scholarly journals ANALISIS KINERJA PHOTOVOLTAIK PADA STAND ALONE

2019 ◽  
Vol 15 (2) ◽  
pp. 203
Author(s):  
Herman HR
Keyword(s):  
Power Generation ◽  
Solar Power ◽  
Electrical Energy ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Mean Power ◽  
Scientific Publications ◽  
Alternative Source ◽  
Solar Power Generation ◽  
Solar Photovoltaic System

Solar Power Generation (SPG), or often called solar photovoltaic system, is one application of the use of solar energy as a source of electrical energy. This PLTS utilizes solar cells (photovoltaic) to generate electrical energy. The aimed of this research were to know the performance of PLTS installed power 150 Wp stand alone and know how much power capacity can be supplied by PLTS. Solar Power Generation (Photovoltaics) most influenced by the intensity of sunlight depending on each region. Module with a capacity of 150 Wp has been able to produce a mean power of 133.7 Watt / day. The expected output in this research was to create a good system and can contribute to student labs in laboratories and as an alternative source of energy in the Department of Mechanical Engineering and Maintenance, and beneficial for the development of electric power generation system in district of Fak-fak. This research was also expected to produce Scientific Publications in local journals.

Research on Application of Solar Photovoltaic Grid Power System Research

2014 ◽  
Vol 687-691 ◽  
pp. 3227-3230
Author(s):  
Yan Hao Wen ◽  
Da Hua Li ◽  
Jun Fang Li ◽  
Yu Chen Jiang
Keyword(s):  
Power Generation ◽  
Electrical Energy ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
System Research ◽  
Advantages And Disadvantages ◽  
Photovoltaic Power ◽  
Solar Photovoltaic System ◽  
Research On Application ◽  
Development Group

Research on the conditions of solar photovoltaic grid connected power generation, research the form of converting solar energy into electrical energy generating.This paper introduces the solar photovoltaic system components, advantages and disadvantages as well as the current domestic solar photovoltaic power generation application status, prospect the development of the trend in the future, according to the analysis of the present problems. And relying on Tianjin CNOOC oil development group of Yingkou natural gas terminal 330KW solar photovoltaic power generation demonstration projects are introduced. For the photovoltaic CNOOC Yingkou terminal-station problems presents the feasibility scheme and suggestion.

scholarly journals Performance of Rooftop Grid Connected Solar Photovoltaic System

2020 ◽  
Vol 9 (1) ◽  
pp. 1056-1062
Keyword(s):  
Electric Power ◽  
Power Efficiency ◽  
Polycrystalline Silicon ◽  
Photovoltaic System ◽  
Experimental Setup ◽  
Solar Photovoltaic ◽  
Grid System ◽  
Time Data ◽  
Solar Power Generation ◽  
Solar Photovoltaic System

Solar Technology is fast becoming a preferred trend in the field of electric power. This is because of the fact that solar energy, freely available is transferred into electric power without causing any environment hazard. Commercial power system is grid organized system. Therefore, the solar system also needs cooperative to established grid system. Grid connected solar photovoltaic system is a friendly and affordable system for large solar power generation. These systems exhibit good power efficiency beside of their other advantages. Here we pursue our studies on 150 KW grid connected SPV system. In this paper we design and model a 150 KW SPV system and compared its performance with the real time data collected by us through our experimental setup. The experimental setup is based on the module provided by RenewSys DESERV 3M6 with 72 cells on SPV module. This module is a polycrystalline silicon module and was manufactured in the year 2018 and purchased in the same year. In this study important effects that the performance degradation is also considered and the overall results obtained are found satisfactory

scholarly journals Performance and Economic Evaluation of Solar Rooftop Systems in Different Regions of Thailand

2019 ◽  
Vol 11 (23) ◽  
pp. 6647 ◽  
Author(s):  
Suntiti Yoomak ◽  
Theerasak Patcharoen ◽  
Atthapol Ngaopitakkul
Keyword(s):  
Power Generation ◽  
Economic Evaluation ◽  
Solar Radiation ◽  
Large Scale ◽  
Net Present Value ◽  
Solar Power ◽  
Electrical Energy ◽  
Solar Panels ◽  
Solar Power Generation ◽  
Generation Capacity

Solar rooftop systems in the residential sector have been rapidly increased in the term of installed capacity. There are various factors, such as climate, temperature, and solar radiation, that have effects on solar power generation efficiency. This paper presents a performance assessment of a solar system installed on the rooftop of residence in different regions of Thailand by using PSIM simulation. Solar rooftop installation comparison in different regions is carried out to evaluate the suitable location. In addition, three types of solar panels are used in research: monocrystalline, polycrystalline, and thin-film. The electrical parameters of real power and energy generated from the systems are investigated and analyzed. Furthermore, the economic evaluation of different solar rooftop system sizes using the monocrystalline module is investigated by using economic indicators of discounted payback period (DPP), net present value (NPV), internal rate of return (IRR), and profitability index (PI). Results show that the central region of Thailand is a suitable place for installing solar rooftop in terms of solar radiation, and the temperature has more solar power generation capacity than the other regions. The monocrystalline and polycrystalline solar panels can generate maximum power close to each other. All solar rooftop sizes with the Feed-in Tariff (FiT) scheme give the same DPP of 6.1 years, IRR of 15%, and PI of 2.57 which are better than the cases without the FiT scheme. However, a large-scale installation of solar rooftop systems can receive more electrical energy produced from the solar rooftop systems. As a result, the larger solar rooftop system sizes can achieve better economic satisfaction.

scholarly journals The Electrical Energy Modeling of the Modular Off-Grid PV System for Aquaculture Application in the EEC Region

2021 ◽  
Vol 302 ◽  
pp. 01006
Author(s):  
Sukkhi Buakaew ◽  
Prayut Jiamrittiwong ◽  
Nutdechatorn Puangngernmak
Keyword(s):  
Electrical Energy ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Pv System ◽  
Modular Systems ◽  
Traditional System ◽  
Recirculating Aquaculture ◽  
Recirculating Aquaculture Systems ◽  
Gravid Females ◽  
Solar Photovoltaic System

Renewable energy as a solar photovoltaic system represents an essential role in improving and promoting energy sustainability in agricultural/aquaculture-related activities. The “Crab Bank” is the program on practicing the caught gravid females of Blue Swimming Crab (BSC) in supporting conditions, allowing them to spawn and then release the zoea and young crabs back to the sea where are in the Eastern Economic Corridor (EEC). Onward with the project, many scientific studies assess the BSC stocks condition, evaluate the fishing habitat, and other relevant issues as the energy used in a micro-indoor system as Recirculating Aquaculture Systems (RAS). The off-grid solar photovoltaic system is used in the system cause the installed location was near the seaside area. The system’s large size was operating, including solar panels, inverter, charger, and batteries to maintain the AC motor pump, affecting much energy loss in the system. The off-grid solar system design for modular systems is represented in this paper to describe the new structure of the micro modular RAS that reduces cost and increases the solar system’s efficiency in modular concepts comparing the traditional system. The new structure model represents the calculation result in the term of electrical energy and experiment to scale for replacement in the aquaculture area in Rayong or Jantaburi in the EEC region. This research is a cooperation between KMUTNB Rayong and the Provincial Energy Office Of Rayong.

scholarly journals Rancang Bangun Passive Photovoltaic 50 Wp Di Laboratorium Energi Terbarukan Politeknik Negeri Malang

2020 ◽  
Vol 7 (3) ◽  
pp. 21-26
Author(s):  
Mohammad Noor Hidayat ◽  
Ahmad Hermawan ◽  
Afriana Viro Fadilla ◽  
Muhammad Aden Herry Prakoso ◽  
Nurhayati
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
System Design ◽  
Solar Power ◽  
Electrical Energy ◽  
Solar Panels ◽  
Renewable Electricity ◽  
Generation System ◽  
Solar Power Generation ◽  
Power Generation System

Electrical energy is a very important part of human activity at this time. At present a very popular source of renewable electricity is energy (solar) through the use of solar power generation system. "Design Passive Photovoltaic 50 Wp in Renewable Energy Laboratory State Polytechnic of Malang" aims to plan and analyze the solar power generation system (PLTS), namely a capacity of 50 wp,so that it can be used as a guideline when going to design or implement PLTS on a larger scale. Based on the analysis and testing carried out, namely testing of 50 Wp passive solar panels under normal (clean) angles of 0º, 15º, 30º and shading angles of 0º, as well as the fouling angle of 0º produces the highest energy of 210.7 Wh when the condition of the solar panels is at an angle of normal 30º.

scholarly journals MPPT Controller based Nine Level Inverter using Solar Power Generation System

2020 ◽  
Vol 9 (8) ◽  
pp. 688-693
Keyword(s):  
Power Generation ◽  
Output Voltage ◽  
Solar Power ◽  
Power Converter ◽  
Photovoltaic System ◽  
Generation System ◽  
Solar Power Generation ◽  
System A ◽  
Power Generation System ◽  
Power Point

This project proposed a solar power generation system is used for the MPPT (maximum power point tracker) controller in a nine-level inverter. The selection of the capacitor circuit is configured using nine-level inverter and a cascade-connected to the full-bridge power converter. The nine-level inverter contains seven powers. Electronic switches simplify the configuration of the circuit system. A single electronic power switch is switched to the high frequency at any time to generate a nine-level output voltage. The output of the photovoltaic solar panel system will be fed into an MPPT algorithm to obtain a maximum amount of energy from a photovoltaic system, and this technique is used for the generation of residential renewable energy. The output voltage of a photovoltaic solar system is completed by the use of the DC-DC power converter with independent voltage sources for an inverter and reduces the harmonics generated. The nine-level inverter reduced with switches in power generation.

Intelligent Vehicle Based on Solar Power Generation and Semiconductor Refrigeration Air Conditioner

2013 ◽  
Vol 448-453 ◽  
pp. 1547-1550 ◽  
Author(s):  
Qiang Liu ◽  
Shu Chen Yang ◽  
Jun Wang
Keyword(s):  
Power Generation ◽  
Solar Power ◽  
Heating Surface ◽  
Electrical Energy ◽  
Cooling Power ◽  
Intelligent Vehicle ◽  
Air Conditioner ◽  
Processor Core ◽  
Solar Power Generation

To solve the car in the sun after the problem of high temperature inside the car, to make the intelligent vehicle based on solar power generation and semiconductor refrigeration air conditioning, the solar panels convert solar energy into electrical energy, in our production based on ARM architecture - M3 processor core LM3S615 micro controller of solar power controller under the control of the converted to battery power, battery supply power to refrigeration semiconductor under the controller control of semiconductor refrigeration elements side pick up the car refrigeration is reduce the interior temperature, heating surface pickup in vitro heat pipes for heat transfer to the outside of the car, and the car is equipped with temperature sensors to detect the temperature inside the car can, when the temperature reaches a set temperature refers to the controller control battery supply power to refrigeration piece to reduce the temperature inside the car, when the temperature is lower than a set temperature controller to control battery direction to the cooling power to improve the temperature inside the car, achieve the result of intelligent temperature control of the car, to reduce pollution, save energy and has strong practical value.

scholarly journals An innovative learning approach for solar power forecasting using genetic algorithm and artificial neural network

2020 ◽  
Vol 10 (1) ◽  
pp. 630-641 ◽  
Author(s):  
Debasish Pattanaik ◽  
Sanhita Mishra ◽  
Ganesh Prasad Khuntia ◽  
Ritesh Dash ◽  
Sarat Chandra Swain
Keyword(s):  
Solar Power ◽  
Weather Condition ◽  
Photovoltaic System ◽  
Design Stage ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Time Data ◽  
Pv System ◽  
Simulink Model ◽  
Solar Photovoltaic System

AbstractAnalysing the Output Power of a Solar Photo-voltaic System at the design stage and at the same time predicting the performance of solar PV System under different weather condition is a primary work i.e. to be carried out before any installation. Due to large penetration of solar Photovoltaic system into the traditional grid and increase in the construction of smart grid, now it is required to inject a very clean and economic power into the grid so that grid disturbance can be avoided. The level of solar Power that can be generated by a solar photovoltaic system depends upon the environment in which it is operated and two other important factor like the amount of solar insolation and temperature. As these two factors are intermittent in nature hence forecasting the output of solar photovoltaic system is the most difficult work. In this paper a comparative analysis of different solar photovoltaic forecasting method were presented. A MATLAB Simulink model based on Real time data which were collected from Odisha (20.9517∘N, 85.0985∘E), India. were used in the model for forecasting performance of solar photovoltaic system.

scholarly journals Neural Network Ensemble-Based Solar Power Generation Short-Term Forecasting

2010 ◽  
Vol 14 (1) ◽  
pp. 69-75 ◽  
Author(s):  
Aymen Chaouachi ◽  
◽  
Rashad M. Kamel ◽  
Ken Nagasaka
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Power Generation ◽  
Solar Power ◽  
Photovoltaic System ◽  
Neural Network Ensemble ◽  
Error Performance ◽  
Solar Power Generation ◽  
The Neural Network ◽  
Short Term Forecasting

This paper presents the applicability of artificial neural networks for 24 hour ahead solar power generation forecasting of a 20 kW photovoltaic system, the developed forecasting is suitable for a reliable Microgrid energy management. In total four neural networks were proposed, namely: multi-layred perceptron, radial basis function, recurrent and a neural network ensemble consisting in ensemble of bagged networks. Forecasting reliability of the proposed neural networks was carried out in terms forecasting error performance basing on statistical and graphical methods. The experimental results showed that all the proposed networks achieved an acceptable forecasting accuracy. In term of comparison the neural network ensemble gives the highest precision forecasting comparing to the conventional networks. In fact, each network of the ensemble over-fits to some extent and leads to a diversity which enhances the noise tolerance and the forecasting generalization performance comparing to the conventional networks.

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