Model Of Solar System Research Articles

Design and Analysis of Green Building Solar Energy Utilization System Based on BIM

In order to intuitively present the layout and design of the solar energy utilization system, improve the integrity, and consistency of the design. Design and analyze the solar energy utilization system of green buildings based on Building Information Model (BIM). The data acquisition layer collects relevant data of green buildings and solar energy utilization system in RFID and WSN mode and transmits them to the data processing layer; the data processing layer filters the data related to green buildings and solar energy utilization system according to IPC construction standards, and transmits them to the model layer through the Internet of Things; the model layer uses the REVIT software combined with the filtered data to build and update the BIM model of green buildings and solar energy utilization system, intuitively present the layout and design of the solar energy utilization system, and improve the integrity and consistency of the design; the application layer uses the fuzzy comprehensive evaluation model, combined with the green building and solar energy utilization system BIM model, to simulate and analyze the solar energy utilization system environment of green buildings; the user layer provides users with human–computer interaction functions to view the design and analysis process of the solar energy utilization system of green buildings. Experiments show that this method can effectively collect relevant data of green buildings and establish a BIM model of solar energy utilization system; this method can effectively design the solar energy utilization system of green buildings; the solar energy utilization system designed by this method can effectively reduce the electric heating capacity of green buildings, and has an excellent energy-saving effect.

A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic

Photovoltaic solar energy plays a crucial role in our lives, as it provides electricity from the sun, a renewable source. The objective of this paper is to create a comprehensive model of a photovoltaic solar system, representing its various components, with the aim of maximizing power output using a control technique called MPPT (Maximum Power Point Tracking). Additionally, the work involves using algorithms to manage energy within this solar system to optimize power generation. We focus on the following algorithms: Perturb and Observe (A simple and highly responsive algorithm with a quick response that adjusts the voltage), Hill Climbing (It is a simple algorithm to implement and is effective for solving combinatorial problems by adjusting the duty cycle), and fuzzy logic (Using linguistic rules, it is possible to intelligently adjust the parameters, improving the connection between the photovoltaic generator and the load to ensure optimal operation). This work will be conducted using MATLAB/SIMULINK.

Research on the reliability modeling and assessment method of solar unmanned aerial vehicle power system considering balancing requirements

Research on the reliability modeling and assessment method of solar unmanned aerial vehicle power system considering balancing requirements

Modeling and Implementation of an Open-loop Single-axis Solar Tracking System Driven by an SMA Spring Actuator

Modeling and Implementation of an Open-loop Single-axis Solar Tracking System Driven by an SMA Spring Actuator

Studying the Properties of Spacetime with an Improved Dynamical Model of the Inner Solar System

Physical properties of the Sun (orientation of rotation axis, oblateness coefficient J2⊙, and change rate of the gravitational parameter μ˙⊙) are determined using a dynamical model describing the motion of the Sun, planets, the Moon, asteroids, and Trans-Neptunian objects (TNOs). Among the many kinds of observations used to determine the orbits and physical properties of the bodies, the most important for our study are precise interplanetary ranging data: Earth–Mercury ranges from MESSENGER spacecraft and Earth–Mars ranges from Odyssey and MRO. The findings allow us to improve the model of the Sun in modern planetary ephemerides. First, the dynamically determined direction of the Sun’s pole is ≈2° off the visible axis of rotation of the Sun’s surface, which is corroborated by present knowledge of the Sun’s interior. Second, the change rate of the Sun’s gravitational parameter is found to be smaller (in absolute value) than the nominal value derived from the estimate of mass loss through radiation and solar wind. Possible interpretations are discussed.

Research on Optimization Design of Heliostat Field Based on Ray Tracing

In tower-type solar thermal power generation systems, the optical efficiency of the mirror field is the primary factor determining the overall system's power generation efficiency. In order to meet the requirement of a rated power of 60MW with different heliostat sizes and installation heights, optimize the various parameters of the heliostat field, establish a tower-type solar thermal power generation system model, and evaluate the model. Taking the maximum annual average output power per unit mirror area as the optimization objective, through simulation, it is found that the heliostat with a side length of 6 meters, a gradient design of installation height, a regular triangular layout, and the use of ray tracing technology can efficiently capture solar energy. The average optical efficiency, average cosine efficiency, average shadow blocking efficiency, average truncation efficiency, and average thermal power factor per unit area mirror are analyzed. The research results show that there is an optimal combination of absorber northward movement, heliostat size, equilateral triangle arrangement, installation height gradient design, and solar trajectory, which enables the annual average output thermal power to reach or even exceed the rated power of 60MW.This model and algorithm compared and analyzed genetic, greedy, and simulated annealing algorithms on the same dataset. The runtime is approximately 8-10 minutes, with CPU utilization around 60%.

Modeling of solar CPVT system integrated with heat sinks in existence of hybrid nanofluid

Modeling of solar CPVT system integrated with heat sinks in existence of hybrid nanofluid

Dynamic numerical modeling and performance optimization of solar and wind assisted combined heat and power system coupled with battery storage and sophisticated control framework

Incorporating distributed renewable energy sources into heating, power, and cooling systems is facilitating the drive toward intelligent building energy solutions. However, the inherent uncertainties associated with controllable renewable resources pose challenges for the thermo-economic scheduling of smart buildings. Nonetheless, the flexibility inherent in smart buildings can be leveraged through various market mechanisms. Hence, this research introduces a sustainable energy-building system driven by an autonomous solar/dish Stirling engine (SDSE) and wind turbine combined with a sophisticated control strategy and battery storage, which is designed to provide heat and power requirements. The proposed control strategy is also devised to optimize energy generation, ensuring prudent conservation and minimal waste, thereby amplifying overall efficiency and financial viability. The meticulous design of the system is accomplished through advanced MATLAB/Simulink® modeling. A thorough technical sensitivity analysis meticulously hones design parameters, revealing optimal operational thresholds. Simulation outcomes unveil a consistent Stirling engine (SE) efficiency, achieving a pinnacle of 35 %, while the SDSE attains over 28 %, respectively. The horizontal axis wind turbine, encompassing 100 kW and 500 kW modules, demonstrates power coefficients spanning from 0.18 to 0.09, with corresponding land area requirements ranging from 4.22 m2 to 21.10 m2, emphasizing the pivotal roles of module power and land area optimization. This paper also casts a spotlight on the environmental repercussions of the system, illustrating its potential to avert up to 30,000 kg of CO2 emissions per kWh/year. Moreover, the levelized cost of electricity ranges from 0.13 to 0.16 $/kWh, accompanied by an hourly cost that fluctuates between 3 $/h and 40 $/h, respectively. Conclusively, the developed modeling can be regarded as a significant stride in the realm of hybrid renewable energy systems, replacing the conventional photovoltaic/wind models with cutting-edge solar/wind configurations managed by a sophisticated control strategy and battery storage system.

Solar Panel Sun-Rays Tracking and Cleaning System for Improvement in Power Efficiency

There is an increasing need to reduce greenhouse gas emissions and find more environmentally friendly ways to power the planet. An estimated 4 billion years will pass before the sun stops shining, making it a renewable natural power source. A sustainable method of generating electricity from the sun's energy is offered by solar power systems. In comparison with single axis solar tracker, a dual axis solar tracker tracks the sun at every instance hereby increasing the efficiency by 30-35%. In this system we have a solar panel which tracks the position of the sun and always try to remain perpendicular to sun rays. It will track the sun in all four directions i.e east-west and north-south. This paper focus more on Design of Dual tracking system, which includes installation of GPS and RTC system, stored energy usage for application , periodic cleaning in order to maintain efficiency of panel and comparative analysis of stored energy. Alternative, less expensive options have been suggested because the solar tracking equipment is expensive to manufacture.The goal of this effort is to create a solar dual tracking system model that includes solar panel cleaning as well.

Modeling and nonlinear predictive control of solar thermal systems in district heating

This study presents data-driven modeling and nonlinear model predictive control of solar thermal plants in district heating, for the purpose of operation optimization. The study considers the efficient operation of a solar thermal plant in Hillerød, Denmark. A dynamic model is estimated as a system of stochastic differential equations using grey-box modeling and real-world data. The presented nonlinear model predictive controller design is based on repeated trajectory linearization and the dynamic model. Several objective designs are considered, e.g., maximizing energy or temperature. The study provides simulations for analyzing the model fitness and controller performances. The model is shown to fit the daytime operation of the plant. The designed controllers are shown to improve efficiency, increasing the transported energy up to 28%.

Numerical modeling of a novel solar cell system consisting of electron Transport material (ETM)/CaZrS3-based chalcogenide perovskites using SCAPS-1D software

In this study, a device simulation of CaZrS3 material is reported for the first time, which makes this new study interesting, using the one-dimensional solarcell capacitance simulator Scaps-1D. Therefore, we tried to propose low-cost Electron Transport Materials ETMs (TiO2, ZnO, and SnO2). The effect of thickness, doping concentration, working temperature, defect density, and back contact (C, Au, Ni, and Pt) on the device performance was studied. In order to enhance the cell Power Conversion Efficiency (PCE), optimization of the device design key parameters is performed. As a result, we have found that for Pt/CuO/CaZrS3/SnO2/FTO, Pt/CuO/CaZrS3/TiO2/FTO, and Pt/CuO/CaZrS3/ZnO/FTO the PCE parameters are 34.56%, 34.52%, and 33.5% respectively. We anticipate that our theoretical results will motivate photovoltaic researchers to experimentally actualize these materials and their SCs.

Optimizing Solar Heating for Thangka Exhibition Halls: A Case Study in Malkang Cultural Village

With the continuous development of rural revitalization and urbanization in China, the sustainable transformation of traditional rural architecture has become increasingly important. This study takes the Thangka exhibition hall in rural Malkang, Sichuan Province, as the research object and proposes a Thangka exhibition hall architectural design centered around solar heating and aiming for near-zero energy consumption. The research method involves establishing a solar energy system model on the roof of the exhibition hall and utilizing solar angle and area calculation formulas along with simulation software to calculate the optimal installation angle and area of solar panels, with the aim of achieving indoor temperatures that meet Thangka protection requirements while achieving zero-energy heating. Preliminary results indicate that this solar-centric near-zero energy architectural design can effectively promote the increase in indoor temperature through solar thermal conversion. Additionally, through calculation and simulation, the optimal installation angle for the solar panels achieving zero-energy heating is determined to be 24.25 with an azimuth angle of −1.2. The optimum installation area for solar panels is 8.2 square meters in the showroom and 2.7 square meters in the storeroom. Among these, the solar panel area for the Thangka exhibition hall constitutes 4.12% of the total area and is required for maintaining Thangka protection temperature requirements throughout the year, while the solar panel area for the storage room constitutes 1.88% and is also needed for the same purpose. Studying the optimal installation angle and area of solar panels can transform the exhibition hall into a near-zero-energy building, meeting the temperature requirements for Thangka preservation and human thermal comfort, while also achieving optimal economic benefits. This provides guidance and a reference for promoting near-zero-energy buildings in rural areas.

Novel Multi-Port Converter for Distributed MPPT Operation in Solar PV System

Solar photovoltaic (PV) systems continue to be the most prevalent renewable energy resource despite the presence of numerous limitations. A power discrepancy between PV modules on a large scale may result in power dissipation throughout the entire PV system. This particular paper proposes an efficient multi-port converter for distributed maximum power point tracking operation (D-MPPT) for a solar PV system. The operation details of the proposed multi-port converter along with analytical waveforms are presented in this paper. To implement the D-MPPT approach in the proposed multi-port converter, a detailed analysis of mathematical modeling of solar PV systems with a mismatch of PV power and voltage stabilization approach is done. In addition, the proposed approach eliminates the need for additional current sensors and semiconductor components to overcome the effect of mismatched power in the PV system. To validate this, the prototype has been built and integrated with the real environment of the solar PV system. To verify the operation, a detailed simulation study and experimental investigation have been carried out and presented in this paper. After a detailed investigation and discussion of measured results and analysis, it is concluded that the proposed multi-port DC-DC converter is the most suitable solution for solar PV applications.

Design of heliostat field based on ray tracing

In the tower solar thermal power generation system, the optical efficiency of mirror field is the primary factor that determines the power generation efficiency of the whole system. Given the size and installation height of heliostat, in order to meet the requirements of rated Power 60MW, the parameters of heliostat field are designed and the model of tower solar thermal power generation system is established. Considering the cosine loss, shadow occlusion loss and truncation efficiency, and knowing that these three points are closely related to the position of the Sun, a method of ray tracing is proposed to calculate the sunshine accurately, the optimum parameters of helioscope field were determined by simulation. The simulation results show that the average thermal power output per unit mirror area can be increased by reducing the shadow occlusion between the heliostats.

The Views of Students Regarding the Use of Virtual Reality Applications in Elementary Science Classes

Recently, Virtual reality (VR) technologies have started to be used increasingly in the field of education, as in many other fields. With the widespread use of virtual reality applications, there is a need to investigate the effects of virtual reality applications in the field of education. The results obtained from these researches can contribute to the creation of effective and efficient virtual reality-supported learning environments. VR applications, one of the technology-supported learning environments, come to the forefront to help students learn concepts more easily and permanently. Since VR is very new and not a common practice in classrooms yet, it is necessary and important to investigate how VR can be used in science lessons and students’ views on these practices. The main goals of this study were to develop the Virtual Reality Solar System Model (VRSSM) for the unit “Sun System and Eclipses” for the 6th grade students and to find out what the students think about using virtual reality applications in science classes. This is a qualitative study and 16 students participated in this study and used the VRSSM. The semi-structured interview form was used as a data collection tool. The data was analyzed using content and descriptive analysis. The results of this research revealed that the students want VR to be used not only in science lessons but also in other lessons, they think that the knowledge they have gained is permanent and that they believe that this application can increase their science achievement. Additionally, students think that the application increases their interest in science lessons and affects their learning positively.

Two-Stage Optimal Scheduling Based on the Meteorological Prediction of a Wind–Solar-Energy Storage System with Demand Response

With large-scale wind and solar power connected to the power grid, the randomness and volatility of its output have an increasingly serious adverse impact on power grid dispatching. Aiming at the system peak shaving problem caused by regional large-scale wind power photovoltaic grid connection, a new two-stage optimal scheduling model of wind solar energy storage system considering demand response is proposed. There is a need to comprehensively consider the power generation cost of various types of power sources, day-ahead load forecasting information, and other factors and plan the day-ahead output plan of the energy storage system with the minimum system operation cost as the optimization objective of day-ahead dispatching. The demand response strategy is introduced into the time-ahead optimal scheduling, and the optimization of the output value of the energy storage system in each period is studied with the goal of minimizing the system adjustment cost. The particle swarm optimization algorithm is used to solve the model, and the IEEE33 node system is used for an example simulation. The results show that using the demand response and the collaborative effect of the energy storage system can suppress the uncertainty of wind power and photovoltaic power, improve the utilization rate of the system, reduce the power generation cost of the system, and achieve significant comprehensive benefits.

Performance Assessment of a MPID controller in Microgrid Systems for Load Frequency Control

This study provides a novel methodology to design an A.C. off-grid multi-microgrid (MMG) system and suggests an analytical method for load frequency management utilizing a multistage PID (MPID) controller based on the sine cosine algorithm. The unique benefits of an MMG system are similar to those of renewable energy sources (RES), such as solar system models, wind turbine models, etc. There is a conflict between the MMG system's source and the load requirement because of the erratic properties of renewable energy sources. The irregular nature of renewable energy sources has an impact on the frequency of the system. Therefore, it is very difficult these days to check the frequency in a MMG system. This article uses the SCA-based MPID to tune the controller parameter for secondary frequency control, despite all of the complexity. In the power system, LFC (load frequency control ) is achieved by regulating active power. The dynamic response of the conventional PI-PID controller has been used to assess the effectiveness of the proposed MPID controller. Using the sine and cosine approaches, the parameters are optimized.

Modeling of a stand-alone solar photovoltaic water pumping system for irrigation

Solar photovoltaic water pumping systems have been research topics in recent decades. The purpose was to develop much more profitable and efficient systems to meet the needs of pumping water for livestock and irrigation. This paper describes the design of a stand-alone photovoltaic water pumping system. A Boost converter is used to apply the Maximum Power Point Tracking (MPPT) algorithm. Similarly, a three-phase voltage source converter (VSC) is used to supply the asynchronous motor. The installation must provide a continuous water flow during the irrigation interval. It has been verified that in adverse weather conditions (cloud transits or partly cloudy) it is necessary to incorporate a decentralized-hybrid energy storage system (basedon batteries or ultracapacitors), or excessively oversize the stand-alone photovoltaic system, to supply the water pump. The model has been simulated in Matlab-Simulink. In this way, different simulations have been developed to verify the basic characteristics of the proposed system. The results of the simulated model and the conclusions obtained are also presented in this paper.

Response to Pitkanen’s Solar System Model: Towards Gross-Pitaevskiian Description of Solar System and Galaxies and More Evidence of Chiral Superfluid Vortices

Response to Pitkanen’s Solar System Model: Towards Gross-Pitaevskiian Description of Solar System and Galaxies and More Evidence of Chiral Superfluid Vortices

On Possibility of Binary Companion of the Sun: A Serendipity Finding and Comparison With UVS Model of Solar System

On Possibility of Binary Companion of the Sun: A Serendipity Finding and Comparison With UVS Model of Solar System