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Decision support for technical design of on-the-spot renewable energy projects involving several stakeholders
Published in Gilles Debizet, Marta Pappalardo, Frédéric Wurtz, Local Energy Communities, 2023
Jaume Fitó, Sacha Hodencq, Lou Morriet, Julien Ramousse, Frédéric Wurtz, Gilles Debizet
Two spaces can be distinguished in the field of physical system modelling, and in particular energy modelling: The dynamic simulation space, where the temporal evolution of the physical system is described systematically by differential equations and state variables. In this space, the operation of the system is imposed in its parametrization; the aim is to produce a quality physical simulation that describes the real behaviour of the system.The optimization space, where the physical system is described in the form of an optimization problem through objectives and constraints, due to optimization variables and fixed parameters. The purpose in such a space is to determine the operation and/or the sizing of the physical system. In this space, a multitude of possible solutions to the optimization problem is explored.
Consequences of flooding: Comparing different quantitative methods for estimating Loss of Life (LOL)
Published in Jean-Pierre Tournier, Tony Bennett, Johanne Bibeau, Sustainable and Safe Dams Around the World, 2019
J. Perdikaris, W. Kettle, R. Zhou
Simulation of such a system is not practical using analytical tools. A systems approach provides a means of analyzing how all inter-related components behave as a whole and the analysis was undertaken using a dynamic simulation-modeling framework. For instance, 1,000,000 years of climate information (precipitation, maximum and minimum temperatures) was simulated using the WeaGETS (Caron, et al, 2010) single-site stochastic weather generator. A calibrated hydrologic model, US Army of Corps of Engineers Hydrologic Engineering Centre Hydrologic Modeling System (HEC-HMS) was used to simulate 10,000 years of daily inflows from individual sub-basins. Failures of other third-party dams caused by overtopping and the effects on outflows from local sub-basins included in the simulation. In addition, extreme spring and summer flood events with return periods greater than 10,000 years were simulated using the HEC-HMS model. The GoldSIM dynamic simulation model was used to simulate the various system components of the dam(s) including the gates, stop logs, turbines and the rule operations curves and decision making processes of the various dam(s) and generating stations. Dynamic simulation is based on a mathematical representation that describes the physical system behavior and dynamics of the various system components. This approach to dam safety allows dam owners to identify hazards within their infrastructure that are not discernable and a means to better allocate resources.
Frequency Response of Multibody Systems
Published in Mingjun Xie, Flexible Multibody System Dynamics—Theory and Applications, 2017
To perform a dynamic simulation of a system is to construct a mathematical model of the system and, by examining the behavior of the model under various conditions, to determine how a real system would behave if and when it is built. Mathematical modeling of a system means formulating mathematical relationships that describe the essential features of the system, i.e., all those features believed to have a significant effect on the behavior of the physical system being modeled [1–8]. Examples are evaluating the ride comfort experienced by passengers on a railway vehicle and estimating the response of a robotic manipulator excited by an external object. For the first case, the corresponding dynamic model will lead to a set of equations describing the planar motion in the vertical plane of symmetry containing the vehicle’s longitudinal axis. For the second case, we can consider the impact force as an input. This will enable us to investigate the output of the manipulator at certain points, such as joints.
Design and simulation of a controller for an active suspension system of a rail car
Published in Cogent Engineering, 2018
I. A Daniyan, K. Mpofu, D. F. Osadare
This research methodology utilizes a simulation design via the use of MATLAB-Simulink to investigate the suspension system behaviour. The main reason for employing dynamic simulation is that it can easily and adequately study the behaviour of a system during the design stage before development of the real system. The dynamic simulation involves several steps. The first step is the modelling process where a schematic diagram of suspension is sketched based upon the real system of suspension. Then, the system is represented in MATLAB-Simulink based on the equation of motion created from the schematic diagram. The bogie of a rail car is shown in Figure 1.