Academic Year/course:
2023/24
636 - Master's in Renewable Energies and Energy Efficiency
66378 - Optimization of hybrid generation systems with
renewable sources
Syllabus Information
Academic year:
2023/24
Subject:
66378 - Optimization of hybrid generation systems with
renewable sources
Faculty / School:
110 - Escuela de Ingeniería y Arquitectura
Degree:
636 - Master's in Renewable Energies and Energy Efficiency
ECTS:
3.0
Year:
1
Semester:
Second semester
Subject type:
Optional
Module:
---
1. General information
The main objective of the subject is to enable students to define the electrical demand of a system, to pre-dimension of simple isolated renewable systems, to evaluate the possibilities of self-consumption and to carry out the optimal dimensioning of the hybrid renewable system, connected or isolated from the grid, taking into account the technical and economic aspects.
These approaches and objectives are aligned with the Sustainable Development Goals (SDGs) of the United Nations Agenda 2030(https://www.un.org/sustainabledevelopment/es/), specifically, the learning activities planned in this subject will contribute to the achievement of Objectives 7.1 and 7.2 of Goal 7, Objective 9.5 of Goal 9, and Objective 13.3 of Goal 13.
2. Learning results
To characterize the electrical energy demand in a system.
To model the different elements of an isolated system or a microgrid for optimal sizing.
To pre-dimension simple photovoltaic systems with batteries and photovoltaic pumping systems.
To assess, both technically and economically, the different modalities of self-consumption with net balance or net billing.
To use specific software for the simulation and optimization of isolated hybrid systems and microgrids and to interpret the results obtained.
3. Syllabus
1. Introduction to distributed power generation
2. Mini and microgrids
3. Characterization of electricity consumption
4. Solar photovoltaic energy
5. Electrical energy storage
6. Sizing of isolated photovoltaic battery systems
7. Power conversion
8. Wind energy
9. Backup generator
10. Net balance and net revenue
11. Optimization techniques. Metaheuristics.
12- Simulation and optimization of hybrid systems.
4. Academic activities
A01. Master class (6 hours): presentation of contents by the teaching staff or external experts to all students of the subject.
A02. Problem solving and case studies (15 hours): practical exercises with all the students of the subject.
A03. Laboratory practice (7,5 hours): practical exercises in small groups of students.
A05. Practical application or research work (12 hours).
A07. Study (31,5 hours).
A08. Assessment tests (3 hours)
The hours indicated are only illustrative and will be adjusted depending on the academic calendar.
5. Assessment system
In the first call, the evaluation will consist of: academic papers (including those derived from the practical sessions) 50% and an open-ended written test 50%. Students who do not opt for the assessment method described above in the first call are entitled to take a global assessment test (the subject will be completely evaluated in a single test).
The second call will be carried out by means of a global test during the period established for this purpose in the months of June and July of the academic calendar.