Study Guide

Objective

This course aims to teach the basics of programming with Python, Control Systems and how to combine them to be used in the Energy Management area. The course covers the fundamentals of how to build programs (from basic to intermediate instructions) in Python, specifically for data transmission and collection to build a scale-down energy management system.

After finishing the course, the student will be able to:

• Code in Python (a high level programming language) and use its built-in functions as well as external Python modules.
• Apply all the acquired knowledge to establish communication between controllers (PC or Raspberry Pi) and transmitters (sensors, energy meters, power sources), by using different data transmission resources.
• Collect data from transmitters, and based on their analysis, control simple electronic devices.
• Use databases for storing collected data.
• Visualize data with Grafana dashboard.

Content

Content
1. Energy Management Systems
1.1 Overview
1.2 Home Energy Management Systems
1.3 Why programming in this course
2. Python
2.1 Computers architecture
2.2 How to install Python and code editors
2.3 Interpreter
2.4 Python reserved words and mathematical operations
2.5 Python variables
2.6 Python Built-in functions
2.7 Strings, Lists
2.8 Control flow
2.8.1 if, for
2.8.2 Boolean expressions
2.9 Data structures
2.9.1 Lists, Dictionaries
2.10 Objects
2.10.1 Classes
2.10.2 Methods vs functions
2.11 Importing external modules
2.11.1 Numpy and Pandas overview
3. Control Systems
3.1 Data transmission
3.2 Serial communication
3.3 Communication protocols
3.3.1 Modbus protocol
RTU, ASCII, TCP/IP
4. Project
4.1 Project introduction
4.2 Raspberry Pi
4.2.1 Overview
4.2.2 Configuration
4.2.3 Basic Linux commands
4.3 Data bases
4.3.1 MariaDB overview
4.3.2 Configuration
4.3.3 Storing data
4.4 Project development

Evaluation scale

H-5