scholarly journals Justification of the parameters of a pneumatic conveyor for active ventilation of soybean during storage

2019 ◽  
Vol 287 ◽  
pp. 04004
Author(s):  
Sholpan Duisenova ◽  
Aibek Atykhanov ◽  
Dimitar Karaivanov
Keyword(s):  
Power Consumption ◽  
Factors Affecting ◽  
Technological Characteristics ◽  
Classical Calculation

The article proposes a methodology for studying the productivity (capacity) and power consumption of a pneumatic conveyor for active ventilation of soybeans in container-modular storage in farms and the factors affecting them. In determining the parameters of the pneumatic conveyor, the physical and technological characteristics of the grain (soybean) are taken into account. The proposed methodology is based on the method of classical calculation for selecting a pneumatic conveyor with nominal parameters, which is necessary not only for transportation, both vertically and horizontally, but also for active ventilation of grain in containers during storage. The purpose of the methodology is to select a specific pneumatic conveyor for container-modular equipment for soybeans storage in the conditions of farms in Kazakhstan.

scholarly journals Energy-Efficient Method for Wireless Sensor Networks Low-Power Radio Operation in Internet of Things

2020 ◽  
Author(s):  
Mehdi Amiri Nasab ◽  
Shahaboddin Shamshirband ◽  
Anthony Theodore Chronopoulos ◽  
Amir Mosavi ◽  
Narjes Nabipur
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Power Consumption ◽  
Low Power ◽  
Time Factors ◽  
Wireless Sensor ◽  
Common Source ◽  
Factors Affecting ◽  
Duty Cycles

The radio operation in wireless sensor networks (WSN) in the Internet of Things (IoT) applications are the most common source for power consumption. However, recognizing and controlling the factors affecting radio operation can be valuable for managing the node power consumption. ContikiMAC is a low-power Radio Duty-Cycle protocol in Contiki OS used in WakeUp mode, which is a clear channel assessment (CCA) to check radio status periodically. The time spent to check the radio is of utmost importance for monitoring power consumption. It can lead to false WakeUp or idle listening in Radio Duty-Cycles and ContikiMAC. This paper presents a detailed analysis of radio WakeUp time factors of ContikiMAC. Then, we propose lightweight CCA (LW-CCA) as an extension to ContikiMAC to reduce the percentage of Radio Duty-Cycles in false WakeUps and idle listenings by using dynamic received signal strength indicators (RSSI) status check time. The simulation results in the Cooja simulator show that LW-CCA reduces about 8% energy consumption in nodes while maintaining up to 99% of the packet delivery rate (PDR).

Analysis and modeling of regional electric power consumption subject to influence of external factors

2021 ◽  
Vol 3 ◽  
pp. 12-17
Author(s):  
Sergey Karpenko ◽  
Nadezhda Karpenko
Keyword(s):  
Time Series ◽  
Power Consumption ◽  
Electric Power ◽  
Multiplicative Model ◽  
External Factors ◽  
Electric Power Consumption ◽  
Climate Factors ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Forecasting Methods

Electric power consumption along with a large variety of factors affecting it can be forecasted and modelled by using econometric forecasting methods, including time series and correlation and regression analysis. For the purpose of this research, electric power consumption in the Moscow Region, Russia, was modelled with consideration of economic and climate factors based on 2019–2020 power usage data. A multiplicative model for regional electric power consumption and correlations between electric power consumption and an air temperature as well as a total number of cloudy days a month were built. The results will be helpful for analyzing and forecasting of processes involved in power consumption.

Energy Analysis of Impact-Shear Interaction of Counter Flows of Ground Loose Material in Centrifugal Disintegrator

Mining Revue ◽  
2021 ◽  
Vol 27 (3) ◽  
pp. 30-39
Author(s):  
Volodymyr Nadutyi ◽  
Oleksandr Tytov ◽  
Dmytrii Kolosov ◽  
Vitalii Sukhariev ◽  
Taras Usatyi
Keyword(s):  
Power Consumption ◽  
Technological Process ◽  
Loose Material ◽  
Energy Analysis ◽  
Structural Parameters ◽  
Shear Deformations ◽  
Factors Affecting ◽  
Absolute Value ◽  
The Absolute ◽  
Distribution Of Power

Abstract The distribution of power consumption of centrifugal two-shaft disintegrator for impact and shear destruction of material as functions of its technological and structural parameters, as well as parameters of material being ground, has been substantiated. An analytical apparatus has been developed to determine the degree of influence of each factor. Factors affecting the absolute value of the consumed power of the disintegrator have also been established. The results of the work make it possible to optimize the technological process in order to reduce the yield of bream fragments of destruction, which is observed when the share of energy of shear deformations increases, in order to obtain cuboid fractions of disintegration products. They allow to create a methodology for determining the rational parameters of a centrifugal double-shaft disintegrator.

Improving energy efficiency in electric power generation, transmission, and consumption

2020 ◽  
Vol 6 ◽  
pp. 8-17
Author(s):  
Vladimir Akatjev ◽  
Mikhail Tyurin ◽  
Elena Borodina
Keyword(s):  
Energy Efficiency ◽  
Power Consumption ◽  
Electric Power ◽  
Technical Solution ◽  
Monitoring And Control ◽  
Rate System ◽  
Factors Affecting ◽  
Capacity Level ◽  
Major Factors ◽  
Efficient Power

This review incudes a detailed analysis of energy efficiency indicators applicable to the electric power sector in general. Major factors affecting energy efficiency in general and in the residential sector in particular have been found. Certain innovative monitoring and control solutions for residential electric power consumers have been considered for the purpose of creating energy efficient power consumption. Also, under the applications of a step rate system and other specific conditions, such as a limited capacity level, a technical solution providing reliability and efficiency of power consumption has been described.

Evaluating Factors Motivate Users on Green IT Readiness (Part 2)

2017 ◽  
Vol 8 (1) ◽  
pp. 23-35 ◽  
Author(s):  
Yas A. Alsultanny ◽  
Fatma M. Alnassar
Keyword(s):  
Data Analysis ◽  
Power Consumption ◽  
Information And Communications Technology ◽  
Communications Technology ◽  
Policy Governance ◽  
Green It ◽  
Factors Affecting ◽  
Consumption Saving

Due to the advancement of information and communications technology, most of the businesses and services have transformed into an e-businesses and e-services. The organizations are facing a great deal of pressure from regulators to move toward green IT. The aim of this article is to evaluate the factors affecting on green IT readiness from the perspective of IT users, a questionnaire designed for this purpose. The questionnaire divided into two parts, the first part for demographics information, and the second part contains 34 statements divided into 6 factors. There are 460 respondents to the questionnaire. The results of the data analysis showed that the factors, technology and attitude have an agreed degree of agreement, while the practice, policy, governance, and green IT readiness have a neutral degree of agreement. The governance factor has the highest effect on green IT readiness. The article recommends the ministries of electricity must be increasing the awareness for green IT as part of their awareness for power consumption saving.

scholarly journals An experimental study of the bearing capacity of wall models with openings under one and two-way loading

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Barei Abdul ◽  
Victor Ledenev ◽  
Yaroslav Savinov ◽  
Yaya Keyta
Keyword(s):  
Bearing Capacity ◽  
Functional Dependencies ◽  
Stress Concentrations ◽  
Factors Affecting ◽  
Numerical Studies ◽  
Destruction Mechanism ◽  
Wall Models ◽  
Experimental Values ◽  
Stability Of Structures ◽  
Classical Calculation

The results of an experimental and numerical studies of the stress-strain state of wall models under one and two way action are presented. The mechanisms of destruction of walls with openings are described. The functional dependencies between the destructive loads of the onset of crack formation and the influencing parameters are obtained. It is shown that the openings are stress concentrators, leading to the occurrence of micro and macro damage, the appearance and development of cracks, and in some cases to the loss of stability of structures (walls). The obtained influence functions can be included in traditional calculation methods with the aim of clarifying them. The factors affecting the process of cracking and fracture are given. Their modeling will allow to predict and prevent adverse events. Practical methods for regulating stresses, forces, and displacements that reduce the influence of various concentrators are considered. The analysis of the destruction mechanism of wall models carried out in this article allows one to study the influence of the size, position, and shape of window openings on the bearing capacity of walls. For example, the presence of stress concentrations in the region of the corners of square openings and their absence in round ones. The system of indicators of the sentry type ICh-10 made it possible to control the deformation of models from the plane of the walls, which is especially important under conditions of lateral pinching. The experimental values of the strength of the walls with openings compared with the calculated ones, which made it possible to see the degree of simplification of the classical calculation models used in design practice.

Power Consumption Prediction Modeling of Cement Manufacturing Based on the Improved Multiple Non-Linear Regression Algorithm

2014 ◽  
Vol 687-691 ◽  
pp. 5185-5189 ◽  
Author(s):  
Hui Zhao ◽  
Ning Zhang ◽  
Hong Jun Wang
Keyword(s):  
Linear Regression ◽  
Power Consumption ◽  
Prediction Models ◽  
Principal Component ◽  
Key Factors ◽  
Factors Affecting ◽  
Non Linear ◽  
Cement Manufacturing ◽  
Power Consumption Prediction ◽  
Consumption Prediction

The principal component analysis (PCA) is applied in this paper, since the existing power consumption prediction models of cement manufacturing influenced by many factors are quite complex and have low accuracy. In this way, four new key factors affecting the power consumption of cement manufacturing are obtained instead of the eleven original ones, with the complexity of the computing model simplified. Built upon this is the power consumption prediction model of cement manufacturing based on an improved multiple non-linear regression algorithm. Then the efficiency of the model, obviously improved the forecasting precision, is verified in Pingyi Zhonglian Cement Plant. In other words, a theoretical basis for cement plants power consumption forecasting management is provided in this paper.

Sign in / Sign up

Export Citation Format

Share Document