Advanced Heavy Water Reactor
1.2       ADVANCED COMPUTATIONAL TOOLS FOR                            subspace based solution techniques. The space-time analysis code
          PHYSICS DESIGN                                              simulates the transient, due to the disturbed reactor steady state,
.         Space-time Analysis code for AHWR
                                                                      by numerically solving the time dependent diffusion equations.
                                                                      The code is coupled with a visualization tool to plot fluxes as a
                                                                      function of transient time, at any planar cross-section of the
The knowledge of the space and time dependent behaviour of            reactor core. It is validated against a HWR benchmark problem,
the neutron flux is important for the reactor safety analysis         which simulates power rise due to half-core coolant voiding and
under operational and accidental conditions.                          subsequent control action. Representative snapshot
                                                                      flux profiles in two central planar cross-sections when power is
                                                    Advanced
A time-dependent diffusion theory code called ARK3 (A                 at a maximum value, are illustrated.
Heavy Water R eactor Kinetics in 3 -D) is being developed for the
AHWR. The code ARK3 has option to use advanced Krylov                 The code ARK3 is currently being used to analyze AHWR transients
                                                                      such as LORA, operational transient with xenon and validation
                                                                      of reactor physics software in AHWR simulator. This code will be
                                                                      coupled with the thermal-hydraulic analysis code for studying
                                                                      the combined effects of neutronic and thermal hydraulic
                                                                      behaviour.
                                                                      Anurag Gupta <anurag@barc.gov.in>
                                                                      .         ATES3 – Anisotropic Transport Equation
                                                                                Solver in 3-D
                                                                      An accurate prediction of the time dependent multi dimensional
                                                                      & multi energy group neutron flux at successive time instants, is
                                                                      one of the main aspects of reactor physics design. There are
                                                                      primarily two main approaches: deterministic (Sn, Collision
                                                                      probability) and Stochastic (Monte Carlo). Often, the reactor
                                                                      core calculations are done with diffusion theory, which is an
                                                                      approximation of the neutron transport theory, a deterministic
                                                                      approach. But an exact transport theory treatment is necessary
                                                                      in several cases such as high leakage reactors, for fluxes at the
                                                                      boundary and beyond, shielding analysis, verification of the
                                                                      approximate methods etc.
                                                                      Recently, a neutron-gamma transport theory code, called ATES3,
                                                                      has been developed in 3-D Cartesian geometry for steady state
                                                                      criticality and external source problems. Apart from conventional
                                                                      methods of solutions, the code makes use of a few advanced
      ARK3 estimated flux profile for AECL benchmark                  Krylov subspace based schemes. The code is written in Fortran-
       along central XY and XZ planes of the reactor
                                                                      90 language and has modular structure. These features make it
        core at 0.85 sec when power is at maximum
                                                                      more understandable and comparatively easier to modify. The
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Advanced Heavy Water Reactor
code ATES3 has been validated against a few international
benchmarks and is being subjected for more rigorous testing.
                                                                    .         Monte Carlo Technique: Code Development
                                                                              and Reactor Physics Simulation
Figure below gives the material layout and the corresponding
thermal flux shape for an LWR benchmark. The flux dip at the        Monte Carlo, as a tool in numerical analysis has gained wide
Control Rod (CR) location can be seen clearly.                      spread applicability over the past few decades. The advent of
                                                                    high speed computing machines has been mainly responsible for
As is well known, transport problems are highly memory and          the continual development of Monte Carlo method. Used
CPU time intensive problems, a single PC or workstation is not      properly, Monte Carlo can give quick “first cuts” at difficult
sufficient. Hence, it is very important to adopt the present code   problems, that is problems which are intractable by the
to parallel computers. Efforts are being made to parallelize the    traditional analytical or numerical techniques.
code on BARC’s ANUPAM parallel systems. Incorporation of
methods of solutions and user-friendly advanced features like       The greatest advantage of the Monte Carlo method is the exact
visualization tools etc. are being incorporated.                    simulation of the geometry. In deterministic methods only some
                                                                    special geometry can be simulated exactly, for irregular
                                                                    geometry some approximations must be considered. Monte Carlo
                                                                    method does not take any approximations in defining geometry.
                                                                    For this reason Monte Carlo method is essential for reactor
                                                                    calculations which involves complicated geometry e.g.
                                                                    Secondary shutdown system of 500 MWe PHWR, hexagonal
                                                                    geometry of CHTR, Nuclear Power Pack, Pebble bed reactors etc.
                                                                    as well as for deep penetration problems.
                                                                    The main objective is to develop a general geometry Monte Carlo
                                                                    code with burn up, which will be used for criticality calculations,
                                                                    safety evaluations, accelerator driven sub-critical system’s
                                                                    calculations, shielding calculations etc. with greater confidence
                                                                    and wider flexibility.
                                                                    Development of Random Number Generator
                                                                    Random number plays an important role in any Monte Carlo
                                                                    calculation. The accuracy of the results depends on the
                                                                    randomness of the random numbers, its uniformity and its cycle
                                                                    length.
                                                                    To provide uniform random sequences having larger cycle length
                                                                    required for Monte Carlo calculations a Random Number
                                                                    Generator (RNG) with large cycle length (2 57 ) has been
                                                                    developed using bit manipulation technique. Some of its
                                                                    properties namely uniformity, Expectation Value, Variance,
     Material layout and corresponding thermal flux
         profile at a planar cross section of an                    Frequency distribution, Auto-Correlation, Chi-square test etc.
                  LWR benchmark core                                have been performed. It was compared with RANDU of PC in
                                                                    FORTRAN, RAND of PC in Basic, RAND of Honeywell DPS-8
Anurag Gupta <anurag@barc.gov.in>                                   System and RAN of PDP-11/23 and found to be superior among
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                                                                                       Advanced Heavy Water Reactor
                                    Comparison of Auto correlation coefficient
all in respects to its randomness, cycle length, uniform                 the deliberate flattening of the power distribution. The study of
distribution etc. Correlation Coefficient of this RNG has been           the neutronic transient behaviour under accidental conditions in
compared with that of different RNGs in the Table. It is seen            such reactors requires accurate methods of solution of system
that current RNG has been much closer to the expected value              of coupled multidimensional multi energy group time
(the correlation coefficient between neighboring bits of                 dependent neutron diffusion equation. Two distinct approaches
a random sequence is expected to be zero). This RNG is ready             exist for this purpose namely; the direct (implicit time
to be used in any code, which requires large cycle of uniform            differencing) and Improved Quasistatic (IQS) approach. Both
random sequences.                                                        the approaches need solution of static space energy dependent
                                                                         neutron diffusion equations at successive time steps.
Development of 69-group spherical geometry
                                                                         A three-dimensional computer code 3D-FAST was developed
Criticality Code
                                                                         based on Incomplete LU (ILU) preconditioned Biconjugate
                                                                         Stabilized method. The code was parallelized on ANUPAM
Monte Carlo code for criticality calculation has been developed
                                                                         distributed memory parallel system. The domain decomposition
for spherical geometry with WIMS 69 group energy
                                                                         technique was used to create parallelism. The parallel
treatment. This code is being extended for AHWR/ PHWR lattice
cell with WIMS 69 group cross-section data.
Brahmananda Chakraborty <rahma@barc.gov.in>
.       Simulations of Reactivity Induced Transients
        for Thermal and Fast Reactors and Stability
        Studies
An accurate prediction of the consequences of an accident in a
nuclear reactor is vital from the reactor safety point of view. This
in turn requires the solution of coupled time-dependent neutron
diffusion equations, time-dependent heat conduction equations
and single and two phase coolant dynamics equations. All of
these require large computer memory and computational time.
Present day large-sized power reactors are neutronically loosely                                     Neutron Flux Profile
coupled. The looseness of the coupling is further enhanced by
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Advanced Heavy Water Reactor
computational scheme was tested by analyzing a well-known           disassembly of the core, which introduces sufficient negative
Canadian PHWR benchmark problem, which simulates a loss of          reactivity. The calculation of disassembly reactivity requires the
coolant accident.                                                   solution of coupled neutronics and hydrodynamics equations.
                                                                    A computer code for pre-disassembly calculations, which
The transient was simulated using two energy groups and             calculates coolant voiding, fuel melting, fuel and clad
52×52×40 meshes. Twenty-nine space and energy dependent             deformation and molten fuel slumping, is being developed.
calculations were done with time step of the order of 0.1 sec.      For the disassembly phase a computer code DISA is developed.
Table presents the CPU gain due to parallelization. The code was    This solves point kinetics equations coupled with two
        CPU times for Parallelised BiCGSTAB[ILU] for IQS Approach (e = 10 –6 )
used to analyze the inadvertent withdrawal of two control rods
along with drainage of light water from the zone controller
units (ZCUs) for 540 MWe PHWR. Figures show the variation of
reactivity and power as a function of time for this transient.
The accident analysis of fast reactors is generally carried
out in two phases. The first phase is generally called as
pre-disassembly phase and the second one as disassembly phase.
In pre-disassembly phase, the transient is analyzed up to coolant
voiding and fuel melting. The disassembly phase calculations are
carried out with reactivity rates estimated from coolant voiding
and fuel slumping. These transients are terminated by the
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                                                                                   Advanced Heavy Water Reactor
                                                                                                 code by replacing the point kinetics
                                                                                                 calculations by multidimensional,
                                                                                                 multi energy group neutron diffusion
                                                                                                 code 3D-FAST. It is also planned to
                                                                                                 couple both phase calculations.
                                                                                                 New concepts have emerged in the
                                                                                                 dynamics of nonlinear systems in last
                                                                                                 t w o d e c a d e s . A s p a r t of our
                                                                                                 nonlinear studies in reactor physics
                                                                                                 we have studied some of these issues
                                                                                                 for a typical PWR. Here the dynamics
                                                                                                 refer to a single-phase coolant using
                                                                                                 point kinetics and a feedback
                                                                                                 through fuel & coolant temperature
                                                                                                 coefficient of reactivity. Typical
                                                                                                 scenario of limit cycle reactor
                                                                                                 operation were observed as a
                                                                                                 function of coolant temperature
                                                                                                 coefficient. The temporal behaviors
                                                                                                 can be identified for certain values
                                                                                                 of this parameter.
dimensional hydrodynamics equations. Figures show the               For a specific value of coolant temperature coefficient the critical
equation of state for fuel used in DISA. The variation of net       state becomes an oscillatory state [limit cycle]. This latter state
reactivity and power as function of time for a hypothetical         constitutes a new operational regime for reactor dynamics. These
transient in a typical fast reactor are shown in figures. It is     studies contribute towards understanding safety and
planned to improve the neutronics model of pre-disassembly          performance of reactors.
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Advanced Heavy Water Reactor
                                                                    using Microsoft Visual C++. It is also possible for the WIMS-D
                                                                    library users to compare the energy dependence of cross section
                                                                    data of various nuclides, different WIMS-D libraries and different
                                                                    temperatures.
                                                                    The first version of this software ‘XnWlup1.0’ helps to obtain
                                                                    the histogram plots of the values of cross section data of an
                                                                    element/isotope as a function of energy. The second version of
                                                                    this software ‘XnWlup2.0’ is serving as an exhaustive equivalent
                                                                    handbook of WIMS-D cross section libraries for thermal reactor
                                                                    applications and used for comparing different WIMS-D
                                                                    compatible nuclear data libraries originating from various
                                                                    countries. The next version of this software ‘XnWlup3.0’ was
                                                                    developed to plot the cross sections of a resonant nuclide using
                                                                    resonance integral tabulated data of WIMS-D library for the
                                                                    given background dilution cross section and temperature. Also
                                                                    the revised software ‘XnWlup3.0’ is now capable of plotting
                                                                    either the resonance integral data as a function of dilution cross
                                                                    section for a selected temperature grid point or as a function of
                                                                    temperature for a selected dilution cross section grid point for
                                                                    a given resonance energy group.
H.P. Gupta <hpgupta@barc.gov.in>
           <hpgupta@barc.gov.in>
.      ‘XnWlup’ Software for Reactor Physics
       Applications
As a result of the IAEA coordinated research program entitled
“Final Stage of the WIMS library Update Project” new and updated
WIMS-D libraries are generated by processing evaluated nuclear
data files such as ENDF/VI.6, JENDL-3.2 and JEF-2.2. These
WIMS-D libraries provide knowledge about the various relevant
neutron-nuclear cross sections data in the form of 69/172 neutron
energy groups. In order to help the WIMS-D library users to
quickly view the plots of the energy dependence of the multi-
group cross sections of any nuclide of interest, a computer
program ‘XnWlup’ is developed for MS-Win operating system
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                                                                    Advanced Heavy Water Reactor
Illustration of plots of absorption resonance integral data of 232 Th at 600 K and for various
                              background dilution cross sections
                                                      T. K. Thiyagarajan <thiyag@barc.gov.in>
                                                                         <thiyag@barc.gov.in>
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