Author(s): Eric Duviella, Arnaud Doniec, Houda Nouasse, Franck Tempet
Linked Author(s): Eric Duviella
Keywords: Inland waterways, climate change, water management, constraint satisfaction problem, quadratic optimization
Abstract: The domains of inland waterway transport and water resource management are two issues requiring a joint study. On one side, transport logistic approaches integrate multimodal solutions where inland navigation has more and more importance. On other side, researches on water resource consist of increasing the knowledge on hydraulic phenomena, on the impacts of global change, and in improving water resource management strategies to accommodate the navigation. It consists of controlling hydraulic structures of inland waterways to allocate available water resource amongst the network and thus keeping water levels close to their objective. An adaptive allocation planning of water resource has been proposed firstly to optimize the water allocation over a given management horizon and secondly to determine the resilience of inland navigation networks against the increase of navigation demand, drought and flood events, i. e. their capacity to allow the navigation. The optimal water allocation techniques can be designed as CSP (Constraint Satisfaction Problems) or QOP (Quadratic Optimization Problems). CSP consist of finding values in a finite domain with respect to a finite set of constraints. As alternative, QOP are considered as continuous domain. Both approaches are based on a dynamic directed flow graph. The main objective of this paper is to present simulation architecture on Matlab/Simulink dedicated to the implementation and test of CSP and QSP approaches. A real sub-network of inland waterways in the north of France that would be subjected to climate hazards and increase of the navigation demand should be considered. The design and implemention step of both approaches are described
Year: 2017