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Demand Estimation Seasonal Normal Friday 2 nd October 2009

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Demand Estimation Seasonal Normal. Friday 2 nd October 2009. Increments from EP2 climate change. Changes in climate from the EP2 work provided: A set of forecast years Used to produce 31 year averages centred on each year from 2008 onwards - PowerPoint PPT Presentation

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Page 1: Demand Estimation Seasonal Normal

Demand Estimation Seasonal Normal

Friday 2nd October 2009

Page 2: Demand Estimation Seasonal Normal

© 2007 E.ON 19 April 2023, E.ON, Page 2

Increments from EP2 climate change

Changes in climate from the EP2 work provided: A set of forecast years Used to produce 31 year averages centred on each year from

2008 onwards Output was converted to a single base year and increments

2010 has a set of increments that specifically relate to the adjustment to raise the base year to a 31 year average centred on 2010

Each year has a specific set of increments that vary

Cannot use one years increments with different base years as the two items need to sum to the EP2 forecast output

Page 3: Demand Estimation Seasonal Normal

© 2007 E.ON 19 April 2023, E.ON, Page 3

Increment changes

The following chart is from the Met Office EP2 output: Lines show the increment needed to move the base year to each

year in question Increased in increment is not linear Therefore to apply to different base years as in the xoserve

method requires different increments Significant cooling from inappropriate

values

Solid lines are for max

Dotted lines for min

Page 4: Demand Estimation Seasonal Normal

© 2007 E.ON 19 April 2023, E.ON, Page 4

Wind Impact

The following chart uses our calculation of CWV degree days: CWV calculated as normal CWV calculated with zero windspeed to show maximum

warming Comparison to average CWV calculated by xoserve using daily

and average methods

Page 5: Demand Estimation Seasonal Normal

© 2007 E.ON 19 April 2023, E.ON, Page 5

Wind Impact Chart2008 - WM

3.00

5.00

7.00

9.00

11.00

13.00

15.00

17.00

19.00

21.00

01

/01

/20

08

15

/01

/20

08

29

/01

/20

08

12

/02

/20

08

26

/02

/20

08

11

/03

/20

08

25

/03

/20

08

08

/04

/20

08

22

/04

/20

08

06

/05

/20

08

20

/05

/20

08

03

/06

/20

08

17

/06

/20

08

01

/07

/20

08

15

/07

/20

08

29

/07

/20

08

12

/08

/20

08

26

/08

/20

08

09

/09

/20

08

23

/09

/20

08

07

/10

/20

08

21

/10

/20

08

04

/11

/20

08

18

/11

/20

08

02

/12

/20

08

16

/12

/20

08

30

/12

/20

08

No Wind CWV Degree days CWV Degree days Avg CWV Daily CWV

Page 6: Demand Estimation Seasonal Normal

© 2007 E.ON 19 April 2023, E.ON, Page 6

Wind Impact Wind seems to have less impact than xoserve are stating – second order

7 days impact in June, 2 in July, 1 in August 2008 Average summer impact 0.04 degree days per day Total difference: 0.2 degree days per day in 2008 0.18 degree days in 2007 0.17 degree days in 2006 On average 40% lower with NO WIND than the daily to

average calculation impact stated by xoserve suggesting incorrect increments have as large an impact to understating wind in averages

Average calculation fits at shoulder months to observed (true for 2005 to date)

Suggests that the EP2 limitations are not significant particularly with seasonal shape changes warming shoulder months and maximum temps

Page 7: Demand Estimation Seasonal Normal

© 2007 E.ON 19 April 2023, E.ON, Page 7

Impact of EP2 climate changeChanges in temperature from the EP2 climate work:

Increased warming over the period we are applying seasonal normal to

Warming greatest in shoulder months but also significant for other periods

EP2 designed to provide view of EXPECTED (normal) climate for each year

February Changes

4.4

4.6

4.8

5

5.2

5.4

5.6

5.8

6

1 3 5 7 9 11 13 15 17 19 21 23 25 27

2010

2011

2012

2013

2014

July/August Changes

16.5

17

17.5

18

18.5

19

19.5

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37

2010

2011

2012

2013

2014

Page 8: Demand Estimation Seasonal Normal

© 2007 E.ON 19 April 2023, E.ON, Page 8

Changes in CWV – to mitigate concern on wind effectChanges in CWV between average method and daily method:

Average change for WM example used 0.09 (xoserve figures) Maximum change 0.6 in June (xoserve figures)

Roughly equivalent to an effective temperature change of 0.12 (max 0.9)

EP2 change between 2010 and 2014 is an average of 0.14 (max 0.2 - June)

EP2 change between 2010 and 2012 is an average of 0.08 (max 0.11 - May)

Suggested option use 2010 as base year to compensate for the lack of cooling impact from averaging methodology?