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Generation and Storage of Renewable Energy Systems

Code: MEC121002     Sigla: SCAER

Áreas Científicas
Classificação Área Científica
OFICIAL Electric Power Systems

Ocorrência: 2022/2023 - 1S

Ativa? Yes
Página Web: https://moodle.ips.pt/2223/course/view.php?id=1604
Unidade Responsável: Departamento de Engenharia Eletrotécnica
Curso/CE Responsável:

Ciclos de Estudo/Cursos

Sigla Nº de Estudantes Plano de Estudos Anos Curriculares Créditos UCN Créditos ECTS Horas de Contacto Horas Totais
MEEC 7 Plano de Estudos_2020 1 - 7,5 70 202,5

Docência - Responsabilidades

Docente Responsabilidade
Fernando Manuel Fontinha Camilo

Docência - Horas

Theorethical and Practical : 2,67
Practical and Laboratory: 1,33
Orientação Tutorial: 0,67
Type Docente Turmas Horas
Theorethical and Practical Totais 1 2,67
Fernando Manuel Fontinha Camilo 2,67
Practical and Laboratory Totais 1 1,33
Fernando Manuel Fontinha Camilo 1,33
Orientação Tutorial Totais 1 0,67
Fernando Manuel Fontinha Camilo 0,67

Língua de trabalho

Portuguese

Objetivos

The purpose of this course is to allow the student to have the ability to analyze a renewable energy generation and storage system, through the use of modeling and synthesis tools, in order to be able to make informed decisions about its normal operation and their behavior in the face of internal and external disturbances.

Resultados de aprendizagem e competências

By attending this course, and analyzing an energy generation and storage system from renewable sources, students will acquire:
- The ability to analyse and develop a project for an energy conversion system based on renewable sources, both for isolated/islanded and grid-connected systems;
- The ability to model and synthesize the various components of a renewable system;
- The aptitude to develop critical attitudes and decision-making related to the effects of internal and external disturbances on the operation of a renewable energy conversion system.

Modo de trabalho

Presencial

Pré-requisitos (conhecimentos prévios) e co-requisitos (conhecimentos simultâneos)

Renewable energy sources, control, electrical machines, power eletronics, simulation tools

Programa

1. Introduction to renewable energy sources: solar photovoltaic (wind power; hydro and mini-hydro)
2. Modeling of renewable sources of electricity production
3. Regulation and control of electronic power converters and eletrical machines
4. Modeling of electronic power converters: DC/DC, DC/AC and AC/DC
5. Modeling of electrical generators, namely asynchronous and synchronous generators
6. Energy storage systems for renewable energies (their importance; features; study of various solutions; comparison between different technologies)
6. Integration of the different components in order to obtain a stable system, immune to internal and external disturbances.

Bibliografia Obrigatória

Rui Castro; Uma introdução às Energias Renováveis: eólica, fotovoltaica e mini-hídrica, IST Press, 2011. ISBN: 978-989-8481-01-6
Rui Castro; Electricity Production from Renewables, Springer, 2022. ISBN: 10.1007/978-3-030-82416-7_1
Fernando M. Camilo; Acetatos das aulas
João Palma; Accionamentos electromecânicos de velocidade variável, Fundação Calouste Gulbenkian, 1999. ISBN: 9789723108392

Métodos de ensino e atividades de aprendizagem

Theoretical classes: Interactive display and demonstration/discussion methods;
Laboratory classes: Modeling and simulation methods applied to the project based on the knowledge acquired in theoretical classes.

Software

MatLab - Simulink

Tipo de avaliação

Distributed evaluation without final exam

Componentes de Avaliação

Designation Peso (%)
Trabalho escrito 25,00
Trabalho laboratorial 50,00
Prova oral 25,00
Total: 100,00

Componentes de Ocupação

Designation Tempo (Horas)
Elaboração de relatório/dissertação/tese 30,00
Frequência das aulas 40,00
Elaboração de projeto 5,00
Trabalho laboratorial 25,00
Total: 100,00

Obtenção de frequência

The student has to deliver a simulation (50%), a report (25%), and carry out a discussion about these two elements (25%) with the teacher. The minimum score for each of the evaluation elements is 10 (ten) in a scale from 0 to 20 (twenty).

Fórmula de cálculo da classificação final

The final grade of the course (NF) will be calculated as follows:
- The simulation grade (NT) with a minimum value of 10 has a weight of 50% in the final grade (NF)
- The simulation report grade (NR) with a minimum value of 10 ​​has a weight of 25% in the final grade (NF)
- The report/simulation oral discussion grade (ND) with a minimum value of 10 has a weight of 25% in the final grade (NF)
- The final grade of the course will be calculated by: NF=0.5*NT + 0.25*NR + 0.25*ND

Trabalho de estágio/projeto

The project report must follow the standard format used for scientific work at IPS/ESTSetúbal.

Melhoria de classificação

Since the methodology of the course is based on a continuous assessment model, it is not possible to improve the classification through an exam.

Observações

Since the methodology of this course is based on a continuous assessment model, if the student has not delivered one or more of the aforementioned assessment instruments in due time, he cannot be submitted to an written exam. Likewise, and for the same reason, if the student has not passed one or more assessment instruments (simulation/report/discussion) he cannot be submitted to an written exam.
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