Panel Position Research Articles

Abstract B043: Molecular profiling of serially collected cerebrospinal fluid uncovers therapy-resistant subclones in recurrent leptomeningeal metastatic disease

Abstract Leptomeningeal metastatic disease (LMD) is the spread of cancer cells to the cerebrospinal fluid (CSF)-filled spaces surrounding the central nervous system. After symptom onset, LMD patients survive for only weeks to months while enduring devastating neurologic symptoms. Current clinical tools to diagnose LMD, such as CSF cytology and magnetic resonance imaging, do not detect mutations susceptible to treatment, quantitatively monitor response to therapy, or identify mutation-based resistance mechanisms. Here, we sought to profile LMD using next-generation sequencing by studying CSF-derived cell-free DNA (CSF-cfDNA) from 9 breast cancer and 5 lung cancer patients with LMD and 4 LMD-negative controls. To conduct an unbiased search for somatic mutations, we used a custom-designed gene panel and our validated True2 sequencing workflow with a specificity of <1 false positive per 100kb panel positions and a 97.6% sensitivity for detecting single nucleotide variants (SNVs) with a variant allele frequency (VAF) ≥0.1%. Although CSF-cfDNA quantity ranged widely (<1 to 91 ng), genomic alterations were observed in 100% of LMD patients vs. none in the controls. In 13 patients with a SNV, an average of 4.5±3.3 variants were detected with a VAF ranging from 0.051% (HER2 p.S1151L associated with a 12-fold amplification and read depth of 25,542X) to 98.7% (PTEN p.Q733X associated with a loss of heterozygosity). Importantly, subclones in cancer driver genes were detected in 10 of 13 (76.9%) samples consistent with a high prevalence in LMD. Somatic mutations in genes common to both cancers were discovered (e.g., TP53, KMT2D, and EGFR), while other affected genes segregated based on cancer type (e.g., PIK3CA, ATM, and CDH1 in breast cancer; PTEN, MTOR and PDGFRA in lung cancer). An amplification or deletion was detected in 10 of 14 patients (71.4%), a subset of which segregated by cancer type (e.g., HER2 and ESR1 amplifications in breast cancer; CDKN2A and TP53 codeletions in lung cancer). Using serially collected CSF samples, we observed: (1) loss of subclones in response to therapy followed by resurgence at clinical recurrence showing suppression of disease but not eradication; (2) multiple subclones in the same gene supporting evidence of convergent evolution; and (3) emergence of new subclones at clinical recurrence consistent with mutation evolution in response to therapy. For example, in a breast cancer patient with a known HER2 amplification receiving intrathecal Trastuzumab, a previously absent HER2 p.V777L mutation was present at the end of therapy with a VAF of 18.6% which increased at clinical recurrence to 94.8% in association with a 2.4-fold HER2 amplification indicating the mutated HER2 subclone was already therapy-resistant. Our findings support a panel-based approach to detect and monitor LMD-derived somatic mutations using CSF-cfDNA. Moreover, the untargeted search for somatic mutations via True2 has the potential to guide personalized, adaptive therapeutics for LMD patients which may prove essential in improving patient survival. Citation Format: Yingqi Zhang, Rachna Malani, Charlie S Dean, Laura A Boatz, Brion E Harrison, Mei Wei, Wallace Akerley, Mary P Bronner, Hunter R Underhill. Molecular profiling of serially collected cerebrospinal fluid uncovers therapy-resistant subclones in recurrent leptomeningeal metastatic disease [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr B043.

Static reconfiguration method of photovoltaic array based on improved competence square

Partial shading can reduce the power output of a photovoltaic (PV) array due to mismatch losses. Therefore, various static and dynamic reconfiguration techniques have been proposed to address this problem. Although dynamic reconfiguration methods are fast and flexible, they face challenges such as complex hardware circuits and high costs. In contrast, static reconfiguration methods simplify control complexity, improve system stability, and significantly reduce costs. Among the existing static reconfiguration techniques, the competence square (CS) method, which changes the physical positions of PV panels without modifying the total cross tied (TCT) based electrical connections, has been introduced to enhance power generation. However, this arrangement faces drawbacks due to the lack of effective chromatic dispersion and insufficient power enhancement under shading conditions. This paper proposes an improved competence square (ICS) reconfiguration method to further improve the power output. The ICS method first reconfigures the PV array using the CS method, then applies the lo shu (LS) method for secondary reconfiguration to determine the optimal connections. This method is compared with TCT, CS and improved northern goshawk optimization (INGO) methods. Additionally, the performance of the proposed method is evaluated against various existing photovoltaic array configurations by comparing the global maximum power point (GMPP), fill factor (FF), mismatch loss (ML), and power enhancement (PE). The experiment shows that under shading conditions of square shading, rectangle shading, trapezoid shading, triangle shading, L-shaped shading, cross shading, discontinuous shading, and irregular shading, reconfiguring PV arrays using ICS consistently achieves the highest power improvement. Compared to TCT, the power output increases significantly by 16.6%, 2.1%, 18.0%, 16.0%, 19.1%, 5.0%, 4.0%, and 3.0%, respectively. Comparison results validate the proposed ICS method in enhancing the global maximum power under shaded conditions.

Comparative Analysis of Tilt And Illumination of Solar Panels in the Design of Solar Test Simulator

In order for the designed tool to simulate solar panel measurements based on real-world conditions, the solar panel placement holder was arranged in a specific way during the design process. A monitor display that is mounted on the design will show the effectiveness of the solar panels and provide general solar panel information. Limitations in the positioning of solar panels will not provide a reference to conditions for measurement depending on the angle of incidence of the sun so further design needs to be done regarding the position of solar panels when measurements are taken. The development carried out in the design of this tool is in the form of adjusting the solar panel holder in the form of a solar panel holder tilt of 0°, 90°, 180°, and a distance of 30 cm halogen lamp as an energy source that is measured. Measurement results based on design, temperature 46°C, and 100% light.

The Active Compensation Technique for Large Reflector Antennas Based on Quadratic Curve Fitting

Active reflectors are often used to compensate the surface distortion caused by environmental factors that degrade the electromagnetic performance of large high-frequency reflector antennas. This is crucial for maintaining high gain operation in antennas. A distortion compensation method for the active reflector of a large dual-reflector antenna is proposed. A relationship is established between the surface deformation and the optical path difference for the primary reflector by geometric optics. Subsequently, employing finite element analysis, a polynomial fitting approach is used to describe the impact of adjusting points on the reflector surface based on the coordinates of each node. By standardizing the positions of various panels on the reflector, the fitting ns can be applied to the reflector panels of similar shapes. Then, based on the distribution characteristics of the primary reflector panels, the adjustment equation for the actuators is derived by the influence matrix method. It can be used to determine the adjustment amount of actuators to reduce the rms of the optical path difference. And, the least squares method is employed to resolve the matrix equation. The example of a 110 m aperture dual-reflector antenna is carried out by finite element analysis and the proposed method. The results show that the optical path difference is reduced significantly at various elevation cases, which indicates that the proposed method is effective.

Design and Implementation of A Dual-Axis Solar Tracking System using Arduino Uno Microcontroller

This paper presents a dual-axis solar tracking system developed and evaluated using LDR sensors and stepper motors, controlled by an Arduino Uno microcontroller. The aim was to enhance photovoltaic energy efficiency by designing a system capable of automatically adjusting the position of solar panels to follow the sun's movement throughout the day. Comparative testing between static solar panels and those equipped with solar trackers demonstrated that the latter produced 35% more power on average. Additionally, the dual tracking system showed a 14% improvement in efficiency over previous averages noted in existing references. Analysis of azimuth and elevation angles confirmed that the solar tracker accurately adjusted the panels' position, significantly boosting solar energy capture. This finding is consistent with prior research, which also supports the efficacy of solar trackers in enhancing photovoltaic efficiency. Future research should expand testing to include various weather and environmental conditions and focus on developing more advanced control algorithms to enhance system responsiveness. Continuous advancements in solar tracking technology are vital for maximizing solar energy potential and facilitating a transition to a more sustainable society.

Comparative Study on Efficiency Analysis of Fixed and Dual-Axis Solar Tracking System

Solar energy is a crucial renewable energy source, offering sustainable solutions to address energy demands and combat climate change. Maximizing the efficiency of solar energy harvesting is essential for widespread adoption and integration into the energy landscape. Solar tracking systems play an important role in increasing the efficiency of solar panels by optimizing their orientation towards the sun throughout the day. This research presents a comparative analysis of the efficiency of dual-axis solar tracking systems using Light-Dependent Resistors (LDRs) as input devices. A closed-loop tracking technique is implemented to adjust the position of the solar panels based on real-time sensor feedback. A comparative study between LDRs demonstrates their effectiveness in detecting the sun's position, despite limitations such as susceptibility to ambient light conditions and saturation to light intensity. Through experimental evaluation and data analysis, this study provides valuable insights into the power output and assessment of efficiency variation of dual-axis solar tracking systems offering applications for optimizing solar energy harvesting in practical scenarios.

Energy Production Optimization by Positioning of Solar Panels and Surveillance System with Cleaning of Panels

The pursuit of efficient and sustainable energy generation has led to the widespread adoption of solar panels. However, the optimal performance of these panels can be hindered by factors such as dirt accumulation, suboptimal orientation, and security concerns. To address these challenges, we propose an integrated Solar Panel Tracking, Cleaning, and Surveillance System (SPTCSS). Our system employs advanced tracking technology to optimize solar panel orientation, ensuring maximum exposure to sunlight throughout the day. Additionally, it incorporates automated cleaning mechanisms, utilizing water and brushes to remove dust, debris, and other contaminants, thereby maintaining peak efficiency. Furthermore, the surveillance aspect of the system provides real-time monitoring and security features, safeguarding against theft, vandalism, and unauthorized access. Through a network of sensors and cameras, any anomalies or suspicious activities can be promptly detected and addressed. By integrating tracking, cleaning, and surveillance functionalities into a single system, our solution offers a comprehensive approach to enhancing the performance, longevity, and security of solar panel installations. This not only maximizes energy generation but also minimizes maintenance requirements and mitigates risks, ultimately contributing to a more sustainable and reliable renewable energy infrastructure

Raspberry Pico Based Dual Axis Smart Solar Tracking System

One of the most critical global concerns is the energy crisis, which has led to a growing emphasis on renewable energy solutions. Solar panels have become increasingly popular in recent years as they efficiently convert solar energy into electrical energy. Their affordability and minimal environmental impact make them a preferred choice. Solar panels release electromagnetic radiation during electricity production. The primary objective is to develop an effective autonomous solar tracking system that constantly adjusts the solar panel's position to remain perpendicular to the sun's rays. In this system, a photoresistor serves as the sensor, detecting sunlight to facilitate automatic adjustments. Both horizontal and vertical axes on the dual-axis solar panel are rotated to enhance device efficiency. This dual-axis mechanism provides precise control over the panel's elevation relative to the sun, ensuring optimal energy capture. Solar tracking systems are specifically designed to maximize solar panel efficiency by aligning them with the sun's position throughout the day. These systems utilize sensors and motors to continuously adjust the panel's orientation, resulting in increased energy production and a better return on investment compared to fixed solar panels.

Numerical analysis of the behaviour of a concrete floor in a steel-framed structure subject to a traveling fire

This paper presents a finite element model for a multi-story structure subjected to traveling fire. The structure selected has been previously investigated in experimental studies. The study investigates the effect of the number and positions of the panels exposed to fire on the fire behavior of the composite floor in the structure. Parameter analyses were conducted, including floor thickness, reinforcement arrangement, loads, position and number of panels exposed to fire, and traveling fire. The study shows that there are three different patterns of membrane action: ring type, diagonal U type, and opposite side U type. The moment and axial force of the steel beam near the fire panel increase gradually, while the internal force change of the steel beam at a distance from the panel exposed to fire is relatively small. The axial force of the edge and corner columns changed more significantly compared to the axial force of the middle column. Furthermore, the displacement, fire resistance, failure mode, and membrane action of the floors depend primarily on the position of the panels exposed to fire, the traveling fire, and the interaction among members.

ENERGY EFFICIENCY OF PHOTOVOLTAIC PANELS DEPENDING ON THE STEP RESOLUTION OF TRACKING SYSTEM

The article presents an energy analysis of a 3.5 kWp photovoltaic installation placed on a two-axis tracking system, depending on resolution of step tracking system, that tracks apparent position of the Sun on the celestial sphere. Measurements were taken during July and August, months with similar solar radiation intensity. During the first month, the tracking system changed the spatial orientation of the photovoltaic panels with a frequency of 20 minutes, while in the second month the resolution of the tracking step was 120 minutes. The total energy production by the photovoltaic installation cooperating with the tracking system was 589.5 kWh and 579.85 kWh, for a tracking step resolution of 20 and 120 minutes, respectively. The monthly difference between the two analysed periods does not exceed 1.7%. However, when analysing the days with the highest energy production – exceeding 28 kWh/day, the photovoltaic installation which changed its spatial orientation with greater frequency produced 309.83 kWh, and with a smaller one 259.88 kWh. In the case of sunny, cloudless days, the difference in the efficiency of both solutions is equal to 19%. During days with lower solar radiation, the efficiency of the photovoltaic installations was similar. It can be concluded that increasing the step resolution of the tracking system increases energy production on sunny, cloudless days. It should be taken into account that increasing the frequency of changing the position of photovoltaic panels increased energy consumption by tracker motors from 2.48 kWh to 3.75 kWh, which constitutes 13.2% of the energy gain obtained over the entire tested period, but less than 1% during days with the highest amount of solar radiation.

Development and evaluation of a microcontrolled solar tracker based on chronological positioning

AbstractCurrently, photovoltaic (PV) solar energy is one of the most promising sources of renewable energy. Solar trackers (ST) are devices that track and maintain the alignment of solar collectors with the sun's rays, thereby increasing energy generation. This article reports on the development of a microcontrolled dual‐axis solar tracker. The system lacks feedback and relies on astronomical equations to calculate the position of the sun. The positioning of the solar panel is controlled by an on–off controller, while the energy generated by the tracker is compared to the output of a stationary panel. Unlike other studies, this work takes into account the energy consumed during the process, including powering the control system and moving the structure. The true tracking gain is estimated using this method. The tracker was analyzed over three days under different climatic conditions, including sunny, partly cloudy, and cloudy weather. After evaluation, the average error of the solar positioning algorithm was 1%. On a sunny day, the tracker produced 52.96% more energy than the fixed system. Considering the energy consumed by the tracking system, the net gain was 48.88%. The average gross gain for the three days analyzed was 45.64%, which is higher than the results of recent studies using the same tracker configuration. For the cloudy day, tracking was not very effective, resulting in a net gain of only 2.14%. In future work, an irradiation sensor could be included to reduce energy consumption on cloudy days. Additional studies are needed to more accurately evaluate the performance of the trigger, preferably with a one‐year data collection period.

Solar PV tracking system using arithmetic optimization with dual axis and sensor

Presently, PV system is considered the best renewable energy source for electricity production. In order to maximize energy output in photovoltaic systems, a system for tracking the sun's position and adjusting panel positions was created. Despite the fact that several models for tracking solar radiation have been suggested to improve energy production, it faces challenges in continuous tracking and power consumption. This paper proposes a novel sensor-based solar tracking system with numerical optimization to increase photovoltaic systems' energy output. The initial model was for a two-axis tracking system based on sensors. Solar panel and sun positions are detected by this system using ultraviolet and microelectromechanical sun sensors. To improve tracking movements and photovoltaic energy production, we recommend using solar sensors to construct a novel two-axis solar tracking device. This technology benefits from increased solar radiation and solar energy harvesting capabilities. The main disadvantage of dual-axis active solar tracking systems is that the drive mechanism frequently uses up the output power of the solar panels. As a result, the net power gain of the solar panel is less than its maximum. Further, a control system was developed with proportional integral derivative (PID) controller and arithmetic optimization (AO) to adjust the panel position relative to suns movement. The AO technique tunes the PID controller gains until it reaches its desired level to enhance the production of power. With the use of sensors, the tracking system can use mathematical optimization algorithms and the sun's position to minimize power consumption while still maintaining optimal solar panel positioning. The developed model was designed in the MATLAB software and the outcomes are analyzed. The paper also presents an energy analysis of the system, which evaluates the energy input, output and overall system efficiency. We recommend using solar sensors to create a unique dual-axis solar tracking system. This technology benefits from increased solar radiation and solar energy harvesting capabilities.

Design and Simulation of a Solar Powered House in Muğla: Roof Decorated with Half Cut Cells

In this article, the performance, design and efficiency calculation of photovoltaic systems were made using PvSol program. For roof type panel design close to standard installations, panel position and panel type were designed based on Muğla province sun hour data and roof shading factor. In this study, the data obtained for the roof type installation designed in Muğla city using monocrystalline, polycrystalline and half-cut monocrystalline cells were compared. When yield, area and price parameters were compared, it was found that the best cell type was half-section monocrystalline. As a result of the simulations, it was found that the average daily energy need of the house is 6.4kWh, fed by 14 half-section monocrystalline panels. The results obtained are consistent with the data in the literature.

Comparing Energy Harvesting Efficiency between Solar Panels: Tracking the Sun vs Ground-Mounted 40 WP Panels

This experiment aimed to evaluate the energy efficiency of a solar tracking panel compared to a ground-fixed solar panel. A 40 WP solar panel with a time-tracking mechanism was used to monitor the sun's movement from morning to evening, while a static 40 WP ground-fixed solar panel was also studied for comparison.The study also included the energy consumption of a 12 V DC motor responsible for orienting the tracking panel to face the sun. Throughout the day, the tracking panel's position was continuously adjusted to align with the sun's position, facilitated by a microcontroller and a gyroscope. The energy consumed by the motor during the tracking process was accounted for. The net energy output of the tracking panel was computed by subtracting the energy expended in tracking from the total energy collected. Following the experimentation, the collected data was analyzed to determine the energy efficiency of the tracking panel in contrast to the ground-fixed panel. The findings revealed that the tracking panel exhibited a 15 percent increase in energy efficiency compared to the ground-fixed panel. These results emphasize the potential benefits of solar tracking technology in optimizing energy capture from solar panels. The implications of these findings are valuable for advancing the design and implementation of solar energy systems, offering increased efficiency and sustainability.

Comparative Analysis of Solar Panel Tilt and Lighting in Design Solar Test Simulator

Designing the Solar Panel Test Simulator by means of setting up the solar panel placement holder so that the designed tool is able to provide a simulation of solar panel measurements based on actual conditions. The performance of the solar panels is shown through a monitor display placed on the design which will contain information about the solar panels as a whole. Limitations in placing the position of the solar panels will not provide a reference regarding the measurement conditions based on the angle of incidence of the sun, so further planning needs to be done regarding the position of the solar panels when the measurements are taken. The development carried out in the design of this tool is in the form of setting the solar panel mount in the form of a tilt of the solar panel mount of 00, 900, 1800, and a halogen lamp distance of 30 cm as the energy source for measurements. Measurement results based on design, temperature 46 0C and light 100% Keywords: Solar Panels, Solar Test Simulator, sun angle, inclination, design

Orientation system of solar panels based on a robot manipulator

Solar energy is one of the most interesting renewable energies, as it is an inexhaustible natural accumulation. The electrical energy generated depends on the performance of photovoltaic panels that is based on the direction of sunlight. The position of the sun changes during the day, even during the year, which imposes a system of automatic orientation of solar panels for this purpose, several devices have been proposed and marketed. In our article, we focus on the adaptation of a robot manipulator for orientation and positioning of solar panels, applying for the control system, the model of the robot controller. First, we present the robotic system, which is a well-mastered, and his order was the subject of several studies and applications, and the model of the robot used for controlling the system. Finally, we give the simulation results in two modes: Mode fixed facing south with an inclination of 45° and the robot tracking mode following the elevation and azimuth movements with two decoupled movement. The results found show a gain in terms of solar energy collected measured about 51%.

Dual Axis Solar Tracking System with Weather Monitoring System

This paper presents the design and implementation of a solar tracking system integrated with weather monitoring capabilities. The system is designed to maximize the efficiency of solar panels by continuously adjusting their orientation to track the sun's position throughout the day. In addition to solar tracking, the system incorporates weather monitoring sensors to collect real-time data on environmental conditions such as cloud cover, wind speed, temperature and light intensity. This data is utilized to dynamically adjust the solar panel's position to optimize energy production and system performance in varying weather conditions. The integration of dual-axis tracking with weather monitoring enhances the overall efficiency and reliability of solar energy systems, making them more adaptable to changing environmental factors and increasing their potential for renewable energy generation.

Prototype Development for Solar Energy Tracking Based on Arduino in QUEST Campus Larkana

The utilization of solar energy has become increasingly popular due to its renewable and sustainable nature. However, one of the primary challenges in solar energy harvesting is the optimization of the amount of energy that can be captured from the sun. The implementation of solar trackers is an effective solution that enables the automatic adjustment of the solar panel's position to face the sun throughout the day. In this project, an Arduino-based solar tracker prototype was designed and implemented to optimize the solar energy harvesting process. The system employs Light-Dependent Resistors (LDRs) to detect sunlight intensity and a servo motor to adjust the position of the solar panel accordingly. The system was programmed using the Arduino programming language and was tested using a small-scale solar panel. The increasing demand for cost-effective and easy-to-install renewable energy systems has led to a growing interest in photovoltaic solar energy for residential use. To optimize energy production, a two-axis photovoltaic solar tracker that orients the solar panel toward the maximum solar radiation is proposed in this study. The use of Free Computer Aided Design (CAD) 0.15 for the prototype's design, combined with Arduino technology, provides an affordable solution for mounting the solar tracker on flat roofs and other horizontal building elements. The performance of the solar tracker was evaluated under various testing conditions, showcasing an enhanced level of accuracy and energy production when compared to traditional fixed systems. The prototype's successful demonstration represents a significant advancement in the field, providing a practical solution for small-scale and residential solar energy applications. This research prototype was developed and installed on the roof of the Electrical department of QUEST, Campus Larkana, and validated through simulation results.

Optimizing Solar Energy Harvesting: An Arduino-Enhanced Dual-Axis Tracking System

Technological progress is enhancing the accessibility and potential of solar energy as a renewable source. This paper introduces a strategy leveraging Ohm's law and the power equation to derive additional energy from solar photovoltaic (PV) panels. The proposed method involves the integration of an automated solar tracking system employing both dualaxis and polar single-axis configurations. This system is comprised of a stationary vertical axis and a flexible horizontal axis, both under motor control. To enhance power output and efficiency, the trackers autonomously follow the sun, constantly adjusting the solar panel positions. The tracking system self-adjusts in the event of a 2 to 3-degree misalignment to minimize power loss due to continuous motor operation. Light intensity sensors analyze illumination levels on each side, guiding the panels toward the light source. The tracking motion continues until equal light exposure on both sides is detected, leading to an enhanced solar irradiance for the panels

Fuzzy Logic Control System for Optimizing Dual-Axis Solar Panel Tracking

The utilization of solar energy through solar panels has gained considerable attention in renewable energy applications. However, the effectiveness of energy conversion is hindered by the misalignment of solar panels with the incident sunlight. To address this issue, a dual-axis solar tracker system is proposed to automatically adjust the orientation of solar panels, enhancing energy generation efficiency. This research introduces a novel approach using a fuzzy logic control system to regulate the movement of stepper motors responsible for adjusting the solar panel positions. The system relies on input data from Light-Dependent Resistor (LDR) sensors to detect the sunlight’s position. Additionally, voltage, current, and angle sensors are integrated to accurately determine the solar panels angular position. The fuzzy logic control system employs the Mamdani method with Mean of Maximum (MOM) defuzzification. A comprehensive analysis of the systems performance was conducted, demonstrating that the manual calculations yielded 0.87 and 0.59 micro steps, while the Fuzzy Inference System (FIS) produced 0.35 and 0.26 micro steps. These results were verified through the serial monitor in the Arduino Integrated Development Environment (IDE). This research focuses on the development of a microcontroller-based two-axis solar panel control system using fuzzy logic. The system’s primary objective is to maximize solar energy utilization by ensuring that solar panels consistently align with the direction of sunlight, both vertically and horizontally. The proposed system offers an effective means of enhancing the efficiency of solar panel energy generation by continuously optimizing their alignment with the incident sunlight.