2025
Electricity as an Energy Carrier
Name: Electricity as an Energy Carrier
Code: EME10369M
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Electrotechnical Engineering
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Sustainable Development Goals
Learning Goals
- The student should acquire / consolidate their knowledge in relation to Electrical Energy Systems, particularly in the areas of Production, transformation and Transportation.
It should also acquire knowledge in order to be able to use load charts and calculate power transits.
It is intended that the student identify the various problems associated with the quality of electricity.
- The student should acquire / consolidate knowledge in the area of intelligent systems for control and supervision. In this context the student will study tools for acquisition and processing of electrical signals (virtual instrumentation - LabView) as well as tools for Supervisory Control (SCADA - Supervisory Control and Data Acquisition).
These tools will allow the student for future interaction with advanced control systems (eg solar concentration), SCADA supervision of industrial processes (eg biomass) and intelligent control of power flows (eg smart grids - energy efficiency).
It should also acquire knowledge in order to be able to use load charts and calculate power transits.
It is intended that the student identify the various problems associated with the quality of electricity.
- The student should acquire / consolidate knowledge in the area of intelligent systems for control and supervision. In this context the student will study tools for acquisition and processing of electrical signals (virtual instrumentation - LabView) as well as tools for Supervisory Control (SCADA - Supervisory Control and Data Acquisition).
These tools will allow the student for future interaction with advanced control systems (eg solar concentration), SCADA supervision of industrial processes (eg biomass) and intelligent control of power flows (eg smart grids - energy efficiency).
Contents
1. Power Networks
- Introduction to Electrical Energy Systems. The electricity sector. Power generation systems. Power transformers. Components. Equivalent circuits.
- Transmission lines. Components and operational characteristics.
- Load Charts. Power flow calculation.
- Quality of energy. Service quality classes. Power quality - normalization. Main power quality disturbances. Measuring the quality of energy.
2. Intelligent Systems for Control and Supervision
- Industrial Sensors. Acquisition and Signal Processing: NI ? LabView and Siemens-Simatic technology.
- System Control - Feedforward and feedback. Design of automatic systems with GRAFCET.
- Design and implementation of SCADA systems with Siemens WinCC (Supervisory Control and Data Acquisition).
- Introduction to Electrical Energy Systems. The electricity sector. Power generation systems. Power transformers. Components. Equivalent circuits.
- Transmission lines. Components and operational characteristics.
- Load Charts. Power flow calculation.
- Quality of energy. Service quality classes. Power quality - normalization. Main power quality disturbances. Measuring the quality of energy.
2. Intelligent Systems for Control and Supervision
- Industrial Sensors. Acquisition and Signal Processing: NI ? LabView and Siemens-Simatic technology.
- System Control - Feedforward and feedback. Design of automatic systems with GRAFCET.
- Design and implementation of SCADA systems with Siemens WinCC (Supervisory Control and Data Acquisition).
Teaching Methods
- Lectures
- Laboratory classes
The teaching method is based on theoretical classes and practical classes. An active learning system is focused to stimulate the student to make his own research on the matters presented in the classes.
During the classes four computational/ experimental works (at least) are given to the student, to work in group, in order to gain experience with industrial technology.
Assessment methods and criteria:
The grades are within the interval [0,20].
The assessment method consists of two components (TP and Ex):
- [TP] Laboratory work - (30%)
- [Ex] Examination or Final Project ? (70%)
[NF] Final Grade: NF = TP×0.30 + Ex ×0.70
If NF> 9.5 ^ TP> 9.5 ^ Ex> 9.5: Approved
- Laboratory classes
The teaching method is based on theoretical classes and practical classes. An active learning system is focused to stimulate the student to make his own research on the matters presented in the classes.
During the classes four computational/ experimental works (at least) are given to the student, to work in group, in order to gain experience with industrial technology.
Assessment methods and criteria:
The grades are within the interval [0,20].
The assessment method consists of two components (TP and Ex):
- [TP] Laboratory work - (30%)
- [Ex] Examination or Final Project ? (70%)
[NF] Final Grade: NF = TP×0.30 + Ex ×0.70
If NF> 9.5 ^ TP> 9.5 ^ Ex> 9.5: Approved
Teaching Staff (2024/2025 )
- Frederico José Lapa Grilo [responsible]
Certificações
