scholarly journals A Simple Approach in Estimating the Effectiveness of Adapting Mirror Concentrator and Tracking Mechanism for PV Arrays in the Tropics

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
M. E. Ya’acob ◽  
H. Hizam ◽  
H. Abdul Rahman ◽  
W. Z. Wan Omar ◽  
Myo Than Htay ◽  
...  
Keyword(s):  
Power Generation ◽  
Field Method ◽  
Data Sampling ◽  
Solar Pv ◽  
Dc Power ◽  
The Common ◽  
Additional Reference ◽  
Testing Condition ◽  
The Tropics ◽  
Pv Generator

Mirror concentrating element and tracking mechanism has been seriously investigated and widely adapted in solar PV technology. In this study, a practical in-field method is conducted in Serdang, Selangor, Malaysia, for the two technologies in comparison to the common fixed flat PV arrays. The data sampling process is measured under stochastic weather characteristics with the main target of calculating the effectiveness of PV power output. The data are monitored, recorded, and analysed in real time via GPRS online monitoring system for 10 consecutive months. The analysis is based on a simple comparison of the actual daily power generation from each PV generator with statistical analysis of multiple linear regression (MLR) and analysis of variance test (ANOVA). From the analysis, it is shown that tracking mechanism generates approximately 88 Watts (9.4%) compared to the mirror concentrator which generates 144 Watts (23.4%) of the cumulative dc power for different array configurations at standard testing condition (STC) references. The significant increase in power generation shows feasibilities of implying both mechanisms for PV generators and thus contributes to additional reference in PV array design.

scholarly journals Field Evaluation of Five-Level Heat Dissipation Models under PV Array Structure Installed in the Tropics

2015 ◽  
Vol 789-790 ◽  
pp. 416-421 ◽  
Author(s):  
M. Effendy Ya’acob ◽  
H. Hizam ◽  
Y. Hashimoto ◽  
B. Adam ◽  
N.F. Othman
Keyword(s):  
Heat Dissipation ◽  
Field Evaluation ◽  
Weather Conditions ◽  
Energy Performance ◽  
Data Sampling ◽  
Contour Analysis ◽  
Tropical Regions ◽  
Pv Array ◽  
Testing Condition ◽  
The Tropics

The intermittent drawbacks due to fluctuating temperature factor inside photovoltaic (PV) cells have clearly affected the overall energy performance especially in stochastic weather conditions. Temperature element in the tropical regions is a crucial factor to be determined based on Standard Testing Condition (STC) and Nominal Operating Cell Temperature (NOCT) correlations. Based on the crucial implication of heat dissipation, this study shares some insights of five level heat contour covering the surrounding temperature, PV surface temperature, PV bottom temperature and 2-level of two feet height located under PV array. The field data in real-time approach has been brought up in line to support the energy balance modelling for PV applications with localized heat contour analysis using statistical evaluations. The regression analysis of the 3471 data sampling for the period of 5 days (7AM till 7 PM) produces very good results with correlation coefficient, R2 = 0.97.

scholarly journals Ultra-Short-Term Forecasting of Photo-Voltaic Power via RBF Neural Network

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1717
Author(s):  
Wanxing Ma ◽  
Zhimin Chen ◽  
Qing Zhu
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Smart Grids ◽  
Percentage Error ◽  
Solar Pv ◽  
Short Term ◽  
Forecasting Method ◽  
Photo Voltaic ◽  
Short Term Forecasting ◽  
Pv Power Generation

With the fast expansion of renewable energy systems during recent years, the stability and quality of smart grids using solar energy have been challenged because of the intermittency and fluctuations. Hence, forecasting photo-voltaic (PV) power generation is essential in facilitating planning and managing electricity generation and distribution. In this paper, the ultra-short-term forecasting method for solar PV power generation is investigated. Subsequently, we proposed a radial basis function (RBF)-based neural network. Additionally, to improve the network generalization ability and reduce the training time, the numbers of hidden layer neurons are limited. The input of neural network is selected as the one with higher Spearman correlation among the predicted power features. The data are normalized and the expansion parameter of RBF neurons are adjusted continuously in order to reduce the calculation errors and improve the forecasting accuracy. Numerous simulations are carried out to evaluate the performance of the proposed forecasting method. The mean absolute percentage error (MAPE) of the testing set is within 10%, which show that the power values of the following 15 min. can be predicted accurately. The simulation results verify that our method shows better performance than other existing works.

scholarly journals Are different M = a + bI0 relationships due to a statistical bias?

1998 ◽  
Vol 41 (1) ◽  
Author(s):  
M. Mucciarelli
Keyword(s):  
Functional Form ◽  
Macroseismic Intensity ◽  
Data Sampling ◽  
Statistical Bias ◽  
The Common

Relationships between magnitude and macroseismic intensity are widely used, even though intensity is a non-metric observable. Several proposed relationships for the Italian and surrounding regions show a significant correlation of the parameters of the widely used functional form M = a + bI0 This could suggest either the common dependence on a third variable or that the different proposed relationships are due to a pivotal phenomenon around average values, mainly driven by data sampling and uncertainties. Synthetic simulations lend support to the last hypothesis.

scholarly journals Modeling and Simulation of Energy Management Hybrid Sources System composed of Solar-PV and Battery

2016 ◽  
Vol 1 (1) ◽  
pp. 12
Author(s):  
Madiha Maamir ◽  
Achour Betka ◽  
Hania Aboub
Keyword(s):  
Energy Management ◽  
Solar Pv ◽  
Modeling And Control ◽  
Control Techniques ◽  
Simulation Results ◽  
Power Manager ◽  
And Control ◽  
Different Sources ◽  
Pv Generator ◽  
Auxiliary Source

This paper describes the  modeling and control of a hybrid source consisting of PV generator (as  main  source)  along  with  a  battery (as  an  auxiliary source)  and a dc-load are connected through power converters and a dc-link. The main objective of this paper is to design a power manager to control effectively the power of the different sources. To test the effectiveness of the different control techniques involved, simulation results are plotted and commented.

scholarly journals Design Optimization of a Hybrid-Excited Flux-Switching Machine for Aircraft-Safe DC Power Generation Using a Diode Bridge Rectifier

2017 ◽  
Vol 64 (12) ◽  
pp. 9896-9904 ◽  
Author(s):  
Andre Nasr ◽  
Sami Hlioui ◽  
Mohamed Gabsi ◽  
Mathieu Mairie ◽  
Didier Lalevee
Keyword(s):  
Power Generation ◽  
Design Optimization ◽  
Dc Power ◽  
Bridge Rectifier

Solar Micro-Inverter

2020 ◽  
pp. 283-303
Author(s):  
Sivaraman P. ◽  
Sharmeela C.
Keyword(s):  
Power Generation ◽  
Tilt Angle ◽  
Solar Pv ◽  
Dc Voltage ◽  
Design Engineers ◽  
Design Flexibility ◽  
Pv Module ◽  
Pv Modules ◽  
Mppt Controller ◽  
Micro Inverter

A solar micro inverter is a small-size inverter designed for single solar PV module instead of group of solar PV modules. Each module is equipped with a micro inverter to convert the DC electricity into AC electricity and the micro inverter is placed/installed below the module. The advantages of micro inverters are: reduced effect of shading losses, module degradation and soiling losses, enabled module independence, different rating of micro inverter can be connected in parallel to achieve the desired capacity, additional modules can be included at time which allows the good scalability, string design and sizing are avoided, failure of any micro inverter does not affect the overall power generation, individual MPPT controller for each module increases the power generation, any orientation and tilt angle allows higher design flexibility, lower DC voltage increasing the safety, easy to design, handle and install, requires less maintenance, draws attention of design engineers, contractors, etc.

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