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CHAPTER 9<br />

SAFETY RESEARCH INSTITUTE<br />

Research activities in the following areas are being<br />

pursued at AERB’s Safety Research Institute (SRI),<br />

Kalpakkam.<br />

l Nuclear Safety Studies.<br />

l Reactor Physics Studies.<br />

l Radiological Safety Studies.<br />

l Environmental Safety Studies.<br />

9.1 NUCLEAR SAFETY STUDIES<br />

9.1.1 Seismic Re-evaluation of FBTR<br />

For seismic re-evaluation of FBTR, a criteria<br />

document was developed consistent with the<br />

internationally accepted practices. This document also<br />

describes the methodology to be adopted for carrying out<br />

seismic re-evaluation and the different tasks involved in the<br />

exercise and interfaces with the different activities. Work<br />

was also undertaken to identify the frontline systems and<br />

support systems that perform safety functions in case of a<br />

seismic event. This will involve identification of (a) the safe<br />

shutdown path, (b) systems for maintaining the plant in<br />

the safe shutdown condition and decay heat removal and<br />

(c) systems to maintain containment integrity. To meet this<br />

objective, a list of 19 Initiating Events (IEs) for the<br />

functions found to be most important for seismic induced<br />

core melt was identified. The frontline and support systems<br />

that perform safety functions for each of the initiating event<br />

were also identified and the corresponding fault trees were<br />

developed based on the system functions. A total of about<br />

90 fault trees for 19 event trees of IEs were developed as<br />

part of this activity. Further work is in progress.<br />

9.1.2 Functional Reliability Analysis of Safety<br />

Grade Decay Heat Removal System<br />

(SGDHRS) of PFBR<br />

As part of the PFBR level-1 PSA activity,<br />

evaluation of functional reliability analysis of SGDHRS has<br />

been carried out. A list of critical parameters with reference<br />

to initiating event groups that will have significant impact<br />

on the mission success was prepared. Sensitivity analysis<br />

was carried out for some of the parameters and these<br />

parameters were ranked according to their importance. Each<br />

of the selected parameters was assigned suitable<br />

probability distribution and ranges of variation and a<br />

functional reliability analysis of SGDHRS was carried out.<br />

Uncertainty in the parameters was assessed using 1D plant<br />

dynamics computer code, DHDYN. From a set of 50 runs<br />

of the computer code, a multi response surface for 3<br />

important responses was constructed. A large number of<br />

Monte Carlo simulations were conducted using the response<br />

surface model to estimate the functional failure probability<br />

of SGDHRS. The probability of functional failure of<br />

SGDHRS (on natural convection) is found to be<br />

dependent on the number and duration of sodium loop<br />

availability during the initial few hours of mission of<br />

operation of SGDHRS.<br />

The SGDHRS fails a) due to component failures<br />

in the system OR b) due to failure of forced convection<br />

AND functional failure. That is,<br />

λ SGDHR-TOT =<br />

∑ i<br />

f i<br />

* ( P Comp,i<br />

+ P FUN-F,i<br />

* P FC<br />

) ,<br />

w<strong>here</strong> f i<br />

is number of demands per year of type i for DHR,<br />

P Comp,i<br />

is the probability of failure of SGDHR due to<br />

component failures for initiating event i, and P FUN-F,i<br />

is the<br />

functional failure probability for initiating event of type i,<br />

P FC<br />

is the failure probability of forced convection. The<br />

integrated failure frequency of SGDHRS with both<br />

functional and component failures is found to be 2.1E-7/y.<br />

9.1.3 Development of Database on Fast Reactor<br />

Components<br />

The development of database on failure rates for<br />

fast reactor components was continued. So far failure data<br />

have been collected for about 3000 components and stored<br />

in the database. The data is stored and retrieved from a<br />

relational database system. The application can be used to<br />

obtain a suitable failure rate for a given component<br />

specification, viz., category, group. The module to<br />

combine the operating experience with the stored data and<br />

estimation of the posterior failure data using Bayesian<br />

technique has been completed. While the security of the<br />

database is ensured, user interface is made available to<br />

retrieve component reliability information over the IGCAR<br />

intranet.<br />

9.2 REACTOR PHYSICS STUDIES<br />

9.2.1 PWR Physics Analysis<br />

In continuation of the work initiated last year on<br />

the development of expertise in PWR physics analysis and<br />

fuel management strategy (taken up in collaboration with<br />

Reactor Physics Design Division (RPDD) /BARC and<br />

NPCIL), the computer code system, EXCEL &<br />

TRIHEX-FA along with 172-energy groups IAEAGX/<br />

ENDFB6GX cross section libraries in WIMS-D format,<br />

developed at Light Water Reactor Physics Section (LWRPS),<br />

RPDD, BARC, have been acquired and commissioned at<br />

SRI. Few groups lattice database has been generated using<br />

EXCEL code for all types of fuel assemblies of KKNPP.<br />

Core physics analysis for the proposed 8 fuel cycles of<br />

KK-NPP was carried out with TRIHEX-FA code using the<br />

aforementioned lattice database. The results of the<br />

analysis include critical soluble boron concentration, 3D<br />

distribution of power, burn-up, fuel/coolant temperature,<br />

coolant density, reactivity coefficients and kinetics<br />

parameters of core average delayed neutron fraction ‘β’,<br />

prompt neutron mean life time ‘l’ and the material<br />

52

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