Placement Of Solar Panels Research Articles

A Novel BEM for the Hydrodynamic Analysis of Twin-Hull Vessels with Application to Solar Ships

A novel Boundary Element Method (BEM) is presented for predicting the hydrodynamic behavior of twin-hull vessels, traveling at low speeds, aiming to quantify the benefits of integrating solar technology onboard. In particular, the power requirements of an electric 33 m long twin-hull ship are examined. The study discusses the placement of solar panels on deck and assesses their utilization in terms of real-time energy generation, aiming to extend the autonomy range while also reducing carbon emissions. The discussed methodology predicts the power needs by considering various operational variables, design specifications and hydrodynamic principles. In addition, it addresses the viability and possible advantages of integrating solar technology onboard and provides preliminary estimates regarding the extent to which solar energy may compensate for power needs, based on several factors, including the velocity, the prevailing sea state and the incident solar irradiance. The results provide useful information regarding the utilization of solar energy in the shipping sector, in addition to advancing sustainable maritime propulsion.

Green Energy Growth: Enhancing Agricultural Sustainability through Agrivoltaic Solutions in the Modern Era

Agrivoltaic is a system that integrates agricultural activities with the production of solar photovoltaic electricity on the same piece of land. Agrivoltaic systems are gaining popularity in Indonesia since they enable farmers to generate renewable energy while making efficient use of agricultural land. This research technique employs the analytical descriptive approach, which aims to offer a comprehensive description or overview of the topic of study using acquired data or samples without undertaking further analysis to draw generalizable conclusions. An instance of agrivoltaic in Indonesia involves the placement of solar panels above crops to provide shade and minimize water evaporation. Simultaneously, these solar panels generate energy to operate irrigation systems or other agricultural machinery. Nevertheless, the use of agrivoltaic in Indonesia remains restricted and need further investment and assistance from both the government and private sector to enhance the acceptance of this technology in the agricultural industry.

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 Solar Tracker Prototype Based on Arduino Uno

The placement of solar panels to capture solar energy is generally installed in a certain and fixed position (static). The dynamic change in the sun's position from east to west at any time means that the solar panels absorb less energy. So, installing an automatic driving device on the solar panel to adjust its perpendicular position to the sun's rays is very necessary. This Solar Tracker tool has 4 light sensors that function to identify the intensity of sunlight as a signal entered by the Arduino Uno microcontroller. This information is then processed to become a signal to drive horizontal and vertical servo motors. The shaft of this motor is connected to the mechanical circuit of the solar panel via a gearbox to carry out movement. A comparator will compare sunlight information and a reference voltage to control the rotation of the servo motor which can determine the time needed for the motor to rotate or stop. The research results on solar panels using a tracker were that the best voltage and current values were obtained between 12.00 – 13.00 WIB with an average voltage value of 11.45 V and an average current value of 0.49A.

A renewable approach to electric vehicle charging through solar energy storage.

Developing novel EV chargers is crucial for accelerating Electric Vehicle (EV) adoption, mitigating range anxiety, and fostering technological advancements that enhance charging efficiency and grid integration. These advancements address current challenges and contribute to a more sustainable and convenient future of electric mobility. This paper explores the performance dynamics of a solar-integrated charging system. It outlines a simulation study on harnessing solar energy as the primary Direct Current (DC) EV charging source. The approach incorporates an Energy Storage System (ESS) to address solar intermittencies and mitigate photovoltaic (PV) mismatch losses. Executed through MATLAB, the system integrates key components, including solar PV panels, the ESS, a DC charger, and an EV battery. The study finds that a change in solar irradiance from 400 W/m2 to 1000 W/m2 resulted in a substantial 47% increase in the output power of the solar PV system. Simultaneously, the ESS shows a 38% boost in output power under similar conditions, with the assessments conducted at a room temperature of 25°C. The results emphasize that optimal solar panel placement with higher irradiance levels is essential to leverage integrated solar energy EV chargers. The research also illuminates the positive correlation between elevated irradiance levels and the EV battery's State of Charge (SOC). This correlation underscores the efficiency gains achievable through enhanced solar power absorption, facilitating more effective and expedited EV charging.

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

How can solar panels collectors enhance energy efficiency? Utilization of the novel optimization techniques

Abstract Solar energy, which is widely acknowledged for its economic feasibility and sustainable nature, functions as a critical substitute for finite fossil fuels, effectively alleviating ecological consequences. The purpose of this study is to investigate the implementation of solar collectors as a means of harnessing the ample and unaltered solar radiation in Iran, specifically in locations situated within the solar belt. The incorporation of solar energy not only aids in the expansion of energy sources through diversification but also mitigates the rising expenses linked to fossil fuels. The preservation of natural resources, coupled with limited renewable energy options, further accentuates the importance of solar energy. The optimization of solar panel collector angles in photovoltaic systems assumes paramount importance for maximizing energy efficiency. This study, conducted in Yazd, Iran, utilized innovative mathematical and particle swarm optimization (PSO) models to assess ideal inclination angles. Results indicate peak solar energy absorption during June and July, contrasting with minimal absorption in January. The Klein model prescribes inclination angles based on γ values, while the PSO algorithm determines optimal slope and azimuth angles across various periods. Significant enhancements in energy generation, ranging from 23.24 to 25.02% across optimization models, were observed compared to a horizontal surface. These findings underscore the imperative of optimizing solar panel placement in urban settings to augment energy generation. Utilizing the optimal orientation for the photovoltaic power supply system can result in an annual reduction of 1169.6 kg of CO2 emissions in the building, emphasizing the positive environmental impact achievable through strategic solar panel configurations.

Contribution of ChatGPT and Other Generative Artificial Intelligence (AI) in Renewable and Sustainable Energy

In the dynamic field of renewable and sustainable energy, Artificial Intelligence (AI) integration has emerged as a crucial catalyst for enhancing efficiency, cost reduction, and addressing multifaceted challenges. This work delves into the performance and contributions of ChatGPT, a prominent representative of large AI language models, within the context of renewable and sustainable energy. The research endeavors to explore ChatGPT's efficacy and role across a diverse spectrum of renewable energy aspects, spanning solar energy, wind energy, biomass energy, hydropower, geothermal energy, energy storage, grid integration, energy efficiency, materials science, policy, economics, environmental impact, energy accessibility, and advanced biofuels. The investigation commences with solar energy, where ChatGPT showcases impressive capabilities in data analysis, modeling, and forecasting. It facilitates solar panel placement optimization, energy production prediction, and overall efficiency enhancement. Likewise, in the realm of wind energy, ChatGPT proves invaluable for tasks such as wind turbine control, maintenance scheduling, and wind speed prediction. In biomass energy, ChatGPT aids in feedstock selection, process optimization, and emissions reduction. In the hydropower sector, it supports reservoir management and river flow prediction, thereby optimizing energy output. Geothermal energy benefits from ChatGPT's geological analysis, reservoir modeling, and exploration strategies. Energy storage solutions are indispensable for grid stability, and ChatGPT contributes to the advancement of cutting-edge battery technologies, augmenting energy storage capacity and lifespan. Furthermore, ChatGPT's insights foster the evolution of smart grids, ensuring efficient energy distribution and effective demand management. Additionally, ChatGPT provides invaluable insights into policy and economics, offering recommendations for incentivizing the adoption of renewable energy sources while considering environmental impact and sustainability. It also contributes to the advancement of tidal and wave energy technologies, as well as the development of advanced biofuels. The outcomes of this research paper underscore the potential of AI and ChatGPT in shaping the future of renewable energy, expediting progress toward a sustainable energy ecosystem.

Optimizing Solar Panel Placement through Passive Architectural Design

Optimizing Solar Panel Placement through Passive Architectural Design

Solar Panel Study in the Desert Climate of Abu Dhabi, United Arab Emirates

The negative effects of climate change and global warming are no longer a futuristic issue to deal with. This is the result of the continued and extensive use of fossil fuels and subsequent greenhouse gasses emissions such as CO2. Earth has been warming at an alarmingly fast pace the last 40 years due to greenhouse gas emission and the trapping of heat in the atmosphere. To slow down and eliminate this unnatural warming rate a reduction in greenhouse gas emissions is essential. This is accomplished by an increase in the deployment and use of clean renewable energy. Solar energy continues to play a significant role in the clean energy shift due to the abundance and unlimited supply of energy provided by the sun. The use of solar energy is on an exponential rise thanks to recent government policies to reduce emissions. For example, solar energy production in the United Arab Emirates (UAE) from 2009-2019 shows an exponential rise starting in 2016 reaching almost 3500 GWh of production in 2019 [1]. The UAE is also home to the Mohammed Bin Rashid Al Maktoum solar park. The largest single site solar park the world. This project will help reduce more than 6.5 million tons of emissions and will have capacity of 5000 megawatts [2].The United Arab Emirates is an ideal region for solar due the amount of sunshine and with very few cloudy/rainy days. However, desert climates have their own unique challenges, such as extreme heat and soling. Temperatures can reach above 40 in summer months in the UAE with high humidity and effect of soiling from dust is not very well understood [3]. Also, what is important is finding the optimal angle and direction of roof top solar panels to maximize the power and limit these negative effects.In this work, we studied a real solar panel on the rooftop in Abu Dhabi. The solar panel was bought from a local vendor in the UAE. The solar panel is polysilicon with specs: 10W, Vmp 18V, Imp 0.56A, Voc 24.4V and ISC 0.69A under AM1.5G at 25°C. We placed the panel on a roof top in Abu Dhabi at Khalifa University. To find the optimal angle and location we tested the panels at 12noon to maximum sun power. We first fixed the angle around 22° based on literature, and then modified the direction from north, south, west and east to find which direction gave the peak. We found that south gave the highest power from the rest (10.32W). Then we changed from angle from this data from 0°-90° in steps of 10°. The data showed the maximum power is when panel is facing south with angle between 25°-30°. The optimum placement of solar panels is key in helping to mitigate the negative desert effects such at heat and soiling. In addition, to this study, we also studied the panel for a continuous period to see effects of soling and longer-term heat exposure. More on this data will be added to in the poster to be presented.In summary, the use for solar panels is key to help prevent the negative effect of climate change. In desert like conditions, while there is plenty of sunshine, the negative effects of soling and temperature is not fully studied yet. Finding the optimum, angle and direction is key it get the peak performance of the panel and helping to mitigate some of these negative effects. Also studying the long-term effects of the temperature and soiling is important. Finally, knowing the negative effects can help researchers find new materials and solutions for solar cells for desert like environments.[1] E. Agency, "Renewables Information," July 2021. [Online].[2] T. National, "Road to Net Zero," 09 May 2019. [Online][3] O. Albadwawi et al., "Quantification of spectral losses of Natural soiling and detailed microstructural analysis of Dust collected from Different locations in Dubai, UAE," 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 2019, pp. 3115-3118, doi: 10.1109/PVSC40753.2019.8980937. Figure 1

Analysis of System Degrees of Tilts of Solar Panel for Energy Utilization Using Solar Test Simulator

The design of the Solar Panel Test Simulator by means of setting the solar panel placement stand 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 that will contain information about the solar panels as a whole. Limitations in placing the position of the solar panel will not provide a reference regarding measurement conditions based on the angle of incidence of the sun, so it is necessary to do further design regarding the position of the solar panel when the measurement is carried out. 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 solar panel mount tilt of 450, 900, 1350, and the distance of the halogen lamp 30cm as the energy source is measured. The measurement results are based on an average design temperature difference of 0.49% with a voltage of 1.55%.

Portable and Customizable Solar Panel Cleaner Design

The purpose of this research is to design a solar panel cleaning tool that is easy to operate and can adjust the size of the installed solar panels. There are several factors that can affect the performance of solar panels, namely the placement of solar panels that cause accumulation of dust, bird droppings and water (salt) stains. The traditional cleaning system is still done manually. Manual cleaning has several disadvantages such as panel damage, risk of worker accidents, movement difficulties, poor maintenance, and others. Therefore, a solar panel cleaning tool is needed on the market that can help optimize solar panel performance and is easy to operate. The method used in this research is to design a prototype solar panel cleaner that can be operated easily and can be adjusted according to the size of the installed solar panel. The result of this research is a prototype of a solar panel cleaning tool with a total mass of 6 kg and easy to operate with a microcontroller system. Effectively this equipment shows the function of the cleaning tool to do its job, namely cleaning dust. Furthermore, this research needs to analyze the techno-economics of addition batteries to facilitate operation.

Exploration of the photo voltaic (PV) energy generation and scope for Sonipat: A Review

This review article explores photovoltaic (PV) energy generation and its potential scope in Sonipat. It delves into the current state of PV technology and its applications in the region. Sonipat's geographic location and solar potential are examined to assess its suitability for PV energy generation. The study also investigates factors such as solar panel placement, energy storage, and maintenance practices. By reviewing existing literature and research, it aims to provide insights into the feasibility and opportunities for expanding PV energy generation in Sonipat, ultimately contributing to sustainable energy solutions in the region. The review offers a comprehensive analysis of PV energy generation in Sonipat, encompassing its environmental and economic benefits. It examines Sonipat's solar irradiance patterns and the potential for harnessing solar energy for electricity generation. Furthermore, it explores the challenges and opportunities in integrating PV systems into the local energy infrastructure, considering factors like grid integration and policy support. The review ultimately aims to shed light on the untapped potential of PV energy in Sonipat, highlighting the importance of sustainable energy sources in the region's energy landscape and emphasizing the need for further research and development in this field.

PROPOSALS OF SOLUTIONS OF THE PROJECT DEVELOPMENTS OF ENERGY-EFFICIENT GEO-HOUSES IN UKRAINE

One of the new approaches in civil engineering is geodetic domed houses. These are quite economical buildings that most fully reflect the idea of energy saving and the concept of environmentally friendly housing.
 The symmetry of the sphere allows the most efficient placement of solar panels and solar collectors. The structures of the house are assembled quickly and do not require heavy construction equipment. By reducing the volume of the heating room, we save on heat resources, so the heating of the domed house in the winter requires 20 – 30% less energy in comparison to the rectangular buildings.
 The purpose of the article is to offer solutions for the development of projects of energy-efficient geo-houses in Ukraine. To search for the most rational design and technological solutions; to analyze the characteristics, advantages and disadvantages of energy efficient geo-house buildings in order to build them in Ukraine.
 The geodesic dome is made of polyurethane foam, reinforced concrete, wood, fiberglass concrete. Frame structures of the geo-house are made of metal or timber, the "skeleton" is lined with plywood or special OSB-boards. This method provides lightness and strength of the building. The dome must have the optimal size of the ribs, not more than 2.5 m in length, which allows you to erect a frame without the use of technology, with a force of 2 ÷ 3 people. Two installation methods of the frame are considered: connector and non-connector.
 The proposed solutions for the development of energy-efficient geo-houses' projects in Ukraine will allow in the near future to solve the problems of ecology, energy saving, natural resources saving in the country. Energy-efficient geo-house is the best option for any region of Ukraine, thanks to the undeniable advantages: rigidity and stability of the frame, geometric symmetry of shapes and strength, energy efficiency, high seismic stability, erection speed and originality.

Techno-economic Analysis of Rooftop Photovoltaic System (RPVS) using Thin-Frameless Solar Panels for Household Customers in Indonesia

The availability of thin-frameless solar panels on the market today makes the installation of rooftop Photovoltaic (RPVS) systems more attractive. The purpose of this research is to analyze financially the use of thinframeless solar panels for on-grid RPVS by household electricity customers in Indonesia. The investment cost, the maintenance costs, and the electricity cost savings were involved for the financial analysis, such as Internal Rate of Return (IRR), Net Present Value (NPV), and Pay Back Period (PBP). The calculation is carried out for ideal conditions, the direction of a non-ideal rooftop and the yearly increase of electricity prices is 15 %. The analysis results show that the minimum available rooftop area is still sufficient for the rooftop area needs for solar panel placement, the thin solar panels are safer than standard solar panels, and savings on electricity payments for the return on investment of the RPVS is to be attractive with the IRR > 12 %. The average investment cost of the non-ideal condition is 8 % higher than the ideal condition. This study provides an overview to the policymakers and developers in exploiting the potential of RPVS, especially in Indonesia. For future research directions, this study needs to analyze the technical and economic feasibility of using hybrid smart-grid technology with batteries.

An application of solar panel for energy efficiency at vertical building in Lebak Bulus Jakarta

This article contains a research on position and placement of solar panels to reduce electrical energy consumptionof an office building with analysis on sunlight of the site, which located in Lebak Bulus, Kawasan Koridor, Jalan TB Simatupang, South Jakarta. The method of the research is as follows: (1) Analyze the site location, (2) Analyze the climate in the site location, (3) Analyze the solar panels placement based on the result of analysis of sunlight, (4) Analysis of Electricity Supply Demand Calculation in Buildings, and (5) Calculate the efficiency based on the amount comparison of electricity needs of the air conditioner and the energy produced by solar panels. The result shows that solar panels will work optimally if placed on the upper side, the northeast side and the northwest side of the building. The amount of solar panel needed are as many as 4,398 pieces, based on comparisons between energy consumption and building area. So, it can be concluded that the use of solar panels on the top side, and 2 other sides namely east and west can produce electricity use efficiency of 53.08%.

Studi Intensitas Cahaya Matahari Dengan Data Logger Untuk Efektiv Penempatan Panel Surya

Renewable energy is energy produced from natural sources, such as light, wind, rain, tidal currents, and geothermal, which is renewable or can naturally reappear after being used. In this study, a study of the effectiveness and efficiency of power plants in certain locations. For this reason, it is necessary to design a tool in the form of a data logger that is used to collect parameter data such as light intensity, electric voltage, electric current, power, temperature, humidity, wind speed, and others. The placement of the data logger will help in the basic test of the feasibility of using energy sources later. Data logger is a system that can record automatic parameters of current, voltage, power on solar panels and automatically record conditions of temperature, humidity in the solar panel. The results of logger data on light intensity for a more efficient placement of solar panels occur at location 1 Beach behind Kmpus UBH 1, where at that location has an average light intensity of 798.24 Cd.

Evaluation of wind erosion control practices at a photovoltaic power station within a sandy area of northwest, China

AbstractThe widespread construction of photovoltaic power stations within northwest China poses an environmental threat because of severe increased wind erosion and land degradation. Engineering, plant, and biocrust treatments were evaluated in this study for their effectiveness in the reduction of wind erosion. The placement of solar panels caused wind speed variation and resulted in distinct abrasion and deposition zones between the rows of the solar panels and the formation of deflation zones under the solar panels. Combined treatments (gravel and red clay mulch were applied within the abrasion and deposition zones, respectively) and moss‐crust were the optimal choices within the engineering and biocrust treatments, respectively. We found that for engineering treatments, the combined procedures led to treatments had sand transport rate reductions of 87%, while the straw checkerboard, gravel, and red clay treatments gave reductions of 51, 78, and 74%, respectively. Within the biocrust treatments, the moss‐crust decreased the sand transport rates and the sand erosion–deposit budget by 71 and 114%, respectively, while the cyanobacteria crust caused reductions of 65 and 109%, respectively, in comparison to the control. Both plant treatments decreased the sand transport rates and the sand erosion–deposit budgets, but were inferior to other optimal treatments with the best plant treatment dependent on the placement pattern used for plant establishment. All the treatments had effects on reducing wind erosion, and we strongly recommend the use of moss‐crust and combined treatments in the deflation zones and between the rows of the solar panels, respectively, to significantly reduce the severe wind erosion occurring at these photovoltaic power stations located in sandy areas.

Application of Green Technologies in Irrigation

The article presents materials which reveal the using of green technologies (renewable energy sources) at the site of the irrigation complex of agriculture. In the article an option for placing solar panels on the Prigorodny irrigation system of the Krasnodar Territory of the Russian Federation is proposed to cover the power consumption of the units of the head pumping station PS 1 23. Engineering, technical and economic calculations of design, installation, and placement of solar panels of two types with a capacity of 200 watt were carried out. According to the application of Russian solar panels, the investment requirement is 1,845 billion rubles, with a payback period of 10, 2 years. Organizational and legal tools for attracting investments in the land reclamation complex of the country's agriculture using the mechanism of public-private partnership and the infrastructure of land reclamation parks is justified.

Multi-Objective TLBO and GWO-based Optimization for Placement of Renewable Energy Resources in Distribution System

The use of renewable solar and wind resources as distributed generation sources in distribution networks has been welcomed by network operators. In order to exploit the maximum benefits of using these distributed products, the location of installation and their capacity should be determined optimally in the distribution network. In this paper, in order to optimize the placement of solar panels and wind turbines in the distribution network with the aim of reducing losses and improving reliability based on Energy Not Supplied subscribers (ENS), a multi-objective evolutionary algorithm based on fuzzy decision method, called the Multi-Objective Hybrid Training Learning Based Optimization-Grey Wolf Optimizer (MOHTLBOGWO) proposed that has a High optimization speed and not trapped at all in the optimal local. At first, the candidate buses are set for the installation of renewable resources using the Loss Sensitivity Factor (LSF). Then the proposed method is used to determine the location and optimal capacity of renewable resources through the candidate bases. Proposed issues have been implemented in a single-objective and multiobjective manner on a 33 bus IEEE radial distribution network. Also, in this paper, the effect of distributing renewable resources on the characteristics of the distribution network is evaluated. The results obtained from the proposed algorithm are compared with the results of other algorithms to demonstrate the superiority of the proposed method in reducing losses, improving reliability, and increasing the financial profit of the network. Simulation results show the better performance of the proposed method in comparison with Teaching-Learning Based Optimization (TLBO) and Grey Wolf Optimiser (GWO) methods and past studies to achieve optimal results. Also, the results show that distributing of the capacity and location of distributed renewable generation leads to a further reduction in losses and a better improvement of the reliability criterion.