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Home , Energy engineering

Master’s in Storage Year 1 , IST Instituto Superior Técnico

Mandatory courses (36 ECTS) ECTS

Renewable Sources and Distributed Generation 6

Energy Management 4.5

Energy Storage 6

Topics on Batteries 6

Tech. Based Entrepreneurship 7.5

Decision Support Models 6

Variable/Elective (24 ECTS)

Harmonization/Elective

Harmonization/Elective

Elective

Elective

- Harmonization -

- Transport Phenomena I – - 6

- Energy and Transfer - 6

- Electronic Fundamentals - 6

- Electric and Electromechanical Systems - 6

- Electives -

- Alternative - 6

- Biofuels - 6

- Data Analysis and Integration - 7.5

- Data Analytics for Smart Grids - 6

- Data Science - 7.5

- Electrical Machines - 6

- Electrochemistry and Energy - 6

- Hydromineral and Geothermal Resources - 6

- - 6

- Marine Current and Tidal Energy - 6

- Offshore Wind Energy - 6

- Photovoltaic - 6

- Power System Network Analysis - 6

- Project in Energy - 6

- Pump and Hydropower Systems - 6

- Solar - 6

- Turbomachinery - 6

- Waste to Energy - 6

- Wave Energy - 6

- Other free courses -

Renewable Sources and Distributed Power Generation

Learning Outcomes:

The students must consolidate engineering concepts of distributed power generation, namely renewable sources (small-hydro, wind and photovoltaic) and combined and power production. To give further insight regarding the interconnection of distributed power generation to the existing AC system.

Syllabus / Content:

- Characteristics of the Portuguese electrical ~

- Economic analysis of projects - Small-hydro plants - Wind energy - Photovoltaic energy - - conversion equipment

Evaluation Methods: The final assessment results from the average mark of 4 tests to be given during the semester. This average mark should be greater or equal to 9,5.

Link: https://fenix.tecnico.ulisboa.pt/cursos/mege/disciplina-curricular/1529008512967

Energy Management

Learning Outcomes:

The aim is to provide the knowledge and the tools required to understand and model the energy fluxes in industrial systems, buildings or complex equipments, in order to optimize energy use as well as quantifying the environmental and economic benefits associated to these actions. After completing this course, students will be able to:

- discuss the concepts and compute primary, final and useful ; - identify energy transitions at the primary and final energy levels; - discuss the relationship between economic growth and energy use; - analyze the energetic balance of a country/region; - compute the weight of renewables on the mix using different methods; - use Sankey Diagrams to analyse the energy flow of a country/activity; - compute the energy specific consumption of a product and the impact of certain efficiency measures on the specific consumption; - compute the impact that changes in the economic structure have on energy demands using input-output and be more interested in .

Syllabus / Content:

1. Primary energy sources and energy prices 2. Energy demand: analysis of the energy demand in different economic sectors 3. Primary energy and final energy: the concept of toe as the basic unit of primary energy; the hydrogen economy: the role of hy-drogen as an energy vector and its technological implications. 4. Energy intensity and its environmental consequences. The carbon markets. 5. Analytical modeling complex energy systems, making use of: block diagrams for unit process representation, complex system modeling making use of block diagrams in series, in parallel and feed-back systems. 6. energy input-output tables: the facility of modeling complex systems including feedback and recycling. 7. Implementation of analytical models to different case studies. 8. Methodologies for conducting energy audits and for establishing energy optimization plans. Optimal use of energy in: 9. Gas, , electric and liquid fuels boilers: proper use of steam for energy transfer, steam distribution and maintenance. 10. Lightning: illumination requirements, recommended levels of light availability, types of light sources. 11. Thermal insulation design. 12. Heat pumps. 13. Systems integration for promoting the most rational use of energy: cogeneration and equipment integration. The use of hydro-gen as an energy vector, the cells.

Evaluation Methods: Final written exam and/or mid-term written exams.

Link: https://fenix.tecnico.ulisboa.pt/disciplinas/GEne5179577/2019-2020/1-semestre/pagina- inicial

Energy Storage

Learning Outcomes:

After this course the student must: - understand the working principles of the most important energy storage technologies, including thermal, chemical, mechanical, magnetic and electromagnetic, hydropower, synthetic fuels and electrochemical storage. - aknowledge the most recent developments on the integration of energy storage technologies and solutions in production and management from conventional and from renewable sources. - Acquire the tools for the design, planning and implementation of energy storage solutions.

Syllabus / Content:

1. The current energy scenario. Introduction - historical context and energy storage interest. 2. Basic concepts of . 3. Fundamental notions of Transport Phenomena. 4. Energy storage based on phase changes and chemical reactions. 5. Phase equilibrium; and sensible heat; Rule phases; Phase equilibria of pure systems and mixtures thereof; eutectic, peritectics and azeotropic systems (gas-liquid). 6. Thermal effects of chemical reactions. Applications. 7. Energy storage in organic substances. The production of fuels as an energy storage medium. Production of liquid and gaseous fuels (including hydrogen) from biomass. 8. storage. Hydroelectric dams, storage in dams. 9. Basics of electrochemical storage. 10. Electromagnetic energy storage - Condensers, types of capacitors, operating mechanism and storage. Superconductor drivers, operating mechanism and storage. Applications.

11. Electrochemical energy storage. Different generations and types of batteries. Double layer supercapacitors, Faradaic and asymmetrical. 12. Hybrid systems (banks batteries / supercapacitors). Charge storage capacity and charge and discharge cycles. 13. Ragone relationships and their interpretation. Applications in production of conventional and renewable energy systems, electric mobility, transport, smart grids and efficient buildings. 14. Lifecycle analysis, including recycling of batteries and supercapacitors and sustainability in their re-conversion or elimination 15. Future prospects - solar and wind energy storage and energy storage for the propulsion of vehicles, network integration and smart cities; electric mobility and consumer electronics.

Evaluation Methods: 1 project/seminar (50%) + 2 tests (50%)

Link: https://fenix.tecnico.ulisboa.pt/cursos/mege/disciplina-curricular/845953938489448

Topics on Batteries

Learning Outcomes:

After this course the student must: - Understand the role of batteries in the . - Understand the working principles of different families of batteries. - highlight how batteries fit into the circular economy context and to discuss the relevance of sustainable technologies. - Understand the battery value chain, considering raw materials, new active materials, fabrication and assembling processes, applications and recycling. - Understand the sustainability of the processes and operations associated to the fabrication of electrodes, assembling of cells, battery use and management and recycling.

- Design and implement energy storage solutions based on batteries considering different applications. - Analyze batteries life cycle. To discuss market trends and to identify new paths for the future of batteries.

Syllabus / Content:

1. The energy transition: challenges and opportunities for batteries. 2. Battery evolution and novel markets. 3. Working principles of different batteries. 4. Value chain of batteries. 5. Raw materials. 6. Development of novel active materials, sustainability and environmental impact. 7. Electrolytes and the need of sustainable processes. 8. Processes and technology in fabrication and assembling of cells. 9. Use of batteries to implement energy storage solutions in conventional and renewable energy production, electric mobility, transportation, grid management, industrial efficiency and smart buildings. 10. Certification and normalization. 11. Battery safety. 12. Hybrid systems (batteries and supercapacitors). 13. Maintenance and Battery lifetime. 14. Batteries 2nd life. 15. Recycling processes. 16. Cost and lifecycle analysis. 17. Circular economy models. 18. Environmental sustainability and related legislation. 19. Future perspectives: new battery paths, novel applications and market challenges.

Evaluation Methods: Project (50%) and seminars (50%)

Link: https://fenix.tecnico.ulisboa.pt/cursos/mege/disciplina-curricular/564478961778783

Tech. Based Entrepreneurship

Learning Outcomes:

After this course the student must:

- Understand the process of opportunity recognition and analysis of technology based activities. - Understand the criteria used in evaluating opportunities and to develop venture screening criteria. - Understand the necessary procedures for protecting the intellectual property of technology that supports de business idea. - Understand the basic financial tools necessary for analyzing financial requirements and forecasting the profitability of new businesses. - Understand the types of venture partners and alliances that might be beneficial for venture success. - Identify the various sources of financing for ventures. - Understand the role of teams in the entrepreneurial process and the type of team partners that entrepreneurs must seek. - Identify the organizational aspects relative to development, production and commercialization activities of new products and services. - Realize how these preliminary steps lay the ground for the creation of an effective business plan.

Syllabus / Content:

1. Chapter I. Introduction: Innovation and Entrepreneurship. 2. Chapter II. Technology and opportunity recognition 3. Chapter III. Universities and technology commercialization. 4. Chapter IV. The process of venture creation.

5. Chapter V. Market research and industry analysis. 6. Chapter VI. Opportunity planning and assessment. 7. Chapter VII. Intellectual property protection. 8. Chapter VIII. Financial planning. 9. Chapter IX. Sources of financing for new technology-based ventures. 10. Chapter X. The entrepreneurial team and organizational model. 11. Chapter XI. The business planThe current energy scenario. Introduction historical context and energy storage interest.

Evaluation Methods: Teaching will draw on different methodologies. The conceptual approach to entrepreneurship and innovation and its potential to foster job creation and socioeconomic development will be addressed mainly through readings and classroom discussions. Identifying technology-based business opportunities, analyzing markets, customers and competitors; selecting an intellectual property protection and funding strategy will be covered through readings, case studies, classroom discussion, presentations and the final report. Students will also learn how to assess and develop human capital in the workplace from the experience of working together with colleagues originating from different backgrounds and nationalities. Evaluation criteria: i. Team work: a. The presentation and delivery of a case-study, a mid-term and a final report ii. Individual work: a. Report (case-study) and Participation in class.

Link: https://fenix.tecnico.ulisboa.pt/cursos/mege/disciplina-curricular/1529008512555

Decision Support Models

Learning Outcomes:

After this course the student will:

- Be familiar with distinct decision-making strategies and traps in the evaluation of options and in the allocation of resources in private and public contexts; - Be familiar with key theoretical and methodological concepts of decision-making and decision aid relevant for the best practice of decision engineering;

- Be familiar with models, processes and tools for helping to structure and explore decisions characterized by multiple objectives, uncertainty, complexity and differences of opinion; - Be familiar with examples of real-world decision analysis and decision conferencing applications in organizations; - Be familiar with other topics considered relevant for engineering decisions, covering problem structuring methods, heuristics and biases and group decision and negotiation; - Have developed skills in decision analysis and modeling; - Be able to select and use specialized decision support software in different decision contexts.

Syllabus / Content:

1. The decision-making problematic: Definition of the decision problem. Importance of decision making in engineering and management. Characteristics of the decision context. 2. Decision making strategies. Uncertainty and complexity. Value and risk. 3. What is Decision Analysis (DA)? DA objectives. The seven fundamental steps of DA. DA schools of thought and theoretical foundations. The problem of decision aiding. 4. Intervention strategies: From optimization to the learning paradigm. Value and utility analysis. Decision conference and facilitation. 5. Concepts, models, techniques and software for decision support: a. Decision trees and influence diagrams; case studies; PRECISION TREE. b. Bayesian networks; case studies; NETICA. c. Probabilities modelling and risk analysis; case studies; @RISK. d. Cognitive mapping; case studies; DECISION EXPLORER. e. Multiple criteria evaluation models; case studies; MACBETH. f. Resource allocation and negotiation; case studies; PROBE and MACBETH.

Evaluation Methods: Teaching is mostly organized by groups of models, techniques and software for decision support that can assist different types of decision problems. For each type of decision problem, teaching is based on the presentation of methods, models and

techniques to assist decision-makers, followed by a discussion of real world case studies and of key methodological aspects, and on the use of decision support tools. For some topics students also carry out practical exercises. Evaluation is done through two groupwork assignments and one individual exam. In one groupwork students structure problems characterized by uncertainty, build models and implement them in appropriate software; in another groupwork students build a multicriteria evaluation model to assist a decision-maker in a real problem.

Link: https://fenix.tecnico.ulisboa.pt/disciplinas/MADec4/2019-2020/2-semestre/pagina- inicial

The list of courses on this page are examples of possible courses you may be taking in this programme. The universities providing the courses reserve the right to cancel, postpone or reschedule any of their courses.