2025
Energy Systems Design
Name: Energy Systems Design
Code: EME13236L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Mechanical Engineering
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: Presencial
Sustainable Development Goals
Learning Goals
The students will acquire knowledge that will allow them to carry out a study or develop an energy project, while integrating the knowledge acquired during the study cycle. The project can be developed in a business environment or at the University under the supervision of a teacher. Students will also develop skills in project implementation, in the collection and critical interpretation of relevant scientific and technical information, and in the preparation and defense of technical reports written according to the rules and methods generally accepted. Students will also develop skills in autonomously approaching the proposed tasks, always under supervision.
Contents
The work plan for each student will be defined by the supervisor in coordination with the course coordinator, respecting and fulfilling the general objectives and competences to develop in the curricular unit. The activities may, in general, be divided into the following topics:
1. participation in research or activities done in a business environment;
2. attendance to seminars, workshops or courses;
3. study or project development;
4. report writing.
The study or project will be framed in at least one of the following topics:
I. energy resource assessment and utilization;
II. selection and sizing of equipment and technologies;
III. design of energy equipment or process optimization;
IV. calculating the energy production from a renewable or conventional energy source;
V. economic, financial or environmental analysis of energy systems.
1. participation in research or activities done in a business environment;
2. attendance to seminars, workshops or courses;
3. study or project development;
4. report writing.
The study or project will be framed in at least one of the following topics:
I. energy resource assessment and utilization;
II. selection and sizing of equipment and technologies;
III. design of energy equipment or process optimization;
IV. calculating the energy production from a renewable or conventional energy source;
V. economic, financial or environmental analysis of energy systems.
Teaching Methods
Teaching is based on theoretical-practical contact classes to support the definition of each students' project and its presentation, accompanied by the supervision of the student by a company advisor and/or supervising teacher throughout the various stages and tasks until the report is deliver and the work presented.
Assessment
The assessment is based on a written report [R] and its presentation and discussion in a public session before the jury of the course [P]. The final grade [FG] to be awarded is calculated using the following formula:
FG = 0.85xR + 0.15xP.
Specific Rules for the Use of Artificial Intelligence (AI):
The use of AI is permitted to assist in structuring tables of contents, research, brainstorming ideas, and grammatical/stylistic revision. Furthermore, the use of tools for translation and code generation is allowed, provided there is manual verification.
It is mandatory for all assignments to include a brief ?AI Usage Transparency Report.? This report must not exceed 200 words and must describe which tools were used and for what purposes.
The student is responsible for the accuracy of bibliographic references; sources invented by AI (?hallucinations?) are considered serious academic negligence. Additionally, sections of text generated directly by AI must be cited as such (for example, following APA rules for AI).
It is expressly forbidden to submit texts and codes generated entirely by AI as one's own authorship; such action will be considered plagiarism. It is also forbidden to generate critical analyses or conclusions without direct human intervention, as well as the uploading of personal or confidential third-party data into AI tools.
Students must understand, validate, and assume full responsibility for the results and documents produced. Whenever doubts arise regarding intellectual authorship or undeclared AI use that are not resolved during the oral presentation of the work, the assignment will be annulled.
The misuse of AI will be treated as academic fraud under the terms of the Academic Regulations of the University of Évora.
FG = 0.85xR + 0.15xP.
Specific Rules for the Use of Artificial Intelligence (AI):
The use of AI is permitted to assist in structuring tables of contents, research, brainstorming ideas, and grammatical/stylistic revision. Furthermore, the use of tools for translation and code generation is allowed, provided there is manual verification.
It is mandatory for all assignments to include a brief ?AI Usage Transparency Report.? This report must not exceed 200 words and must describe which tools were used and for what purposes.
The student is responsible for the accuracy of bibliographic references; sources invented by AI (?hallucinations?) are considered serious academic negligence. Additionally, sections of text generated directly by AI must be cited as such (for example, following APA rules for AI).
It is expressly forbidden to submit texts and codes generated entirely by AI as one's own authorship; such action will be considered plagiarism. It is also forbidden to generate critical analyses or conclusions without direct human intervention, as well as the uploading of personal or confidential third-party data into AI tools.
Students must understand, validate, and assume full responsibility for the results and documents produced. Whenever doubts arise regarding intellectual authorship or undeclared AI use that are not resolved during the oral presentation of the work, the assignment will be annulled.
The misuse of AI will be treated as academic fraud under the terms of the Academic Regulations of the University of Évora.
Teaching Staff
- Isabel Maria Pereira Bastos Malico [responsible]
Accreditations and Certifications
