eff_tf_cryo needs to be an input but keeping the existing default values
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- Python
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Description
In GitLab by @cjwgriesel on Oct 20, 2021, 14:40
in plant_power.f90
real(8) :: eff_tf_cryo
!! TF cryoplant efficiency (compared to pefect Carnot cycle).
!! Using -1 set the default value depending on magnet technology:
!!
!! - i_tf_sup = 1 : SC magnet, eff_tf_cryo = 0.13 (ITER design)
!! - i_tf_sup = 2 : Cryo-aluminium, eff_tf_cryo = 0.4
eff_tf_cryo needs to have the option of being an input as there is a wide range of cryogenic efficiencies. From 13% to 40% according to the strobridge curve and manufacturers literature.
Change this line in plant_power.f90 so it gives the input efficiency regardless of the type of magnet HTS or CRYO AL. This is misleading as it is always displayed regardless of the choice of magnet material/type.
call ovarre(outfile,'Efficiency (figure of merit) of cryogenic plant is 13% of ideal Carnot value:', &
'', (0.13D0*tmpcry)/(293.0D0 - tmpcry), 'OP ') with 0.13 replaced by eff_tf_cryo etc
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