Energy-saving Control System Research Articles

Quantitative Evaluation on Safety of Telescopic Boom Energy-saving Control System of Aerial Work Vehicle

Quantitative Evaluation on Safety of Telescopic Boom Energy-saving Control System of Aerial Work Vehicle

Classroom Energy-saving Control System Design

With the continuous development of science and technology, the degree of automation of various products in life is increasing. However, the impact on energy consumption and environment is getting bigger and bigger, and energy saving and emission reduction is gradually becoming a hot topic in the society. The huge loss of electrical energy in colleges and universities makes the development of energy-saving control technology particularly important. In this paper, we design an energy-saving control system for college classrooms based on STM32 main controller, which mainly collects the light intensity and personnel distribution information of classrooms through photoresistor sensors and infrared pyroelectric sensors, and combines software programming to realize effective and group control of classroom lights, so as to achieve the purpose of energy saving. On this basis, a simple upper computer monitoring interface is built to display the collected information, which facilitates real-time monitoring and management of the classroom. The system is analyzed and introduced in detail in three main aspects in the paper. Firstly, the selection of the main controller and its main hardware circuit modules are introduced; secondly, the software process design is centered around the system; finally, using simulation, analysis and online debugging, the light intensity and personnel distribution information collected can be used to control the lamps and lanterns at the corresponding locations of the personnel to turn on. In summary, this paper designs a classroom energy-saving control system to meet the current situation of large energy consumption in college classrooms, which can realize the effective lighting of the corresponding positions according to the changes of natural light environment and different positions of the personnel in the classroom, and verifies the feasibility of this scheme. It provides an idea to effectively reduce the waste of power resources and achieve the purpose of energy saving and emission reduction in colleges and universities.

SISTEM KONTROL PERANGKAT LISTRIK HEMAT ENERGI PADA BANGUNAN BERBASIS BERBASIS INTERNET OF THINGS (IoT)

Accidents caused by improper use of electricity have been widely aired on TV media and On Line media. To prevent this, it is hoped that people who install electrical installations must be certified and are expected to know about how IoT-based energy-efficient control devices work. This research aims to: 1) To create an Energy-Saving Electrical Device Control System Software in IoT-Based Buildings that functions to control the use of electrical energy in a building with the help of a Smartphone, 2) produce an Energy-Saving Control System Device using the software that has been created, 3) To create an Interface and Application of the Internet Of Things (IoT) Based Energy Saving Control System device with the help of a Smartphone that functions to control electrical devices in buildings, both from a short distance, and remotely. Data collection in this study uses interview techniques with control experts, literature techniques, and direct measurement techniques of the control devices used. The data analysis method used in this research is the logical method, based on the Internet of Things (IoT) based control system. The results showed that: 1) The Internet Of Things (IoT)-based Energy Saving Control System Software created has functioned properly, this is evidenced by the functioning of all control systems, both in the safety system (MCB), as well as for various controlled loads, 2). The Internet Of Things-based Energy Saving Control System device made, has functioned properly, this is evidenced in the research trial using a Smartphone, 3). Interface and Control System Applications based on the Internet of Things have functioned properly, because they have been able to control electrical equipment devices contained in a building according to design.

Energy-Saving Control for Asynchronous Motor Motion System Based on Direct Torque Regulator

Energy saving issues occupy a leading position in all control systems. This article provides a detailed analysis of control systems and is conducted by considering the complexity of implementation and response to the control action. The implementation of energy-saving control systems is directly related to the selected control system and the proposed energy-efficient algorithm. A system with direct torque control is proposed, which provides energy savings in the mechanisms for moving goods. A detailed analysis of the implementation of systems with direct torque control is carried out. New methods to save energy in the control system by minimizing the stator current have been proposed.

Development of an atmosphere temperature measurement system based on computational fluid dynamics and neural network algorithms

To study the impact of atmospheric temperature on architectural design, energy-saving control systems, and smart home systems, the accuracy of atmospheric temperature measurement systems must be increased by 0.1 °C or higher. However, given that existing temperature measurement systems have difficulty eliminating radiation interference, they may have a radiation error of approximately 1 °C. Therefore, we designed a novel temperature measurement system comprising three sensor probes and a radiation shield. The thin film of the platinum resistance probe was fixed at the center of a spherical copper shell. These plates can prevent all types of radiation from reaching the probe surface. The lower plate could effectively guide the airflow to the sensor probes. The radiation error can be decreased by reducing the radiation interference and increasing the air velocity. The system radiation errors under different environmental conditions were quantified using a computational fluid dynamics (CFD) approach. A neural network algorithm was used to fit the CFD simulation data to form a radiation error correction method with high accuracy and universality. Experiments conducted under different environments revealed that the average radiation error of the system was +0.09 °C. The root mean square error and mean absolute error between the experimental radiation errors and the radiation errors provided by the correction method were +0.037 °C and +0.031 °C, respectively. The correlation coefficient between the temperature of the new system and the reference temperature was 0.999. Our findings suggest that this new system may potentially reduce the radiation error to within 0.1 °C.

Eco-Driving Cruise Control for 4WIMD-EVs Based on Receding Horizon Reinforcement Learning

Aiming to improve the distance per charge of four in-wheel independent motor-drive electric vehicles in intelligent transportation systems, a hierarchical energy management strategy that weighs their computational efficiency and optimization performance is proposed. According to the information of an intelligent transportation system, a method combining reinforcement learning with receding horizon optimization is proposed at the upper level, which solves the cruising velocity for eco-driving in a long predictive horizon based on the online construction of a velocity planning problem. At the lower level, a multi-objective optimal torque allocation method that considers energy saving and safety is proposed, where an analytical solution based on the state feedback control was obtained with the vehicle following the optimal speed of the upper level and tracking the centerline of the target path. The energy management strategy proposed in this study effectively reduces the complexity of the intelligent energy-saving control system of the vehicle and achieves a fast solution to the whole vehicle energy optimization problem, integrating macro-traffic information while considering both power and safety. Finally, an intelligent, connected hardware-in-the-loop (HIL) simulation platform is built to verify the method formulated in this study. The simulation results demonstrate that the proposed method reduces energy consumption by 12.98% compared with the conventional constant-speed cruising strategy. In addition, the computational time is significantly reduced.

Energy-Saving Control Method of Building Central Air Conditioning Based on Genetic Algorithm

In order to solve the problem of huge energy consumption of building central air conditioning, the water system of building central air conditioning was taken as the research object and the genetic algorithm of energy-saving operation and control of building central air conditioning based on MATLAB was designed, so as to build the energy-saving control system model of central air conditioning. On the one hand, the feasibility of the optimized algorithm to solve the energy-saving problem of central air conditioning was proved through the optimization of genetic algorithm. On the other hand, the energy-saving effect was demonstrated through the operation parameters and the variation of air-conditioning energy consumption before and after the experiment. The feasibility and rationality of genetic algorithm to improve the energy-saving effect of central air conditioning was verified by the comparison of the experiment. The results showed that in the design load range of 30%–70%, the average energy-saving rate of central air-conditioning compressor was 16.8%. The maximum energy-saving efficiency was 37.4%, and the minimum energy-saving efficiency was 15.5%. The average energy-saving rate of water system was 26.8%. Therefore, the genetic algorithm had fast convergence speed and high solving accuracy, which was beneficial to improve the energy-saving ability of central air-conditioning water system.

About Secondary Energy Resources, Heat Exchange Ventilation

The article deals with life support systems, the main purpose of such systems is to make the building suitable for human life, or to create comfortable conditions for work. To create a favorable environment, optimal temperature and humidity in all residential and industrial premises, ventilation and air conditioning systems are used. The main goal of the work was the development of a high-tech energy-saving ventilation and air conditioning system with a modern automated control system. At the same time, the main directions of modernization of energy-saving control systems were developed, the hardware support of the energy-saving ventilation system was developed, the choice of the type of recuperator as an energy conservation subsystem was justified, the main elements of the system were calculated, the components of the ventilation and air conditioning system were modeled, a model of the supply-exhaust ventilation system was developed, and experimental tests were carried out research.

Research on Energy-Saving Optimization of Rural Houses in Specific Regions Based on Internet of Things

With the expansion of social energy use, the optimization of residential energy conservation has become urgent and important. The research on rural housing in areas with hot summers and cold winters started late and is relatively backward in terms of housing energy saving, which greatly hinders the sustainable development of rural areas. The application of the Internet of Things technology helps to provide a stable technical guarantee for energy-saving optimization. Therefore, this paper takes the energy-saving optimization design of rural houses in hot summer and cold winter areas based on the Internet of Things technology as the research theme. This article first takes H rural area as the research object and analyzes the climatic conditions of the place, that is, the typical characteristics of hot summer and cold winter. Then, the intelligent temperature acquisition system is designed, and the working process and main hardware modules of the system are introduced. This text combines GPRS and Internet of Things technology, designs the temperature control system, and carries on the test to the system operation effect. The test results show that during the heating period in January, before and after the temperature control system controls the room temperature, the maximum relative error between the set temperature value and the actual temperature value is 0.49 and 0.27, respectively. It can be seen that the intelligent temperature energy-saving control system can collect the indoor temperature in real time and can well control the heating equipment.

Increasing the energy efficiency of auxiliary machines of AC electric locomotive

Currently, an asynchronous variable frequency drive based on semiconductor converters is widely used due to the relative simplicity and reliability of the design. The use of digital microprocessor systems ensures high accuracy and flexibility of drive control. On the domestic rolling stock, the widespread introduction of asynchronous motors began to replace DC traction motors with sequential excitation. In particular, scalar-controlled asynchronous motors are used on serially produced 2TE25A diesel locomotives and EP20 electric locomotives. The auxiliary asynchronous machines of these locomotives are controlled by the vector control method. The use of a new type of engine on the rolling stock makes it possible to achieve a significant increase in the quality of consumed energy and reduce the consumption of electricity for traction of trains. Ensuring the energy efficiency of the drive in a wide range of loads requires further research. In this regard, the issue of saving energy resources becomes very urgent. The article proposes a vector control scheme for asynchronous motors of auxiliary machines of an electric locomotive, which implements an extreme method of control according to the criterion of minimizing the consumed current. The analysis of the engine operation is carried out based on its mathematical model in a rotating coordinate system d — q, which is implemented in the MatLab/Simulink software package. As a result of simulation modeling, it was found that the extreme control system with a variable step allows for each fixed value of the electromagnetic moment of the motor in the minimum time to find the optimal (extreme) value of the magnetic flux of the motor rotor, which corresponds to the minimum value of the stator current. The developed model of the motor with vector control is supplemented with an extreme regulator device, which allows achieving the best energy performance of the motor and reducing electrical losses in all operating modes with a minimum search time. The presented research results can be used in the development of energy-saving control systems for an asynchronous motor.

Features of planning and implementation of energy-saving measures at compressor stations of main gas pipelines

Currently, the National gas supply operator in Kazakhstan pays special attention to the rational use of natural gas for its own and technological needs, while maintaining the optimal management of the gas transportation system, taking into account the specific technical situation of the equipment. Energy efficient management of gas pipelines is one of the priority directions for optimizing gas costs. The use of innovative methods of energy-saving technologies during the operation of the gas transmission system, an increase in the efficiency of gas-pumping units, as well as the implementation of automated energy saving control systems, will significantly increase the efficiency of gas transportation.

Microcomputer Energy Saving Control System for Electric Vehicles Under Artificial Intelligence

Faced with the problem of dwindling oil resources and increasingly strict automobile exhaust emission standards, the advantages of pure electric vehicles in energy saving and emission reduction have become more and more prominent compared with traditional fuel vehicles. However, in view of the current development scale of the pure electric vehicle market, there are still many deficiencies in the aspects of power density, cycle service life and replacement cost. This paper mainly studies the microcomputer energy saving control system of electric vehicle under the background of artificial intelligence. In this paper, the STM32F103 series chip is used as the main control chip of the battery energy management system. Then according to the requirements of the subject of each module circuit design, forming a complete battery energy management system circuit design. In this paper, the designed electric vehicle energy management system has been tested. The test results show that the electric vehicle battery energy management system has perfect function, sTable operation, and can realize the energy management of electric vehicle battery pack. It can accurately predict the state of charge of electric vehicle lithium battery, and effectively improve the battery performance of electric vehicle lithium battery, and achieve the effect of energy saving.

Design of an Energy Efficient Control System for Microgrid using Multi-Agent System

This paper primary purpose is to use a multi-agent system (MAS) to develop a distributed microgrid automation model to realize complex organize or distributed microgrid energy management. This article introduces the energy-saving smart grid control system for network and island state control. A new concept is proposed to use distributed production (D.G.) to improve the power quality (P.Q.) in low-voltage networks. Compared to the traditional method, the conventional method requires using the committed property to recompense for power quality disturbances. The proposed idea is to form a microgrid (M.G.) that can be isolated from the public network operate on islands when disruptions occur. This article discusses the conditions for creating islands and proposes a control strategy for a small active network of microturbines, renewable energy, loads, or storage systems. This strategy assumes that the energy storage device is used as a network generating machine for the island operation. The central controller is used to monitor the network operation in network connection and island mode. The coordination between the agents ensures the Microgrid's current quality, power, or frequency by influential set points to improve the Microgrid's full operation. In this way, the Microgrid can efficiently integrate different D.G. resources (distributed power generation), particularly renewable power. It can provide emergency power that can be converted between island and connection states. Control and protection are the challenges. the proposed control architecture and strategies will be performed on the MATLAB Simulink platform.

Technological adaptation zone of passive evaporative cooling of China, based on a clustering analysis

How to excavate meaningful laws from an abundance of meteorological data and establish an applicable zoning model based on passive evaporative cooling technology to help build an energy-saving control system is the primary research content of this paper. The research status of evaporative cooling technology and applied climate zoning is combed. Based on the recognized technical adaptation area of current scholars, the research scope is determined. The typical adaptive areas of evaporative cooling technology are investigated in Urumqi, Turpan and Xi'an. The purpose of this paper is to find out the difference between the climate and the building thermal environment of the three regions. Based on the analysis of the characteristics and aging years of different databases, the Chinese meteorological surface climate data set is selected as the regional database. According to the purpose of partition and data characteristics, this paper mainly uses the method of data mining to analyze, and the factor analysis method is used to determine the main influence variables of classification. The optimal clustering number is determined by the linear analysis of clustering coefficient and clustering number. Finally, after comparison, Pearson coefficient is selected as the standard to measure the similarity between samples, and the method of systematic clustering is used for partition. Using the method of systematic cluster analysis to determine the specific partition, the specific zoning is determined by using the System Clustering Analysis Method, and the regression model of application degree and zoning index is established. In this study, the GIS interpolation method is used to predict the region of non-sample points according to the longitude and latitude of each meteorological station. In order to form a complete evaporation cooling technology to adapt to the zoning map. The results are consistent with the existing research results, confirming the reliability of the clustering analysis of this data mining technology in the determination of evaporation cooling technology in construction climate zoning research.

Design of air conditioning energy saving control system based on Niagara Internet of things technology and fuzzy algorithm

With the development of modern science and technology, Internet of things technology is entering people’s lives. People put forward higher requirements for the comfort and convenience of life. Air conditioning can bring people cool in hot summer, but it also brings huge energy consumption. In order to meet people’s requirements for air conditioning control comfort, and to achieve the purpose of energy saving and consumption reduction, this study is based on the Niagara Internet of things technology framework, through the human body infrared sensor and calendar control schedule, temperature sensor and air conditioning controller to control the start and stop of air conditioning. At the same time, the temperature fuzzy control algorithm is used to control the cooling temperature of the air conditioner according to the room temperature, so as to realize the adaptive adjustment of the air conditioning temperature. Finally, through the presentation XML (PX) view designed in Niagara software, the remote control of air conditioning can be realized. Through the debugging of the air conditioner, the adaptive control of the air conditioner can be realized, the comfort of the control can be improved, and the energy consumption can be reduced.

Android-based energy saving control system integrated with islamic value on lamp switching power

Lighting is one of the major consumers of electricity and it is often found to be inefficient in its use. Therefore, this study aimed to provide solutions to these problems through energy-saving behavior that is integrated with Islamic values on lamp switching power. This study use system design build methods. This design results in the form of hardware and software assembly. The results of the performance test of the integration of hardware and software devices provides informations as follow: first, control system of application has not been able to operate on all mobile platforms. Second, the connection range of the control system is able to operate according to its standard frequency range. Third, the connection access of control system is able to pass through the barrier which has a small inhibitory. Fourth, the success of the control system in executing input is high.

Energy saving control system development for external lighting

<p>Currently, energy saving requires the development of simple and efficient street lighting control systems. In order to create such a control system, it is necessary to develop an original principle of its operation. They considered the advantages of electronic starting devices in street lighting control systems. They performed the analysis of the existing state of street lighting means, their shortcomings and solutions have been determined, and they developed the method of lighting device automatic control. They performed the assessment of the economic effect from loss reduction associated with reactive power and due to power reduction during deep night. They presented the example of economic effect achievement from the use of an electronic starting device with automatic power reduction.</p>

Analysis on the monitoring system of energy conservation and comfort in office buildings based on internet of things

Abstract In order to reduce the cost of central air conditioning, we need to reduce its energy consumption. This paper briefly introduced Internet of Things and the energy-saving and comfort monitoring system of central air conditioning based on the Internet of Things. The system took comfort degree as constraint and energy efficiency as objective to control energy saving of central air conditioning. Company X in Guanghan, Sichuan, China, was taken as an example for analysis. The system was compared with the energy-saving control system which took temperature and power as constraints. Compared with before the energy-saving control, the proportion of air conditioning downtime in the working hours of employees increased after the implementation of the two kinds of energy-saving control systems, and the proportion of downtime under the energy-saving control system designed in this study was larger; in addition, after the control of the two kinds of energy-saving systems, the energy efficiency of the air conditioning significantly improved, and the air conditioning under the control of the energy-saving system proposed in this study had more improvement in energy efficiency and higher energy-saving efficiency. The energy-saving control method proposed in this study can effectively reduce the power consumption of the central air conditioning in the office.

OPTIMIZATION TASKS FOR CONTROLLING AN ERGATIC ELECTRIC POWER SYSTEMS

This article discusses the optimization tasks of managing a complex control system of the electric power system. The problem of synthesizing the structure of the control system in the design of electrical systems using the optimization - simulation approach is considered. It has been shown that the efficiency of an energy-saving control system is its adaptability to the implementation of the target functional under disturbances. Moreover, the reliability of the functioning of the energy system is set by the system of restrictions of the objective function of the stochastic programming task. A mathematical model of a controlled ergatic electric power process based on the Bellman equation is proposed. Also considered is a mathematical model of the steady state of an electrical system.

Software and technical implementation of intelligent energy-saving control systems based on industrial controllers

Automation and control systems of technological objects are widely used in almost all industries currently. They allow continuous monitoring of the main operating parameters of the object, as well as provide a synthesis of control actions to achieve the best performance indicators of the technological installation, both in terms of performance and energy saving. Therefore, the problem of developing systems for optimal energy-saving control is very significant and relevant. The article deals with the issues of software and hardware implementation of energy-saving systems for managing complex technological objects. The generalized structure of the energy-saving control system software, obtained by decomposing the system into separate functional subsystems and program modules, is presented. The proposed software structure is largely universal and invariant to various control objects. The main components of the technical support of the energy saving control system are considered. A practical example of software and hardware implementation of the system of energy-saving control of dynamic modes of a group of heat engineering devices (multi-section roller-belt drying units) based on industrial controllers is shown.