A modified Capacitance-Resistive Model for estimating waterflood performance

2014 ◽  
pp. 1115-1117
Author(s):  
W Sun ◽  
H Chen ◽  
M Zhou ◽  
Z Miao
Keyword(s):  
Resistive Model

Resistive Model of Synchronous Machines

2019 ◽  
Author(s):  
Nurzat D. Taabaldiyeva ◽  
Telegen A. Dzhunuev ◽  
Sirojiddin R. Chorshanbiev
Keyword(s):  
Synchronous Machines ◽  
Resistive Model

Capacitance Resistive Model Application to Optimize Waterflood in a West Texas Field

2011 ◽  
Author(s):  
Anh Phuong Nguyen ◽  
Leon Lasdon ◽  
Larry Wayne Lake ◽  
Thomas F. Edgar
Keyword(s):  
Model Application ◽  
West Texas ◽  
Resistive Model

Adaptation of a resistive model to pesticide volatilization from plants at the field scale: Comparison with a dataset

2014 ◽  
Vol 83 ◽  
pp. 260-268 ◽  
Author(s):  
Nebila Lichiheb ◽  
Erwan Personne ◽  
Carole Bedos ◽  
Enrique Barriuso
Keyword(s):  
Field Scale ◽  
Resistive Model

Electric Vehicle Charging Station Load Forecasting and Impact of the Load Curve

2012 ◽  
Vol 229-231 ◽  
pp. 853-858 ◽  
Author(s):  
Jian Wang ◽  
Kui Hua Wu ◽  
Feng Wang ◽  
Zhi Hui Li ◽  
Qing Song Niu ◽  
...  
Keyword(s):  
Power Grid ◽  
Paper Briefly ◽  
Load Curve ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Charging Mode ◽  
Resistive Model ◽  
Coordinated Charging ◽  
Charging Stations ◽  
Daily Load

With the popularity of electric vehicles, a large number of charging stations connected to the grid, will bring about tremendous influence on the power, voltage and current of grid. This paper briefly introduces several common types of charging mode, and analyzes the characteristics of them. According to statistics, a resistive model of charging stations, simulating the regional power grid with a IEEE34 node model, has been established to forecast the daily load curve, using Monte Carlo simulation. An analysis is performed for a power grid to demonstrate the impacts of the daily load curve considering different power of charging stations, which are under coordinated charging conditions, to indicate the harm of uncoordinated charging and put forward solutions.

Influence of hemodynamic conditions on fractional flow reserve: parametric analysis of underlying model

2002 ◽  
Vol 283 (4) ◽  
pp. H1462-H1470 ◽  
Author(s):  
Maria Siebes ◽  
Steven A. J. Chamuleau ◽  
Martijn Meuwissen ◽  
Jan J. Piek ◽  
Jos A. E. Spaan
Keyword(s):  
Fractional Flow Reserve ◽  
Aortic Pressure ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Stenosis Severity ◽  
In Series ◽  
Resistive Model ◽  
Epicardial Stenosis ◽  
Microvascular Resistance ◽  
Diameter Reduction

Pressure-based fractional flow reserve (FFR) is used clinically to evaluate the functional severity of a coronary stenosis, by predicting relative maximal coronary flow (Qs/Qn). It is considered to be independent of hemodynamic conditions, which seems unlikely because stenosis resistance is flow dependent. Using a resistive model of an epicardial stenosis (0–80% diameter reduction) in series with the coronary microcirculation at maximal vasodilation, we evaluated FFR for changes in coronary microvascular resistance ( R cor= 0.2–0.6 mmHg · ml−1 · min), aortic pressure (Pa = 70–130 mmHg), and coronary outflow pressure (Pb = 0–15 mmHg). For a given stenosis, FFR increased with decreasing Pa or increasing R cor. The sensitivity of FFR to these hemodynamic changes was highest for stenoses of intermediate severity. For Pb > 0, FFR progressively exceeded Qs/Qn with increasing stenosis severity unless Pb was included in the calculation of FFR. Although the Pb-corrected FFR equaled Qs/Qn for a given stenosis, both parameters remained equally dependent on hemodynamic conditions, through their direct relationship to both stenosis and coronary resistance.

Sign in / Sign up

Export Citation Format

Share Document