Assessing Solar PV Behavior Under Varying Environmental Conditions - A Statistical approach

Paul, D.; Mukherjee, D.; Chaudhuri, Sheli Sinha

doi:10.1109/icece.2006.355329

Cited by 8 publications

(5 citation statements)

References 1 publication

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“…Study shows that shading problem will have great impact on performances of PV modules [2][3][4][5]. Even a small shade on a single cell will exert a lot of impact on the output of the whole PV module.…”

Section: A Shading Problemmentioning

confidence: 99%

A Research on Shading and LCOE of Building Integrated Photovoltaic

Wang¹,

Ai²,

Xie

et al. 2011

2011 Asia-Pacific Power and Energy Engineering Conference

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This paper has discussed designing and economic analysis of BIPV systems. For system designing, two major problems: shading and tilt angle calculation are analyzed. A new way to calculate tilt angle so as to reduce the impacts of shading and maximize power output is presented, followed by a designing example to show its effectiveness. In economic analysis, LCOE method is used to evaluate the designed system with a comprehensive way to find the LCOE optimized tilt angle. Comparisons between output optimized tilt angle and LCOE optimized tilt angle are made in this paper with the conclusion that the two angles are almost equal in BIPV systems and governments' incentives are more crucial for improvement of BIPV's LCOE.

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Section: A Shading Problemmentioning

confidence: 99%

A Research on Shading and LCOE of Building Integrated Photovoltaic

Wang¹,

Ai²,

Xie

et al. 2011

2011 Asia-Pacific Power and Energy Engineering Conference

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“…The ANOVA provides a statistical test of whether or not the means of several groups are equal and therefore generalizes -test to more than two groups for statistical significance. Some practical examples of ANOVA modelling for solar PV application are described in [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

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

Ya’acob

Hizam

Rahman

et al. 2014

International Journal of Photoenergy

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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.

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“…Some authors have considered the use of the statistics for assessing solar PV plant [2], while a monitoring and decision algorithm based on two main theoretical branches of statistical science, namely descriptive and inferential statistics, has been developed in [3]. The former one is useful to characterize the data population by assigning a proper descriptive model or distribution family to it.…”

Section: Introductionmentioning

confidence: 99%

Cumulative statistical analysis to monitor the energy performance of PV plants

Vergura¹

2011

REPQJ

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Abstract. This paper proposes a procedure based on statistical tools for diagnosis of PhotoVoltaic (PV) plants. As the data are acquired, statistical analyses are realized. At every new loop other data are added to the previous ones, implementing a cumulative statistical analysis. In this manner it is possible to follow the trend of some specific parameters and to understand the real operation of the PV plant as the environmental conditions change during the year. The proposed approach, based on ANOVA and Kruskal-Wallis tests, is effective in detecting and locating abnormal operating conditions. The proposed algorithm has been applied to a real case and results are presented.

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Assessing Solar PV Behavior Under Varying Environmental Conditions - A Statistical approach

Cited by 8 publications

References 1 publication

A Research on Shading and LCOE of Building Integrated Photovoltaic

A Research on Shading and LCOE of Building Integrated Photovoltaic

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

Cumulative statistical analysis to monitor the energy performance of PV plants

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