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Start   >  Master's & postgraduate courses  >  Education  >  Master's degree in Smart Energy
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Programme

Edition
1st Edition
Credits
60 ECTS (432 teaching hours)
Delivery
Face-to-face
Language of instruction
Spanish
Fee
€7,800
Notes payment of enrolment fee and 0,7% campaign
Registration open until the beginning of the course or until end of vacancies.
Start date
Classes start: 14/10/2019
Classes end: 08/07/2020
Programme ends : 29/04/2021
Timetable
Monday: 6:00 pm to 9:30 pm
Tuesday: 6:00 pm to 9:30 pm
Wednesday: 6:00 pm to 9:30 pm
Thursday: 6:00 pm to 9:30 pm
Taught at
CITCEA-UPC
Av. Diagonal, 647. Planta 2. Aula Schneider
Barcelona
Why this programme?
Thanks to the incorporation and development of renewable energies and electric mobility, the network is evolving towards so-called smart grids. These networks require intelligent management, the result of a high volume of data and information flow for their operation.

On the other hand, the end user is more aware of the energy he consumes and the possible environmental impacts that this entails. All this converges in the will to incorporate distributed energy resources, analyze them and optimize their functioning.

In this course we want to provide students with a transversal knowledge about the tools that allow optimizing the operation of smart electric networks, managing users and favoring the integration of distributed energy resources. In addition, this program allows to know the operation of electricity markets and the regulatory framework at both the state and European level.

During the development of the program technical-economic studies of energy projects will be carried out to know everything necessary to develop projects from planning to operation and its environmental impact. With the monitoring and analysis of data, transversal projects will be carried out to apply this knowledge in the energy field and find solutions to real problems.

The master's degree has the support of leading companies and research centers in the sector and innovators in the field of energy transition, which will allow discovering the strong and strategic points in the digitalization of energy and the new associated business models. Account, also, with international faculty with a lot of experience in the private sector of development of renewable energy projects.
Aims
  • Analysis of the planning and operation of the electrical system, including wind generation, photovoltaic solar, energy storage systems and electric vehicle.
  • Understand the design, operation and control of smart electric networks at distribution and transport levels. Microgrids, HVDC and FACTS systems.
  • Application of tools for monitoring, acquisition and data processing for the control and optimization of electrical systems. Big data, machine learning, optimization and digitalization of energy.
  • Analysis of the energy and economic regulatory context of the current electricity sector.
  • Knowledge of the dynamics of electricity markets and supply contracting options.
  • Techno-economic and environmental analysis of energy projects. Management of equipment and projects.
Who is it for?
  • Engineers.
  • Professionals from the economic sector with technical vision.
  • Professionals in the technical field.

Training Content

List of subjects
12 ECTS 105h
Renewable Energies and the Electric Vehicle
  • Electricity generation
    • Parts of a generation plant.
    • Modeling of synchronous generators.
    • Connection to power network of infinite short circuit.
    • Conventional synchronous generator simulation.
    • PMSM as generator. Generation with induction machine.
    • Simulation winding rotor generators.
  • Photovoltaic Solar Energy
    • Introduction to photovoltaic solar energy. Type of facilities, basic solar geometry, evolution and topicality.
    • Photovoltaic modules, technologies, technological considerations (mismatch, shading, solar trackers).
    • Cell and panel modeling.
    • Design of facilities.
    • Introduction to photovoltaic converters. Components, modulation. The inverter connected to the network.
    • Monitoring systems of the point of maximum power. MPPT and performance of photovoltaic inverters.
    • Apple detection systems. Normative context and detection algorithms.
  • Wind power
    • Introduction to wind systems simulation.
    • Electric machines used for wind generation.
    • Static converters used for wind generation.
    • Modeling and simulation of static converters.
    • Control applied to wind generation.
    • Network integration of wind power and network connection codes.
    • Simulation of wind generation systems.
  • Electric mobility
    • Introduction to hybrid and electric vehicles.
    • Dynamics of the electric vehicle.
    • Electric vehicle Regulations and integration to smart grids.
    • Electric traction Motors and converters.
    • Modeling and simulation of an electric vehicle.
    • Railway electrical system.
  • Energy storage
    • Storage of electrical energy with mechanical systems.
    • Storage of electrical energy with supercapacitors.
    • Storage of electrical energy with batteries.
    • Modeling and control of storage technologies and associated power conversion systems.
    • Cost evaluation.
12 ECTS 105h
Smart Grids
  • Fundamentals of electrical engineering
    • Introduction. Ohm's law.
    • Effective value and phasors.
    • Three-phase systems.
    • Ideal transformers.
    • Schematic equivalent of the transformer.
  • Analysis of electrical networks
    • Introduction to the electrical system.
    • Components of the network
    • Parameters and models of the network.
    • Analysis in permanent regime.
    • Transformer and load flow.
    • Problems applied.
    • Introduction to MATPOWER.
    • Planning of electrical networks.
    • Simulation of electrical networks.
    • Criteria for expansion of electrical networks.
  • Smart electrical networks
    • Introduction to smart electric networks. New concepts of networks and microgrids.
    • Theory and practice on the SGAM methodology.
    • Communications in electrical networks.
    • Protections, telecontrol and telesupervision of distribution networks.
    • Communications practice (IEC 61850) and protections.
    • O & M asset management, monitoring and energy efficiency.
    • Introduction to supply quality and problems.
    • Monitoring practices and quality of supply.
    • Introduction to the control of controllable equipment and control practice of an inverter to support the network (pending).
    • Visit to EyPESA.
  • HVDC and FACTS, controllable DC and AC electrical systems
    • Introduction to networks to HVDC, FACTS, AC / DC electrical systems.
    • Operation of a VSC converter connected to the network.
    • FACTS devices.
    • Practices on FACTS devices.
    • The HVDC technology.
    • HVDC networks.
12 ECTS 105h
Digital Energy
  • Information technology
    • Introduction to ICTs.
    • Management of repositories.
    • Databases.
    • Web-page design.
    • Programming languages: PHP and Javascript.
    • Final practice.
  • Big Data and Machine Learning
    • Introduction to big data and machine learning applied to the electricity sector: problems and analysis tools.
    • Introduction to data analysis programming.
    • Data preprocessing. Cleaning, regression and estimation of values not obtained.
    • Prediction models of electricity demand. Cases of study at national level and final consumer.
    • Prediction of electrical consumption of buildings and small consumers with machine learning.
    • Prediction of electricity prices and deviations of the electrical system with machine learning algorithms.
    • Analysis of electricity meter data. Clustering models and customer classification.
  • Digitization of energy
    • Introduction to the IoT and the digitalization of energy.
    • Low cost tools for IoT applications applied to energy.
    • Monitoring of domestic loads.
    • Storage and classification of household consumption data.
    • Active management of demand applied to domestic loads.
    • IoT projects applied to the energy sector.
  • Optimization tools for energy systems
    • Basic principles of optimization.
    • Mathematical, deterministic and heuristic formulations.
    • OPF: DC, AC, Hybrid AC / DC.
  • Blockchain in the energy sector
    • Introduction to blockchain.
    • Blockchain application.
12 ECTS 105h
Energy Economics
  • Regulation and planning of energy
    • European regulation.
    • Spanish regulation.
    • Macroeconomic energy planning.
    • Electrical system planning: transport.
    • Electrical system planning: distribution.
  • Electricity markets
    • Structure of the electricity sector.
    • Daily market.
    • Intraday and rolling market.
    • Futures markets.
    • Innovation in markets.
    • Daily market simulator.
  • Hiring and energy consultancy
    • Tariff system and commercialization.
    • Hiring and energy consultancy for BT clients.
    • Hiring and energy consultancy for AT clients.
    • ESCO.
    • Microeconomic energy planning.
  • Techno-economic and environmental analysis of energy projects
    • Management of renewable energy projects.
    • Basic project.
    • Technical study of photovoltaic plants.
    • Economic and ecological analysis.
    • Construction project.
    • Financial analysis.
    • Analysis of the life cycle and environmental impact.
  • Energy strategy and innovation
    • Business models in the energy sector.
    • Strategy and innovation management.
    • Entrepreneurship and financing options for energy innovation.
    • Management of innovation applied to practical cases.
    • Leadership.
    • Self-knowledge for team management and conflict management.
12 ECTS 12h
Final Project
Degree
Special master's degree issued by the Universitat Politècnica de Catalunya. Issued pursuant to art. 34.1 of Organic Law 4/2007 of 12 April, amending Organic Law 6/2001 of 21 December, concerning Universities. To obtain it, is necessary to have an official university qualification. Otherwise, the student will receive a certificate of completion of the programme issued by the Fundació Politècnica de Catalunya.
Range of modules
The master's degree programme is organized into the following modules. If you don't wish to take the entire master's degree you can sign on one or several modules.
Master's degree:
relation Postgraduate courses:

Learning methodology

The teaching methodology of the programme facilitates the student's learning and the achievement of the necessary competences.

Learning tools
Participatory lectures
A presentation of the conceptual foundations of the content to be taught, promoting interaction with the students to guide them in their learning of the different contents and the development of the established competences.
Practical classroom sessions
Knowledge is applied to a real or hypothetical environment, where specific aspects are identified and worked on to facilitate understanding, with the support from teaching staff.
Solving exercises
Solutions are worked on by practising routines, applying formulas and algorithms, and procedures are followed for transforming the available information and interpreting the results.
Problem-based learning (PBL)
An active learning methodology that enables the student to be involved from the beginning, and to acquire knowledge and skills by considering and resolving complex problems and situations.
Flipped classroom
The contents are prepared prior to the face-to-face lessons. Practical sessions take place in the classroom, which enable understanding and application of concepts to real cases and the expansion of knowledge with more technical and specialised details.
Assessment criteria
Attendance
At least 80% attendance of teaching hours is required.
Solving exercises, questionnaires or exams
Individual tests aimed at assessing the degree of learning and the acquisition of competences.
Completion and presentation of the final project
Individual or group projects in which the contents taught in the programme are applied. The project can be based on real cases and include the identification of a problem, the design of the solution, its implementation or a business plan. The project will be presented and defended in public.
Work placements & employment service
Students can access job offers in their field of specialisation on the My_Tech_Space virtual campus. Applications made from this site will be treated confidentially. Hundreds of offers of the UPC School of Professional & Executive Development employment service appear annually. The offers range from formal contracts to work placement agreements.
Virtual campus
The students on this master's degree will have access to the My_ Tech_Space virtual campus - an effective platform for work and communication between the course's students, lecturers, directors and coordinators. My_Tech_Space provides the documentation for each training session before it starts, and enables students to work as a team, consult lecturers, check notes, etc.

Teaching team

Teaching staff
  • Chillón Antón, Cristian
    Industrial Engineer from the Universitat Politècnica de Catalunya. Investigator of the CITCEA-UPC.
  • Galceran Arellano, Samuel
    View profile in futur.upc
    Ph.D. in Industrial Engineering from the Universitat Politècnica de Catalunya. Assistant Professor University and deputy director of CITCEA-UPC.
  • Lloret Gallego, Pau
    View profile in Linkedin
    Industrial Engineer from the Universitat Politècnica de Catalunya. Researcher of the CITCEA-UPC.
  • Miguel Espinar, Carlos
    View profile in Linkedin
    Industrial Engineer from the Universitat Politècnica de Catalunya. Researcher of the CITCEA-UPC.
  • Montesinos Miracle, Daniel
    View profile in futur.upc / View profile in Linkedin
    Ph.D. Electrical Engineering from the Universitat Politècnica de Catalunya. Professor in the Department of Electrical Engineering of the UPC.
  • Olivella Rosell, Pol
    View profile in Linkedin
    Industrial Engineer from the Universitat Politècnica de Catalunya. Researcher of the CITCEA-UPC.
  • Resch, Matthias
    After graduating, he worked for four years as a project engineer planning and developing small and large scale PV power plants. In total a accumulated power of 25 MWp were realised in four different countries. He wrote his PhD thesis at the UPC in Barcelona about large scale battery systems in distribution grids. Currently he works at the smart grid department of SINTEF in Norway as a research scientist. His core competence is the analysis of electrical distribution grids with a high share of renewable energy, especially PV systems and the integration of batteries and electric vehicles.
  • Sumper, Andreas
    View profile in futur.upc / View profile in Linkedin
    PhD in Industrial Engineering from the Universitat Politècnica de Catalunya. Professor at the UPC and researcher in the area of transport, generation and distribution of electricity, as well as new energy models for the energy transition of the CITCEA-UPC research group. Responsible for the Master Innoenergy Energy for Smart Cities at the UPC. Director of the Endesa Red Chair in Energy Innovation. Author of more than 200 publications in prestigious journals and conferences, as well as author and editor of several books. Digital Energy Evangelist.

Associates entities

Collaborating partners

Career opportunities

  • Head of projects in companies in the energy sector.
  • Consultant of energy projects.
  • Energy project manager.
  • Data analyst.
  • Technical manager of innovation area in companies of the energy sector.
  • Responsible for development in public entities (energy field).
  • Innovation manager in companies.

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How to start admission
To start the enrolment process for this programme you must complete and send the form that you will find at the bottom of these lines.

Next you will receive a welcome email detailing the three steps necessary to formalize the enrolment procedure:

1. Complete and confirm your personal details.

2. Validate your curriculum vitae and attach any additional required documentation, whenever this is necessary for admission.

3. Pay €110 in concept of the registration fee for the programme. This fee will be discounted from the total enrolment fee and will only be returned when a student isn't admitted on a programme.

Once the fee has been paid and we have all your documentation, we will assess your candidacy and, if you are admitted on the course, we will send you a letter of acceptance. This document will provide you with all the necessary information to formalize the enrolment process for the programme.




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