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MYRRHA Superconducting linac & Fault Tolerance
Concept
Frédéric Bouly
To cite this version:
MYRRHA Superconducting linac &
Fault Tolerance Concept
F. Bouly (LPSC- CNRS)
30th International Linear Accelerator
Conference 2020
MYRRHA Project
2
1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
MYRRHA
M
ulti-purpose h
Y
brid
R
esearch
R
eactor for
H
igh-tech
A
pplications at Mol (Belgium)
Objectives:
Demonstrate the ADS concept at pre-industrial scale
Study nuclear waste transmutation/incineration
Multipurpose and flexible irradiation facility
Staged implementation:
Phase 1: MINERVA to 100 MeV, 4 mA CW
Phase 2: 600MeV linac
Phase 3: connecting to nuclear reactor - ADS
Funding for Phase 1 approved & implementation started at
SCK●CEN (Belgium, 2018
)
MYRRHA Project
3
1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
MYRRHA
MINERVA
Proton energy 600 MeV 100 MeV
Peak beam current 0.1 to 4.0 mA
Repetition Rate 1 to 250 Hz
Beam duty cycle
2.10-4to 1 2.10-4to 0.125 (on PTF)
2.10-4to 0.875 (on FPBD)
Beam power stability < ± 2% on a time scale of 100 ms
Beam current stability < ± 2% over macropulse duration (To be confirmed ) Beam footprint on reactor window / or PTF Circular ∅ 85 mm To be specified Beam footprint stability < ± 10% on a time scale of 1 sec.
# of allowed beam trips on reactor longer than 3 sec
10 maximum per 3-month operation period
# of allowed beam trips on reactor longer than 0.1 sec
100 maximum per day
# of allowed beam trips on reactor shorter than 0.1 sec
unlimited
High power CW proton beam (up to 2.4 MW)
MYRRHA and MINERVA main proton beam specifications
Panorama of high power proton/deuteron beams worldwide (non exhaustive plot).
J-L. Biarrotte, Comparison of SRF projects, SLHiPP-4, CERN, 2014
With Some updates, 2020 (F. Bouly)
Non-exhaustive list
ADS
Extreme reliability
Data from :
D. Vandeplassche et al., ”Accelerator Driven Systems”, Proc. IPAC 2012,
New Orleans Louisiana, USA, 2012
&
E. Bargallo, “ESS reliability and availability approach”, IPAC2015,
Reliability & linac layout
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1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
Reliability guidelines for the ADS accelerator design:
Robust design
i.e. robust optics, simplicity, low thermal stress, operation margins…
Reparability
(on-line where possible) and efficient maintenance schemes
Redundancy
(serial where possible, or parallel) to be able
to tolerate/mitigate failures
Local fault-compensation scheme in SC Linac
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1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
A failure is detected anywhere
→ Beam is stopped by the MPS in injector at t
0
The fault is localised in a SC cavity RF loop
→ Need for an efficient fault diagnostic system
New V/φ set-points are updated in cavities
(cryomodule) adjacent to the failed one
→ Set-points determined in advance: via ‘virtual accelerator
application’ during the commissioning/tuning phase
The failed cavity is quickly detuned (to avoid the beam loading effect)
→ Using the Cold Tuning System
Once steady state is reached, beam is resumed at
t
1
< t
0
+ 3sec
Linac design & accelerating gradients
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1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
Enable Fault Compensation
Independently-powered cavities with moderate E
acc(30% margins) to ensure a fault-tolerant capability
Ensure a longitudinal acceptance as high as possible (
low synchronous phases
)
*Eaccis given at βoptnormalised to Lacc= Ngap.β.λ/2 **r/Q is given at βoptwith the “linac” definition
Section # #1 #2 #3
Einput(MeV) 16.6 101.4 172.3
Eoutput(MeV) 101.4 172.3 601.6
Focusing type Normal conducting quadrupole doublets
Cavity technology Single
Spoke Double Spoke Elliptical Cavity frequency (MHz) 352.2 704.4 Cavity optimal β 0.375 0.495 0.705 Nb. of cav. / cryomodule 2 2 4 Total nb of cavity 60 18 72 Nb. of cells / cavity 2 3 5 Bpk/Eacc* (mT/MV/m) 7.3 8.75 4.6 Epk/Eacc* 4.3 4.4 2.5 r/Q** (ohms) 217 427 315 Nominal Eacc(MV/m) * 7.0 6.8 11.0 Max. Eacc(MV/m) * 9.1 9.0 14.3
Synchronous phase (deg) -45 to -15 -35 to -15
4 mA beam load / cav (kW) 1.1 to 8.4 8.2 to 16.4 2.9 to 31.9
QL 1.5 106 2.1 106 6.9 106
Nominal Qpole grad. (T/m) 5.1 to 7.9 3.8 to 4.3 4.4 to 6.0
Section length (m) 91.2 36.3 121.0
Single Spoke
Courtesy of D. Longuevergne (IJCLab/CNRS)
”MYRTE Deliverable : MYRRHA SRF spoke R&D”, 2018
F. Bouly, et al. , “Superconducting LINAC Design Upgrade in View of the 100 MeV
The retuning feasibility have been assessed
Different scenarios (with multiple failures)
Use of TraceWin code optimisation algorithms
Fault recovery beam dynamics feasibility
Still losses (> 1W/m) can occur when tested on a non
perfect machine (statistic errors analysis)
Fault compensation may induce emittance growth and
longitudinal acceptance decrease
1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
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Nominal
Multi. Fault-Recovery
Example with multiple failures :
Section #1: 1 cavity
Goal : develop an algorithm to quickly pre-calculate any cavity failure compensation by being
less aggressive on the beam.
Example with the compensation of one failed cavity
Based on several criteria
1
st
criterion: recover the same transfer matrix (longitudinal plane) of the retuned area than in nominal condition
keep smooth variation of phase advance from on period to another.
Simplified model (transfer function) of cavity (assuming ΔW
i<< W
i)
𝛿𝜙
𝛿𝜙′
𝑂𝑈𝑇=
𝐶𝑜𝑠(𝑘. 𝐿
𝑐)
1
𝑘
𝑆𝑖𝑛(𝑘. 𝐿
𝑐)
− 𝑘 𝑆𝑖𝑛(𝑘. 𝐿
𝑐)
𝐶𝑜𝑠(𝑘. 𝐿
𝑐)
𝐶𝑎𝑣𝑖𝑡𝑦.
𝛿𝜙
𝛿𝜙′
𝐼𝑁.
𝑘 =
𝜔
𝑅𝐹
𝑚
0
𝑐
3
𝛽
3
𝛾
3
𝑞 𝐸𝑎𝑐𝑐 sin(ϕ
𝑆
)
Method development for retuning
Method development for retuning
2
nd
criterion: the total Energy gain should remain
the same than in the nominal case
Δ𝑊
1
+ Δ𝑊
2
+ Δ𝑊
3
+ Δ𝑊
4
+ Δ𝑊
5
= Δ𝑊
𝑇𝑜𝑡
= Δ𝑊
1
𝑅
+ Δ𝑊
2
𝑅
+ Δ𝑊
3
𝑅
+ Δ𝑊
4
𝑅
3
rd
criterion: the time of flight should remain the same than in the nominal case
𝑇
𝑖
=
𝐿
𝑐
𝛽
𝑖−1
+ 𝛽
𝑖
. 𝑐
2
Assumption on the cavity time of flight:
Problem can be solved by optimization of β
i
and k
i
(ΔW
i
,k
i
) (E
acc
, ф
s
) (Amplitude increase, Δϕ
RF
)
The solution with the simplified model is injected into the TraceWin model for fine (adjustments) tuning of
the solutions
1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
9
Example : failure compensation of a Spoke
Set points
calculation with
only with
Tracewin code
0.4
0.48
Set points with
dedicated
algorithm
1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
10
Fast cavity retuning (or detuning) must also be assessed
in less than 3 seconds
Fast failure compensation feasibility
Cold Tuning system
1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
11
Cryomodule prototype under development at IJCLab Orsay.
Fast Tuner
• Compensation of small frequency shifts with a high speed
• Piezoelectric actuators
Slow Tuner
• Compensation of large frequency shifts with a low speed
• Stepper motor with planetary gearbox (1:256)
Courtesy of H. Saugnac (IJCLab/CNRS)
A model to study the technological feasibility of retuning
procedures and to set the requirements on the cavity
control loops, the tuning systems.
Cavity and control loops model
Parameters : Spoke cavity
Param.
value
r/Q (@ β
opt)
217
Q
L1.5 10
6E
acc nomi7.0 MV/m
E
acc retuning (+30 %)9.1 MV/m
P
maxAmpli RF
16 kW
I
b4 mA
Matlab Simulink Model
1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
12
M. Dominiczak, F. Bouly, N. Gandolfo, and C. Joly, “Modeling of Superconducting Spoke Cavity with its Control Loops Systems for the MYRRHA Linac Project”, SRF'19, Dresden, TUP002.
Failure compensation – Fast retuning
Failed cavity – Fast detuning
Failed cavity has to be detuned to avoid beam loading
Example : Spoke Cavity
Superconducting 2K
Quenched critical coupling : Q0 = Qi
Quenched ~100 K
Superconducting 2K
Quenched critical coupling : Q0 = Qi
Quenched ~100 K
Threashold < 0.5 % Vacc nominal
14 kHz
14 kHz
1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
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Consequences
Conclusions
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1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
Superconducting linac
Design updated to follow the phase approach of the project ( Phase 1 : MINERVA @ 100 MeV)
In nominal condition operates with de-rated cavities to enable fault compensation
Fault Recovery procedures
Dedicated algorithm under development
Study to be coupled with reliability model development : to evaluate the number of failure to be expected.
Model developments carried out at CERN (J. Uythoven et al. )
Cryomodule prototype under construction to test fast retuning scenarios :
Retune a cavity in less than 1 second
Detune the failed cavity by at least 14 kHz in 1 second
1
st
beam in MYRRHA RFQ!
July 2020, Louvain-la-Neuve
4 mA & 2% duty cycle
We also work on other technics (with Machine learning) to improve the linac tuning (injector).
M. Debongnie et al., “Modelization of an Injector With Machine Learning”, IPAC'19, Melbourne, WEPTS006
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1 Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference
THANK YOU
* Part of this Work was supported by the European Atomic Energy Community’s (EURATOM) H2020 Programme under grant agreement n°662186:
MYRTE project.
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
MYRRHA Accelerator, Background studies
17
31 Aug. - 4
Sept. 2020 Fault tolerance & MYRRHA Linac - F. Bouly - LINAC2020 virtual conference