

a 1

1

a 223

a 34

a 4

b 1b 2

b 3b 4

5678

V cc1

0

L

o

g

g

e

r

ATS

A test platform for assessing the value of energy storage

IoT structure

Distributed power generation and

distribution

Control strategy development and data analysis

Hardware-in-the-loop modelling and simulation

A L

ivin

g L

ab

ora

tory

50kW/35kWh

Page 52: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

UoW BESS Financial Analysis

import capacity(kW) 35 charging efficiency: 0.97

export capacity(kW) 35 discharging efficiency: 0.95

Overview 18/19 19/20 20/21 21/22 22/23

FFR £5,202.46 £5,202.46 £5,202.46 £5,202.46 £5,202.46

CM £525.00 £535.50 £546.00 £875.00 £875.00

DUoS (Arbitrage) £1,571.81 £1,571.81 £1,571.81 £1,571.81 £1,571.81

CM saving £215.27 £219.49 £223.71 £227.93 £232.16

Triads £1,907.15 £2,144.45 £2,341.50 £2,558.85 £2,450.00

Total £3,478.96 £3,716.26 £3,913.31 £4,130.66 £4,021.81

Page 53: Compressed Air Energy Storage · IoT structure Distributed power generation and distribution Control strategy development and data analysis Hardware-in-the-loop modelling and simulation

Thanks!