Photovoltaic Systems - Science topic

This paper aims to investigate the improvement of the low voltage ride-through (LVRT) in grid-connected photovoltaic (PV) systems by applying the Gold Rush Optimization (GRO) algorithm to design system PI controllers. This paper overviews the significance of LVRT in PV systems, emphasizing its importance for grid stability and regulatory compliance...

Floating photovoltaic (FPV) systems are gaining traction as an innovative renewable energy solution, especially in areas where land is scarce or highly contested. Unlike traditional ground-mounted solar farms, FPVs take advantage of unused water surfaces, improving module efficiency through natural cooling while also reducing land-use conflicts and...

This research investigates the integration of life cycle impact assessment (LCIA) and building performance simulation (BPS) to evaluate the whole-life carbon performance of residential building renovations. A representative post-World War II single-family house in Belgium is used to analyze six renovation scenarios that combine petrochemical and bi...

This paper explores the guidelines of edge computer vision, using the TinyML technique, to remove dirt from photovoltaic modules, to optimize photovoltaic energy generation and extend the lifespanof the modules. The research used two photovoltaic cells: one clean with and without shading and the other with dust. The images were collected with an Es...

The present paper aims to design a photovoltaic system (PV), as well as a solar water heater system (SWHS) for domestic house diamonds in Iraq using system advisor model (SAM) software. The methodology provided in this study could guide designers in the use of SAM software for energy-efficient houses. The PV system is tested at various combinations...

The present work presents an innovative methodology aimed at improving the reliability of electricity provision for isolated photovoltaic (PV) installations located in regions with fluctuating weather patterns. The proposed scheme incorporates a single-phase, dual-input simplified split-source inverter (denoted as \documentclass[12pt]{minimal} \use...

Food losses in developing countries occur predominantly during harvest and post-harvest stages due to inadequate infrastructure for processing agricultural produce into value-added products with an extended shelf life. Dehydration represents an effective method for preserving and enhancing the value of fruits and vegetables; however, conventional t...

Air-water heat pumps are gaining interest in modern architectures, and they are a suitable option as a replacement for fossil fuel-based heating systems. These systems consume less electricity by combining solar panels, a heat pump, thermal storage, and a smart control system. This study was applied to a completely ecological rural health sub-cente...

In this review, the key limitations of existing photovoltaic (PV) systems in respect to efficiency are pointed out at their best, an issue which becomes even more pressing due to performance drop off those results from temperature, especially under fluctuations in solar irradiance. Thermal management techniques must ensure that the energy conversio...

Partial shading of PV modules often results in a negative impact, generating less electricity and causing unanticipated power losses. In addressing these issues, static techniques are frequently considered due to their affordable, low-complexity solution for optimal reduction of loss. The initial method of reconfiguration involves sensors to monito...

Photovoltaic systems are crucial for renewable energy, and comparing microinverters and central inverters helps optimize their performance and cost. This study compared the profitability and efficiency of photovoltaic systems with microinverters and central inverters in Villanueva, Honduras. Over seven days of analysis, the performance of both syst...

Honduras depends mainly on fossil fuels for electricity generation, with the need to diversify its energy matrix. This study presents a CNN-based system for estimating rooftop photovoltaic potential in San Pedro Sula, Honduras. A convolutional neural network was trained on aerial imagery from nearby cities to detect and segment rooftops, achieving...

This study investigates the relative benefits of solar thermal (ST) and photovoltaic (PV) systems integrated with air-source heat pumps for domestic hot water production in newly built residential buildings. Using calibrated DesignBuilder simulations of “The Future Home” located in Energy House 2.0, an environmental chamber, the study analyzes ener...

Photovoltaic (PV) systems have experienced rapid global deployment. However, line-to-line short-circuit faults pose serious safety risks and can lead to significant power losses or fire hazards. While existing fault detection methods can identify fault types, they cannot precisely locate fault positions, resulting in time-consuming and costly maint...

Grid-tied solar photovoltaic systems use a PWM-VSI STATCOM to regulate active and reactive power. Due to high reactive power demand, often it has been experienced that there is a decay in reactive power supply which may cause malfunction in the load side equipments. The STATCOM balances power variations caused by solar irradiation and ensures const...

The intent of this paper is to propose an optimistic sine–cosine algorithm (OSCA) that has more chances to target optimal schedules than its classical version. A successful attempt is made to solve dynamic multi-area hybrid generation dispatch models to meet hourly load, combining power generation from large-wind farms and solar power using photovo...

Due to the frequent occurrence of faults in photovoltaic (PV) systems, effective and reliable fault diagnosis methods are essential to ensure optimal energy production. In this study, we propose two complementary approaches for fault detection in PV modules. The first method is a hybrid machine learning strategy combining Random Forest and Gradient...

Floating photovoltaic (FPV) systems are designed for free water surface installations to provide a feasible solution for places with no availability of land areas and to avoid land-use conflicts caused by conventional solar energy farms. However, lakes and reservoirs are essential for ecosystem services like water supply and biodiversity support. I...

This research arises from the growing need to reduce energy consumption and CO2 emissions in the hotel sector, which has traditionally relied on centralized heating systems based on fossil fuels. The primary objective of this study was to determine which of these solar technologies, photovoltaic or solar thermal, offers greater benefits in terms of...

Integrating Distributed Generations (DGs) within adaptive power grids is a highly effective approach to reducing electricity losses and minimizing generation and switching costs in contemporary electric systems. The efficiency of these strategies is heavily influenced by consumer load profiles, which significantly affect energy losses, generation e...

The search for sustainable energy alternatives is urgent in the face of climate change and resource scarcity. In this context, increasing energy efficiency in buildings through distributed energy resources (DERs) is crucial for sustainability and self-sufficiency. This article aims to analyze the impact of several energy efficiency actions, in addi...

Photovoltaic systems are increasingly recognized as one of the most advanced, efficient, and rapidly developing methods of electricity generation, utilizing the limitless potential of solar radiation while offering environmentally sustainable solutions to contemporary energy challenges. However, despite their clear benefits, issues such as high ini...

Cet article présente une méthode simple, rigoureuse et accessible pour estimer la consommation énergétique journalière d'une maison en vue de son alimentation par un système photovoltaïque autonome. La méthode repose sur une modélisation mathématique directe de la consommation de chaque appareil, en fonction de sa puissance, de sa durée d’utilisati...

Photovoltaic systems (PVS) exhibit variability in their maximum power point (MPP) output due to variations in irradiance and cell temperature. This can lead to reduced efficiency, as maximum power point tracking (MPPT) algorithms often have slow response times and limited ability to adapt to rapidly changing environmental conditions. New algorithms...

Introduction With the acceleration of urbanization and the continuous growth in energy demand, distributed photovoltaic (PV) systems have attracted increasing attention as a sustainable energy solution. In practical deployment, the 3-D structure of buildings significantly affects their photovoltaic potential. Methods To more comprehensively assess...

Maximum power point tracking (MPPT) is a pivotal technology for photovoltaic (PV) systems. Due to variations in light intensity and temperature, the output characteristic curve of the photovoltaic system exhibits multi-peak phenomena, and traditional MPPT algorithms perform poorly in complex and changing environments. Therefore, this paper proposes...

The growing adoption of electric vehicles (EVs) necessitates an extensive and efficient charging infrastructure, which must be reliably integrated into the smart grid. However, uncoordinated deployment of Electric Vehicle Charging Stations (EVCS) can compromise grid reliability, increase power losses, and contribute to environmental burdens. This r...

The photovoltaic conversion efficiency of solar cells critically depends on electron transport and mass diffusion at electrode‐electrolyte interfaces. In this study, innovative BCN@Fe3C and PCN@Fe3C heterojunction catalysts are developed through tuning their energy band structure and surface reactions. The designed configurations utilize the metall...

This paper presents a conceptual approach to enhancing solar energy conversion efficiency using the Quantum Energy Stream Theory (QEST). Departing from conventional material-based improvements, the proposed model emphasizes the synchronization of energy, damping, frequency, and temporal phase in photovoltaic systems. Without disclosing any propriet...

This study presents an innovative control approach for enhancing the efficiency and power quality of grid-connected photovoltaic (PV) systems using linear matrix inequality (LMI) techniques. The primary objective is to develop a robust maximum power point tracking (MPPT) controller that ensures maximum energy extraction under varying solar irradiat...

This paper provides an in-depth analysis of photovoltaic (PV) system control within the MATLAB/Simulink environment, focusing on optimizing Maximum Power Point Tracking (MPPT) algorithms for enhanced efficiency under dynamic conditions. While conventional algorithms are widely used, their performance is limited under fluctuating conditions. To addr...

Objective: The objective is to evaluate the impact of capital cost and the financial viability of a photovoltaic system project through an analysis of the construction of a power plant for energy generation in a Brazilian cosmetics company holding. Theoretical Framework: The study highlights theories on renewable energy sources in Brazil, Distribut...

This paper proposes a single-phase photovoltaic (PV) multi-array single DC bus seventeen-level cascaded switched capacitor multi-level inverter (CSC-MLI). Two boost converters are employed to extract maximum power, one for each PV string, and the output of each boost converter is connected to a single DC bus collector. A new 17-level CSC-MLI topolo...

Improving the efficiency of photovoltaic (PV) power generation and minimizing power loss are critical challenges in PV systems. Traditional maximum power point tracking (MPPT) methods, such as the perturbation and observation (P&O) and incremental conductance (INC) methods, suffer from significant power oscillations at steady state and slow trackin...

This article introduces the linear quadratic regulator (LQR) control and the hybrid linear quadratic regulator proportional-integral (LQR-PI) control, both applied to a photovoltaic system coupled with a DC-DC boost converter. The converter outputs direct current electrical energy to power direct loads. Two robust control correctors, based on the L...

The efficiency of photovoltaic systems is not very high, but the initial investment costs are high. Simulation programmes are used to determine the efficiency of the photovoltaic system to be installed and to calculate the energy production values. However, there are differences between the simulation data of the photovoltaic system and the actual...

To optimize the electrical output of a photovoltaic system, maximum power point tracking (MPPT) methods are commonly employed. These techniques work by operating the photovoltaic system at its maximum power point (MPP), which varies based on environmental factors like solar irradiance and ambient temperature, thereby ensuring optimal power transfer...

The prediction of global horizontal irradiance (GHI) is crucial due to the rapid growth of photovoltaic energy, a sustainable and increasingly important source in the global energy landscape. The Northeast region of Brazil has exceptional potential for solar energy generation, thanks to its high levels of solar radiation throughout the year. This u...

The angle of tilt between solar panels and the horizontal plane determines the amount of solar radiation falling on the panel. Therefore, selecting an optimal tilt angle is essential to maximize captured solar irradiance. Due to the complexity and cost of solar tracking systems, it is often preferable for panels to be installed at a fixed tilt angl...

This paper presents the best modeling and control strategies for a grid-connected hybrid wind-solar power system to maximize energy production. For variable wind speeds, determine the optimal power point using fuzzy logic control, adopt an adaptive hill climb searching method, and compare it with an optimal torque control method for large inertia w...

This research investigates on simulation of a traditional cascaded H-bridge (CHB) five-level inverter and proposes a nine-level cascaded H-bridge inverter system. The performance of both five-level and nine-level inverter systems is evaluated by modeling and simulating the open-loop system. According to the simulation results, the nine-level multil...

This paper presents an enhanced asymmetrical fuzzy logic control (AFLC) based maximum power point tracking (MPPT) algorithm designed for photovoltaic (PV) systems under partial shading conditions (PSCs). With the increasing global energy demand and growing environmental concerns, maximizing solar energy efficiency has become more essential than eve...

Combining highly concentrated photovoltaic (HCPV) modules and battery storage systems attain high power- density than other ones using separate elements. This work aims to examine the performance of electric vehicle (EV) charging station utilizing an HCPV system integrated with lithium-ion batteries in Kuwait. HCPV system is integrated with EV, bat...

To confront climate change and the shortage of fossil fuels, countries are turning to renewable energies, particularly solar energy, which is an abundant, inexhaustible energy with a low environmental impact. In Mali, hydraulic and thermal energy sources are insufficient, and the country has been facing a huge energy crisis in recent years. For thi...

Solar electricity is usually a ubiquitous photovoltaic (PV) power source that converts sunlight into electricity. This makes solar energy a key factor in meeting the growing global demand. However, solar energy production from photovoltaic cells can be limited by many factors, so the power source needs to be optimized to reach the maximum level. On...

Electricity stability is decreased and both harmonics and losses are increased throughout the power conversion procedures. The drawbacks of conventional inverters may be addressed with the help of new multilayer inverter designs. Lately, multilevel inverter techniques have become more and more well-liked as an affordable substitute for a range of i...

Under variable weather conditions, accurately predicting the power output of photovoltaic (PV) power plants using ground-based cloud image segmentation techniques is challenging due to the large amount of data and computational resources required. To address this, we propose a distributed photovoltaic cluster power prediction model that integrates...

This paper explores deep energy retrofits for office buildings in El Salvador, aiming for net-zero energy performance while keeping acceptable indoor thermal comfort conditions for occupants. While much research focuses on new construction, retrofitting older buildings is crucial for sustainability, especially in tropical climates. Using energy mod...

Water is imperative for survival, especially for living organisms and their biology. Water is essential for everyday use. Integrating solar photovoltaic systems and water supply provides a cost-effective mechanism to cater to the water scarcity problem; however, conventional water supply systems have a water pump and reservoir for water storage wit...

As the proportion of renewable energy continues to increase, the large-scale grid integration of photovoltaic (PV) generation presents new technical challenges for reactive power balance in power systems. This paper proposes a coordinated reactive power and voltage optimization method based on Filtered Multiband Decomposition (FMD). First, to addre...

Dentre as fontes de geração de energia alternativa, a energia solar fotovoltaica tem se destacado entre as principais. E foi em 2012, a partir do uso de tecnologias como a Geração Distribuída, que foi regulamentado para que o brasileiro pudesse gerar sua própria energia. E foi previsto que essa norma passaria por uma revisão em 2019. Sendo assim, e...

Solar energy systems are well known for their eco-nature and cost-effectiveness as they gain more traction with lower installation expenses and enhanced efficiency levels over time. Traditional maximum power point tracking (MPPT) methods perform effectively in uniform irradiance conditions but encounter difficulties in identifying global maximum po...

Photovoltaic (PV) technology is essential for achieving net-zero emissions by 2050. PV system efficiency is highly sensitive to irradiance, temperature, and shading. However, accurate parameter identification is critical for modeling, as PV models often exhibit multi-modal and strongly coupled characteristics. In addition, commercial datasheets typ...

Cable-suspended photovoltaic (PV) systems have gained traction due to their lightweight structure and adaptability to complex terrains. However, the wind-induced vibration behavior of these systems, particularly the contribution of glass–glass PV modules to structural stiffness, remains inadequately addressed in current design codes. This study pre...

Differential power processing (DPP) architectures are effective solutions for photovoltaic (PV) systems experiencing uncertainties in environmental conditions, such as non-uniform irradiation, which can significantly degrade electricity production efficiency and operating safety. Among the different architectures available, the PV-to-bus DPP config...

In this work, we designed, built and tested a mini station for measuring solar irradiation, temperature and air humidity at the Higher Institute of Technology (IST), Mamou. For this purpose, we designed a device far from any shading, consisting a 2m in three-piece of mast topped by a squaresh tube bar to which the pyranometer, temperature and humid...

As the global energy demand raises, renewable energy sources are considered as the reliable option to meet the growing energy demands. The grid-tied photovoltaic (PV) systems gained more significant scope in last few years because of their eco-friendly nature but limited due to prevalent power quality issues including harmonics distortion, and lowe...

The deployment of solar photovoltaic (PV) systems has led to significant challenges in managing redundant energy, also known as excess, wasted, or surplus energy, necessitating comprehensive analysis of existing research and future directions. This study employed bibliometric analysis to investigate global research trends and innovations in managin...

This study simulates the thermal behaviour of floating photovoltaic modules under varying conditions of plane-of-array irradiance, wind speed, air temperature, and water temperature. A transient, one-dimensional finite difference model calculates cell temperature, efficiency, and power output. Validated using 46 days of experimental data from a flo...

The dependence of photovoltaic system performance on variable weather conditions influences their reliability and efficiency. In order to contribute to solving these problems, a hybrid algorithm combining the basic perturb and observe (P&O) technique and Integral Backstepping Controllers (IBSC) for the control of the boost converter and the single-...

Bài báo này trình bày một cấu hình DC-DC tăng áp có khả năng cung cấp một điện áp đầu ra DC cao dựa trên kỹ thuật chuyển tụ SC (Switch Capacitor - SC), được gọi là cấu hình tăng áp dựa trên kỹ thuật chuyển tụ (SCBC). Cấu hình SCBC được xây dựng trên nền tảng cấu hình DC-DC tăng áp truyền thống, kết hợp thêm năm tụ điện và năm diode để nâng cao độ l...

This paper presents the results of an economic and technical analysis of a hybrid system photovoltaic and fuel cells, in which the installed capacity of the photovoltaic system is fixed at 1 MW. The study utilizes weather data from NASA to determine the output capacity of the photovoltaic system, thereby evaluating the efficiency of varying the fue...

The sustainable growth of energy solutions depends on the incorporation of renewable energy sources into grid connected systems. This study describes a grid tied photovoltaic (PV) system that uses a modified Luo converter and Maximum Power Point Tracking (MPPT) based on an Adaptive Neuro Fuzzy Inference System (ANFIS). The proposed system integrate...

The performance of photovoltaic (PV) systems is highly influenced by a complex set of climatic and industrial parameters. This study aims to identify the most significant factors affecting PV power output by combining a predictive modeling approach using multiple linear regression with a multivariate statistical analysis based on Principal Componen...

Energy development based on renewable energy has gained widespread acceptance in society, especially in recent years. Among the initiatives currently being promoted are those promoted by higher education institutions that utilize available space on their campuses by configuring energy systems to incorporate renewable generation technologies. This s...

The accumulation of dust on photovoltaic modules in arid and semiarid regions results in significant energy losses. However, evaluating these losses in different locations is complex, time‐consuming, and expensive. To address this challenge, our study collected dust samples from various sites and conducted soiling experiments in the laboratory usin...

Following the authors’ two contributions “Legal Framework of Agrivoltaics in Germany” [1] and “New Legal Framework of Agrivoltaics in Germany” [2] in previous proceedings of the AgriVoltaics conference series, this study summarizes changes of and complements to the legal framework for agrivoltaics in Germany that have been implemented after April 2...

Environmental and temporal conditions, particularly dust accumulation, can significantly impact the performance of photovoltaic solar panels, potentially reducing their efficiency by up to 20%, and thereby affecting profitability. Accurately estimating these losses is crucial for optimising maintenance and avoiding unforeseen losses. Various models...

A simulation model was developed to determine the power generated by a Photovoltaic-Thermoelectric Generation System (PV-TGS). The model yielded results that differed from those previously reported by other authors for PV panels and cells by a range of -0.017% to +1.74%. In thermoelectric production, the results deviated by a range of -2.27% to -2....

We present a large real-world dataset obtained from monitoring a smart company facility over the course of six years, from 2018 to 2023. The dataset includes energy consumption data from various facility areas and components, energy production data from a photovoltaic system and a combined heat and power plant, operational data from heating and coo...

Yield and loss prediction plays an important role in the planning and operation of solar PV systems. The performance of a solar PV system depends on the location, system design, field of view, and the orientation of the solar panels in a given system. Some design and simulation tools are designed by professionals to connect to efficient planning an...

Photovoltaic (PV) modules under partial shading conditions exhibit multiple peaks in their power-voltage (P-V) characteristics, making maximum power point tracking (MPPT) more challenging. Traditional MPPT methods often fail to locate the global maximum power point (GMPP) in such conditions, leading to suboptimal energy harvesting. A novel MPPT app...

A solar photovoltaic system (SPV) with MPPT battery charge controller is employed for meeting the load demand during stable operation. Artificial Neural Networks (ANN) based MPPT technique is employed along with Solar PV system as they can provide improved response in terms of speed , accuracy and robustness under various environmental conditions....

The efficiency of photovoltaic (PV) systems significantly decreases under partial shading conditions (PSC), leading to challenges in accurately tracking the maximum power point (MPP). This paper presents an enhanced Artificial Neural Network (ANN) to improve the performance of MPP tracking (MPPT) in PV systems subject to PSC. The proposed algorithm...

Rising temperatures are intensifying residential cooling demands in hot–arid regions, with national building codes playing a pivotal role in mitigating these effects. This study evaluates the energy performance of two high-density residential buildings, Noor City in Cairo and Banan City in Riyadh, using DesignBuilder version 7.0.2.006 simulations f...

The purpose of this study was to investigate the long‐term reliability of various photovoltaic technologies in Japan under humid subtropical climatic conditions. The five investigated technologies were p‐type aluminum back surface field (Al‐BSF) single‐crystalline silicon (p‐type Al‐BSF sc‐Si), p‐type Al‐BSF multi‐crystalline silicon (p‐type Al‐BSF...

This paper focuses on the latest studies and applications of Photovoltaic (PV) systems and Energy Storage Systems (ESS) in buildings from perspectives of system configurations, mathematic models, and optimization of design and operation. Mathematical models, which can accurately calculate PV yield and support integrating green electricity and energ...

As global interest in sustainable energy solutions intensifies, inverted chalcogenide solar cells have gained significant attention for their promising combination of cost-effectiveness, efficiency, and customizable light-absorption capabilities. This review provides a comprehensive analysis of the structure, working principles, manufacturing appro...

This study monitored the conditioning of rainbow trout (Oncorhynchus mykiss) broodstock in a closed culture system at 3000 m above sea level (m.a.s.l.) to evaluate the feasibility of this culture method and assess the first spawning of the species under these conditions as an alternative production route for the communities present in the foothills...

This paper presents a detailed techno-economic analysis of grid-connected hybrid microgrid systems in Western India, specifically targeting remote regions including Charanka, Samana, Navagam-Kevadia, Vighakot, Methan, and Panadhro. Leveraging the capabilities of HOMER Pro software, the study evaluates various configurations integrating solar photov...

The photovoltaic (PV) sector encounters challenges such as high initial costs, reliance on weather, susceptibility to faults, irregularities in the grid, and degradation of components. Predictive maintenance (PdM) aims to proactively identify issues, thereby enhancing reliability and efficiency but may lack specific fault details without additional...

In this paper, a better power optimizer architecture has been presented for PV strings, using a buck converter for each PV module to address partial shading conditions. The buck converter, though rarely used, is a natural converter for partial shading effects, as it converts the lower current of the shaded module to a higher output current. Usually...