Decomposition Analysis Flashcards

1
Q

What is a decomposition analysis

A

The disaggregation of a number into >2 components

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2
Q

Disaggregation of energy consumption

A

into volume/activity and intensity effect

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3
Q

Disaggregation of CO2 emissions into

A

energy demand and carbon intensity

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4
Q

Three reasons for decomposition

A
  • getting insights in past developments
  • understanding scenario outcomes
  • supporting policy analysis (trough top-down analysis)
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5
Q

Energy consumption can be disaggregated in three effects

A
  • Volume (V)
  • Structure (S)
  • Energy savings/intensity/efficiency (I)
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6
Q

CO2 emissions can be disaggregated in 5 effects

A
  • Volume (V)
  • Structure (S)
  • Energy intensity (I)
  • Fuel mix (EF)
  • Emission factor (EF)
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7
Q

2 factor decomposition methods

A
  • successively

- one-by-one

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8
Q

Successively approach

A

Decompose: b-a
Look at Delta V with I constant. Thus Delta I = b-a- Detla V
Do also for Delta I with V constant.

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9
Q

One-by-One approach

A
  • Determine Delta V with constant I
  • Determine Delta I with constant V
  • Add up Delta V and Delta I.

-Leaves a residual and is therefore not the same as b-a

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10
Q

2 factor decomposition without residual

A

Laspeyres method

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11
Q

When to use Laspeyres method

A

With 2 factors since it is easy to communicate and explains the factor you want to decompose.

-Does work for 3 or more factors but gets really complicated

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12
Q

Laspeyres method

A

½ (V0 +Vt) x ΔCI + ½ (CI0+CI1) x ΔV

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13
Q

Advantage of LMD appraoch

A

no residuals

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14
Q

What does LMD stand for

A

Log Mean Divisia

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15
Q

Logarithmic mean formula

A

(a-b)/ln(a/b)

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16
Q

Formula for LMD approach

A

L * ln(Xt/X0)

X should be replaced by the appropriate effect

17
Q

Determining the decomposition trough LMD

A

Apply the LMD formula to all factors you use and add up the results

18
Q

Difference between Laspeyres method and one-by-one

A

In the Laspeyres method instead of freezing one factor you take the average of it and multiply it with the Delta of the other factor.

19
Q

Downside of LMD approach

A

Does not work for 0 or negative data

20
Q

How to determine which factors to use

A

Make it into a formula, every factor has to be in their twice, either as a whole or in a (breuk) with another factor