scholarly journals PowerSystems.jl — A power system data management package for large scale modeling

SoftwareX ◽  
2021 ◽  
Vol 15 ◽  
pp. 100747
Author(s):  
José Daniel Lara ◽  
Clayton Barrows ◽  
Daniel Thom ◽  
Dheepak Krishnamurthy ◽  
Duncan Callaway
Keyword(s):  
Power System ◽  
Data Management ◽  
Large Scale ◽  
Scale Modeling ◽  
System Data ◽  
Large Scale Modeling

scholarly journals Large-Scale Modeling of Multispecies Acute Toxicity End Points Using Consensus of Multitask Deep Learning Methods

2021 ◽  
Vol 61 (2) ◽  
pp. 653-663
Author(s):  
Sankalp Jain ◽  
Vishal B. Siramshetty ◽  
Vinicius M. Alves ◽  
Eugene N. Muratov ◽  
Nicole Kleinstreuer ◽  
...  
Keyword(s):  
Deep Learning ◽  
Acute Toxicity ◽  
Large Scale ◽  
Learning Methods ◽  
End Points ◽  
Scale Modeling ◽  
Large Scale Modeling

scholarly journals Large scale modeling of the transport, chemical transformation and mass budget of the sulfur emitted during the April 2007 eruption of Piton de la Fournaise

2011 ◽  
Vol 11 (9) ◽  
pp. 4533-4546 ◽  
Author(s):  
P. Tulet ◽  
N. Villeneuve
Keyword(s):  
Dry Deposition ◽  
Large Scale ◽  
Temporal Evolution ◽  
Active Period ◽  
General Shape ◽  
So2 Emission ◽  
Piton De La Fournaise ◽  
Scale Modeling ◽  
The Indian Ocean ◽  
Large Scale Modeling

Abstract. In April 2007, the Piton de la Fournaise volcano (Réunion island) entered into its biggest eruption recorded in the last century. Due to the absence of a sensors network in the vicinity of the volcano, an estimation of degassing during the paroxysmal phase of the event has not been performed. Nevertheless, the SO2 plume and aerosols have been observed by the OMI and CALIOP space sensors, respectively. The mesoscale chemical model MesoNH-C simulates the observed bulk mass of SO2 and the general shape of the SO2 plume spreading over the Indian Ocean. Moreover, an analysis of the SO2 plume budget estimates a total SO2 release of 230 kt, among of which 60 kt have been transformed into H2SO4. 27 kt of SO2 and 21 kt of H2SO4 have been deposited at the surface by dry deposition. With this top down approach, the temporal evolution of the SO2 emission has been estimated during the most active period of the eruption. The peak of degassing was estimated at 1800 kg s−1 in the morning of 6~April. The temporal evolution of SO2 emission presented here can also be used for local studies.

Large-Scale Modeling and Theoretical Investigation of Lateral Collisions on Elevated Piles

2012 ◽  
Vol 138 (4) ◽  
pp. 461-471 ◽  
Author(s):  
Bin Zhu ◽  
Ren-peng Chen ◽  
Jie-feng Guo ◽  
Ling-gang Kong ◽  
Yun-min Chen
Keyword(s):  
Theoretical Investigation ◽  
Large Scale ◽  
Scale Modeling ◽  
Large Scale Modeling

scholarly journals A DEPTH-INTEGRATED EQUATION FOR LARGE SCALE MODELING OF TSUNAMI IN WEAKLY COMPRESSIBLE FLUID

2014 ◽  
Vol 1 (34) ◽  
pp. 9 ◽  
Author(s):  
Ali Abdolali ◽  
Claudia Cecioni ◽  
Giorgio Bellotti ◽  
Paolo Sammarco
Keyword(s):  
Compressible Fluid ◽  
Large Scale ◽  
Scale Modeling ◽  
Weakly Compressible ◽  
Large Scale Modeling

Large-Scale Modeling of Grid-Connected Electric Vehicles

2013 ◽  
Vol 28 (2) ◽  
pp. 894-902 ◽  
Author(s):  
Johannes Rolink ◽  
Christian Rehtanz
Keyword(s):  
Electric Vehicles ◽  
Large Scale ◽  
Scale Modeling ◽  
Large Scale Modeling

scholarly journals Thermodynamic Approach to Large-Scale Modeling of Alpha-Helices in Membranes

2012 ◽  
Vol 102 (3) ◽  
pp. 490a-491a ◽  
Author(s):  
Andrei L. Lomize ◽  
Henry I. Mosberg ◽  
Irina D. Pogozheva
Keyword(s):  
Large Scale ◽  
Thermodynamic Approach ◽  
Alpha Helices ◽  
Scale Modeling ◽  
Large Scale Modeling

Investigation of a High Precision Hydrostatic Actuation System: How Nonlinearities Affect Its Performance

2007 ◽  
Author(s):  
Wei Li ◽  
Richard Burton ◽  
Saeid Habibi
Keyword(s):  
Large Scale ◽  
Linear Models ◽  
Hydraulic Actuator ◽  
Complete Understanding ◽  
Positional Accuracy ◽  
Scale Modeling ◽  
Actuation System ◽  
Order Change ◽  
Physical Limitations ◽  
Large Scale Modeling

A prototype Electro-Hydraulic Actuator (EHA) system has demonstrated a positional accuracy in the order of 100 nanometer. Linearized models of the EHA have been formulated and have shown reasonable correlation to the performance of the physical EHA. However, these models predict zero steady state error (an impossible situation given the physical limitations of seals, friction etc.). Further, the prototype EHA indicates that the cut-off frequency decreases as the amplitude of the input signal decreases. This is not predicted by the linear models. In this paper the Bond-graph large scale modeling technique was used as the basis to formulate the describing equations of the EHA. The model was made increasingly more complex by introducing observable nonlinearities into the model. It was found that the introduction of nonlinear friction did show results whose trends were consistent with those observed experimentally. Assumed nonlinearities in the bulk modulus could not be substantiated. In addition, some of the observed experimental trends could not be predicted (such as order change) and pose additional challenges to be solved before a complete understanding of the true physics of the EHA can be realized.

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