Automatic Control in Energy Sector

Description: Knowledge in this field will allow students to consciously and more effectively use automatic control in their practical activities. The acquired knowledge should expand and stimulate the creative abilities of students, encourage them to further study the subjects of the specialty. Based on the knowledge of this discipline, students will acquire the skills of designing automated control systems.

Amount of credits: 5

Пререквизиты:

• Heat supply systems

Course Workload:

Component: Component by selection

Cycle: Profiling disciplines

Goal

• formation of students' knowledge of the basics of building and operating automated control systems for the energy management of industrial enterprises

Objective

• mastering the principles of implementing centralized heat supply management at industrial enterprises, the basic concepts of automated control systems and their varieties, considering the issues of measuring, coding, transmitting and processing information with modern technical means in heat supply management systems, studying the tasks and principles of building operational and dispatch control systems, automatic devices used in industrial power supply systems.

Learning outcome: knowledge and understanding

• 1. Conduct measurements and observations, as well as write descriptions of ongoing research, prepare data for compiling reviews, reports and scientific publications. 2. Technological objects of management of industrial heat power engineering Own methods of testing, adjustment and operation of technological equipment in accordance with the profile of work.

Learning outcome: applying knowledge and understanding

• Observe environmental safety in production, participate in the development and implementation of environmental protection measures and measures for energy and resource saving in production

Learning outcome: formation of judgments

• Be able to carry out calculations according to standard methods and design individual parts and assemblies using standard design automation tools in accordance with the terms of reference;

Learning outcome: communicative abilities

• Have the ability to organize workplaces, their technical equipment, the placement of technological equipment in accordance with the production technology, safety standards and industrial sanitation, fire safety and labor protection

Learning outcome: learning skills or learning abilities

• Be able to draw up documentation on the quality management of technological processes at production sites and monitor compliance with environmental safety in production, develop and implement measures for energy and resource saving in production.

Teaching methods

In the conditions of credit technology of education, classes should be conducted mainly in active and creative forms. Among the effective pedagogical methods and technologies that contribute to the involvement of students in the search and management of knowledge, the acquisition of experience in independent problem solving, we should highlight: - technology of problem-based and project-oriented learning; - technologies of educational and research activities; - communication technologies (discussion, press conference, brainstorming, educational debates and other active forms and methods); - case method (situation analysis); - gaming technologies, in which students participate in business, role-playing, simulation games; - information and communication (including distance learning) technologies.

Assessment of the student's knowledge

Teacher oversees various tasks related to ongoing assessment and determines students' current performance twice during each academic period. Ratings 1 and 2 are formulated based on the outcomes of this ongoing assessment. The student's learning achievements are assessed using a 100-point scale, and the final grades P1 and P2 are calculated as the average of their ongoing performance evaluations. The teacher evaluates the student's work throughout the academic period in alignment with the assignment submission schedule for the discipline. The assessment system may incorporate a mix of written and oral, group and individual formats.

The evaluating policy of learning outcomes by work type

Evaluation form

The student's final grade in the course is calculated on a 100 point grading scale, it includes:

• 40% of the examination result;
• 60% of current control result.

The final grade is calculated by the formula:

 

Where Midterm 1, Midterm 2are digital equivalents of the grades of Midterm 1 and 2;

E is a digital equivalent of the exam grade.

Final alphabetical grade and its equivalent in points:

The letter grading system for students' academic achievements, corresponding to the numerical equivalent on a four-point scale:

Topics of lectures

• Introduction
• Classification of ACS, classes of ACS structures
• Organizational and functional structure of a multi-level automated control system
• Automated control systems in the energy sector
• Structure and functional composition of the ASUE
• The concept of a functional group and functional group management
• Technological objects of industrial power management
• Analytical and experimental methods for determining the static and dynamic characteristics of control objects
• Technical means of automation
• Basic requirements for the technical characteristics of automation equipment

Key reading

• 1. V. Trofimov, S. Kulakov. Intelligent automated control systems for technological objects. - M: Infra-Engineering, 2016. 2. Yu. Fedorov. Process Control Engineer's Handbook: Design and Development. - M: Infra-Engineering, 2016. 3. R.Kisarimov. Practical automation. - M: RadioSoft, 2015 4. S.I. Malafeev., A. Malafeeva Fundamentals of automation and automatic control systems. – Academy, 2012 5. Automation of dispatch control in the electric power industry / Ed. Yu.N. Rudenko and V.A. Semenov. - M.: MPEI Publishing House, 2013. 6. Amirouche, Farid. Principles of Computer-Aided Design and Manufacturing: textbook / F. Amirouche. - 2nd ed. - New Jersey: Pearson Prentice Hall, 2014. 7. Chang Tien-Chien. Computer-Aided Manufacturing: towards the study of the discipline / Chang Tien-Chien, Wysk Richard A., Wang Hsu-Pin. - New Delhi : Pearson, 2016.