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Smart Grids

Code:

REID18

Sigla:

REI

Áreas Científicas
Classificação	Área Científica
CNAEF	Electricity and energy

Ocorrência: 2023/2024 - 1S

Ativa?	Yes
Unidade Responsável:	Departamento de Engenharia Eletrotécnica
Curso/CE Responsável:	Professional Technical Higher Education Courses in Smart Grids and Home Automation

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
REID	8	Plano de Estudos 2018/19	2	-	3	30	81

Língua de trabalho

Portuguese

Objetivos

Acquisition of concepts associated with intelligent electrical distribution networks, characterizing an intelligent electrical network, discussing the technologies used in intelligent electrical networks, identifying the functions and requirements associated with intelligent electrical networks, identifying new business opportunities created based on the characteristics and resources technologies inherent to smart electrical grids.

Resultados de aprendizagem e competências

Upon completion of the course, the student will be able to:

1. Identify the key elements of a Smart Grid and visualize the roadmap for implementing next generation electrical grids.


2. Assess technology options regarding renewable energy generation, energy storage, data handling and smart grid communication.


3. Justify technological and economic choices in the context of existing smart grid residential projects and suggest improvements.


4. Determining the relevance of smart grid projects, developing ways to assess their impacts and implications


5. Analyze the new roles of utilities and consumers in smart grids and identify business opportunities and potential gains.

Modo de trabalho

Presencial

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

None.

Programa

1 - Introduction to the Portuguese Electricity Grid

2 - Smart Electricity Grid: Meaning, objectives and benefits

3 - Technological challenges for the implementation of an Intelligent Electric Grid.

4 - Smart meters and electric vehicles.

5 - Integration of renewable energies.

6 - Storage technologies.

7 - Microgrids

8 - Applicable regulations and standards

Bibliografia Obrigatória

Fernando Maia; Redes Elétricas Inteligentes - Análise de Custo e Benefícios, Synergia Editora

Bibliografia Complementar

Iniewski,Krzysztof / Berger,Lars Torsten; Redes Elétricas Inteligentes - Aplicações, Comunicação e Segurança, LTC, 2015
Fabio Toledo; Desvendando As Redes Elétricas Inteligentes., Smart Grid Handbook, Brasport. , 2012

Métodos de ensino e atividades de aprendizagem

Expository method using case studies to exemplify the subject.

Palavras Chave

Technological sciences > Engineering > Electrical engineering
Technological sciences > Technology > Energy technology > Electric vehicles
Technological sciences > Technology > Energy technology > Renewable energies

Tipo de avaliação

Distributed evaluation with final exam

Componentes de Avaliação

Designation	Peso (%)
Teste	70,00
Trabalho escrito	30,00
Total:	100,00

Componentes de Ocupação

Designation	Tempo (Horas)
Estudo autónomo	15,00
Frequência das aulas	30,00
Trabalho escrito	15,00
Total:	60,00

Obtenção de frequência

Approval Conditions:

Continuous evaluation:

- Theoretical component: continuous assessment with 2 interim tests on a date to be defined, with a weight of 70% and a minimum score of 8 values for each test.

- Practical component: continuous assessment with the completion 2 assignments, with a total weight of 30%, minimum grade of 10 values.


Final evaluation:

- Exam with 100% weight.

Fórmula de cálculo da classificação final

The final grade for the course will be calculated as follows:

Discipline Grade for Continuous Assessment (NDAC):

- Theoretical grade (NT): the minimum grade for each test is 8 values (without rounding), with a weight of 70%.

- Practical grade (NP): calculated based on the completion of work equal to or greater than 10 values with a weight of 30%.

NFAC = 0.7*NT+0.3*NP


Subject Grade Assessment by Exam (NDAE):

- Final exam grade (NE) must be equal to or greater than 10 values.

NDAE = NE