GATEWAY Demonstrations: LED System Performance in a Trial Installation--One Year Later, Yuma Border Patrol, Yuma, Arizona

2015 ◽  
Author(s):  
A. M. Wilkerson ◽  
R. G. Davis
Keyword(s):  
System Performance ◽  
Border Patrol ◽  
One Year

Nemiah Valley Photovoltaic-Diesel Mini-Grid: System Performance and Fuel Saving Based on One Year of Monitored Data

2012 ◽  
Vol 3 (1) ◽  
pp. 167-175 ◽  
Author(s):  
Sophie Pelland ◽  
Dave Turcotte ◽  
George Colgate ◽  
Andrew Swingler
Keyword(s):  
System Performance ◽  
Fuel Saving ◽  
Grid System ◽  
One Year

Acceptance Ratio Analysis in Grid-Connected Photovoltaic System: Is There Any Difference Between DC and AC?

2021 ◽  
Vol 30 (1) ◽  
pp. 221-233
Author(s):  
Fatin Azirah Mohd Shukor ◽  
Hedzlin Zainuddin ◽  
Jasrul Jamani Jamian ◽  
Nurmalessa Muhammad ◽  
Farah Liyana Muhammad Khir ◽  
...  
Keyword(s):  
System Performance ◽  
Performance Status ◽  
Photovoltaic System ◽  
Performance Ratio ◽  
Acceptance Test ◽  
Acceptance Ratio ◽  
Percentage Difference ◽  
Ac Power ◽  
Significant Difference ◽  
One Year

The performance status of a grid-connected photovoltaic (GCPV) system is denoted by performance indices, namely performance ratio, capacity factor, and even through power acceptance ratio (AR), as documented in Malaysia Standard (MS) procedures for acceptance test of GCPV testing and commissioning (TNC). Even though AR analysis can be either on the DC or AC side, the MS TNC procedures implemented analysis on the AC side. Therefore, the question arises whether there is any significant difference when using AC AR analysis compared to DC AR analysis in evaluating the system performance. Thus, this paper evaluates the differences between applying DC AR analysis and AC AR analysis in accessing the performance of the ten kWp GCPV system in Malaysia. The AR analytical analysis employed the 2019 one-year historical data of solar irradiance, module temperature, DC power, and AC power. The results demonstrated that the monthly AC AR were consistently lower than DC AR with a percentage difference of approximately 3%. The percentage discrepancy was due to the variation of actual inverter efficiencies compared to the declared constant value by the manufacturer used in the AR prediction model. These findings have verified a significant difference between DC AR analysis and AC AR analysis. Most importantly, this study has highlighted the significance of AC AR analysis compared to DC AR analysis as a tool to evaluate GCPV system performance because AC AR has taken an additional factor into consideration, which is the inverter efficiency variation.

scholarly journals Application of the Structure Function in the Evaluation of the Human Factor in Healthcare

Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 93
Author(s):  
Elena Zaitseva ◽  
Vitaly Levashenko ◽  
Jan Rabcan ◽  
Emil Krsak
Keyword(s):  
Structure Function ◽  
Medical Error ◽  
System Performance ◽  
Human Factor ◽  
Uncertain Data ◽  
Human Reliability Analysis ◽  
Performance Levels ◽  
New Device ◽  
Incomplete And Uncertain Data ◽  
One Year

A structure function is one of the possible mathematical models of systems in reliability engineering. A structure function maps sets of component states into system performance levels. Methods of system reliability evaluation based on structure function representation are well established. A structure function can be formed based on completely specified data about system behavior. Such data for most real-world systems are incomplete and uncertain. The typical example is analysis and evaluation of the human factor. Therefore, the structure function is not used in human reliability analysis (HRA) typically. In this paper, a method for structure function construction is proposed based on incomplete and uncertain data in HRA. The proposed method application is considered for healthcare to evaluate medical error. This method is developed using a fuzzy decision tree (FDT), which allows all possible component states to be classified into classes of system performance levels. The structure function is constructed based on the decision table, which is formed according to the FDT. A case study for this method is considered by evaluating the human factor in healthcare: complications in the familiarization and exploitation of a new device in a hospital department are analyzed and evaluated. This evaluation shows the decreasing of medical errors in diagnosis after one year of device exploitation and a slight decrease in quality of diagnosis after two months of device exploitation. Numerical values of probabilities of medical error are calculated based on the proposed approach.

scholarly journals FORMOSAT-3/COSMIC Constellation Spacecraft System Performance: After One Year in Orbit

2008 ◽  
Vol 46 (11) ◽  
pp. 3380-3394 ◽  
Author(s):  
Chen-Joe Fong ◽  
Shan-Kuo Yang ◽  
Chung-Huei Chu ◽  
Cheng-Yung Huang ◽  
Jia-Jing Yeh ◽  
...  
Keyword(s):  
System Performance ◽  
One Year

Yuma Border Patrol Lighting Retrofit: Final LED System Performance Assessment of Trial and Full Installation

2018 ◽  
Author(s):  
Andrea Wilkerson ◽  
Gregory P. Sullivan ◽  
Robert G. Davis ◽  
Sarah Safranek
Keyword(s):  
Performance Assessment ◽  
System Performance ◽  
Border Patrol ◽  
Lighting Retrofit
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