ACC Carbon Tool

Probability distributions

The ACC Carbon Tool is a stochastic visualisation tool. It uses probability distributions to simulate emissions, emission occurrences, and carbon prices, which are described on the emitter groups and carbon pricings help pages.

The distributions that are available for use fall into several groups.

Deterministic

This is not actually a probability distribution: the emissions, occurrence years or prices do not vary between simulations.

Keyword Distribution
deterministic or none Deterministic

Normal

These distributions are based on the normal distribution

Keyword Distribution
normal or normalpct Normal distribution
truncnormal or normal or normalpct Truncated normal distribution
lognormal or lognormalpct Lognormal distribution

Other

Various other distributions.

Keyword Distribution
uniform Continuous uniform distribution
triangle Triangular distribution
trapezoidal Trapezoidal distribution

Summary

The following table summarises availability and parameters:

  Deterministic Normal Truncated normal Lognormal Uniform Triangular Trapezoidal
Sources?  1, 2  1, 2  1, 2  3  3
Occurrences? see below  1  1  1
Prices?  1  1  1
Distribution parameters?
Year data amount mean, sd mean, sd mean, sd min, max min, mode, max min, max (see below)

Notes:

  1. Truncated below at zero for emit sources, prices and occurrences
  2. Truncated above at zero for sink sources
  3. Cannot be used for emit or sink sources

Descriptions

Each of these distributions is described below, including the distribution parameters they require and the information that is required for each year.

Description

The emissions or carbon prices are determined deterministically.

Keywords: deterministic or none

Distribution parameters

None.

Year data

  • The (deterministic) level of emissions or carbon price.

Special notes

If a deterministic distribution is specified for occurrences, the occurrence parameters (if present) are ignored.

For emit sources, occurrences, and carbon pricings the amount will be set to zero if it is negative.

For sink sources the amount will be set to zero if it is positive.

Emissions changes

The location of the distribution is the amount — ie, the level of emissions or carbon price. The spread of the distribution is zero.

Description

The emissions or carbon prices are determined using the normal distribution,

Keywords: normal or normalpct

Distribution parameters

None.

Year data

  • The mean and standard deviation. If the normalpct keyword is used, the standard deviation is specified as a proportion of the mean. The normalpct keyword cannot be used for occurrences or in a carbon pricing.

Special notes

The normalpct keyword can be used only in sources.

If the normal or normalpct keyword is used for emit or sink sources, occurrences or in a carbon pricing, the truncated normal distribution is used (see below).

Emissions changes

The location of the distribution is the mean. The spread of the distribution is the standard deviation.

Description

The emissions or carbon prices are determined using the truncated normal distribution. For sink sources, the distribution is truncated above at zero with no lower bound. For other sources, occurrences, and carbon pricings the distribution is truncated below at zero with no upper bound.

Keyword: truncnormal, normal or normalpct.

Distribution parameters

None.

Year data

  • The mean and standard deviation.

Special notes

The truncated normal distribution is used for emit or sink sources, occurrences and prices if the normal or normalpct keywords are specified.

For emit sources, occurrences, and carbon pricings the mean will be set to zero if it is negative.

For sink sources the mean will be set to zero if it is positive.

Emissions changes

The location of the distribution is the mean. The spread of the distribution is the standard deviation. Note that this can produce counter-intuitive results if the mean is close to zero.

Description

The emissions or carbon prices are determined using the lognormal distribution.

Keyword: lognormal or lognormalpct

Distribution parameters

None.

Year data

  • The mean and standard deviation. If the lognormalpct keyword is used, the standard deviation is specified as a proportion of the mean.

Special notes

The lognormal distribution cannot be used for occurrences or prices.

If the lognormal keyword is used for sink sources, the mean must be negative and a reversed lognormal distribution will be used (ie, the lognormal distribution reflected in the y axis). For other sources, the mean must be positive. The mean must not be zero.

Emissions changes

The location of the distribution is the mean. The spread of the distribution is the standard deviation.

Description

The emissions or carbon prices are determined using the uniform distribution.

Keyword: uniform

Distribution parameters

None.

Special notes

For emit sources, occurrences, and carbon pricings the minimum and maximum will be set to zero if they are negative.

For sink sources the minimum and maximum will be set to zero if they are positive.

Year data

  • The minimum and maximum.

Emissions changes

The location of the distribution is the median. The spread of the distribution is the range — the difference between the minimum and maximum.

Description

The emissions are determined using the triangular distribution.

Keyword: triangle

Distribution parameters

None.

Special notes

The triangular distribution cannot be used for emit or sink sources, occurrences, or carbon pricings.

Year data

  • The minimum, mode and maximum.

Emissions changes

The location of the distribution is the mode. The spread of the distribution is the range — the difference between the minimum and maximum.

Description

The emissions are determined using the trapezoidal distribution.

Keyword: trapezoidal

Distribution parameters

A single parameter representing the ratio of the triangular areas of the distribution to the rectangular area. The triangular areas are assumed to be symmetrical.

Special notes

The trapezoidal distribution cannot be used for emit or sink sources, occurrences, or carbon pricings.

Year data

  • The two bending points of the distribution — the minimum and maximum of the rectangular area.

Emissions changes

The location of the distribution is the average of the two bending points. The spread of the distribution is the range — the difference between the maximum and minimum.