Design and prediction method of dual working medium solar energy drying system

2021 ◽  
pp. 117153
Author(s):  
Wengang Hao ◽  
Han Zhang ◽  
Shuonan Liu ◽  
Yanhua Lai
Keyword(s):  
Solar Energy ◽  
Prediction Method ◽  
Working Medium ◽  
Drying System

scholarly journals Forecasting Japan’s Solar Energy Consumption Using a Novel Incomplete Gamma Grey Model

2019 ◽  
Vol 11 (21) ◽  
pp. 5921 ◽  
Author(s):  
Peng Zhang ◽  
Xin Ma ◽  
Kun She
Keyword(s):  
Energy Consumption ◽  
Solar Energy ◽  
Nonlinear Coefficient ◽  
Prediction Method ◽  
Decision Makers ◽  
Grey Model ◽  
Correct Prediction ◽  
Grey Prediction ◽  
Real World Datasets ◽  
Application Fields

Energy consumption is an essential basis for formulating energy policy and programming, especially in the transition of energy consumption structure in a country. Correct prediction of energy consumption can provide effective reference data for decision-makers and planners to achieve sustainable energy development. Grey prediction method is one of the most effective approaches to handle the problem with a small amount of historical data. However, there is still room to improve the prediction performance and enlarge the application fields of the traditional grey model. Nonlinear grey action quantity can effectively improve the performance of the grey prediction model. Therefore, this paper proposes a novel incomplete gamma grey model (IGGM) with a nonlinear grey input over time. The grey input of the IGGM model is a revised incomplete gamma function of time in which the nonlinear coefficient determines the performance of the IGGM model. The WOA algorithm is employed to seek for the optimal incomplete coefficient of the IGGM model. Then, the validations of IGGM are performed on four real-world datasets, and the results exhibit that the IGGM model has more advantages than the other state-of-the-art grey models. Finally, the IGGM model is applied to forecast Japan’s solar energy consumption in the next three years.

A performance prediction method for solar energy systems

Solar Energy ◽  
1992 ◽  
Vol 48 (3) ◽  
pp. 169-175 ◽  
Author(s):  
H. Suehrcke ◽  
P.G. McCormick
Keyword(s):  
Solar Energy ◽  
Performance Prediction ◽  
Prediction Method ◽  
Energy Systems ◽  
A Performance

scholarly journals Combined system of energy generation from biomass and solar energy

2018 ◽  
Vol 49 ◽  
pp. 00132
Author(s):  
Renata Włodarczyk ◽  
Robert Zarzycki ◽  
Zbigniew Bis
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Intelligent System ◽  
Renewable Energy Sources ◽  
Public Utility ◽  
Working Fluid ◽  
Combined System ◽  
Working Medium ◽  
Additional Equipment ◽  
Automation And Control

The study discussed the design and principle of operation of an intelligent system that uses renewable energy sources (RES) in the form of biomass and solar energy. The aim of the system is to supply heat to public utility buildings in Częstochowa, Poland. The system of renewable energy conversion includes boilers fuelled by biomass in the form of pellets and evacuated tube solar collectors. An additional equipment for the system is buffer tanks, computer-aided monitoring of operating parameters of the system and calorimeters with the system of automation and control of the system operation. The study discusses possible problems with the use of solar installations and processes of degradation of metal components, glass tubes and working medium. The basic criteria that have to be met by the working fluid in the system, parameters that have to be periodically controlled during the use of solar installations and mixtures of fluids available in the renewable energy market were presented.

scholarly journals Best Practices on Metamodel-Based Photovoltaic Monitoring System with Prediction Method for Photovoltaic Power Generation

2020 ◽  
Vol 10 (14) ◽  
pp. 4762
Author(s):  
Woo Sung Jang ◽  
Je Seong Hong ◽  
Jang Hwan Kim ◽  
Byung Kook Jeon ◽  
R. Young Chul Kim
Keyword(s):  
Power Generation ◽  
Solar Energy ◽  
Real Time ◽  
Monitoring System ◽  
Prediction Method ◽  
Heterogeneous Data ◽  
Photovoltaic System ◽  
Small Farm ◽  
Energy Company ◽  
Photovoltaic Power

HS Solar Energy Company Inc. in Sejong city, Korea, has a big problem on how to monitor heterogeneous inverters with different protocols. Still a current photovoltaic power plant with different inverters, it has attracted significant attention to its experience of difficulties in monitoring integrated power generation. To solve this problem for the company, we adapt a metamodel mechanism to easily manage and integrate heterogeneous data into a metamodel-based data format. The existing metamodel-based photovoltaic monitoring system (M-PVMS) of the HS solar energy company also needs to simply predict the photovoltaic power generation in a day for small farm owners in the countryside. Therefore, we propose a method for predicting the power generation of M-PVMS panels using the gated recurrent unit (GRU) algorithm, which supports real-time learning to predict the photovoltaic system behavior that rapidly accumulates data in real time. As a result, we can predict the power generation for small farm owners with a probability of 96.353%.

scholarly journals The effect of storage on some chemical and microbial properties of apricots dried with a combined solar energy assisted air and hot air assisted radio frequency drying system

2021 ◽  
Vol 7 (4) ◽  
pp. 259-271
Author(s):  
Hatice Neval Özbek ◽  
Aysel Elik ◽  
Melis Sever ◽  
Şakire Ecem Bulut ◽  
Derya Koçak Yanık ◽  
...  
Keyword(s):  
Solar Energy ◽  
Radio Frequency ◽  
Phenolic Content ◽  
Storage Temperature ◽  
Total Phenolic ◽  
Hot Air ◽  
Hull Extract ◽  
Drying System ◽  
Microbial Stability ◽  
Β Carotene

Innovative combined solar energy assisted air and hot air assisted radio frequency drying system was used to dry unsulphured, sulphured (1 kg/ton and 2 kg/ton sulphur) and pistachio hull extract treated apricots. Unsulphured and sulphured apricots dried under sun were used as the control samples. The effects of different storage temperatures (5, 20 and 35oC) on residual sulphur content, β-carotene and microbial stability characteristics of dried apricots were studied. Also, the effect of storage temperature on the total phenolic content of dried apricots pre-treated with pistachio hull extract was investigated. The obtained results showed that the loss of sulphur and β-carotene was less in the products stored at 5oC compared to the products stored at 20 and 35oC. Sulphur treatment significantly inhibited the loss of β-carotene during storage. The maximum decrease in phenolic content of dried apricots pretreated with extract, was observed in samples stored at 20°C. In addition, extract treatment provided an advantage in terms of storage considering the microbial quality. The combined drying system caused less sulfur loss compared to sun drying.

scholarly journals Augmenting natural convection and conduction based solar dryer

2018 ◽  
Author(s):  
B. Thorat ◽  
A. Chavan ◽  
A. Sikarwar ◽  
V. Tidke
Keyword(s):  
Heat Transfer ◽  
Natural Convection ◽  
Solar Energy ◽  
Boundary Conditions ◽  
Cost Effective ◽  
Global Market ◽  
Cfd Modeling ◽  
Solar Insolation ◽  
Radiation Mechanism ◽  
Drying System

Solar conduction dryer (SCD) is a unique technology that uses conduction, convection and radiation mechanism of heat transfer making it one of the most efficient drying system. The SCD is one of the most effective piece of equipment’s designed indigenously and it has tremendous potential to capitalize in erstwhile nations of tropical and torrid region where there is abundance of solar insolation. SCD, the most cost-effective dryer which runs on no electricity has already made inroads in the global market. In the present study, CFD studies were carried out for a given geometry and the corresponding boundary conditions. Keywords: Solar Energy; Solar Conduction Dryer; CFD modeling 

scholarly journals Operation and Control of Space-Based Solar Energy Power Plants With CCGT Using Helium as a Working Medium

1986 ◽  
Author(s):  
A. Sutsch
Keyword(s):  
Solar Energy ◽  
Power Plants ◽  
Space Station ◽  
Manufacturing Processes ◽  
Closed Cycle ◽  
Large Space ◽  
Industrial Manufacturing ◽  
Working Medium ◽  
Process Heat ◽  
And Control

The features of a Space-based Solar Energy Power Plant for electric power generation with a closed cycle gas turbine running on Helium are discussed. The system is intended for generating both electricity and process heat for industrial manufacturing processes in a large space station. A system overview for operation and control of such a plant is presented.

scholarly journals Solar Irradiance Forecast Based on Cloud Movement Prediction

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3775
Author(s):  
Aleksander Radovan ◽  
Viktor Šunde ◽  
Danijel Kučak ◽  
Željko Ban
Keyword(s):  
Energy Storage ◽  
Solar Energy ◽  
Solar Irradiance ◽  
Energy Production ◽  
Storage System ◽  
Prediction Method ◽  
System Optimization ◽  
Photovoltaic System ◽  
Solar Irradiation ◽  
Cloud Detection

Solar energy production based on a photovoltaic system is closely related to solar irradiance. Therefore, the planning of production is based on the prediction of solar irradiance. The optimal use of different energy storage systems requires an accurate prediction of solar irradiation with at least an hourly time horizon. In this work, a solar irradiance prediction method is developed based on the prediction of solar shading by clouds. The method is based on determining the current cloud position and estimating the velocity from a sequence of multiple images taken with a 180-degree wide-angle camera with a resolution of 5 s. The cloud positions for the next hour interval are calculated from the estimated current cloud position and velocity. Based on the cloud position, the percentage of solar overshadowing by clouds is determined, i.e., the solar overshadowing curve for the next hour interval is calculated. The solar irradiance is determined by normalizing the percentage of the solar unshadowing curve to the mean value of the irradiance predicted by the hydrometeorological institute for that hourly interval. Image processing for cloud detection and localization is performed using a computer vision library and the Java programming language. The algorithm developed in this work leads to improved accuracy and resolution of irradiance prediction for the next hour interval. The predicted irradiance curve can be used as a predicted reference for solar energy production in energy storage system optimization.

Sign in / Sign up

Export Citation Format

Share Document