TY - JOUR A1 - Kreimeier, Timo A1 - Kuchlbauer, Martina A1 - Liers, Frauke A1 - Stingl, Michael A1 - Walther, Andrea T1 - Towards the Solution of Robust Gas Network Optimization Problems Using the Constrained Active Signature Method N2 - This work studies robust gas network optimization under uncertainties in demand and in the physical parameters. The corresponding optimization problems are nonconvex in node pressures and flows along the pipes. They are thus very difficult to solve for realistic instance sizes. In recent approaches, an adaptive bundle method has been developed, where one solves the occurring adversarial problems via iteratively refined piecewise linear relaxations. These subproblems need to be solved always from scratch using mixed-integer linear programming (MIP). As alternative to the MIP solver, we employ here a nonsmooth optimization approach that allows a warm start strategy such that it can profit from the results obtained for coarser relaxations. We evaluate the approach for realistic gas network topologies and outline possibilities for future research. Y1 - 2021 UR - https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/448 ER -