Power Degradation Research Articles

Influence of the downstream blade sweep on cross-flow turbine performance

Cross-flow turbine (known as vertical-axis wind turbines or “VAWTs” in wind) blades encounter a relatively undisturbed inflow for the first half of each rotational cycle (“upstream sweep”) and then pass through their own wake for the latter half (“downstream sweep”). While most research on cross-flow turbine optimization focuses on the power-generating upstream sweep, we use single-bladed turbine experiments to show that the downstream sweep strongly affects time-averaged performance. We find that power generation from the upstream sweep continues to increase beyond the optimal tip-speed ratio. In contrast, the downstream sweep consumes power beyond the optimal tip-speed ratio due to unfavorable lift and drag directions relative to rotation and a potentially detrimental pitching moment arising from rotation-induced virtual camber. Downstream power degradation increases faster than upstream power generation, such that downstream sweep performance determines the optimal tip-speed ratio. In addition to performance measurements, particle image velocimetry data are obtained inside the turbine swept area at three tip-speed ratios. This illuminates the mechanisms underpinning the observed performance degradation in the downstream sweep and motivates an analytical model for a limiting case with high induction. Performance results are shown to be consistent across 55 unique combinations of chord-to-radius ratio, preset pitch angle, and Reynolds number, underscoring the general significance of the downstream sweep.

Autophagy-Mediated Targeted Protein Degradation.

Autophagy is an evolutionarily conserved turnover process in eukaryotes, mediating the delivery of various cellular components to lysosomes for degradation and facilitating the recycling of the breakdown products to maintain homeostasis. By harnessing this powerful autophagy-lysosomal degradation system, strategies for targeted protein degradation (TPD) have been emerging to remove specific disease-related proteins (both intracellular and cell-surface proteins) for complete elimination of their functions, bringing new insights to drug discovery. Herein, we give a brief introduction on how autophagy works followed by a focus on available small-molecule and macromolecule-based strategies for TPD mediated by autophagy.

Power Production and Degradation of Pesticide Wastewater Through Microbial Fuel Cells with the Modified Activated Carbon Air Cathode by Hollow-Carbon and Carbon-Encapsulated Structures.

Microbial fuel cell (MFC) can degrade pesticide wastewater and recovery energy simultaneously, and the activated carbon (AC) air cathode has great prospects for practical application. However, insufficient active sites and the limitation of multi-step electron transfer for oxygen reduction reaction (ORR) requires that AC should be modified by highly efficient electrocatalysts. Herein, busing the confinement effect of carbon-encapsulated metal and hollow carbon, we designed a unique ORR catalyst of Fe-Fe3O4-NC through utilizing the 2D leaf-like nanoplates of Zn-ZIF-L to load Prussian blue (PB) particles. The volatilization of low-boiled Zn and the catalysis of iron compounds led to the formation of confined walls of hollow carbon shell and carbon-encapsulated Fe/Fe3O4 particles on N-doped carbon substrate. Multivalent iron, a large surface area (368.11 m2·g-1), N doping, a heterojunction interface, and the confinement effect provided all the Fe-Fe3O4-NC-modified AC air cathodes with excellent ORR activity. The optimal samples of AC-Fe-Fe3O4-NC-3 achieved a peak power density of 1213.8 mW·m-2, demonstrating a substantial 82.8% increase over that of the bare AC. Furthermore, its efficiency in glyphosate removal reached 80.1%, surpassing the 23.2% of the bare AC. This study offers new ideas in constructing composite confined structures and the as-designed Fe-Fe3O4-NC is a promising modification candidate for the commercial adoption of AC air cathodes.

Understanding Capacity Recovery Behavior Using Long-Term Stored Pouch Cells

Commercial lithium-ion batteries often experience capacity and power degradation when stored for extended periods after production. Interestingly, the reduced capacity can be partially recovered over time when the cells are cycled again, a phenomenon known as capacity recovery. However, it is difficult to separate the analysis of capacity recovery from the capacity decay during recycling. Additionally, the widely accepted explanation for capacity recovery, the passive anode effect (PAE), focuses solely on the lithium inventory within the overhang anode site. To address these challenges, we studied large-capacity LiNi0.4Co0.3Mn0.3O2/graphite pouch cells that were stored for 4 years. During recycling, the capacity gradually recovered over 120 cycles, and this fully recovered capacity was maintained for up to 500 cycles, indicating minimal additional capacity decay during recycling. Our investigation also highlighted the significant impact of breakdown and thinning of the calendar-aged solid electrolyte interphase (SEI) on the entire anode site, affecting both capacity and power recovery beyond just the PAE. Furthermore, by integrating both the PAE and breakdown of the calendar-aged SEI into a life prediction model, we were able to predict the capacity recovery behavior for up to 1000 cycles under various operating conditions. This comprehensive approach provides insights into understanding and predicting the long-term performance of lithium-ion batteries, particularly in relation to storage-induced capacity degradation and subsequent recovery during cycling.

Solvothermal synthesis of a flower-like double Z-scheme PANI/Bi2Sn2O7/BiOBr/Ti photoanode and its performance in photocatalytic fuel cell

Photocatalytic fuel cell (PFC) provides a new method to degrade organic pollutants and recover their energy simultaneously. In this work, a novel flower-like hierarchical photoanode (PANI/Bi2Sn2O7/BiOBr/Ti) was synthesized by solvothermal method and assembled with Cu cathode to form a PFC for rhodamine B (RhB) degradation and simultaneous power generation. The crystal structure, chemical composition, and morphology of the photoanode was characterized by a variety of analysis techniques. The photocatalytic activity of the ternary hierarchical composite photoanode was superior to that of single and binary composite photoanodes. Its maximum photocurrent density, maximum power density, degradation rate and FF were 0.241 mA·cm−2, 21.52μW·cm−2, 92.97 % (90 min) and 0.18, respectively. In addition, it still maintains high photocatalytic activity after five consecutive uses. Based on the analysis results of transient photocurrent (i-t), EIS, DRS spectrum, M-S curve and free radical capture experiments, the improvement of photocatalytic performance of PANI/Bi2Sn2O7/BiOBr/Ti photoanode is attributed to the formation of dual Z-scheme heterojunction between PANI and BiOBr and between Bi2Sn2O7 and BiOBr, which realizes the rapid separation and transfer of electron-hole pairs, and retains the strong oxidation of holes in VB of BiOBr and the strong reduction of electrons in LUMO of PANI and CB of Bi2Sn2O7. This study provides a new research idea for the design and construction of high efficiency photoanode in PFC system.

The impact of soiling on temperature and sustainable solar PV power generation: A detailed analysis

Soiling accumulation and high temperatures have a detrimental impact on the performance of solar photovoltaic modules. However, the effect of soiling on module temperatures remains a relatively unexplored area despite offering intriguing research possibilities. This study investigates the impact of soiling on solar photovoltaic modules, focusing on the variation in module temperatures. The research uses experimental investigations and a hybrid diode model to account for soiling losses. Furthermore, the model is employed to quantify the power reduction due to the temperature rise caused by soiling. The experimental investigations revealed that soiling deposition results in both substantial energy reductions and higher module temperatures. The soiling-induced variation in temperature profiles and corresponding power reductions on certain days was also analyzed. The results showed that the daily average reduction in power due to increased temperature was 0.614 %, 1.044 % and 1.31 %, while on the same days, the daily maximum reduction observed was 1.55 %, 2.53 % and 3.46 %, respectively. Thus, higher temperatures lead to substantial power degradation and may also affect the health of PV modules in the long run. The outcomes of this study emphasize the importance of addressing soiling-induced temperature variations, offering valuable insights for improved design and maintenance practices of power plants.

Anodic Commodity Polymer Recycling: The Merger of Iron-Electrocatalysis with Scalable Hydrogen Evolution Reaction.

Plastics are omnipresent in our everyday life, and accumulation of post-consumer plastic waste in our environment represents a major societal challenge. Hence, methods for plastic waste recycling are in high demand for a future circular economy. Specifically, the degradation of post-consumer polymers towards value-added small molecules constitutes a sustainable strategy for a carbon circular economy. Despite of recent advances, chemical polymer degradation continues to be largely limited to chemical redox agents or low energy efficiency in photochemical processes. We herein report a powerful iron-catalyzed degradation of high molecular weight polystyrenes through electrochemistry to efficiently deliver monomeric benzoyl products. The robustness of the ferraelectrocatalysis was mirrored by the degradation of various real-life post-consumer plastics, also on gram scale. The cathodic half reaction was largely represented by the hydrogen evolution reaction (HER). The scalable electro-polymer degradation could be solely fueled by solar energy through a commercially available solar panel, indicating an outstanding potential for a decentralized green hydrogen economy.

SOCIAL AND ENVIRONMENTAL INJUSTICE IN MORTAL ENGINES (2018) FILM: A STUDY OF POSTCOLONIAL ECOCRITICISM

This research aims to uncover the social and environmental issues depicted in Mortal Engines (2018) and explore the possible implications the film promotes from the disparity’s depiction concerning social and environmental justice. The study utilizes Huggan and Tiffin's Postcolonial ecocriticism and mise-en-scene theory, employing a descriptive-qualitative research method. The data is collected from the characters' dialogue and visual representations highlighting social and environmental injustice. The findings show that: 1) There are significant correlations and interconnectedness between different issues, resulting in social and environmental injustice within the film; 2) This injustice originates from ecological imperialism and is perpetuated by dualistic and binary thinking. These thinking patterns lead to bio-colonization, violence, abuse of power, marginalization, othering, and exploitation, contributing to power imbalances, social injustice, environmental racism, and degradation; 3) The depiction employs mise-en-scene, dialogue, symbols, allegory, visual language, and literary devices, the film effectively engages the audience and promotes social and environmental justice values; 4) The research also uncovers the film's role as an interventionist and counter-hegemony, advocating for social and environmental justice, decolonization, resistance, sustainability, humanity, and historicism.

Evaluating the Impact of Edge-Seal on the Performance of Double-Glass Solar Photovoltaic Modules

Solar energy is a vital component of the renewable energy landscape. Nevertheless, photovoltaic (PV) modules face numerous challenges during operation due to environmental stress factors, which can lead to various degradation issues such as delamination, encapsulant discoloration, corrosion of cell metallization, and potential-induced degradation. Ethylene-vinyl acetate (EVA), despite being a prominent encapsulant material, is notably vulnerable to moisture. Upon degradation, EVA releases acetic acid, severely impacting the long-term performance of PV modules. This study investigates the effectiveness of using a polyisobutylene-based edge-seal to minimize moisture ingress in double-glass modules. One-cell mini-modules encapsulated with EVA, with and without edge-seal, are subjected to damp heat testing (85°C / 85% RH) for up to 5000 hours and their performance are evaluated though current-voltage characteristics. Mini-modules without edge-seal exhibit a significant 70% loss in power, primarily due to a 37% decrease in short-circuit current, a 56% decrease in fill factor, and a staggering 650% increase in series resistance. However, mini-modules with edge-seal see only a 33% loss in power, driven mainly by a 21% decrease in fill factor and a 76% increase in series resistance. The use of edge-seal does not completely prevent but effectively reduces moisture ingress and mitigates its detrimental effects on module performance. Additionally, the Network Structural Equation Modeling approach is applied to analyze current-voltage characteristics, enabling the identification of statistically significant relationships, the construction of degradation pathway diagrams, and the determination of key factors contributing to power degradation. This analysis reveals increased series resistance and reduced fill factor as primary causes of power degradation for both mini-module configurations. Although the encapsulant materials exhibit minimal degradation in optical, chemical, and thermo-chemical properties, the presence of moisture within the module construction can still cause corrosion of cell metallization. This results in a decline in power performance even without substantial acetic acid formation. This study highlights the critical importance of preventing moisture ingress to enhance the durability and reliability of PV modules, ensuring their optimal performance throughout their intended service lifetime.

Electrical Performance and Degradation Analysis of Field-Aged PV Modules in Tropical Climates: A Comparative Experimental Study

Performance degradation is a prevalent phenomenon in solar photovoltaic systems globally, with varying aging profiles and effects depending on environmental and climatic conditions. This paper presents an extensive investigation of the electrical performance, aging mechanisms, and degradation analysis of field-aged PV modules under the tropical climate of Malaysia. Utilizing a combination of visual inspection, I-V curve measurement, and thermal imaging techniques, this research provides a comprehensive assessment of the electrical and thermal properties of field-aged PV modules from two locations in Malaysia over extended periods (8 years at UMPSA and 10 years at Pasir Mas). The multi-faceted approach of the study allows for a deeper understanding of the degradation process, offering insights into the causes and effects of higher current and lower voltage in aged modules. The study found the average annual degradation rates at UMPSA were 0.3% for open circuit voltage (Voc), 0.23% for short circuit current (Isc), 0.81% for maximum power (Pmax), and 0.35% for fill factor (FF) and at Pasir Mas, the average annual degradation rates were 1.124% for Voc, −0.166% for Isc, 1.276% for Pmax, and 0.43% for FF. The study also found that monocrystalline silicon (m-Si) panels experienced an average power degradation of 6.48%, while polycrystalline silicon (p-Si) panels showed a higher degradation of 12.76%. However, Thermal imaging revealed significant temperature variations across the modules, with hotspots reaching up to 11.2 °C above cooler areas in UMPSA panels and an even more pronounced 26.1 °C difference in Pasir Mas modules. These temperature disparities highlight the uneven heat distribution and potential performance issues in the panels. This research contributes to the understanding of PV module degradation in tropical climates and aligns with sustainable development, climate change mitigation efforts, and SDG 7 by promoting sustainable energy solutions.

Driving Wi-Fi IoT Sensors by a Hybrid Magneto-Mechano-Electric Energy Generator Extracting a Power of over 50mW.

Energy harvesting technology is mainly used as a power source for driving Internet of Things (IoT) devices. However, the output power of conventional harvesting devices are limited, suitable only for low-power-consumption IoT sensors based on Bluetooth communication. In contrast to Bluetooth, wireless fidelity (Wi-Fi) communication offers superior real-time monitoring and transmission capabilities, but requires more power in the range of hundreds of milliwatts or higher. Therefore, the hybridization of three energy conversion devices, namely, piezoelectric magneto-mechano-electric (MME) generator, electromagnetic (EM) induction coil, and triboelectric nanogenerator (TENG) is proposed as a standalone power source for Wi-Fi communication sensors. By integrating these three mechanisms, the hybrid MME energy harvester can achieve an output power exceeding 50mW at the second harmonic resonance condition under the alternating current (AC) magnetic field of 10Oe. Furthermore, it can successfully drive the Wi-Fi sensor, enabling continuous real-time monitoring without the degradation of charged power in a supercapacitor. These results highlight that energy harvesting technology is not limited to low-power devices but can also be applied to Wi-Fi communication sensors and beyond.

Bayesian Approach for Estimating the Parameters of the Time-To-Failure Distribution and Its Percentiles Under Power Degradation Model

The degradation models are often applied on the degradation data for studying time-to-failure distribution. In this study, the Bayesian approach is applied on the power degradation model for estimating the parameters of the time-to-failure distribution and its percentiles. Two different distributions are assumed for the degradation parameter of the model. The degradation parameter is firstly assumed to follow the skew-normal distribution with three jointly independently distributed parameters such that the gamma prior is assumed for the shape parameter, while the scale and the location parameters are assumed uniform. The second distribution assumed for the degradation parameter is the log-logistic distribution with two jointly independent random parameters where the shape parameter is assumed gamma, while the scale parameter is assumed uniform. Based on the Gibbs sampling method carried out under the JAGS platform, the models considered are applied on the simulated data and the NASA turbofan Jet engine dataset and the results found are compared. In modeling the time-to-failure distribution, it is shown that based on the simulated data and real data, the Bayesian approach for the power degradation model with the skew-normal degradation parameter outperformed the Bayesian approach for the power degradation model with the log-logistic degradation parameter.

Voices From the Fringes: The Eco-Poetics of Niger Delta Women

To say that the Niger Delta literature or the poetics of extraction in the Delta has attracted numerous scholarly engagements is an understatement. However, most of the critical works written about the Niger Delta have been by male writers such as Gabriel Okara, Ken Saro-Wiwa, Tanure Ojaide, Ogaga Ifowodo, Nnimmo Bassey and others who are known for drawing attention to the environmental despoilment and the suffering of the various Indigenous communities of the Delta. In this article, I am interested in the framing of the Delta by female poets from the region. Building on Gayatri Spivak’s concept of the subaltern, I ask, are Niger Delta women writing? And if so, how do they contextualise women and nature in their poetic imagination? Mindful of the complexities in the region, what literary devices do they employ to aid their navigation of the murky confluence of state power, multinational corporations, and environmental degradation that abounds in the region unabated? This work applies the theoretical positions of ecofeminist scholars to the close reading of select poems from Sophia Obi’s Tears in a Basket (2005), Ekaete George’s Saints and Scoundrels (2018), and Iquo DianaAbasi’s Coming Undone as Stitches Tighten (2021).

Visible-light driven O2-to-H2O2 synchronized activation of peroxymonosulfate in Z-scheme photocatalytic fuel cell for wastewater purification with power generation

Antibiotics are recognized as emerging contaminants with non-biodegradation, complex structures, and abundant chemical energy, which are difficult to treat and recover energy through traditional wastewater treatment processes. A Z-scheme photocatalytic fuel cell (PFC) system, comprising C3N5 and CuO/Cu2O dual-photoelectrodes, has been developed for simultaneous power generation and degradation of antibiotics, such as berberine hydrochloride (BH). Especially, the C3N5 with its suitable energy potential for peroxymonosulfate (PMS) activation is synchronized with CuO/Cu2O, resulting in enhancing the performance of PFC system. Moreover, the interaction between PMS and Cu(I)/Cu(II) active sites on the photocathode can enhance the formation of highly reactive species (HRS) in the PFC-PMS system, thereby improving photocatalytic oxidation performance. Under visible-light illumination for 120 min, PFC-PMS system can rapidly and effectively oxidize BH (ca. 99.2 %, k = 0.0039 min−1) with simultaneous power generation (0.018 mW cm−2). This approach presents a promising approach for both water cleanup and energy reuse applications.

Legal Certainty of the Proof Power of Notary Deeds in the Concept of Cyber Notary according to Indonesian Positive Law

The development of technology in the field of notary in the digital era requires notaries to provide public services in accordance with their roles and authorities based on cyber notary. Therefore, the urgency of this study is to analyze the guarantee of legal certainty over the evidentiary power of Notarial Deeds made in the concept of cyber notary along with all the legal consequences that arise, especially for agreements that are required to be in the form of Authentic Deeds. This study is a normative legal research conducted by examining library materials or secondary data which is also commonly referred to as literature study research. This study concludes that there is no legal certainty regarding the evidentiary power of notarial deeds made in the concept of cyber notary according to Indonesian positive law because there are no clear regulations regarding cyber notary based on Law No. 2 of 2014 concerning Amendments to Law No. 30 of 2004 concerning Notary Positions and Law No. 11 of 2008 concerning Information and Electronic Transactions. There is a degradation of the evidentiary power of notarial deeds which should be authentic deeds that have perfect evidentiary power into private deeds. Such conditions will also ultimately result in the failure to fulfill the formal agreement elements required by legislation and have a further impact on the fulfillment of obligations under legislation that require the use of a notarial deed.

Generative adversarial networks with deep blind degradation powered terahertz ptychography

Ptychography is an imaging technique that uses the redundancy of information generated by the overlapping of adjacent light regions to calculate the relative phase of adjacent regions and reconstruct the image. In the terahertz domain, in order to make the ptychography technology better serve engineering applications, we propose a set of deep learning terahertz ptychography system that is easier to realize in engineering and plays an outstanding role. To address this issue, we propose to use a powerful deep blind degradation model which uses isotropic and anisotropic Gaussian kernels for random blurring, chooses the downsampling modes from nearest interpolation, bilinear interpolation, bicubic interpolation and down-up-sampling method, and introduces Gaussian noise, JPEG compression noise, and processed detector noise. Additionally, a random shuffle strategy is used to further expand the degradation space of the image. Using paired low/high resolution images generated by the deep blind degradation model, we trained a multi-layer residual network with residual scaling parameters and dense connection structure to achieve the neural network super-resolution of terahertz ptychography for the first time. We use two representative neural networks, SwinIR and RealESRGAN, to compare with our model. Experimental result shows that the proposed method achieved better accuracy and visual improvement than other terahertz ptychographic image super-resolution algorithms. Further quantitative calculation proved that our method has significant advantages in terahertz ptychographic image super-resolution, achieving a resolution of 33.09 dB on the peak signal-to-noise ratio (PSNR) index and 3.05 on the naturalness image quality estimator (NIQE) index. This efficient and engineered approach fills the gap in the improvement of terahertz ptychography by using neural networks.

Simultaneous access to high normalized density, current, pressure, and confinement in strongly-shaped diverted negative triangularity plasmas

Strongly-shaped diverted negative triangularity (NT) plasmas in the DIII-D tokamak demonstrate simultaneous access to high normalized density, current, pressure, and confinement. NT plasmas are shown to exist across an expansive parameter space compatible with high fusion power production, revealing surprisingly good core stability properties that compare favorably to conventional positive triangularity plasmas in DIII-D. Non-dimensionalizing the key parameters, expanded operating spaces featuring edge safety factors below 3, normalized betas above 3, Greenwald density fractions above 1, and high-confinement mode (H-mode) confinement qualities above 1 are observed, even simultaneously, and all with a robustly stable edge free from deleterious edge-localized mode instabilities. Scaling of the confinement time with engineering parameters reveals at least a linear dependence on plasma current although with significant power degradation, both in excess of expected H-mode scalings. These results increase confidence that NT plasmas are a viable approach to realize fusion power and open directions for future detailed study.

Photovoltaic energy harvesting booster under partially shaded conditions using MPPT based sand cat swarm optimizer

Photovoltaic (PV) systems perform a vital role in addressing the worldwide energy crisis and fulfilling the escalating energy demand. The variability in irradiance, temperature, and unpredictable weather conditions possess a direct impact on the productivity of PV systems. Furthermore, the existence of partially shaded conditions intensifies the complexity of PV systems, resulting in significant power degradation. These conditions present significant challenges for PV systems to achieve maximum power output and produce optimal energy. To address the prevailing challenges, this study introduces a maximum power point tracking (MPPT) control methodology utilizing a sand cat swarm optimizer (SCSO). This ingenious strategy adapts the sand cat hunting style. The investigation centers on optimizing energy harvesting in PV systems, with a specific emphasis on enhancing precision, rapid convergence, and minimizing oscillations. The suggested SCSO performance is evaluated under a variety of weather situations, including both instances of partially shaded and uniform irradiance. The SCSO results are juxtaposed with other existing bio-inspired algorithms, such as grey wolf optimization (GWO), particle swarm optimization (PSO), and tunicate swarm algorithm (TSA). The proposed SCSO technique achieves 99.94 % tracking accuracy on average and shows superior performance, with faster tracking response and less power oscillation. Moreover, the proposed SCSO generates significantly more energy than the rest compared algorithms. The performance of the suggested method is further validated through a hardware-based experimental assessment, demonstrating an optimal level of tracking performance.

Study on the Degradation Performance of AlGaN-Based Deep Ultraviolet LEDs under Thermal and Electrical Stress

AlGaN-based deep-ultraviolet (DUV) LEDs could realize higher optical power output when adopting a p-AlGaN contact layer instead of a p-GaN contact layer. However, this new type DUV LEDs exhibit poor reliability. Thus, this study thoroughly investigates the degradation behaviors of AlGaN-based DUV LEDs with a p-AlGaN contact layer through different aging tests, including single thermal stress, single electrical stress with air-cooling, single electrical stress, and thermoelectric complex stress. It can be found that both high temperature and large working current play crucial roles in accelerating the degradation of optoelectronic properties of the DUV LEDs, and the single high thermal stress without electrical stress can also bring obvious performance degradation to the DUV LEDs, which is a significantly different finding from previous studies. This is because thermal stress on DUV LED could bring some metal electrode elements entering the p-AlGaN layer. Thus, the degradation of optical and electrical properties under the thermal and electrical stress could be not only attributed to the degradation of the device’s ohmic contacts, but also due to the metal electrode elements entering the p-AlGaN layer through thermal diffusion, leading to the generation of tunneling current and the generation of defects within or around the active region. Despite that the peak wavelengths of the DUV LEDs remained stable, the turn-on voltage and series resistance increased. Particularly worth mentioning is that the value of the optical power degradation under thermoelectric conditions is larger than the sum of the single thermal and single electrical optical power degradation, which is a result of the mutual reinforcement of thermal and electrical stresses to exacerbate the defect generation and ohmic contact degradation. Based on the study above, preparing p-AlGaN layers with hyperfine gradient aluminum fractions and reducing the junction temperature may help to improve the reliability of AlGaN-based DUV LEDs with the p-AlGaN contact layer.

Optimizing PV Module Efficiency: Investigating the impact of Dry and Wet Dust on Solar Panel Output Power

Solar photovoltaic modules convert sunlight into electricity through the photoelectric effect. Dust accumulation on PV modules can significantly reduce their output electrical characteristics such as voltage, current, and power. The power reduction is attributed to the decrease in the amount of light reaching the solar cells due to the absorption and scattering of light by the dust layer. The magnitude of the power reduction depends on the amount and type of dust component of the solar panel. In this work, four dust components such as red soil, sand, wood power, and bird drooping are considered to test the PV performance. An indoor experimental setup is developed to test the dust impact on the PV modules using an artificial sun simulator. Experimental shows that the effect of dust accumulation on the voltage and current characteristics of solar panels is complex and depends on various factors. The percentage of degradation of output power is measured using dust under dry and wet conditions. Moreover, different amounts of dust such as 1gm, 3gm, 5gm, 7gm, and 9gm are considered for dry conditions, and 3gm and 5gm are considered for wet conditions. Bird drop causes a maximum degradation of 24.5% in dry conditions and it reduces by 17.2% in wet conditions. GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 10(1), 2023 P 68-74