RENEWABLE ENERGY COMMUNITIES

Course objectives

OVERALL OBJECTIVES The course aims to systematically frame the students' knowledge in the field of renewable energy communities (REC) in the context of national and European legislation on the energy transition. Starting from the EU Clean Energy Package and the subsequent national implementation, RECs are a tool to make citizens protagonists and aware of the issue of distributed electricity and thermal generation, as well as to increase the diffusion of renewable sources in the national and European generation scenario. The study starts from the analysis of electrical and thermal loads, the profiling of users and the definition of a system for building a community made of prosumers and consumers. Students will be provided with the necessary knowledge to estimate the producibility of renewable energy source plants installed in the community, to make it as independent as possible from the national electricity grid, sustainable from an energy, environmental and financial point of view. Importance will be given to the non-stationary reconstruction of the energy and financial metabolism of the CER by virtue of the optimization of its performance. Approximately one third of the course will be devoted to the practical implementation of performance computing and CER optimization on an open-source Python platform. DETAILED OBJECTIVES 1. Understand what a REC is and how it is declined by national and European legislation 2. Understanding how to extimate the electrical and thermal loads of a REC 3. Understanding how to estimate the producibility of a renewable source plant located in a specific area 4. Understanding how to evaluate the energy, financial and environmental impact performance of the REC. 5. Understanding how to characterize a renewable energy source and evaluate the producibility of a conversion plant from renewable sources and its economic performance during the life cycle 6. Understanding how to model a CER on an open source Python system

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GIOVANNI DELIBRA Lecturers' profile

Program - Frequency - Exams

Course program
Theory: energy transition and the role of RECs Theory: prosumers, consumers, and conventional vs. renewable energy plants Theory: reconstruction of users’ electrical loads Theory: sizing and estimation of the photovoltaic yield of a system Assignment (peer presentation): identification of potential REC members in the area, identification of available spaces, and estimation of electrical loads Practical exercise: use of PVGIS for irradiation estimation and sizing of a photovoltaic system Theory: sizing of an electrochemical storage system (battery) coupled with photovoltaics Practical exercise: sizing of a battery system coupled with photovoltaic or other non-dispatchable RES plants Assignment (peer presentation): sizing of photovoltaic systems for REC prosumers Theory: optimization algorithms (introduction) Theory: energy and financial analysis of an REC, organizational models of an REC Practical exercise: energy and financial analysis of an REC in a Python environment Assignment: final presentation of the designed REC’s energy and financial operation
Prerequisites
Knowledge of basic thermodynamics and Energy Conversion Systems, Python programming
Books
slides CER regulations (referenced in the slides)
Frequency
In person Peer review and the practical assignment require to work in team and attend
Exam mode
The final examination consists of answering 3 written questions and presenting the results of the year assignment in the form of a peer discussion of the designed Community, supported by a presentation. The work is carried out in groups of 3–4 students and includes several stages of progress, defined year by year and described in the course syllabus under the items marked with the acronym LdA. The final grade awards up to 21 points for the presentation and 3 points for each theoretical question.
Lesson mode
Lectures, practical exercises, presentations of the work carried out during the course
ISABELLA PIZZUTI Lecturers' profile
  • Lesson code10610963
  • Academic year2025/2026
  • CourseMechanical Engineering for the Green Transition
  • CurriculumSingle curriculum
  • Year3rd year
  • Semester2nd semester
  • SSDING-IND/09
  • CFU6