| Code |
17669
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| Year |
2
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| Semester |
S1
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| ECTS Credits |
6
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| Workload |
PL(15H)/T(30H)/TP(15H)
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| Scientific area |
ENGENHARIA ELECTROMECÂNICA
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Entry requirements |
n/a
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Learning outcomes |
The learning objectives of the Efficient and Intelligent Buildings course aim to equip students with the ability to apply energy efficiency and automation concepts, targeting sustainable and technological development. By the end of the course, students should be able to:
• Understand Fundamentals of Energy Efficiency: Analyze and apply principles of energy efficiency, including thermal insulation, ventilation, and natural lighting, to optimize energy use in buildings.
• Implement Automation Solutions: Design and configure automation systems that integrate sensors, actuators, and communication protocols, ensuring efficient control of internal systems.
• Integrate Renewable Energy and Energy Management: Identify and implement solutions that combine renewable energy sources and storage systems, promoting effective consumption management.
• Use Artificial Intelligence and Big Data: Analyze data and use artificial intelligence to predict operational parameters and improve building efficie
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Syllabus |
1. Introduction to Efficient and Intelligent Buildings
• Concept and importance of efficient and intelligent buildings
• Examples of model buildings
• Technological trends and challenges for emerging technologies
• Standards and regulations
2. Energy Efficiency Concepts
• Principles of energy efficiency
• Energy consumption analysis
• Energy optimization strategies in building envelopes
• Energy efficiency indicators
3. Building Automation Systems
• Automation and control technologies
• Sensors and actuators: types and applications
• Communication protocols
• Monitoring and control of building systems
4. Renewable Energy and Energy Management
• Renewable energies in buildings
• Integration of distributed generation systems
• Energy management and storage
• Consumption optimization
5. Integration of Artificial Intelligence and Big Data
• Data usage in intelligent buildings
• Artificial Intelligence for building management and operational forecasting
• Optimization algorithms
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Main Bibliography |
• Athienitis, A.K., Santamouris, M. (2020). Thermal Analysis and Design of Passive Solar Buildings. Routledge, Taylor & Francis.
• Zhiqiang, J. Z. (2022). Energy Efficient Buildings: Fundamentals of Building Science and Thermal Systems. Wiley.
• Dabija, A. (2021). Alternative Envelope Components for Energy-Efficient Buildings, Springer.
• Kempf, J. (2024) Automating Building Energy Management for Accelerated Building Decarbonization: System Architecture and the Network Layer, Wiley.
• Robyns, B, Dobigny, L., Abbes, D., Durillon, B., Barry, H., Saudemont, C. (2024) Smart Grids and Buildings for Energy and Societal Transition, Wiley.
• Seyedzadeh, S., Rahimian, F. P. (2021). Data-Driven Modelling of Non-Domestic Buildings Energy Performance, Springer.
• Scientific papers in Scopus and Web of Science
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Teaching Methodologies and Assessment Criteria |
Theoretical classes with content presentation. Theoretical-practical classes in the classroom with exercise solving. Practical lab classes with experimental, computational, and synthesis work.
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Language |
Portuguese. Tutorial support is available in English.
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