Changes of Photovoltaic Performance as a Function of Positioning Relative to the Focus Points of a Concentrator PV Module: Case Study

Zsiborács, Henrik; Baranyai, Nóra Hegedűsné; Vincze, András; Háber, István; Weihs, Philipp; Oswald, Sandro; Gützer, Christian; Pintér, Gábor

doi:10.3390/app9163392

Cited by 12 publications

(20 citation statements)

References 43 publications

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“…By investigating the relationships between tracking inaccuracy and performance in traditional PV technologies, Nsengiyumva et al (2018) [54] found that, regardless of the cardinal direction, an inaccuracy of 10 • in solar tracking caused a mere 1.5% decrease in performance. Contrary to that, however, a three-year-long series of measurements carried out in Hungary detected a more complex relationship [67]. In the latter research project, three different PV technologies (m-Si; p-Si; a-Si) were compared by means of a dual axis solar tracking mounting system.…”

Section: Azimuth-elevationmentioning

confidence: 97%

“…The insensitivity point of 3 • , determined by this study, may also have economic implications by highlighting the question, whether in the design of solar tracking devices the 3 • threshold should be surpassed, and if yes, to what extent. In addition, the research findings may be useful regarding the planning of solar tracking systems and the calculations of investment costs and returns in the case of m-Si, p-Si, and a-Si PV systems [67].…”

Section: Azimuth-elevationmentioning

confidence: 99%

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The Impacts of Tracking System Inaccuracy on CPV Module Power

Zsiborács¹,

Baranyai²,

Vincze³

et al. 2020

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The accuracy and reliability of solar tracking greatly impacts the performance of concentrator photovoltaic modules (CPV). Thus, it is of utmost significance to know how deviations in tracking influence CPV module power. In this work, the positioning characteristics of CPV modules compared to the focus points were investigated. The performance of CPV modules mounted on a dual-axis tracking system was analysed as a function of their orientation and inclination. The actual experiment was carried out with CPV cells of 3 mm in diameter. By using a dual tracking system under real weather conditions, the module’s position was gradually modified until the inclination differed by 5° relative to the optimal position of the focus point of the CPV module. The difference in inclination was established by the perfect perpendicularity to the Sun’s rays. The results obtained specifically for CPV technology help determine the level of accuracy that solar tracking photovoltaic systems are required to have to keep the loss in power yield under a certain level. Moreover, this power yield loss also demonstrated that the performance insensitivity thresholds of the CPV modules did not depend on the directions of the alterations in azimuthal alignment. The novelty of the research lies in the fact that earlier, no information had been found regarding the tracking insensitivity point in CPV technologies. A further analysis was carried out to compare the yield of CPV to other, conventional photovoltaic technologies under real Central European climate conditions. It was shown that CPV needs a sun tracking accuracy of at least 0.5° in order to surpass the yield of other PV technologies. Besides providing an insight into the tracking error values of solar tracking sensors, it is believed that the results might facilitate the planning of solar tracking sensor investments as well as the economic calculations related to 3 mm cell diameter CPV system investments.

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Section: Azimuth-elevationmentioning

confidence: 97%

Section: Azimuth-elevationmentioning

confidence: 99%

The Impacts of Tracking System Inaccuracy on CPV Module Power

Zsiborács¹,

Baranyai²,

Vincze³

et al. 2020

Processes

Self Cite

View full text Add to dashboard Cite

show abstract

“…For instance, if the target diverges from the rectilinear trajectory and performs maneuvers, α and β have to be chosen from a wide range of values in order to be sure that the tracking system ensures an accurate target tracking. However, if the deviation is due to the noise induced by the measurement to a greater extent than that caused by the maneuvers of the target, α and β must be chosen rather small to ensure that the tracking system is positioned correctly [35].…”

Section: α-β Tracking Systemmentioning

confidence: 99%

Aircraft Trajectory Tracking Using Radar Equipment with Fuzzy Logic Algorithm

2020

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Radio-electronic means, including equipment for transmissions, radio-location, broadcasting, and navigation, allow the execution of various research missions and combat forces management. Determining the target coordinates and directing the armament towards them, obtaining and processing data about enemies, ensuring the navigation of ships, planes and outer atmospheric means, transmitting orders, decisions, reports and other necessary information for the armed forces; these are only some of the possibilities of radio-electronic technology. Fuzzy logic allows the linguistic description of the laws of command, operation and control of a system. When working with complex and nonlinear systems, it can often be observed that, as their complexity increases, there is a decrease in the significance of the details in describing the global behavior of the system. Even though such an approach may seem inadequate, it is often superior and less laborious than a rigorous mathematical approach. The main argument in favor of fuzzy set theory is to excel in operating with imprecise, vague notions. This article demonstrates the superiority of a fuzzy tracking system over the standard Kalman filter tracking system under the conditions of uneven accelerations and sudden change of direction of the targets, as well as in the case of failure to observe the target during successive scans. A cascading Kalman filtering algorithm was used to solve the speed ambiguity and to reduce the measurement error in real-time radar processing. The cascade filters are extended Kalman filters with controlled gain using fuzzy logic for tracking targets using radar equipment under difficult tracking conditions.

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“…From the controller point of view, different control strategies are used [5,28,32,46], such as classical techniques as PID algorithm or more advanced strategy such as fuzzy logic controller -FLC. In reference [45], whose aim is to design a low cost two-axis solar tracker for obtaining a high precision positioning of the panel, the control-board is able to support different control strategy, PID and FLC; using the error signal, the tracking capacities of the proposed approaches are tested on an experimental prototype. In reference [12], the implementation of a fuzzy logic neural controller (FNLC) in photovoltaic systems has been studied; this controller, which is an evolution of the fuzzy control concept, allows the system to learn control rules.…”

Section: Issn: 2668-0416mentioning

confidence: 99%

A Review on the Sun Tracking Mechanisms for Pv Strings

Alexandru¹

2019

JRISS

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This paper deals with a review on the solar trackers used for increasing the energetic efficiency of the photovoltaic (PV) strings. To begin with, the context from which the utility of the tracking mechanisms emerges is presented. The study continues with the systematization of the PV systems according to the structure that is oriented (i.e. the configuration in which the PV panels are disposed / arranged), presenting also the main advantages and disadvantages of the existing structures. Thus, it is retained as a solution for deepening the research that of the simultaneous orientation of the PV panels arranged in a string-like configuration. Afterwards, the study is focused on the main components that are taken into account in the design process of the tracking systems for PV strings, such as the tracking mode, the evaluation of the solar energy potential (involving the modelling of the solar radiation), the emplacement/disposing scheme of the panels in different array configurations, the mechanical and control devices of the solar trackers.

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Changes of Photovoltaic Performance as a Function of Positioning Relative to the Focus Points of a Concentrator PV Module: Case Study

Cited by 12 publications

References 43 publications

The Impacts of Tracking System Inaccuracy on CPV Module Power

The Impacts of Tracking System Inaccuracy on CPV Module Power

Aircraft Trajectory Tracking Using Radar Equipment with Fuzzy Logic Algorithm

A Review on the Sun Tracking Mechanisms for Pv Strings

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