scholarly journals Optimal predictive control of water transport systems: Arrêt-Darré/Arros case study

2009 ◽  
Vol 60 (8) ◽  
pp. 2125-2133 ◽  
Author(s):  
V. Puig ◽  
J. Romera ◽  
J. Quevedo ◽  
C. M. Cardona ◽  
A. Salterain ◽  
...  
Keyword(s):  
Optimal Control ◽  
Control Point ◽  
River System ◽  
Transport Systems ◽  
Saint Venant Equations ◽  
Control Objective ◽  
Dynamic Simulator ◽  
Southwest Region ◽  
Optimal Predictive Control

This paper proposes the use of predictive optimal control as a suitable methodology to manage efficiently transport water networks. The predictive optimal controller is implemented using MPC control techniques. The Arrêt-Darré/Arros dam-river system located in the Southwest region of France is proposed as case study. A high-fidelity dynamic simulator based on the full Saint-Venant equations and able to reproduce this system is developed in MATLAB/SIMULINK to validate the performance of the developed predictive optimal control system. The control objective in the Arrêt-Darré/Arros dam-river system is to guarantee an ecological flow rate at a control point downstream of the Arrêt-Darré dam by controlling the outflow of this dam in spite of the unmeasured disturbances introduced by rainfalls incomings and farmer withdrawals.

scholarly journals Sustainable Transport in the Danube Region

2021 ◽  
Vol 13 (12) ◽  
pp. 6797
Author(s):  
Peter Mako ◽  
Andrej Dávid ◽  
Patrik Böhm ◽  
Sorin Savu
Keyword(s):  
Water Transport ◽  
Fossil Fuels ◽  
Environmentally Friendly ◽  
Road Transport ◽  
Transport Systems ◽  
Main Question ◽  
Inland Water ◽  
Danube Region ◽  
Inland Water Transport

Sustainability of transport systems is a key issue in transport. The main question is whether high levels of road and railway transport in areas along navigable waterways is an effective solution for this issue. The Danube waterway is an example. Generally, it is not observed that traffic performance is not as high as on the Rhine. This paper deals with the revelation of the available capacity of this waterway based on approximation functions and their comparison with real transport performances. This methodology points to the level of use of waterways. The connection of this model with the production of fossil fuels creates a basis for a case study. The case study in this paper offers a possibility for a sustainable and environmentally friendly transition from road transport to inland water transport on the example of specific transport routes. The main contribution of this paper is a presentation of the application of sustainable models of use transport capacity to increase the share of environmentally friendly and sustainable inland water transport. The conclusion based on the case study and materials is that the available capacity of inland water transport on the Danube could support the transition of traffic performances to sustainable and environmentally friendly means of transport.

Evaluation of catchment hydrology and soil loss in non-perennial river system: a case study of Subarnarekha Basin, India

2021 ◽  
Author(s):  
Rituparna Acharyya ◽  
Niloy Pramanick ◽  
Subham Mukherjee ◽  
Subhajit Ghosh ◽  
Abhra Chanda ◽  
...  
Keyword(s):  
Soil Loss ◽  
River System ◽  
Catchment Hydrology ◽  
System A

scholarly journals Performance assessment of alternative SSS networks by combining KPIs and factor-cluster analysis

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Patrizia Serra ◽  
Gianfranco Fancello
Keyword(s):  
Cluster Analysis ◽  
Performance Assessment ◽  
Decision Support Tool ◽  
Transport Systems ◽  
Quantitative Methodology ◽  
Support Tool ◽  
Performance Benchmarking ◽  
Relevant Variables ◽  
Quantitative Results

Abstract Performance assessment is a fundamental tool to successfully monitor and manage logistics and transport systems. In the field of Short Sea Shipping (SSS), the performance of the various maritime initiatives should be analyzed to assess the best way to achieve efficiency and guide related policies. This study proposes a quantitative methodology which can serve as a decision-support tool in the preliminary assessment and comparison of alternative SSS networks. The research is executed via a Mediterranean case study that compares a hypothetical Mediterranean ro-ro SSS network developed in the framework of a past Euro-Mediterranean cooperation project with the network of existing ro-ro liner services operating in the area. Performance benchmarking of the two networks is performed using a set of quantitative Key Performance Indicators (KPIs) and applying a factor-cluster analysis to produce homogeneous clusters of services based on the relevant variables while accounting for sample heterogeneity. Quantitative results mostly confirm the overall better performance of the prospective network and demonstrate that using KPIs and factor-cluster analysis to investigate the performance of maritime networks can provide policymakers with a preliminary wealth of knowledge that can help in setting targeted policy for SSS-oriented initiatives.

scholarly journals How do changes along the risk chain affect flood risk?

2018 ◽  
Vol 18 (11) ◽  
pp. 3089-3108 ◽  
Author(s):  
Ayse Duha Metin ◽  
Nguyen Viet Dung ◽  
Kai Schröter ◽  
Björn Guse ◽  
Heiko Apel ◽  
...  
Keyword(s):  
Land Use ◽  
Sensitivity Analysis ◽  
Influencing Factors ◽  
Flood Risk ◽  
River System ◽  
Drivers Of Change ◽  
Damage Mechanisms ◽  
Atmospheric Processes ◽  
Case Study Area

Abstract. Flood risk is impacted by a range of physical and socio-economic processes. Hence, the quantification of flood risk ideally considers the complete flood risk chain, from atmospheric processes through catchment and river system processes to damage mechanisms in the affected areas. Although it is generally accepted that a multitude of changes along the risk chain can occur and impact flood risk, there is a lack of knowledge of how and to what extent changes in influencing factors propagate through the chain and finally affect flood risk. To fill this gap, we present a comprehensive sensitivity analysis which considers changes in all risk components, i.e. changes in climate, catchment, river system, land use, assets, and vulnerability. The application of this framework to the mesoscale Mulde catchment in Germany shows that flood risk can vary dramatically as a consequence of plausible change scenarios. It further reveals that components that have not received much attention, such as changes in dike systems or in vulnerability, may outweigh changes in often investigated components, such as climate. Although the specific results are conditional on the case study area and the selected assumptions, they emphasize the need for a broader consideration of potential drivers of change in a comprehensive way. Hence, our approach contributes to a better understanding of how the different risk components influence the overall flood risk.

scholarly journals Automated optimal flight planning based on the aircraft intent description language

2018 ◽  
Vol 233 (3) ◽  
pp. 928-948
Author(s):  
Daniel González-Arribas ◽  
Manuel Soler ◽  
Javier López-Leonés ◽  
Enrique Casado ◽  
Manuel Sanjurjo-Rivo
Keyword(s):  
Optimal Control ◽  
Traffic Management ◽  
Modular Design ◽  
Air Traffic Management ◽  
Generation Process ◽  
Trajectory Prediction ◽  
Description Language ◽  
Traffic Management System ◽  
Automated Tools

The future air traffic management system is to be built around the notion of trajectory-based operations. It will rely on automated tools related to trajectory prediction in order to define, share, revise, negotiate and update the trajectory of the aircraft before and during the flight, in some case, in near real time. This paper illustrates how existing standards on trajectory description such as the aircraft intent description language can be enhanced including optimisation capabilities based on numerical optimal control. The Aircraft Intent Description Language is a formal language that has been created in order to describe aircraft intent information in a rigorous, unambiguous and flexible manner. It has been implemented in a platform for a modular design of the trajectory generation process. A case study is presented to explore its effectiveness and identify the requirements and needs to generate optimised aircraft intents with higher automation and flexibility. Preliminary results show the suitability of numerical optimal control to design optimised aircraft intents based on the aircraft intent description language.

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