Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik
Doi
Abstract
Assuming a pipe-wise constant structure of the friction coefficient in
the modeling of natural gas transport through a passive network of pipes via
semilinear systems of balance laws with associated linear coupling and
boundary conditions, uncertainty in this parameter is quantified by a Markov
chain Monte Carlo method. Here, information on the prior distribution is
obtained from practitioners. The results are applied to the problem of
validating technical feasibility under random exit demand in gas transport
networks. In particular, the impact of quantified uncertainty to the
probability level of technical feasible exit demand situations is studied by
two example networks of small and medium size. The gas transport of the
network is modeled by stationary solutions that are steady states of the time
dependent semilinear problems