scholarly journals Evaluation of a Coupled Modeling Approach for the Investigation of the Effects of SST Mesoscale Variability on the Atmosphere

2021 ◽  
Author(s):  
Istvan Szunyogh ◽  
Eric Forinash ◽  
Gyorgyi Gyarmati ◽  
Yinglai Jia ◽  
Ping Chang ◽  
...  
Keyword(s):  
Mesoscale Variability ◽  
Coupled Modeling ◽  
Modeling Approach

scholarly journals Evaluation of a Coupled Modeling Approach for the Investigation of the Effects of SST Mesoscale Variability on the Atmosphere

2020 ◽  
Author(s):  
Istvan Szunyogh ◽  
Eric Forinash ◽  
Gyorgyi Gyarmati ◽  
Yinglai Jia ◽  
Ping Chang ◽  
...  
Keyword(s):  
Mesoscale Variability ◽  
Coupled Modeling ◽  
Modeling Approach

scholarly journals A Coupled Modeling Approach for Water Management in a River–Reservoir System

2019 ◽  
Vol 16 (16) ◽  
pp. 2949 ◽  
Author(s):  
Zhenyu Zhang ◽  
Jinliang Huang ◽  
Min Zhou ◽  
Yaling Huang ◽  
Yimin Lu
Keyword(s):  
Water Management ◽  
Water Quality ◽  
Water Resource Management ◽  
Water Movement ◽  
Hydrodynamic Characteristics ◽  
Watershed Model ◽  
Coupled Modeling ◽  
Reservoir System ◽  
Modeling Approach ◽  
River Reservoir

A coupled model is an effective tool to understand the nutrient fate associated with hydrodynamic and ecosystem processes and thereby developing a water resource management strategy. This paper presents a coupled modeling approach that consists of a watershed model and a hydrodynamic model to evaluate the nutrient fate in a river–reservoir system. The results obtained from the model showed a good agreement with field observations. The results revealed that the Shuikou reservoir (Fuzhou, China)exhibited complicated hydrodynamic characteristics, which may induce the pattern of nutrient export. Reservoirs can greatly lower water quality as a result of decreasing water movement. Three scenarios were analyzed for water management. The NH3-N (Ammonia Nitrogen) decreased sharply in the outlet of Shuikou reservoir after NH3-N level in its tributary was reduced. After removing the farming cages, the water quality of the outlet of Shuikou reservoir was improved significantly. The DO (Dissolved Oxygen) had increased by 3%–10%, NH3-N had reduced by 5%–17%, and TP (Total Phosphorus) had reduced by 6%–21%. This study demonstrates that the proposed coupled modeling approach can effectively characterize waterway risks for water management in such a river–reservoir system.

scholarly journals Spatial Distribution of Sediment Quality in Tokyo Bay through Benthic-Pelagic Coupled Modeling Approach

2015 ◽  
Vol 71 (2) ◽  
pp. I_1399-I_1404 ◽  
Author(s):  
A. A. W. R. R. M. K. AMUNUGAMA ◽  
Jun SASAKI ◽  
Yoshiyuki NAKAMURA ◽  
Takayuki SUZUKI
Keyword(s):  
Spatial Distribution ◽  
Sediment Quality ◽  
Tokyo Bay ◽  
Coupled Modeling ◽  
Modeling Approach

A Vibration and Movement Coupled Modeling Approach of 3 DOF Flexible Joint Manipulators

2011 ◽  
Vol 383-390 ◽  
pp. 5632-5639
Author(s):  
Wei Zhuang ◽  
Yong Hua Huang
Keyword(s):  
Force Balance ◽  
Joint Surface ◽  
Dynamic Parameters ◽  
Coupled Modeling ◽  
Flexible Joint ◽  
Displacement Boundary ◽  
Modeling Approach ◽  
Joint Contact ◽  
General Force ◽  
Joint Vibration

In order to identify joint contact dynamic parameters of 3 DOF flexible joint manipulators, a vibration and movement coupled modeling approach of the manipulators was proposed. Combining the traveling wave approach of structure and the rotation transformation matrix of joint, the waveguide equations of mechanism were established. Considering the conditions of the general force balance and displacement boundary of each joint, vibration excitation of the system in moving states were obtained. Vibration equations were achieved according to the derived vibration torques and torsional vibration angles. The contact dynamic parameters of joint surface can be identified by using the vibration and movement coupled equation derived in this paper.

scholarly journals Performance analysis of rigorous coupled-wave analysis and its integration in a coupled modeling approach for optical simulation of complete heterojunction silicon solar cells

2018 ◽  
Vol 9 ◽  
pp. 2315-2329 ◽  
Author(s):  
Ziga Lokar ◽  
Benjamin Lipovsek ◽  
Marko Topic ◽  
Janez Krc
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Optical Simulation ◽  
Wave Analysis ◽  
Coupled Modeling ◽  
Modeling Approach ◽  
Rigorous Coupled Wave Analysis ◽  
Si Solar Cells ◽  
Rigorous Coupled Wave ◽  
Coupled Wave

A variety of light management structures have been introduced in solar cells to improve light harvesting and further boost their conversion efficiency. Reliable and accurate simulation tools are required to design and optimize the individual structures and complete devices. In the first part of this paper, we analyze the performance of rigorous coupled-wave analysis (RCWA) for accurate three-dimensional optical simulation of solar cells, in particular heterojunction silicon (HJ Si) solar cells. The structure of HJ Si solar cells consists of thin and thick layers, and additionally, micro- and nano-textures are also introduced to further exploit the potential of light trapping. The RCWA was tested on the front substructure of the solar cell, including the texture, thin passivation and contact layers. Inverted pyramidal textures of different sizes were included in the simulations. The simulations rapidly converge as long as the textures are small (in the (sub)micrometer range), while for larger microscale textures (feature sizes of a few micrometers), this is not the case. Small textures were optimized to decrease the reflectance, and consequently, increase the absorption in the active layers of the solar cell. Decreasing the flat parts of the texture was shown to improve performance. For simulations of structures with microtextures, and for simulations of complete HJ Si cells, we propose a coupled modeling approach (CMA), where the RCWA is coupled with raytracing and the transfer matrix method. By means of CMA and nanotexture optimization, we show the possible benefits of nanotextures at the front interface of HJ Si solar cells, demonstrating a 13.4% improvement in the short-circuit current density with respect to the flat cell and 1.4% with respect to the cell with double-sided random micropyramids. We additionally demonstrate the ability to simulate a combination of nano- and microtextures at a single interface, although the considered structure did not show an improvement over the pyramidal textures.

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