24
Analysing the drivers of peak demand Smart Utilities Conference 2012 22 November 2012 Robert Simpson, Demand Management

Smart Utilities 2012 - Peak Demand

Embed Size (px)

Citation preview

Analysing the drivers of peak demand

Smart Utilities Conference 2012

22 November 2012

Robert Simpson, Demand Management

Overview

1. Energy versus peak demand

2. Seasonal, weather and day type effects

3. Customer segment contributions

4. Peak demand on network assets

5. Summary

Who is Ausgrid?

Our network

• Electricity distribution network for the eastern Sydney, Central Coast and Hunter regions

• Over 1.6 million customers (1.4 million residential)

• Area of more than 22,000 km2

• Network infrastructure includes

substations, poles, wires and

metering equipment

Energy vs peak demand

4

0

2000

4000

6000

8000

10000

12000

14000

NS

W D

em

an

d (

MW

)

Time

NSW summer demand (24 January 2011 to 13 February 2011)

NSW summer peak demand of 14,580MW

1 February (5 to 5:30pm, AEDST)

Shaded area respresents energy used during the 3 week period

Historical trends in energy and peak demand

5

0%

5%

10%

15%

20%

25%

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

Gro

wth

sin

ce 2

002

Ausgrid Summer Peak Demand and Annual Energy

Peak Demand

Annual Energy

Winter and summer peak demand

0

1,000

2,000

3,000

4,000

5,000

6,000

0:30

1:00

1:30

2:00

2:30

3:00

3:30

4:00

4:30

5:00

5:30

6:00

6:30

7:00

7:30

8:00

8:30

9:00

9:30

10:0

0

10:3

0

11:0

0

11:3

0

12:0

0

12:3

0

13:0

0

13:3

0

14:0

0

14:3

0

15:0

0

15:3

0

16:0

0

16:3

0

17:0

0

17:3

0

18:0

0

18:3

0

19:0

0

19:3

0

20:0

0

20:3

0

21:0

0

21:3

0

22:0

0

22:3

0

23:0

0

23:3

0

0:00

Syst

em

Lo

ad (

MW

)

Time

Ausgrid System Load Profile -Top five summer and winter peak days

Peak Day 1 (Thu 3 Feb 2011) Peak Day 2 (Tue 1 Feb 2011)

Peak Day 3 (Wed 2 Feb 2011) Peak Day 4 (Fri 4 Feb 2011)

Peak Day 5 (Mon 31 Jan 2011) Peak Day 1 (Tue 29 Jun 2010)

Peak Day 2 (Wed 30 Jun 2010) Peak Day 3 (Fri 2 Jul 2010)

Peak Day 4 (Thu 22 Jul 2010) Peak Day 5 (Mon 28 Jun 2010)

Weekly view of peak demand

7

0

1000

2000

3000

4000

5000

6000

Sys

tem

Lo

ad

(M

W)

Time

Ausgrid system load

Ausgrid System Load (MW)

Peak Summer Week Following WeekBefore Week

Weekends and Waltzing Matilda

8

0

1000

2000

3000

4000

5000

6000

Sys

tem

Lo

ad

(M

W)

Time

Ausgrid system load

Ausgrid System Load (MW)

Peak Summer Week Following WeekBefore Week

Australia Day (Wednesday)

Weekends

Weather (week to week)

9

0

10

20

30

40

50

60

0

1000

2000

3000

4000

5000

6000

Deg

ree

s C

els

ius

Sys

tem

Lo

ad

(M

W)

Time

Ausgrid system load

Ausgrid System Load (MW) Temperature (Sydney Olympic Park)

Peak Summer Week Following WeekBefore Week

Peak Day

Weather (day to day)

10

0

10

20

30

40

50

60

0

1000

2000

3000

4000

5000

6000

Deg

ree

s C

els

ius

Sys

tem

Lo

ad

(M

W)

Time

Ausgrid system load

Ausgrid System Load (MW) Temperature (Sydney Olympic Park)

WeekendWorking Week

Using customer interval data

• Ausgrid has over 430,000 customers with interval

meters recording data at least every half hour

• A single data stream of 30-minute interval data

stores 17,520 data records in a year

• Since 2004 Ausgrid’s policy is to install electronic

interval meters for new and replacement meters

11

Customer class Total

customers

Interval

meters (%)

Medium to large business

(>160MWh pa)

~13,000 100%

Small business ~173,000 53%

Residential ~1,457,000 23%

Total ~1,643,000 27%

Customer contribution to summer peak

12

0

1000

2000

3000

4000

5000

6000

70000:3

01:0

01:3

02:0

02:3

03:0

03:3

04:0

04:3

05:0

05:3

06:0

06:3

07:0

07:3

08:0

08:3

09:0

09:3

010:0

010:3

011:0

011:3

012:0

012:3

013:0

013:3

014:0

014:3

015:0

015:3

016:0

016:3

017:0

017:3

018:0

018:3

019:0

019:3

020:0

020:3

021:0

021:3

022:0

022:3

023:0

023:3

00:0

0

Au

sg

rid

syste

m l

oad

(M

W)

Time (AEDST)

Technical losses and unmetered

Residential and small business

Controlled Load (domestic hot water)

Medium to Large business (LV, >160Mwh pa)

Very large business (HV)

44% of system

peak

51% of system

peak

Very large business

13

0

500

1000

1500

2000

2500

3000

3500

4000

4500

0

100

200

300

400

500

600

700

800

900

0:3

0

1:0

0

1:3

0

2:0

0

2:3

0

3:0

0

3:3

0

4:0

0

4:3

0

5:0

0

5:3

0

6:0

0

6:3

0

7:0

0

7:3

0

8:0

0

8:3

0

9:0

0

9:3

0

10

:00

10

:30

11

:00

11

:30

12

:00

12

:30

13

:00

13

:30

14

:00

14

:30

15

:00

15

:30

16

:00

16

:30

17

:00

17

:30

18

:00

18

:30

19

:00

19

:30

20

:00

20

:30

21

:00

21

:30

22

:00

22

:30

23

:00

23

:30

0:0

0

NS

W P

oo

l P

ric

e (

$/M

Wh

)

To

tal L

oad

(M

W)

Time (AEDST)

High voltage and CRNP customers

Load (MW) - Peak Day Thu 3 Feb 2011

Load (MW) - Following Thu 10 Feb 2011

NSW Pool Price - Peak Day Thu 3 Feb 2011

Large

customers can

respond directly

to pool price

Medium to large business

14

0

500

1000

1500

2000

0:3

0

1:0

0

1:3

0

2:0

0

2:3

0

3:0

0

3:3

0

4:0

0

4:3

0

5:0

0

5:3

0

6:0

0

6:3

0

7:0

0

7:3

0

8:0

0

8:3

0

9:0

0

9:3

0

10

:00

10

:30

11

:00

11

:30

12

:00

12

:30

13

:00

13

:30

14

:00

14

:30

15

:00

15

:30

16

:00

16

:30

17

:00

17

:30

18

:00

18

:30

19

:00

19

:30

20

:00

20

:30

21

:00

21

:30

22

:00

22

:30

23

:00

23

:30

0:0

0

To

tal L

oad

(M

W)

Time (AEDST)

Low voltage medium to large business (>160MWh pa)

Load (MW) - Peak Day Thu 3 Feb 2011

Load (MW) - Following Thu 10 Feb 2011

Increase in load

of 17%

Small business

15

0

100

200

300

400

500

600

700

800 0

:30

1:0

0

1:3

0

2:0

0

2:3

0

3:0

0

3:3

0

4:0

0

4:3

0

5:0

0

5:3

0

6:0

0

6:3

0

7:0

0

7:3

0

8:0

0

8:3

0

9:0

0

9:3

0

10

:00

10

:30

11

:00

11

:30

12

:00

12

:30

13

:00

13

:30

14

:00

14

:30

15

:00

15

:30

16

:00

16

:30

17

:00

17

:30

18

:00

18

:30

19

:00

19

:30

20

:00

20

:30

21

:00

21

:30

22

:00

22

:30

23

:00

23

:30

0:0

0

To

tal L

oad

(M

W)

Time (AEDST)

Sample of small business (71,000 customers)

Load (MW) - Peak Day Thu 3 Feb 2011

Load (MW) - Following Thu 10 Feb 2011

Increase in load

of 19%

Residential

16

0

100

200

300

400

500

600

700

800 0

:30

1:0

0

1:3

0

2:0

0

2:3

0

3:0

0

3:3

0

4:0

0

4:3

0

5:0

0

5:3

0

6:0

0

6:3

0

7:0

0

7:3

0

8:0

0

8:3

0

9:0

0

9:3

0

10

:00

10

:30

11

:00

11

:30

12

:00

12

:30

13

:00

13

:30

14

:00

14

:30

15

:00

15

:30

16

:00

16

:30

17

:00

17

:30

18

:00

18

:30

19

:00

19

:30

20

:00

20

:30

21

:00

21

:30

22

:00

22

:30

23

:00

23

:30

0:0

0

To

tal L

oad

(M

W)

Time (AEDST)

Sample of residential (250,000 customers)

Load (MW) - Peak Day Thu 3 Feb 2011

Load (MW) - Following Thu 10 Feb 2011

Increase in load

of 147%

Diversity of customer loads

17

0

1

2

3

4

5

6

7

0:3

0

1:0

0

1:3

0

2:0

0

2:3

0

3:0

0

3:3

0

4:0

0

4:3

0

5:0

0

5:3

0

6:0

0

6:3

0

7:0

0

7:3

0

8:0

0

8:3

0

9:0

0

9:3

0

10:0

0

10:3

0

11:0

0

11:3

0

12:0

0

12:3

0

13:0

0

13:3

0

14:0

0

14:3

0

15:0

0

15:3

0

16:0

0

16:3

0

17:0

0

17:3

0

18:0

0

18:3

0

19:0

0

19:3

0

20:0

0

20:3

0

21:0

0

21:3

0

22:0

0

22:3

0

23:0

0

23:3

0

0:0

0

Lo

ad

(ave

rag

e k

W in

half

ho

ur)

Time (AEDST)

Individual residential load profiles on 3 Feb 2011

Customer 1 Customer 2 Customer 3 Customer 4 Customer 5 Average (sample of 250,000)

Residential air conditioners

18

0

10

20

30

40

50

60

70

80

90

100

19

74

/75

19

76

/77

19

78

/79

19

80

/81

19

82

/83

19

84

/85

19

86

/87

19

88

/89

19

90

-91

19

92

-93

19

94

-95

19

96

-97

19

98

-99

20

00

-01

20

02

-03

20

04

-05

20

06

-07

20

08

-09

20

10

-11

20

12

-13

20

14

-15

20

17

-18

20

19

-20

Pen

etr

ati

on

%

Residential air-conditioners Australian ownership % to 2011 & extrapolation 2012-2020

Data source: ABS (Environmental Issues: Energy use and Conservation, March 2011)

Residential air conditioners

19

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

5.0

0:3

0

1:0

0

1:3

0

2:0

0

2:3

0

3:0

0

3:3

0

4:0

0

4:3

0

5:0

0

5:3

0

6:0

0

6:3

0

7:0

0

7:3

0

8:0

0

8:3

0

9:0

0

9:3

0

10

:00

10

:30

11

:00

11

:30

12

:00

12

:30

13

:00

13

:30

14

:00

14

:30

15

:00

15

:30

16

:00

16

:30

17

:00

17

:30

18

:00

18

:30

19

:00

19

:30

20

:00

20

:30

21

:00

21

:30

22

:00

22

:30

23

:00

23

:30

0:0

0

Time (AEDST)

Sample of ~2,300 new homes with air conditioning

Load (kW) - Peak Day Thu 3 Feb 2011

Load (kW) - Following Thu 10 Feb 2011

Increase in

load of 221%

Network investment drivers

20

Peak demand growth is a key network investment driver

• Around ¾ of zones have peak demand growth >1% per year

• Around ¾ of zone substations are summer peaking (¼ winter peaking)

Other significant investment drivers

• Replacement of aged assets

• New connections and expansion of the network

• Meeting reliability and performance standards

• Meeting safety, environmental or other legislative obligations.

Zone substation diversity

21

1:0

0

2:0

0

3:0

0

4:0

0

5:0

0

6:0

0

7:0

0

8:0

0

9:0

0

10:0

0

11:0

0

12:0

0

13:0

0

14:0

0

15:0

0

16:0

0

17:0

0

18:0

0

19:0

0

20:0

0

21:0

0

22:0

0

23:0

0

0:0

0

Lo

ad

Time

Inner West Sydney Zone Substation (Predominantly Residential - Winter Peaking)

Summer 1

Summer 2

Summer 3

Summer 4

Summer 5

Winter 1

Winter 2

Winter 3

Winter 4

Winter 5

1:0

0

2:0

0

3:0

0

4:0

0

5:0

0

6:0

0

7:0

0

8:0

0

9:0

0

10:0

0

11:0

0

12:0

0

13:0

0

14:0

0

15:0

0

16:0

0

17:0

0

18:0

0

19:0

0

20:0

0

21:0

0

22:0

0

23:0

0

0:0

0

Lo

ad

Time

Inland Hunter Region Zone Substation (Summer peaking)

Winter 1

Winter 2

Winter 3

Winter 4

Winter 5

Summer 1

Summer 2

Summer 3

Summer 4

Summer 5

Winter peak 40% higher

than summer peakSummer peak 20% higher

than winter peak

Zone substation load shapes

22

0:00

2:00

4:00

6:00

8:00

10:00

12:00

14:00

16:00

18:00

20:00

22:00

0:00

AL

EX

AN

DR

IA

WY

ON

G 1

32

KV

CR

OW

S N

ES

T

GW

AW

LE

Y B

AY

LA

KE

MU

NM

OR

AH

PE

AT

S R

IDG

E

SE

FT

ON

BE

RO

WR

A

CA

MP

SIE

CA

RL

TO

N

CH

AT

SW

OO

D

DE

E W

HY

_W

ES

T

HO

RN

SB

Y

LIS

AR

OW

MIR

AN

DA

MO

RT

DA

LE

PY

MB

LE

ST

. IV

ES

WO

Y W

OY

NA

RR

AB

EE

N

EN

FIE

LD

JA

NN

AL

I

MA

RR

ICK

VIL

LE

SA

NS

SO

UC

I

DR

UM

MO

YN

E

PA

DD

ING

TO

N

AR

NC

LIF

FE

DU

LW

ICH

HIL

L

WA

VE

RL

EY

RO

SE

BA

Y

BE

LR

OS

E

MA

NL

Y

NE

WP

OR

T

98%-100%

95%-98%

93%-95%

90%-93%

88%-90%

85%-88%

83%-85%

80%-83%

78%-80%

75%-78%

73%-75%

70%-73%

68%-70%

65%-68%

63%-65%

60%-63%

0:00

2:00

4:00

6:00

8:00

10:00

12:00

14:00

16:00

18:00

20:00

22:00

0:00

CIT

Y N

OR

TH

SU

RR

Y H

ILL

S

DA

LL

EY

ST

MIL

PE

RR

A

ZE

TL

AN

D

CR

OW

S N

ES

T

CA

ST

LE

CO

VE

ST

. P

ET

ER

S

PA

DS

TO

W

FL

EM

ING

TO

N

MA

TR

AV

ILL

E

CH

AT

SW

OO

D

CA

RL

TO

N

DO

UB

LE

BA

Y

PU

NC

HB

OW

L

KIR

RA

WE

E

HU

RS

TV

ILL

E N

TH

HO

RN

SB

Y

EP

PIN

G

MIR

AN

DA

VA

LE

S P

OIN

T

CA

MP

SIE

EN

FIE

LD

WO

Y W

OY

BL

AK

EH

UR

ST

AV

OC

A

UM

INA

RE

VE

SB

Y

TU

RR

AM

UR

RA

JA

NN

AL

I

BE

LR

OS

E

DE

E W

HY

_W

ES

T

98%-100%

95%-98%

93%-95%

90%-93%

88%-90%

85%-88%

83%-85%

80%-83%

78%-80%

75%-78%

73%-75%

70%-73%

68%-70%

65%-68%

63%-65%

60%-63%

Winter Summer

• More variability in summer peak demand load profiles for individual zone substations

• Summer peak demand generally occurs for a longer period of time during the day

Demand management tool box

Methods Some of the tools

Shifting appliance use from peak to

non-peak periods

•Residential hot water direct load control

•Time of use pricing

Fuel switching •Switching from electric to gas heating

Embedded generation •Cogeneration/ Trigeneration

Switching off or operating appliances

at lower demand for short periods

•Air conditioner direct load control

•Dynamic peak pricing/ rebate

•Load shedding (C&I customers)

Energy efficiency •Efficient lighting

•Efficient refrigeration and HVAC

Power Factor Correction (PFC) • kVA charges for large customers

•Installation of PFC equipment at large business sites

23

Summary

1. Energy and peak demand have different characteristics

2. Main drivers for electricity demand; Time of day, season, weather and day type

3. Around half of system summer peak from residential and small business

4. Residential load changes the most between peak and non-peak days

5. Peak demand growth on network assets is a key investment driver

6. The diversity of network asset loads is influenced by location and customers

7. A tool box of strategies needed for demand management