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A scaling law is an engineering tool to predict the value of a system variable as a function of some other significant variables.
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>
&lt;ref&gt;O.J.W.F. Kardaun, ''Classical methods of statistics: with applications in fusion-oriented plasma physics'', Springer Science &amp; Business (2005) ISBN 3540211152&lt;/ref&gt;
Their extended use in magnetic confinement physics reflects the fact that detailed transport calculations or predictions on the basis of 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 the basis of 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]]
* predict the performance of new (larger) devices, such as [[ITER]]
Line 10: Line 11:
== General method ==
== General method ==


The typical scaling law expression for a (dependent) variable ''y'' as a function of some (independent) system variables ''x<sub>1</sub>'', ''x<sub>2</sub>'',... is:
The typical scaling law expression for a (dependent) variable ''y'' as a function of some (independent) system variables ''x&lt;sub&gt;1&lt;/sub&gt;'', ''x&lt;sub&gt;2&lt;/sub&gt;'',... is:
:<math>y = e^{\alpha_0} x_1^{\alpha_1} x_2^{\alpha_2} ...</math>
:&lt;math&gt;y = e^{\alpha_0} x_1^{\alpha_1} x_2^{\alpha_2} ...&lt;/math&gt;
Here, the &alpha;<sub>i</sub> are the scaling parameters.
Here, the &amp;alpha;&lt;sub&gt;i&lt;/sub&gt; 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.  
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:
However, a proper analysis requires:
* using ''dimensionless'' variables (easily achieved by normalizing all quantities appropriately)<ref>[http://dx.doi.org/10.1088/0741-3335/50/4/043001 T.C. Luce, C.C. Petty, and J.G. Cordey,''Application of dimensionless parameter scaling techniques to the design and interpretation of magnetic fusion experiments'', Plasma Phys. Control. Fusion, '''50''', 4 (2008) 043001]</ref>
* using ''dimensionless'' variables (easily achieved by normalizing all quantities appropriately)&lt;ref&gt;[http://dx.doi.org/10.1088/0741-3335/50/4/043001 T.C. Luce, C.C. Petty, and J.G. Cordey,''Application of dimensionless parameter scaling techniques to the design and interpretation of magnetic fusion experiments'', Plasma Phys. Control. Fusion, '''50''', 4 (2008) 043001]&lt;/ref&gt;
* guaranteeing the (linear) ''statistical independence'' of the independent variables (applying, e.g., [[:Wikipedia:Principal component analysis|Principal Component Analysis]])
* guaranteeing the (linear) ''statistical independence'' of the independent variables (applying, e.g., [[:Wikipedia:Principal component analysis|Principal Component Analysis]])


Line 21: Line 22:


In the magnetic confinement context, and assuming quasi-neutrality, the relevant scaling laws (mainly, for the [[Energy confinement time|energy confinement time]]) can be cast into dimensionless forms that involve only three plasma parameters (apart from geometrical factors):
In the magnetic confinement context, and assuming quasi-neutrality, the relevant scaling laws (mainly, for the [[Energy confinement time|energy confinement time]]) can be cast into dimensionless forms that involve only three plasma parameters (apart from geometrical factors):
<ref name="ITER"/>
&lt;ref name=&quot;ITER&quot;/&gt;
<ref>B.B. Kadomtsev,  Sov. J. Plasma Phys. '''1''' (1975) 295</ref>
&lt;ref&gt;B.B. Kadomtsev,  Sov. J. Plasma Phys. '''1''' (1975) 295&lt;/ref&gt;


:<math>\rho* = \frac{\rho_i}{a}</math>
:&lt;math&gt;\rho* = \frac{\rho_i}{a}&lt;/math&gt;


:<math>\beta = \frac{\left \langle p \right \rangle}{B^2/2\mu_0}</math>
:&lt;math&gt;\beta = \frac{\left \langle p \right \rangle}{B^2/2\mu_0}&lt;/math&gt;


:<math>\nu* \propto \nu_{ii}</math>
:&lt;math&gt;\nu* \propto \nu_{ii}&lt;/math&gt;


Here, &rho;<sub>i</sub> is the ion [[Larmor radius]] and &nu;<sub>ii</sub> the ion-ion collision frequency. Also see [[Beta|beta]] and [[Collisionality|collisionality]].
Here, &amp;rho;&lt;sub&gt;i&lt;/sub&gt; is the ion [[Larmor radius]] and &amp;nu;&lt;sub&gt;ii&lt;/sub&gt; the ion-ion collision frequency. Also see [[Beta|beta]] and [[Collisionality|collisionality]].


In dimensionless form, the diffusivities can be written as:
In dimensionless form, the diffusivities can be written as:
:<math>D = c_s \rho_s (\rho^*)^\alpha F(\nu^*,\beta,q, ...)\,</math>
:&lt;math&gt;D = c_s \rho_s (\rho^*)^\alpha F(\nu^*,\beta,q, ...)\,&lt;/math&gt;
When &alpha; = 0, the scaling is said to be of the Bohm type, and when &alpha; = 1, of the gyro-Bohm type.
When &amp;alpha; = 0, the scaling is said to be of the Bohm type, and when &amp;alpha; = 1, of the gyro-Bohm type.


== Confinement time scaling ==
== Confinement time scaling ==


The main performance parameter that is subjected to scaling law analysis is the [[Energy confinement time|energy confinement time]], &tau;<sub>E</sub>.
The main performance parameter that is subjected to scaling law analysis is the [[Energy confinement time|energy confinement time]], &amp;tau;&lt;sub&gt;E&lt;/sub&gt;.
The following are some of the most-used scalings for tokamaks:
The following are some of the most-used scalings for tokamaks:
<ref name="ITER">[http://dx.doi.org/10.1088/0029-5515/39/12/301 ITER Physics Expert Groups et al, ''ITER Physics Basis, Chapter 1'', Nucl. Fusion '''39''' (1999) 2137] and [http://dx.doi.org/10.1088/0029-5515/39/12/302 Ibid., ''Chapter 2'']</ref>
&lt;ref name=&quot;ITER&quot;&gt;[http://dx.doi.org/10.1088/0029-5515/39/12/301 ITER Physics Expert Groups et al, ''ITER Physics Basis, Chapter 1'', Nucl. Fusion '''39''' (1999) 2137] and [http://dx.doi.org/10.1088/0029-5515/39/12/302 Ibid., ''Chapter 2'']&lt;/ref&gt;
* L-mode scaling (ITER89-P)
* L-mode scaling (ITER89-P)
:<math>\tau_E^L = 0.048 I_M^{0.85} R_0^{1.2} a^{0.3} \kappa^{0.5} \bar n_{20}^{0.1} B_0^{0.2} A^{0.5} P_M^{-0.5}</math>
:&lt;math&gt;\tau_E^L = 0.048 I_M^{0.85} R_0^{1.2} a^{0.3} \kappa^{0.5} \bar n_{20}^{0.1} B_0^{0.2} A^{0.5} P_M^{-0.5}&lt;/math&gt;


* ELMy [[H-mode]] scaling (IPB98(y,2))  
* ELMy [[H-mode]] scaling (IPB98(y,2))  
:<math>\tau_E^H = 0.145 I_M^{0.93} R_0^{1.39} a^{0.58} \kappa^{0.78} \bar n_{20}^{0.41} B_0^{0.15} A^{0.19} P_M^{-0.69}</math>
:&lt;math&gt;\tau_E^H = 0.145 I_M^{0.93} R_0^{1.39} a^{0.58} \kappa^{0.78} \bar n_{20}^{0.41} B_0^{0.15} A^{0.19} P_M^{-0.69}&lt;/math&gt;


where ''I<sub>M</sub>'' is given in MA, ''P<sub>M</sub>'' in MW, ''n<sub>20</sub>'' in 10<sup>20</sup> m<sup>-3</sup>, and ''B<sub>0</sub>'' in T.
where ''I&lt;sub&gt;M&lt;/sub&gt;'' is given in MA, ''P&lt;sub&gt;M&lt;/sub&gt;'' in MW, ''n&lt;sub&gt;20&lt;/sub&gt;'' in 10&lt;sup&gt;20&lt;/sup&gt; m&lt;sup&gt;-3&lt;/sup&gt;, and ''B&lt;sub&gt;0&lt;/sub&gt;'' in T.


For stellarators, a similar scaling has been obtained (ISS).
For stellarators, a similar scaling has been obtained (ISS).
<ref>[http://www.ipp.mpg.de/ISS ISS-IPP] and [http://iscdb.nifs.ac.jp/ ISS-NIFS] homepages</ref>
&lt;ref&gt;[http://www.ipp.mpg.de/ISS ISS-IPP] and [http://iscdb.nifs.ac.jp/ ISS-NIFS] homepages&lt;/ref&gt;
<ref>[http://dx.doi.org/10.1088/0029-5515/47/9/025 A. Dinklage et al, ''Physical model assessment of the energy confinement time scaling in stellarators'', Nuclear Fusion '''47''', 9 (2007) 1265-1273]</ref>
&lt;ref&gt;[http://dx.doi.org/10.1088/0029-5515/47/9/025 A. Dinklage et al, ''Physical model assessment of the energy confinement time scaling in stellarators'', Nuclear Fusion '''47''', 9 (2007) 1265-1273]&lt;/ref&gt;
* ISS04v3
* ISS04v3
:<math>\tau_E = 0.148 R^{0.64} a^{2.33} \bar n_{20}^{0.55} B^{0.85} \iota_{2/3}^{0.41} P^{-0.61}</math>
:&lt;math&gt;\tau_E = 0.148 R^{0.64} a^{2.33} \bar n_{20}^{0.55} B^{0.85} \iota_{2/3}^{0.41} P^{-0.61}&lt;/math&gt;
There is an ongoing discussion on whether to replace the plasma size quantifiers ''(a,R)'' by ''(S,V)'' (surface and volume), which might be more appropriate for stellarator flux surfaces, deviating strongly from a [[:Wikipedia:Torus|torus]] (see [[Effective plasma radius]]).
There is an ongoing discussion on whether to replace the plasma size quantifiers ''(a,R)'' by ''(S,V)'' (surface and volume), which might be more appropriate for stellarator flux surfaces, deviating strongly from a [[:Wikipedia:Torus|torus]] (see [[Effective plasma radius]]).


=== Power degradation ===
=== Power degradation ===


One of the remarkable and initially unexpected properties of magnetically confined plasmas is the reduction of the [[Energy confinement time|energy confinement time]] &tau;<sub>E</sub> as the heating power ''P'' is increased. Typically:
One of the remarkable and initially unexpected properties of magnetically confined plasmas is the reduction of the [[Energy confinement time|energy confinement time]] &amp;tau;&lt;sub&gt;E&lt;/sub&gt; as the heating power ''P'' is increased. Typically:


:<math>\tau_E \propto P^{-\alpha}</math>
:&lt;math&gt;\tau_E \propto P^{-\alpha}&lt;/math&gt;


where &alpha; has a value of 0.6 &plusmn; 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 ([[Anomalous transport|anomalous]]) transport (i.e., more than the expected -diffusive- increase due to the increased gradient alone), producing the observed confinement degradation.  
where &amp;alpha; has a value of 0.6 &amp;plusmn; 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 &quot;free energy&quot; available to instabilities and turbulence. These instabilities may grow by feeding on the &quot;free energy&quot;, which may lead to an increase of ([[Anomalous transport|anomalous]]) transport (i.e., more than the expected -diffusive- increase due to the increased gradient alone), producing the observed confinement degradation.  
This phenomenon is therefore a form of plasma [[Self-Organised Criticality|self-organisation]].
This phenomenon is therefore a form of plasma [[Self-Organised Criticality|self-organisation]].


=== Size scaling ===
=== Size scaling ===


The ELMy [[H-mode]] scaling is of the gyro-Bohm type (&alpha; = 1).
The ELMy [[H-mode]] scaling is of the gyro-Bohm type (&amp;alpha; = 1).
Gyro-Bohm scaling is what one would expect for diffusive transport based on a diffusive scale length proportional to &rho;<sub>i</sub> (the ion gyroradius).
Gyro-Bohm scaling is what one would expect for diffusive transport based on a diffusive scale length proportional to &amp;rho;&lt;sub&gt;i&lt;/sub&gt; (the ion gyroradius).


By contrast, the L-mode scaling is of the Bohm type (&alpha; = 0), which suggests that transport may [[Non-diffusive transport|not be diffusive]] and not characterized by a typical scale length, i.e., it is dominated by the scale length corresponding to the machine size (non-locality).  
By contrast, the L-mode scaling is of the Bohm type (&amp;alpha; = 0), which suggests that transport may [[Non-diffusive transport|not be diffusive]] and not characterized by a typical scale length, i.e., it is dominated by the scale length corresponding to the machine size (non-locality).  
<ref>A. Dinklage, ''Plasma physics: confinement, transport and collective effects'', Vol. 670 of Lecture notes in physics, Springer (2005) ISBN 3540252746</ref>
&lt;ref&gt;A. Dinklage, ''Plasma physics: confinement, transport and collective effects'', Vol. 670 of Lecture notes in physics, Springer (2005) ISBN 3540252746&lt;/ref&gt;
One possible explanation of this behaviour is [[Self-Organised Criticality]], i.e., the self-regulation of transport by turbulence, triggered when a critical value of the gradient is exceeded. As a corollary, this mechanism might also explain the phenomenon of [[Profile consistency|profile consistency]].
One possible explanation of this behaviour is [[Self-Organised Criticality]], i.e., the self-regulation of transport by turbulence, triggered when a critical value of the gradient is exceeded. As a corollary, this mechanism might also explain the phenomenon of [[Profile consistency|profile consistency]].


== References ==
== References ==
<references />
&lt;references /&gt;

Revision as of 02:05, 24 November 2010

This Page Is Currently Under Construction And Will Be Available Shortly, Please Visit Reserve Copy Page

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> Their extended use in magnetic confinement physics reflects the fact that detailed transport calculations or predictions on the basis of 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 x<sub>1</sub>, x<sub>2</sub>,... is:

<math>y = e^{\alpha_0} x_1^{\alpha_1} x_2^{\alpha_2} ...</math>

Here, the &alpha;<sub>i</sub> 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:

Dimensionless parameters

In the magnetic confinement context, and assuming quasi-neutrality, the relevant scaling laws (mainly, for the energy confinement time) can be cast into dimensionless forms that involve only three plasma parameters (apart from geometrical factors): <ref name="ITER"/> <ref>B.B. Kadomtsev, Sov. J. Plasma Phys. 1 (1975) 295</ref>

<math>\rho* = \frac{\rho_i}{a}</math>
<math>\beta = \frac{\left \langle p \right \rangle}{B^2/2\mu_0}</math>
<math>\nu* \propto \nu_{ii}</math>

Here, &rho;<sub>i</sub> is the ion Larmor radius and &nu;<sub>ii</sub> the ion-ion collision frequency. Also see beta and collisionality.

In dimensionless form, the diffusivities can be written as:

<math>D = c_s \rho_s (\rho^*)^\alpha F(\nu^*,\beta,q, ...)\,</math>

When &alpha; = 0, the scaling is said to be of the Bohm type, and when &alpha; = 1, of the gyro-Bohm type.

Confinement time scaling

The main performance parameter that is subjected to scaling law analysis is the energy confinement time, &tau;<sub>E</sub>. The following are some of the most-used scalings for tokamaks: <ref name="ITER">ITER Physics Expert Groups et al, ITER Physics Basis, Chapter 1, Nucl. Fusion 39 (1999) 2137 and Ibid., Chapter 2</ref>

  • L-mode scaling (ITER89-P)
<math>\tau_E^L = 0.048 I_M^{0.85} R_0^{1.2} a^{0.3} \kappa^{0.5} \bar n_{20}^{0.1} B_0^{0.2} A^{0.5} P_M^{-0.5}</math>
  • ELMy H-mode scaling (IPB98(y,2))
<math>\tau_E^H = 0.145 I_M^{0.93} R_0^{1.39} a^{0.58} \kappa^{0.78} \bar n_{20}^{0.41} B_0^{0.15} A^{0.19} P_M^{-0.69}</math>

where I<sub>M</sub> is given in MA, P<sub>M</sub> in MW, n<sub>20</sub> in 10<sup>20</sup> m<sup>-3</sup>, and B<sub>0</sub> in T.

For stellarators, a similar scaling has been obtained (ISS). <ref>ISS-IPP and ISS-NIFS homepages</ref> <ref>A. Dinklage et al, Physical model assessment of the energy confinement time scaling in stellarators, Nuclear Fusion 47, 9 (2007) 1265-1273</ref>

  • ISS04v3
<math>\tau_E = 0.148 R^{0.64} a^{2.33} \bar n_{20}^{0.55} B^{0.85} \iota_{2/3}^{0.41} P^{-0.61}</math>

There is an ongoing discussion on whether to replace the plasma size quantifiers (a,R) by (S,V) (surface and volume), which might be more appropriate for stellarator flux surfaces, deviating strongly from a torus (see Effective plasma radius).

Power degradation

One of the remarkable and initially unexpected properties of magnetically confined plasmas is the reduction of the energy confinement time &tau;<sub>E</sub> as the heating power P is increased. Typically:

<math>\tau_E \propto P^{-\alpha}</math>

where &alpha; has a value of 0.6 &plusmn; 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 (anomalous) transport (i.e., more than the expected -diffusive- increase due to the increased gradient alone), producing the observed confinement degradation. This phenomenon is therefore a form of plasma self-organisation.

Size scaling

The ELMy H-mode scaling is of the gyro-Bohm type (&alpha; = 1). Gyro-Bohm scaling is what one would expect for diffusive transport based on a diffusive scale length proportional to &rho;<sub>i</sub> (the ion gyroradius).

By contrast, the L-mode scaling is of the Bohm type (&alpha; = 0), which suggests that transport may not be diffusive and not characterized by a typical scale length, i.e., it is dominated by the scale length corresponding to the machine size (non-locality). <ref>A. Dinklage, Plasma physics: confinement, transport and collective effects, Vol. 670 of Lecture notes in physics, Springer (2005) ISBN 3540252746</ref> One possible explanation of this behaviour is Self-Organised Criticality, i.e., the self-regulation of transport by turbulence, triggered when a critical value of the gradient is exceeded. As a corollary, this mechanism might also explain the phenomenon of profile consistency.

References

<references />