A novel algorithm for single-axis maximum power generation sun trackers

Lee, Kung‐Yen; Chung, Chi-Yao; Huang, Bin‐Juine; Kuo, Tsun-Cheng; Yang, Huang-Wei; Cheng, Hung-Yen; Hsu, Ping-Chi; Li, Kang

doi:10.1016/j.enconman.2017.07.041

Cited by 17 publications

(8 citation statements)

References 28 publications

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“…Power Loss = 1 -cos θ (1) It is a common sight in the Philippines that PV panels are installed on residential rooftops in a fixed tilted position as a stand-alone system to harvest solar energy. However, a fixed panel setup maximizes direct sun exposure only at particular times of the day.…”

Section: Fig 1: Direct Power Loss Due To Misalignment In Anglementioning

confidence: 99%

“…Solar energy is an abundant renewable energy resource that provides clean electricity for residential and commercial use. But despite this vast energy resource, harvesting it remains a challenge because of the limited energy conversion efficiency of photovoltaic (PV) panels [1], [2]. Commercially available PV panels have energy conversion efficiencies that range from 14% to 22% [3].…”

Section: Introductionmentioning

confidence: 99%

“…According to [6], solar radiation is at a maximum when the panel is perpendicular to the direct beam of the solar radiation, in effect; PV panels generate the most amount of power [3], [7]- [10]. Deviating from the perpendicular position causes power loss defined by (1) [11]. An increase in the angle of misalignment, θ, decreases the amount of solar radiation received by the panel as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Sunflower-Inspired Solar Tracking Strategy for Maximizing Photovoltaic Panel Power Generation

Sabran¹,

Fajardo²

2019

IJRTE

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A previous study proposed a nature-inspired tracking strategy that mimics the solar tracking behavior of sunflowers driven by the light stimulus and the circadian clock. The approach delivered a good tracking performance with an average tracking error of 0.727° under clear, partly cloudy, and cloudy conditions. However, it incurred high tracking errors caused by false detection brought about by the abrupt changes in the amount of solar radiation during realignment. In addition, the scheme also maintained high stepper motor current consumption due to the use of a fixed stepping resolution. To address these issues, the previous tracking routine was modified to direct the search for the sun’s position to a range of calculated altitude angles where a fine-tuning process will be performed using current measurements and the adoption of a variable stepping resolution during panel reorientation. Experiments were conducted to measure the performance of the modifications in terms of tracking error, power generation, and stepper motor current consumption. A comparison of the performances between the previous and the modified approaches was done to assess the impact of the proposed improvement. The result of the comparison showed that the modifications significantly improved the overall tracking performance of the strategy.

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Section: Fig 1: Direct Power Loss Due To Misalignment In Anglementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Improved Sunflower-Inspired Solar Tracking Strategy for Maximizing Photovoltaic Panel Power Generation

Sabran¹,

Fajardo²

2019

IJRTE

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“…They concluded that a higher yield of energy production with the new approach can be achieved compared to the step by step tracking system, and this higher yield could be up to 2% on an annual basis. Lee et al (2017) developed a novel algorithm for single-axis maximum power generation sun trackers. It was based on one-axis three-position sun tracker, and it automatically identified the optimal stopping angle for the PV module.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of a Pseudo Two-axis Sun Tracking System

Adibpour

Alemrajabi

2022

Preprint

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Tracking the sun is an important method for increasing the electricity generation of photovoltaic panels. Sun tracking systems are designed to track the sun with one axis or two axes, based upon solar azimuth angle and altitude angle. In this research, a pseudo two-axis sun tracker is presented and applied for installing the photovoltaic panel on. In this tracking system, one rotating motor is used instead of two, and more solar radiation is absorbed compared with common one-axis tracking systems. The results show that pseudo two-axis sun tracking system gains 2.82% more radiation than the conventional one-axis sun tracker. Through adjusting the angle two times a year, 4.01% more radiation is gained and adjusting the angle four times a year results in gaining 4.12% more radiation, while using a two-axis sun tracker results in 4.39% more radiation on the panel compared with one-axis sun tracker. The pseudo two-axis sun tracker’s performance with adjusting angle four times a year has little difference with two-axis sun tracker and due to using one motor instead of two, using a pseudo two-axis sun tracker is more economical. The percentage of increased radiation of pseudo two-axis sun tracker compared with fixed panel differs for various cities, which could be as high as 31% for some of major Iranian cities.

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“…However, these requirements have been addressed independently, as some proposals increase the energy generation performance with implementation of control tracking strategies and more accurate tracking algorithms. The preceding objectives increase the computational performance of the system [9], [11]. Nevertheless, large-scale data processing and more computational effort are required to execute the algorithm, which directly affects the system energy consumption.…”

Section: Introductionmentioning

confidence: 99%

A Heuristic Approach for Tracking Error and Energy Consumption Minimization in Solar Tracking Systems

et al. 2019

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This paper proposes a methodology for optimizing a class of robotic solar tracking systems with two degrees of freedom using a heuristic approach. The proposal allows a balance to be found between the energy consumption and tracking accuracy in the tracking system. The main purpose is the behavior modification of the system through the combination of two manipulation strategies, one associated with the energy savings and the other with the tracking error. The heuristic approach was implemented in a solar tracking system with the end effector connected to a solar measurement device. Four energy-saving strategies and three tracking strategies were developed, simulated, and implemented in the system. The simulation results show that the resulting strategy combination (tracking error and energy saving approach) led to 31.55% energy savings compared to the reference values, with a tracking error of 0.06 •. Moreover, the experimental assessment of the same combination led to 26.98% energy is being saved, with an azimuthal tracking error of 0.062 • and elevation tracking error of 0.071 •. The preceding values support the aim of the presented proposal to significantly reduce energy consumption while concurrently achieving a competitive tracking error. INDEX TERMS Energy consumption, heuristic optimization, solar tracking system, tracking error.

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A novel algorithm for single-axis maximum power generation sun trackers

Cited by 17 publications

References 28 publications

An Improved Sunflower-Inspired Solar Tracking Strategy for Maximizing Photovoltaic Panel Power Generation

An Improved Sunflower-Inspired Solar Tracking Strategy for Maximizing Photovoltaic Panel Power Generation

Performance Evaluation of a Pseudo Two-axis Sun Tracking System

A Heuristic Approach for Tracking Error and Energy Consumption Minimization in Solar Tracking Systems

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