Scaling law: Difference between revisions

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Scaling laws are an engineering tool to predict the performance of a system as a function of some significant parameters.
A scaling law is an engineering tool to predict the value of a system variable as a function of some other significant variables.
<ref>O.J.W.F. Kardaun, ''Classical methods of statistics: with applications in fusion-oriented plasma physics'', Springer Science & Business (2005) ISBN 3540211152</ref>
<ref>O.J.W.F. Kardaun, ''Classical methods of statistics: with applications in fusion-oriented plasma physics'', Springer Science & Business (2005) ISBN 3540211152</ref>
Their extended use in magnetic confinement physics reflects the fact that detailed transport calculations or predictions on first principles are difficult in this field. In the latter context, they are mainly used to
Their extended use in magnetic confinement physics reflects the fact that detailed transport calculations or predictions on first principles are difficult in this field. In the latter context, they are mainly used to

Revision as of 19:03, 11 September 2009

A scaling law is an engineering tool to predict the value of a system variable as a function of some other significant variables. [1] Their extended use in magnetic confinement physics reflects the fact that detailed transport calculations or predictions on first principles are difficult in this field. In the latter context, they are mainly used to

  • predict the performance of new (larger) devices, such as ITER
  • summarize large amounts of experimental data
  • make performance comparisons between devices
  • make educated guesses at local transport mechanisms


General method

The typical scaling law expression for a (dependent) variable y as a function of some (independent) system variables x1, x2,... is:

Here, the αi are the scaling parameters. By taking the logarithm of this expression, it becomes linear in the parameters and simple (multivariate) linear regression tools can be used to determine the parameters from a set of data. However, a proper analysis requires:

  • using dimensionless variables (easily achieved by normalizing all quantities appropriately)
  • guaranteeing the (linear) statistical independence of the independent variables (applying, e.g., Principal Component Analysis)

Confinement time scaling

The main performance parameter that is subjected to scaling law analysis is the energy confinement time, τE. The following are some of the most-used scalings for tokamaks:

  • L-mode scaling
  • ELMy H-mode scaling (IPB98(y,1)) [2]

For stellarators, a similar scaling has been derived (ISS). [3] [4]

Power degradation

One of the remarkable and initially unexpected properties of magnetically confined plasmas is the reduction of the energy confinement time τE as the heating power P is increased. Typically:

where α has a value of 0.6 ± 0.1. The reason for this behaviour has not been fully clarified. Qualitatively, it seems obvious that an increase of P will lead to an increase of (temperature and density) gradients, and thus an increase of "free energy" available to instabilities and turbulence. These instabilities may grow by feeding on the "free energy", which may lead to an increase of transport, producing the observed confinement degradation. This phenomenon is therefore a form of plasma self-organisation.

Size scaling

The L-mode scaling is of the "Bohm" type, while the ELMy H-mode is of the "gyro-Bohm" type. "Gyro-Bohm" scaling is what one would expect for diffusive transport based on a diffusive scale length proportional to ρi (the ion gyroradius). "Bohm" scaling, however, suggests that transport is not diffusive and not characterized by a typical scale length. (More detail needed)

Dimensionless parameters

Assuming quasi-neutrality, the relevant scaling laws can be cast into dimensionless forms that involve only three plasma parameters (apart from geometrical factors): [2] [5]

Here, ρi is the ion Larmor radius and νii the ion-ion collision frequency. Also see beta.

References

  1. O.J.W.F. Kardaun, Classical methods of statistics: with applications in fusion-oriented plasma physics, Springer Science & Business (2005) ISBN 3540211152
  2. 2.0 2.1 ITER Physics Expert Groups on Confinement Modelling and Transport, Confinement Modelling and Database, and ITER Physics Basis Editors, Nucl. Fusion 39 (1999) 2137
  3. ISS-IPP and ISS-NIFS homepages
  4. A. Dinklage et al, Physical model assessment of the energy confinement time scaling in stellarators, Nuclear Fusion 47, 9 (2007) 1265-1273
  5. B.B. Kadomtsev, Sov. J. Plasma Phys. 1 (1975) 295