Prediction of the Power Generation Solar Power Plant System in Thailand

2019 ◽  
Author(s):  
Phasapon Manosukritkul
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Solar Power ◽  
Solar Power Plant ◽  
Plant System

scholarly journals Use of a Big Data Analysis in Regression of Solar Power Generation on Meteorological Variables for a Korean Solar Power Plant

2021 ◽  
Vol 11 (4) ◽  
pp. 1776
Author(s):  
Young Seo Kim ◽  
Han Young Joo ◽  
Jae Wook Kim ◽  
So Yun Jeong ◽  
Joo Hyun Moon
Keyword(s):  
Power Generation ◽  
Data Analysis ◽  
Power Plant ◽  
Relative Humidity ◽  
Regression Model ◽  
Regression Models ◽  
Solar Power ◽  
Meteorological Variables ◽  
Solar Power Plant ◽  
Solar Power Generation

This study identified the meteorological variables that significantly impact the power generation of a solar power plant in Samcheonpo, Korea. To this end, multiple regression models were developed to estimate the power generation of the solar power plant with changing weather conditions. The meteorological data for the regression models were the daily data from January 2011 to December 2019. The dependent variable was the daily power generation of the solar power plant in kWh, and the independent variables were the insolation intensity during daylight hours (MJ/m2), daylight time (h), average relative humidity (%), minimum relative humidity (%), and quantity of evaporation (mm). A regression model for the entire data and 12 monthly regression models for the monthly data were constructed using R, a large data analysis software. The 12 monthly regression models estimated the solar power generation better than the entire regression model. The variables with the highest influence on solar power generation were the insolation intensity variables during daylight hours and daylight time.

scholarly journals Testing of Solar Power Plant Components Off-Grid Systems and Engineering Economic Analysis at Cemara Island, Brebes Regency, Indonesia

2019 ◽  
Vol 125 ◽  
pp. 10003 ◽  
Author(s):  
Jaka Windarta ◽  
Ardhito Pratama ◽  
Denis ◽  
Agung Nugroho
Keyword(s):  
Power Plant ◽  
Solar Energy ◽  
Economic Analysis ◽  
Solar Power ◽  
Electrical Energy ◽  
Planning System ◽  
Solar Power Plant ◽  
Radiation Level ◽  
Plant System ◽  
Break Even Point

Indonesia is a country that is geographically located right in the equator and variously advantage and the wide for the use of solar energy. Indonesia has a relatively high radiation level, which is 4.80 kWh / m2 / day. Cemara Island is a tourist place but does not have electricity from PLN because access to its location is still difficult to reach. So from that chosen the planning system for the use of electrical energy using solar energy. However, economic analysis is needed so that the estimated weaknesses of the off-grid solar system can be estimated so as to reduce the risk of losses. The testing of each component in the Solar Power Plant system also needs to be done to determine the condition and quality of the components to be used. The economic analysis of the Cemara Island Solar Power Plant System with an initial investment of Rp 52,553,000, in scenario 1 uses interest at 6%, then in scenario 2 without using interest. Through calculations by looking for the value of COE (Energy Cost), NPC (Net Present Cost) and BEP (Break-Even Point), so that costs can be calculated by the manager with the number of 11 managers per month.

scholarly journals ANALYSIS OF FACTORS FOR FORECASTING ELECTRIC POWER GENERATION BY SOLAR POWER PLANTS

2020 ◽  
Author(s):  
D. Matushkin ◽  
А. Bosak ◽  
L. Kulakovskyi
Keyword(s):  
Mathematical Model ◽  
Power Generation ◽  
Power Plant ◽  
Electric Power ◽  
Electricity Generation ◽  
Solar Power ◽  
Target Function ◽  
Solar Power Plant ◽  
Electric Power Generation ◽  
The Mathematical Model

The new model of the wholesale electricity market in Ukraine causes appearance the market for the day ahead. In this market, the generating company undertakes to supply a certain amount of electricity. So, it is necessary to carry on the most accurate forecast of possible electricity generation by solar power plant (SPP). Generation value depends on certain factors. A brief summary of different influence of parameters on the PV cell performance has been provided. The article analyzes and identifies the factors that should be included in the forecast mathematical model of electricity generation by a solar power plant for a certain short-term period. According to analyzed data from SPP located in the Kyiv region, such parameters are the intensity of solar radiation, temperature and humidity, wind speed, and atmospheric pressure. The degree of influence of these factors on the initial function of electric energy generation were estimated by analyzing the scatter plot diagrams of relationship between parameters and correlation coefficients. Thus, the analysis of the influence of factors on the magnitude of electricity generation allowed to determine the priority of including each of the parameters in the mathematical model of the SPP power forecast. It was established that the influence of certain climate parameters for target function is different in each season. Therefore, in the mathematical model for forecasting electric power generation, it is necessary to take into account seasonality. In addition, the dynamic value change of factors also affects the current magnitude of electricity generation. Moreover, at different times of the year and with different combination of the corresponding values of climatic parameters, this effect may have different magnitudes. Therefore, the data obtained from the last periods before the forecasting should have a greater impact on obtaining the predicted value than the data from previous periods.

scholarly journals Design and Performance Analysis of 600 W On-Grid Solar Power Plant System based on Maximum Power Point Tracking (MPPT)

2021 ◽  
Vol 2111 (1) ◽  
pp. 012009
Author(s):  
Nurhening Yuniarti ◽  
Alex Sandria Jaya Wardhana ◽  
Bagas Woro Saputra
Keyword(s):  
Power Plant ◽  
Solar Power ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Solar Power Plant ◽  
Maximum Power Point ◽  
Plant System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Abstract This research aimed to make, test, and analyse the performance of 600 W on-grid solar power plant system based on maximum power point tracking (MPPT). This research used a developmental research method with the ADDIE model that was developed by Robert Maribe Branch. The results obtained data that the average power that was produced and distributed to the PLN grid reached 22.5 W with 95.67% efficiency from the grid-tie inverter usage.

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