DOTTORATO DI RICERCA IN ENERGIA E AMBIENTE
DIDATTICA EROGATA 2023-2024
1. SISTEMI DIGITALI PER LA TRANSIZIONE ENERGETICA DELL'AMBIENTE COSTRUITO (18 H- 3 CREDITI)
DOCENTI: G.Piras, A. Vallati, D.Astiaso Garcia, F.Mancini e F.Cumo
DATE E ORARIO:
• 24.01.2024 ore 09:00- D.A.G.
• 05.02.2024 ore 12:00- A.V.
• 13.02.2024 ore 18:00- G.P.
• 20.02.2024 ore 18:00- G.P.
• 25.03.2024 ore 15:00- F.C
• 27.02.2024 ore 10:00- F.M.
DESCRIZIONE: Il corso è finalizzato a fornire i principali elementi per la realizzazione di un sistema di gestione/controllo digitalizzato di una rete energetica dove siano presenti sia sistemi di produzione di energia focalizzati che una serie di carichi. Verranno quindi forniti gli elementi principali per poter realizzare una rete di monitoraggio puntuale dei carichi per poter/i allineare il più possibile con i sistemi di produzione di energia rinnovabile e minimizzare quindi i sistemi di accumulo che renderebbero completamente autonomo il sistema. Verranno quindi esaminati sensori IOT, piattaforme di acquisizione dati e software per la gestione delle reti.
2. SOLAR ENERGY CONVERSION: TRAINING IN RADIATION AND PHOTOVOLTAIC PERFORMANCE (12 H- 2 CREDITI)
DOCENTI:L.Micheli
DATE E ORARIO:
• Monday, March 4, 09:00-13:00:Solar Angles & Radiation Components
• Tuesday, March 5, 14.·00-18:00: Photovoltaic Angles & Performance
• Tuesday, March 19, 09;00-13:00: Solar Spectrum
DESCRIZIONE: This course explores solar radiation and photovoltaic performance simulation, combining lectures and hands-on activities. The course begins by looking into solar radiation, discussing its components and angles through a blend of theoretical sessions and practical exercises. This approach aims to transfer to the students the knowledge necessary for calculating the plane-of-array irradiance, a prerequisite for PV performance estimation. Moving forward, the course focuses on the understanding of PVGI5, a database facilitating photovoltaic performance simulation. Participants will gain understanding of the photovoltaic operation principles (e.g., the impact of irradiance and temperature) and the associated losses. Specific features of the platform, such as "terrain shadow," will be discussed, along with an analysis of the differences between historical data series and typical meteorological year (TMY). In the final segment, this course addresses the spectral profile of irradiance and includes an exercise involving SMARTS, NREL:S software to estimate ground-level radiation spectrum based on atmospheric conditions.
3. OPTIMUM SIZING OF HYBRID POWER STATIONS ON TECHNICAL-FINANCIAL AND ENVIRONMENTAL BASIS (18H- 3 CREDITI)
DOCENTI: John K. Kaldellis- West Attica University; Emilia Kondili - West Attica University
DATE E ORARIO:
• 5th March (10:00-13:00): Definition of Hybrid Power Station Components lncluding Energy Storage-The Proposed Solution
• 6th March (10:00-13:00): Mathematical Optimisation and Multicriteria Analysis for Hybrid Power Stations (EK)
• 7th March (10:00-13:00): Definition of a Scenario-Based Optimization Procedure-Basic Parameters and Optimization Criteria OK)
• 11th March (10:00-13:00): Optimisation Applications in Energy Systems: Energy Planning and the Water- Energy Nexus
• 21th March (10:00-13:00): Optimum Sizing Algorithm. The Energy Trilemma-Numerica/Examples
• 22nd March (10:00-13:00): Optimal Solution Selection on the basis of Financial & Environmental Performance
DESCRIZIONE: The course aims to present a complete methodology for selecting optimum solutions for remote communities and micro-grids. For this purpose, the basic components of the hybrid power systems, analyzing their energy (and water) demand along with the evaluation of the available solar and wind potential will be described. Moreover, the energy storage and demand side management options will be investigated, while any deferral loads (like electro-mobility or desalination ones) will also be taken into consideration.
Accordingly, the basic information concerning modern optimization techniques will be presented along with the multi-criteria analysis. Subsequently, a complete methodology for estimating optimum sizing solutions will be described, using the best scenarios approach. Finally, all these acceptable -on energy and water demand basis- solutions will be evaluated using the above-mentioned multi-criteria analysis, based on life cycle (or initial investment) cost analysis and minimum environmental impacts (including minimum carbon dioxide emissions).
The second module aims to enhance proficiency in using PVGI5, a database facilitating photovoltaic performance simulation. We will explore the principles of photovoltaic operation (e.g., the impact of irradiance and temperature) and the associated losses. Specific features of the platform, such as "terrain shadow," will be discussed, along with an analysis of the differences between historical data series and typical meteorological year (TMY).
4. HANDS ON MACHINE LEARNING FOR FLUID-MACHINERY (12 H- 2 CREDITI)
DOCENTI: L. Tieghi,V. F. Barnabei
DATE E ORARIO:
• Tuesday, 09/04/24,10:00-12:00: lntroduction to machine learning: basics, methods & applications
• Tuesday, 16/04/24,10:00-12:00: lntroduction to Python for Data Science: data management and visualization
• Tuesday, 23/04/24, 10:00-12:00: lntroduction to Python for Data Science: how to build a model
• Tuesday, 07/05/24,10:00-12:00: Normalization and Preprocessing of CFD Data for Machine Learning Algorithms
• Tuesday, 14/05/24,10:00-12:00: Tutorial:design of a feed forward neural network for aerodynamic performance of a NACA profìle
• Tuesday, 21/05/24,10:00-12:00: Tutorial:unsupervised learning methods for design space exploration
DESCRIZIONE: The course aims to provide students with the skills to understand and use data-driven tools and machine-learning methods. Participants will gain basic skills in learning methods, major algorithms and their applications. In particular, it will be shown how machine-learning algorithms can be applied to modeling turbomachinery flows and energy systems. The topics covered will range from methods for exploratory analysis to dimensional compression methods, and finally cover fundamental algorithms based on unsupervised and supervised learning. The course will include theoretical lectures side by side with live programming activities using interactive Python environments. The course will be fully hosted online using Google Meet. The link to access the meetings is available on the Google Classroom page.
5. FLOATING OFF-SHORE WIND TURBINES: DESIGN AND MODELLING CHALLENGES (12 h- 2 crediti)
DOCENTI:V.F. Barnabei,L. Tieghi
DATE E ORARIO:
• Tuesday, 09/04/24,14:30-16:30: Offshore wind energy: current state, perspective and challenges
• Tuesday, 16/04/24,14:30-16:30: Wind turbine design: BEMT theory & QBlade
• Tuesday, 23/04/24, 14:30-16:30: A multi-frame design and analysis tool: OpenFAST
• Tuesday, 30/04/24,14:30-16:30: Wind turbine farm optimization and performance evaluation: FLORIS
• Tuesday, 07/05/24,14:30-16:30: Advanced simulation methods for wind turbines: Actuator line & Blade Resolved CFD
• Tuesday, 14/05/24,14:30-16:30: Data-driven methods for predictive maintenance
DESCRIZIONE: The course aims to provide intermediate knowledge for the study of problems associated with offshore wind technology. In the first lecture, the current state of wind production in the world and the prospects in Italy and Europe will be analyzed. New technological solutions, characterization and modelling of the resource in the Mediterranean, and wind blade aerodynamics and geometry will be examined. In subsequent lectures, engineering methods and models for the design, optimization and validation of wind turbines will be explained in detail. The course includes both a theoretical introduction to the topics and a description of the main codes and software used for this purpose. The main methods for preliminary rotor design (Q-Biade, OpenFAST), tools for wake analysis and wind farm manufacturability assessment (Floris), and medium-fidelity methods for performance verification (ALM, CFD) will be shown. Finally, data-driven methods for temporal analysis of SCADA data to improve and monitor turbine health will be shown.
6. ADVANCED SOLUTIONS FOR PHOTOVOLTAIC POWER PLANTS (6 H - 1 CREDITO)
DOCENTI:L. Micheli
DATE E ORARIO:
• 2024-04-17,09:00-11:00: Floating Photovoltaics
• 2024-04-22,09:00-11:OO: Soiling: Definition & Mitigation
• 2024-04-24,09:00-11:00: Soiling: Monitoring
DESCRIZIONE: Photovoltaics is one of the key technologies for the clean energy transition. However, as its deployment grows, challenges related to land use, material consumption_ and competition with agriculture are arising. This course briefly analyses the current challenges that photovoltaics poses to the environment and evaluates some potential solutions to mitigate them. In particular, students will have the opportunity to learn about the status and the challenges of floating photovoltaic systems, a solution where modules are installed on water bodies instead of land. Furthermore, the course will also discuss soiling loss mitigation as a strategy for maximizing the performance of existing photovoltaic systems and minimizing their environmental effects.
7. CFD PER FLUSSI TURBOLENTI REATTIVI (12 H - 2 CREDITI)
DOCENTI:A lngenito
DATE E ORARIO:
• da martedì 4 a giovedì 20 giugno, ogni martedì e giovedì ore 14:00-16:00.
DESCRIZIONE: Cenni alle Equazioni Navier-Stokes per fluidi incomprimibili e compressibili, Analisi Adimensionale delle Equazioni; Applicazioni e limitazioni della DNS per flussi turbolenti reattivi; Introduzione agli approcci RANS e LES e alle equazioni di trasporto turbolento; Modelli di Turbolenza classici (k-epsilon, k-omega, ecc.); Modelli di Combustione; Esercizi di Applicazione tramite Software Commerciali; Analisi e interpretazione dei risultati ottenuti dalle simulazioni
8. SIMULAZIONE NUMERICA DEI SISTEMI NUCLEARI (18 H- 3 CREDITI)
DOCENTI:F.Giannetti, C. Ciurluini
DATE E ORARIO:
• dal 9/07/2024 al 12/07/2024
DESCRIZIONE: L'insegnamento, sotto forma di laboratorio applicativo, fornisce una breve introduzione delle metodologie e delle tecniche per la soluzione numerica di problemi di scambio termico/di massa e di termofluidodinamica a partire dalla descrizione matematica dei problemi per giungere alle tecniche numeriche di risoluzione. Verranno anche discussi i concetti fondamentali di calcoli di benchmark, di verifica dei modelli e validazione dei risultati. E' quindi previsto, oltre alle necessarie lezioni teoriche introduttive sugli aspetti fondamentali, lo svolgimento di applicazioni coinvolgenti l'utilizzo di codici di calcolo per sistemi energetici e nucleari, quali ad esempio RELAP5, per lo svolgimento di semplici analisi termoidrauliche in transitorio,
9. CARATTERIZZAZIONE DEI NANOFLUIDI PER APPLICAZIONI DI SCAMBIO TERMICO IN CONVEZIONE NATURALE E FORZATA (6 H - 1 CREDITO)
DOCENTI:A Quintino
DATA: 26/7/2024
DESCRIZIONE:Calcolo delle proprietà effettive del nanofluido: conducibilità termica e viscosità dinamica. Aspetti doppio-diffusivi della mixture. Calcolo dei coefficienti di diffusione di massa: coefficiente di diffusione Browniana e termoforetica. Simulazione numerica dei nanofluidi in applicazioni di scambio termico per convezione forzata e naturale.
10. PYTHON PROGRAMMING FOR ENERGY AND NUCLEAR ENGINEERING (18 H- 3 CREDITI)
DOCENTI:M.D'Onorio
DATE E ORARIO:
• Mon,23th Sept.: 9 AM - 12 PM ,3 PM - 6 PM
• Tue. 24th Sept.: 2 PM - 5 PM
• Wed.25th Sept.: 3 PM - 6 PM
• Thu.26th Sept.: 2 PM - 5 PM
• Fri. 27th Sept.: 3 PM - 6 PM DESCRIZIONE: Introduzione a/linguaggio di programmazione Python; Strutture dati in Python; Principali librerie per l'analisi numerica: NumPy, Pandas ecc.; esercizi ed applicazioni.
11. PRACTICAL CFD: A STEP-BY-STEP GUIDE TO COMPUTATIONAL FLUID DYNAMICS WITH OPENFOAM (18 H - 3 CREDITI)
DOCENTI: S.Siriano
DATE E ORARIO:
• October 08 -10-15-17 -22-25, h 15-18
DESCRIZIONE: introduction to CFD, the Finite Volume Method, Boundary conditions, Spatial and temporal discretization, introduction to OpenFOAM, how to run a case: from the geometrical model to the post-processing, a walk through the icoFoam solver: code description, implementation and testing.
12. MODELLAZIONE E ANALISI DATI MEDIANTE TECNICHE MONTE CARLO (18 H- 3 CREDITI)
DOCENTI: N.Burgio, M.Frullini, A. Santagata, M. Capogni
DATE E ORARIO:
• Lecture 1 - 07 October 2024 10-12 am - Alfonso Santagata - Monte Carlo and Uncertainties
• Lecture 2- 09 October 2024 10-12 am - Alfonso Santagata - Monte Carlo and Uncertainties
• Lecture 3 - 11 October 2024 10-12 am- Alfonso Santagata - Monte Carlo and Uncertainties
• Lecture 4 – 14 October/2024 10-12 am- Massimo Frullini - Availability
• Lecture 5 – 16 October/2024 10-12 am - Massimo Frullini - Availability
• Lecture 6 – 21 October/2024 10-12 am - Nunzio Burgio - High Energy, Heavy Ion MC Transport
• Lecture 7 – 23 Ocotber/2024 10-12 am- Nunzio Burgio - High Energy, Heavy Ion MC Transport
• Lecture 8 – 4 November 2024 10-12 pm - Marco Capogni - MC simulation of detector response to γ photon and α nuclei
• Lecture 9 – 7 November 2024 10-12 pm - Marco Capogni - MC simulation of detector response to γ photon and α nuclei
DESCRIZIONE: The uncertainty analysis is used in daily work to interpret the experimental data. Alfonso Santagata (ENEA- Sapienza) has dedicated much of his time to developing MC techniques in estimating error propagation and performing minimisation.
Availability is an essential industrial task and a fascinating research argument. The MC modelling and analysis of systems and components allow us to obtain solutions that are hard to find using traditional numerical techniques. Massimo Frullini (Sapienza) will illustrate the general availability principles using some numerical exercises in Matlab.
Heavy ions are the constituents of high-energy radiative sources such as Galactic Cosmic Rays and Solar Energetic Particles. The MC transport method of nuclear particles and Ions is one of the principal tools used to estimate the radiative impact on spacecraft, extraterrestrial habitats, and human dosimetry of such sources. Nunzio Burgio (ENEA) will present a simplified FLUKA simulation of the interaction of a 40 GeV/nuc. Iron source with an aluminium shell and a human tissue, showing the issues in modelling the secondary particle showers and estimating equivalent doses.
The modelling of γ and α detectors with FLUKA and GEANT4 with particular emphasis on the ionising radiation metrology, radioprotection, and preparation of radiative calibration source will be explained by Marco Capogni (ENEA) using FLUKA numerical MC simulation and discussing their alternative implementation in the GEANT4 code.
13. OPTIMISATION OF BIOFUELS AND HYDROGEN PRODUCTION AND CONVERSION IN A SUSTAINABLE/BIOREGENERATIVE PERSPECTIVE (24 H - 4 CREDITI)
DOCENTI:D. Borello, Y. leropoulos, F. Gallucci, J. Sesterhenn, B. De Caprariis, P. Venturini, V. Ancona, G. Gagliardi, M. Damizia, G. Agati, O. Palone
DATE E ORARIO:
• Prof. M. Damizia, 20/09/2024, Biofuels production technologies,lab. assistant Dr.Orlando Palone;
• Prof. Y. leropoulos, 01/10/2024, Microbial fuel cells and wastewater treatment technologies, lab. assistant Dr. Gabriele Guglielmo Gagliardi;
• Dr. V. Ancona, 02/10/2024,Plant-assisted soil clean up technologies.lab.assistant Dr.G. . Gagliardi;
• Prof. J. Sesterhenn, 09/10/2024, Computationalfluid dynamics applications to hydrogen technologies, lab. assistant Dr.G. Agati;
• Prof. F. Gallucci, 18/10/2024, Membrane technologies for intensified hydrogen production, Lab. assistant Dr. O. Palone.
La mattina dalle 9 alle 12 (3h) e il pomeriggio dalle 15 alle 17 (2h)
DESCRIZIONE: a) Bio-electrochemical systems far the generation of electricity and hydrogen from contaminated soils and wastewaters - 5 h (with laboratory exercises); b) Phyto-assisted bioremediation processes for the treatment of contaminated soi/s 3 h; c) Production of syngas through the gasification of biomass from phyto-assisted bioremediation - 4 h; d) Analysis of the final products of the gasification of contaminated biomass: char storage, heavy meta/ separation -3 h (with numerical exercises); e) Syngas cleaning and increase of H2 concentration through catalytic treatments and use of separation membranes- 5 h (with laboratory exercises); f) Production of advanced biofuel (biodiesel ...) and hydrogen from processing contaminated biomass- 3 h (with exercises).
14. MOBILITA' SOSTENIBILE (24H – 4 CREDITI)
Docenti: Vari
DATE E ORARIO: October 2024
• Modulo 1. Inquadramento e introduzione sugli aspetti energetici per una mobilità sostenibile
Data:15/10/2024
Orario:10:00-11:30- Nuovi paradigmi energetici per una mobilità sostenibile (Prof. Luca Cedola, Sapienza Università diRoma)
11:30-13:00 -Introduzione alla modellazione della richiesta energetica (Prof.Francesco Tonini, Politecnico di Milano)
14:00-16:00- Applicazioni della modellazione della domanda energetica al settore ferroviario (Prof.Francesco Tonini, Politecnico di Milano)
• Modulo 2 Sistemi intelligenti per la mobilità sostenibile
Docenti:Prof.Gianluca Pepe, Sapienza Università di Roma
Data: DA DEFINIRE Orario:DA DEFINIRE
• Modulo 3.Sistemi elettrici per il trasporto ferroviario e su gomma
Data: 22/10/2024
Orario: 09:30-11:00- Dimensionamento degli impianti fissi ferroviari (Prof. Alessandro Ruvio, Sapienza Università di Roma)
11:00-12:00- Procedure per il dimensionamento degli impianti fissi ferroviari (Prof.Alessandro Ruvio, Sapienza Università di Roma)
Data: 23/10/2024
Orario:14:00-15:30- Autobus e treni ibridi a batterie e celle a combustibile a idrogeno (Ing. Michele V.Migliarese Caputi, ENEA Casaccia)
15:30-16:30- Simulazione di treni ibridi a batterie e celle a combustibile a idrogeno (Prof.Giuliano Agati, Sapienza Università diRoma)
• Modulo 4. lnnovazjonj tecnologiche per il trasporto su gomma
Data: 29/10/2024
Orario:10:00-13:00- Innovazioni Tecnologiche per il trasporto su gomma (Ing. Fernando Ortenzi, ENEA Casaccia)
Data: 30/10/2024
Luogo: visita Laboratorio TERIN-DEC-MOST presso ENEA Casaccia (Ing. Fernando Ortenzi,ENEA Casaccia; Ing. Michele V. Migliarese Caputi)
DESCRIZIONE: Il corso è articolato in quattro 4 moduli da 5 h ciascuno, il primo dei quali inizierà il 15 ottobre 2024, organizzati in 3h di lezioni frontali la mattina e 2h di applicazioni/esercitazioni il pomeriggio (compatibilmente con la disponibilità dei docenti).