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 modele...
We introduce a stationary model for gas flow based on simplified isothermal Euler equations in a non...
This PhD thesis is centered on the opportunities and impact of demand uncertainty for the gas transp...
AbstractThe paper presents a probabilistic model to study security of supply in a gas network. The m...
Assuming a pipe-wise constant structure of the friction coefficient in the modeling of natural gas t...
Assuming a pipe-wise constant structure of the friction coefficient in the modeling of natural gas t...
The paper considers the computation of the probability of feasible load constellations in a stationa...
The inverse problem of identifying the friction coefficient in an isothermal semilinear Euler system...
We present a novel mathematical algorithm to assist gas network operators in managing uncertainty, w...
We present a novel mathematical algorithm to assist gas network operators in managing uncertainty, w...
The paper considers the computation of the probability of feasible load constellations in a stationa...
In this paper, we are concerned with the quantification of uncertainties that arise from intra-day o...
The overall objective of this work was to improve the one-dimensional models used to simulate the tr...
Various gas pipeline networks used for the transit of energy sources are some of the most important ...
We consider the gas dynamics on networks modeled by the isothermal Euler equations. The demands of...
Summary of the thesis: This thesis concerns the management of uncertainty in design and operation of...
We introduce a stationary model for gas flow based on simplified isothermal Euler equations in a non...
This PhD thesis is centered on the opportunities and impact of demand uncertainty for the gas transp...
AbstractThe paper presents a probabilistic model to study security of supply in a gas network. The m...
Assuming a pipe-wise constant structure of the friction coefficient in the modeling of natural gas t...
Assuming a pipe-wise constant structure of the friction coefficient in the modeling of natural gas t...
The paper considers the computation of the probability of feasible load constellations in a stationa...
The inverse problem of identifying the friction coefficient in an isothermal semilinear Euler system...
We present a novel mathematical algorithm to assist gas network operators in managing uncertainty, w...
We present a novel mathematical algorithm to assist gas network operators in managing uncertainty, w...
The paper considers the computation of the probability of feasible load constellations in a stationa...
In this paper, we are concerned with the quantification of uncertainties that arise from intra-day o...
The overall objective of this work was to improve the one-dimensional models used to simulate the tr...
Various gas pipeline networks used for the transit of energy sources are some of the most important ...
We consider the gas dynamics on networks modeled by the isothermal Euler equations. The demands of...
Summary of the thesis: This thesis concerns the management of uncertainty in design and operation of...
We introduce a stationary model for gas flow based on simplified isothermal Euler equations in a non...
This PhD thesis is centered on the opportunities and impact of demand uncertainty for the gas transp...
AbstractThe paper presents a probabilistic model to study security of supply in a gas network. The m...