Forecast of Energy Consumption of Drying System According to The Environmental Temperature and Humidity on IoT by Arima Algorithm

Author(s):  
Chi-Phi Do ◽  
Quang-Huy Le ◽  
Duy-Phuoc Pham ◽  
Dinh-Kha Le
2010 ◽  
Vol 30 (6) ◽  
pp. 612-614
Author(s):  
Xiao FANG ◽  
Lin LUO ◽  
Lei ZHANG ◽  
Hai-xia QI ◽  
Xiao-dong LIU ◽  
...  

2021 ◽  
Vol 11 (6) ◽  
pp. 2772
Author(s):  
Bin Li ◽  
Zhiheng Zeng ◽  
Xuefeng Zhang ◽  
Ye Zhang

To realize energy-saving and efficient industrial grain drying, the present work studied the variable-temperature drying process of corn drying in a novel industrial corn-drying system with a heat recycling and self-adaptive control function. The drying kinetics, thermal performance, heat-loss characteristics and the heat-recycling performance of the drying system under different allocations between flue gas and hot air were investigated, and the optimized drying process was proposed and compared with two constant drying processes. The results showed that the optimized drying process exhibited better drying kinetic and thermal performance than the two constant drying processes. More specifically, the total heat loss, total energy consumption and specific energy consumption of the optimized drying process were ascertained to be 36,132.85 MJ, 48,803.99 MJ and 7290.27 kJ/kg, respectively, which were lower than those of the other two processes. On the other hand, the thermal efficiency of the drying chamber for the optimized drying process was ascertained to be varied within the range of 6.81–41.71%. Overall, the validation results showed that the optimized drying process can significantly improve the drying performance of the drying system.


2017 ◽  
Vol 47 (1) ◽  
Author(s):  
Eliza Rigoni de Pontes ◽  
Pedro Henrique Weirich Neto ◽  
Altair Justino ◽  
Carlos Hugo Rocha ◽  
Luiz Cláudio Garcia

ABSTRACT: This study aimed to compare the temperatures in the mass of bulk soybeans ( Glycine max ) in warehouses with isolated vents and vent-combined exhaustion. A completely randomized design was used, with two treatments and ten repetitions. Treatments consisted of warehouse with curved vents and warehouse with curved + static exhaust vents. Each repetition contained the average of all readings in three days in all cables of the warehouse part under study, totaling 10 repetitions per month. The variable analyzed was the temperature in the grain mass in the lower, middle and upper parts of the warehouse from January to May 2012. The environment temperature and humidity were also registered. Static hoods, along with curved vents on the roof of the warehouse showed a tendency to reduce the temperature of the soybean mass with decrease in environmental temperature and increase in relative environmental humidity.


Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3440 ◽  
Author(s):  
Chin-Chi Cheng ◽  
Dasheng Lee

The study continues the theoretical derivation from Part 1, and the experiment is carried out at a bus station equipped with six water-cooled chillers. Between 2012 and 2017, historical data collected from temperature and humidity sensors, as well as the energy consumption data, were used to build artificial intelligence (AI) assisted heating ventilation and air conditioning (HVAC) control models. The AI control system, in conjunction with a specifically designed prior information notice (PIN) sensor, was used to improve the prediction accuracy. This data collected between 2012 and 2016 was used for AI training and PIN sensor testing. During the hottest week of 2017 in Taiwan, the PIN sensor was used to conduct temperature and humidity data predictions. A model-based predictive control was developed to obtain air conditioning energy consumption data. The comparative results between the predictive and actual data showed that the temperature and humidity prediction accuracies were between 95.5 and 96.6%, respectively. Additionally, energy savings amounting to 39.8% were achieved compared to the theoretical estimates of 44.6%, a difference of less than 5%. These results show that the experimental model supports the theoretical estimations. In the future, a PIN sensor will be installed in a chiller to further verify the energy savings of the AI assisted HVAC control.


2020 ◽  
Vol 143 (8) ◽  
Author(s):  
Siamak Hoseinzadeh ◽  
P. Stephan Heyns

Abstract In this article, energy, exergy, and environmental (3E) analysis of a 400 MW thermal power plant is investigated. First, the components of the power plant are examined in terms of energy consumption, and subsequently the energy losses, exergy destruction, and exergetic efficiency are obtained. It is shown that the highest energy losses are in the closed feedwater heaters Nos. 1 and 5 and the boiler with amounts of 7.6 × 10 J/s and 6.5 × 107 J/s, respectively. The highest exergy destruction occurs in the boiler and amounts to 4.13 × 108 J/s. The highest exergetic efficiency is 0.98 and is associated with the closed feedwater heaters Nos. 4 and 8. It is observed that the exergetic efficiency and exergy destruction in the boiler are the primarily affected by changes in the environmental temperature. Furthermore, by increasing the main pressure in the turbine, the load on the power plant is increased, and increasing the condenser pressure reduces the load on the power plant. In an environmental analysis, the production of pollutants such as SO2 production and CO2 emission has been investigated.


Author(s):  
Naoki Maruyama ◽  
Daisuke Tanaka ◽  
Toshiki Shimizu

The increase of waste and the dryness of natural resources including fossil fuels have become serious problems for the sustainable development of industrial activities and our daily living. A great deal of human effort has been put into the careful use of finite resources and environmental impact reduction. The appropriate processing and the effective use of waste are really in demand in light of our social responsibility for manufacturing and energy development. In addition, the construction of a new recycle system for production is also important from the standpoint of the manufacturer’s responsibility. A procedure is being developed to process industrial and municipal wet wastes to solid fuel, called Refuse paper & plastic fuel (RPF), using superheated steam. A drying system using superheated steam is drawing much attention for use with drying high water content materials due to its high thermal efficiency. A material recycle system for processing high water content waste to solid fuel will be introduced in the present study using a demonstration system, and the optimum conditions for the system operation will be examined. The temperature and the quantity of superheated steam required for material drying are evaluated, and the energy consumption and emissions from the system are theoretically estimated and compared. The purpose of this paper is to test-operate a practical waste recycle system, and the results of this new system are compared with the results from a waste incinerator. The effectiveness of a drying system using superheated steam is shown from the standpoint of the reduction of CO2 emissions and energy consumption for the waste processing.


FLORESTA ◽  
2001 ◽  
Vol 31 (12) ◽  
Author(s):  
Carlos Eduardo Camargo De Albuquerque

Este trabalho foi realizado com o propósito de desenvolver um equipamento destinado à pré-secagem de partículas de madeira, utilizadas na produção de chapas de madeira aglomerada, onde foram analisados os efeitos dos parâmetros de secagem e o consumo energético do equipamento. O equipamento de pré-secagem mostrou-se viável sob os pontos de vista da eficiência e do consumo energético, sendo indicada à adoção deste sistema de pré-secagem pelas indústrias de chapas de partículas. Development and energy consumption analysis of wood particles to particleboard production Abstract This experience has the main purpose of developing an equipment destinated to the pre-drying of wood particles used in the production of particleboards, where the drying effects have been analised and the equipment energy consumption. The equipment of pre-drying showed to be accomplishable by the points of view of efficiency and energetic consumption, being indicated the adoption of this pre-drying system by particleboard industries.


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