A Study on the Performance of Natural Wind in Hybrid System in an Atrium Building

2013 ◽  
Vol 448-453 ◽  
pp. 1248-1255 ◽  
Author(s):  
Xin Wang ◽  
Shan Jin ◽  
Li Fei Ye ◽  
Ping Lu
Keyword(s):  
Mathematical Model ◽  
Hybrid System ◽  
Natural Ventilation ◽  
Control Strategies ◽  
Large Space ◽  
Simplified Approach ◽  
Excessive Heat ◽  
Hybrid Ventilation ◽  
The Mathematical Model ◽  
Natural Wind

Hybrid ventilation is a two-mode system, including mechanical and natural ventilation, which can be used in large space to exhaust excessive heat while minimize energy consumption. One mathematical model is developed to calculate indoor vertical temperature distribution by the hybrid ventilation. Here, the mathematical model is proposed to illustrate the running operation of the hybrid ventilation, especially the control strategies of the natural ventilation in this paper. An experimental and theoretical investigation of natural ventilation in the hybrid system in an atrium building has been conducted. A simplified approach for calculating critical outer temperature and a mathematical model of the natural ventilation in the hybrid system are both proposed in this paper. We have restricted our attention to the natural wind within the upper zone of the large space, in which the effects of the outer air temperature, indoor heat, the natural air rate, and the inlet location of the natural wind are discussed by the mathematical model and experimental data.

scholarly journals Improving Energy Savings of a Library Building through Mixed Mode Hybrid Ventilation

Proceedings ◽  
2019 ◽  
Vol 23 (1) ◽  
pp. 3
Author(s):  
Sormin Sultana ◽  
Andreas K. Athientis ◽  
Radu G. Zmeureanu
Keyword(s):  
Mixed Mode ◽  
Natural Ventilation ◽  
Energy Savings ◽  
Control Strategies ◽  
Cooling Load ◽  
Zero Energy Building ◽  
Net Zero Energy ◽  
Net Zero Energy Building ◽  
Net Zero ◽  
Hybrid Ventilation

In Canada both residential and commercial buildings often require intensive ventilation and air-conditioning to maintain occupant’s thermal comfort and indoor air quality during the operational hours in cooling season. One way to reduce the cooling load consumption is utilizing mixed-mode cooling approach for space conditioning through natural ventilation. This paper presents the potential of control strategies for motorized window opening schedules to reduce the cooling load for a library building that was designed to be net-zero in terms of annual energy consumption (Canada’s first institutional net-zero energy building in Varennes (near Montreal), Québec, Canada). Even though the building is located in cold climate zone, the performance study shows that the building is cooling dominated i.e., it has more cooling load than heating load. To achieve net-zero energy building status, the potential of mixed-mode cooling approach (natural ventilation combined with mechanical ventilation) during the cooling season needs to be investigated. Preliminary simulation results show that the mixed-mode cooling could achieve 10 to 20% energy savings based on hybrid ventilation (HV) with fixed schedules, whereas 65% savings based on HV with variable schedules. This paper also shows 47% reduction of cooling load could be achieved by applying shading control strategies over without shading control strategies.

scholarly journals Dynamical Analysis of Corona-virus (COVID−19) Epidemic Model by Differential Transform Method

2020 ◽  
Author(s):  
A. John Christopher ◽  
N. Magesh ◽  
G. Tamil Preethi
Keyword(s):  
Mathematical Model ◽  
Preventive Measures ◽  
Control Strategies ◽  
Transformation Method ◽  
Dynamical Analysis ◽  
Transform Method ◽  
Potential Control ◽  
Corona Virus ◽  
Differential Transform ◽  
The Mathematical Model

Abstract The aim of this paper is applying the Differential Transformation Method (DTM) to analyze and find the solution for the mathematical model described by the system of nonlinear ordinary differential equations which describe the epidemiology of the most threatening virus called Corona-virus later labelled as COVID-19. The behaviour of the outcomes is presented in terms of plots. Finally, the present study may help you to examine the wild class of real world models and also aid to predict their behaviour with respect to parameters considered in the model. The purpose of this study is to estimate the effectiveness of preventive measures, predicting future outbreaks and potential control strategies using the mathematical model.

Inverse Dynamic Analysis of Spatial Manipulators with Elastic Legs

1988 ◽  
Vol 12 (2) ◽  
pp. 63-69
Author(s):  
K.H. Low ◽  
R.N. Dubey
Keyword(s):  
Mathematical Model ◽  
Hybrid System ◽  
Perturbation Technique ◽  
Flexible Manipulator ◽  
System Of Equations ◽  
Joint Motion ◽  
Inverse Dynamic ◽  
Inverse Dynamic Analysis ◽  
Deflection Theory ◽  
The Mathematical Model

This work presents a general formulation of flexible manipulator systems. The associated mathematical model results in a hybrid system of equations involving both ordinary and partial differential equations. The perturbation technique and model analysis have been used for the solution. In addition to the lineal deflection theory, an unperturbed joint-motion assumption has then been employed in order to further simplify the mathematical model. Finally, an inverse dynamic problem is solved using the proposed methodology.

scholarly journals Control of a stand-alone photovoltaic/battery bank system to supply energy to resistance load

2019 ◽  
Vol 8 (1) ◽  
pp. 93
Author(s):  
G. Giftson Samuel ◽  
M. Muthuramaligam ◽  
P. S. Manoharan ◽  
C. Christober Asir Rajan
Keyword(s):  
Mathematical Model ◽  
Power System ◽  
Hybrid System ◽  
Pv System ◽  
Hybrid Power ◽  
Supervisor Control ◽  
Battery Bank ◽  
Bank System ◽  
The Mathematical Model ◽  
Model Topology

<p><span lang="EN-US">In this paper, supervisor control for stand-alone hybrid power system to supply energy to resistance load is presented. The hybrid system is used to produce energy withoutinterruption and it consists of a photovoltaic generator (PV), and a battery bank. PV system work in parallel via DC/DC converter and the battery bank is used to store the excess of energy. The mathematical model topology, the identification of each subsystem and the control supervision of theglobal system are the contribution of this paper. Obtained results under Matlab/Simulink presented and discussed.</span></p>

Artificial Neural Network Model Analysis Based on the Rules that unless Overtaking otherwise Driving on the Right

2014 ◽  
Vol 926-930 ◽  
pp. 1696-1699
Author(s):  
Jia Huan Lu
Keyword(s):  
Neural Network ◽  
Mathematical Model ◽  
Artificial Neural Network ◽  
Control Strategies ◽  
Short Circuit ◽  
Driving Behavior ◽  
Real Problem ◽  
Bp Artificial Neural Network ◽  
Artificial Neural ◽  
The Mathematical Model

In this article, I analyzing the real problem and abstract the mathematical model to save it step by step. First I consider the mathematical model underlying one lane, in the hypothesis of even flow and single kind, I analyze the relationships between flow, velocity and density; I figure out the linear relationship of velocity and density, including both high-density and low-density conditions; the parabolic relationship flow and density follow so that I gain the best density when flow gets its maximum. Then I extend it to two-lane ( slow lane and fast lane that is equal to the overtaking lane and normal lane ) model: I expand and modify the above relationship in changing system to include the problem of road congestion, as well as the changing lane condition and the density affection from its downstream neighbor . Besides, three scenarios were discussed to control the situation of changing lanes. After this, I use a safety multi-lane highway overtaking control model based on BP artificial neural network to reduce the complexity of problem solving, and discuss the algorithm of the BP artificial neural network, and give examples and preliminary results. Short circuit in a multi-vehicle lane driving, driving behavior mainly consists of acceleration, deceleration and lane changing , the reality of traffic environment, the driver's decision-making are affected by many factors, such as driving rules , vehicle types and other basic physical attributes , characters and vehicle drivers’ plans , driving behavior control strategies and so on. I focus on the main factors to form of some the rules of changing lanes.

Mathematical Model of a Hydraulic Excavator for Fuel Consumption Predictions

2015 ◽  
Author(s):  
Paolo Casoli ◽  
Luca Riccò ◽  
Federico Campanini ◽  
Antonio Lettini ◽  
Cesare Dolcin
Keyword(s):  
Mathematical Model ◽  
Fuel Consumption ◽  
Control Strategies ◽  
System Control ◽  
Hydraulic Excavator ◽  
Consumption Reduction ◽  
Definition Of ◽  
System Configurations ◽  
The Mathematical Model ◽  
Consumption Prediction

This paper presents the multibody mathematical model of a hydraulic excavator, developed in the AMESim® environment, which is able to predict the machinery fuel consumption during the working cycles. The mathematical modelling approach is presented as well as the subsystems models. The experimental activity on the excavator is presented in detail. The excavator fuel consumption was measured according to the JCMAS standard. The working cycles were executed an appropriate number of times in order to minimize the stochastic influence of the operator on the fuel consumption. The results show the mathematical model capability in the machine fuel consumption prediction. The excavator model could be useful either to perform accurate analyses on the energy dissipation in the system, giving the possibility to introduce new system configurations and compare their performance with the standard one, or for the definition of novel system control strategies in order to achieve the fuel consumption reduction target.

scholarly journals Fuzzy fractional mathematical model of COVID-19 epidemic

2022 ◽  
pp. 1-23
Author(s):  
V. Padmapriya ◽  
M. Kaliyappan
Keyword(s):  
Mathematical Model ◽  
Fractional Derivative ◽  
Caputo Fractional Derivative ◽  
Preventive Measures ◽  
Control Strategies ◽  
Mathematical Epidemiology ◽  
Potential Control ◽  
Proposed Model ◽  
The Usa ◽  
The Mathematical Model

In this paper, we develop a mathematical model with a Caputo fractional derivative under fuzzy sense for the prediction of COVID-19. We present numerical results of the mathematical model for COVID-19 of most three infected countries such as the USA, India and Italy. Using the proposed model, we estimate predicting future outbreaks, the effectiveness of preventive measures and potential control strategies of the infection. We provide a comparative study of the proposed model with Ahmadian’s fuzzy fractional mathematical model. The results demonstrate that our proposed fuzzy fractional model gives a nearer forecast to the actual data. The present study can confirm the efficiency and applicability of the fractional derivative under uncertainty conditions to mathematical epidemiology.

scholarly journals Control and stability of the lateral dynamics of the vehicle to avoid road accidents

2021 ◽  
Vol 6 (2) ◽  
pp. 159-168
Author(s):  
Daniel Sava ◽  
Ion Copae
Keyword(s):  
Mathematical Model ◽  
Phase Portrait ◽  
Control Strategies ◽  
Road Accidents ◽  
Technical Data ◽  
Lateral Dynamics ◽  
The Mathematical Model

The paper presents elements related to the control and stability of the lateral dynamics of the vehicle. The mathematical model of the ESC system is given. The study of stability is presented, including by using the phase portrait. The control strategies and algorithms used in ESC are presented. The results obtained using the technical data of the Volkswagen Touareg and Chevrolet Camaro cars are presented.

A Fuzzy Logic Based Automatic Control of Rotary Crane (A Simulation Approach)

2011 ◽  
Vol 403-408 ◽  
pp. 4659-4666
Author(s):  
Rajbir Sharma ◽  
Dinesh Singh Rana ◽  
A.M Gaur
Keyword(s):  
Mathematical Model ◽  
Fuzzy Logic ◽  
Automatic Control ◽  
Control Strategies ◽  
Work Place ◽  
Simulation Approach ◽  
Learning Capability ◽  
Rotary Crane ◽  
The Stability ◽  
The Mathematical Model

In this paper, our aim was to the control the Rotary crane by using Fuzzy logic. For this one must obtain the mathematical model of the crane. After obtaining the model, the dynamics of the crane is identified. The Rotary crane is to be controlled in such a manner to increase the system speed without compromising the stability and safety of the whole system. Also the load is transferred to desired location accurately. The main advantage of Fuzzy based control is that no parameter identification is required as compare to other control strategies available. There are some applications where the conventional control strategies cannot provide the desired response up to certain level. But the fuzzy logic based control is capable of enhance the response, since it has learning capability which helps to create the accurate rules for each separate conditions. Also this fuzzy based control will reduce oscillations of payload to prevent hazards for people and equipments in the work place, industries.

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