scholarly journals Reply to discussion on ‘A reduced-order model for the regeneration of surface currents in Gorgan Bay. Iran [Journal of Hydroinformatics 20(6), 1419–1435, https://doi.org/10.2166/hydro.2018.149]’ by Georgios M. Horsch and Nikolaos Th. Fourniotis

2019 ◽  
Vol 22 (2) ◽  
pp. 455-456
Author(s):  
Roohollah Noori ◽  
Jan Franklin Adamowski ◽  
Mohammad Hassan Ranjbar ◽  
Hassan Kheirabadi ◽  
Jamal M. V. Samani ◽  
...  
Keyword(s):  
Reduced Order Model ◽  
Surface Currents ◽  
Order Model ◽  
Reduced Order ◽  
Gorgan Bay

scholarly journals A reduced-order model for the regeneration of surface currents in Gorgan Bay, Iran

2018 ◽  
Vol 20 (6) ◽  
pp. 1419-1435 ◽  
Author(s):  
Hassan Kheirabadi ◽  
Roohollah Noori ◽  
Jamal M. V. Samani ◽  
Jan Franklin Adamowski ◽  
Mohammad Hassan Ranjbar ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Reduction Technique ◽  
Reduced Order Model ◽  
Surface Currents ◽  
Order Model ◽  
Reduced Order ◽  
Simulated Surface ◽  
Gorgan Bay ◽  
Data Reduction Technique ◽  
Proper Orthogonal

Abstract This study developed a hydrodynamic reduced-order model (ROM) to regenerate surface currents in Gorgan Bay, Iran. The developed ROM was based on linking a three-dimensional hydrodynamic model, MIKE3-FM, with a data reduction technique, proper orthogonal decomposition (POD). The MIKE3-FM model was first run to simulate surface currents in the bay under a real wind scenario for two years starting July 1, 2010. Thereafter, time and space steps of 6 hours and 500 m, respectively, were chosen to capture 2,920 snapshots of the simulated surface currents using the MIKE3-FM model on 1,937 grids in the bay. The snapshots were then used as input for the POD model to develop the ROM. By applying the POD on the snapshots, necessary spatial and temporal components of surface currents used to develop the ROM were calculated. Having spatial and temporal terms, two ROMs for regeneration of surface currents U and V in two directions x and y, respectively, were developed. Analysis of ROM results revealed they accurately regenerated surface currents using only the first ten modes (among 2,920 modes). Comparison of MIKE3-FM and ROMs developed by the first ten modes revealed there were only negligible differences between their results when they simulated and regenerated, respectively, U and V, in the bay.

Model Order Reduction of Transmission Line Model

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Transmission Line ◽  
Large Scale ◽  
Original System ◽  
Reduced Order Model ◽  
Benchmark Problems ◽  
Transmission Line Model ◽  
Order Model ◽  
Line Model ◽  
Reduced Order ◽  
Numerical Effort

Transmission Line model are an important role in the electrical power supply. Modeling of such system remains a challenge for simulations are necessary for designing and controlling modern power systems.In order to analyze the numerical approach for a benchmark collection Comprehensive of some needful real-world examples, which can be utilized to evaluate and compare mathematical approaches for model reduction. The approach is based on retaining the dominant modes of the system and truncation comparatively the less significant once.as the reduced order model has been derived from retaining the dominate modes of the large-scale stable system, the reduction preserves the stability. The strong demerit of the many MOR methods is that, the steady state values of the reduced order model does not match with the higher order systems. This drawback has been try to eliminated through the Different MOR method using sssMOR tools. This makes it possible for a new assessment of the error system Offered that the Observability Gramian of the original system has as soon as been thought about, an H∞ and H2 error bound can be calculated with minimal numerical effort for any minimized model attributable to The reduced order model (ROM) of a large-scale dynamical system is essential to effortlessness the study of the system utilizing approximation Algorithms. The response evaluation is considered in terms of response constraints and graphical assessments. the application of Approximation methods is offered for arising ROM of the large-scale LTI systems which consist of benchmark problems. The time response of approximated system, assessed by the proposed method, is also shown which is excellent matching of the response of original system when compared to the response of other existing approaches .

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