Studio del comportamento in off-design di un sistema di accumulo energetico di tipo Power to Gas

Studio del comportamento in off-design di un sistema di accumulo energetico di tipo Power to Gas

Analisi delle prestazioni di un impianto cogenerativo a biomassa

Studio del funzionamento in off - design dei due motori a combustione interna alimentati ad olio vegetale presenti all'interno dell'impianto cogenerativo a biomassa.

Analisi sperimentale del funzionamento di un sistema micro-ORC

Questa tesi tratta nello specifico lo studio di un impianto micro-ORC, capace di sfruttare acqua alla temperatura di circa 70-90°C come sorgente termica. Questo sistema presenta una potenza dichiarata dal costruttore pari a 3kW e un rendimento del 9%. In primo luogo, si descrivono le caratteristiche principali dei fluidi organici, in particolare quelle del freon R134a, impiegato nel banco prova. Vengono illustrati dettagliatamente l’impianto e la sensoristica utilizzata per le misurazioni delle varie grandezze fisiche. Tramite esse, con l’utilizzo di un programma di acquisizione dati appositamente relizzato in ambiente LabVIEW, è stato possibile calcolare in tempo reale tutti i parametri di funzionamento, necessari per la caratterizzazione del sistema. Per una veloce ed efficiente elaborazione dei dati registrati durante le prove in laboratorio, è stato realizzato un programma in linguaggio VBA. L’utilizzo di questo codice ha permesso, in primo luogo, di individuare e correggere eventuali errori di calcolo e acquisizione presenti in ambiente LabVIEW e, in secondo luogo, si è reso indispensabile per comprendere il funzionamento dell’impianto nelle varie fasi, come accensione, spegnimento e produzione di potenza. Sono state inoltre identificate le modalità di risposta del sistema al variare dei comandi impostabili dall’utente, quali il numero di giri della pompa e la variazione della temperatura della sorgente calda. Si sono poi osservate le risposte del sistema al variare delle condizioni esterne, come ad esempio la temperatura dell’acqua di condensazione. Una specifica prova è stata analizzata in questo elaborato. Durante tale prova il sistema ha lavorato in forte off-design, erogando una potenza elettrica pari a 255 W, raggiungendo un basso valore del rendimento (pari a 1.8%). L’analisi dei dati ha portato ad identificare nuovi limiti di funzionamento, legati ad esempio alla quantità di fluido interna al sistema.

Analisi del rendimento di sistemi micro ORC di tipo sperimentale

In questo lavoro si analizza il rendimento isoentropico di diversi espansori adottati all’interno di sistemi micro-ORC (Organic Rankine Cycle). Si parte da una descrizione generale dei sistemi ORC, mettendone in evidenza le principali caratteristiche, il layout tipico, le differenze rispetto ad un ciclo Rankine tradizionale, e gli ambiti di utilizzo. Si procede ad una trattazione teorica del rendimento isoentropico del compressore e dell’espansore, specificando le ipotesi adottate nei calcoli e mettendo in luce la relazione tra rendimento isoentropico e politropico nell’uno e nell’altro apparato. Si passa poi alla descrizione delle quattro principali tipologie di espansori presenti in letteratura: scroll, screw, vane e piston, e si prosegue con l'analisi nel dettaglio della letteratura relativa alla valutazione dell’efficienza di questi quando utilizzati all’interno di un sistema micro-ORC. Infine, dopo aver descritto il sistema ORC del laboratorio di via Terracini del DIN, illustrandone layout, componenti principali, potenza scambiata all’interno dei componenti e modalità di calcolo adottata per la valutazione del rendimento isoentropico dell’espansore e del sistema complessivo, si confrontano i dati di efficienza di questo con quelli reperiti in letteratura. Il confronto del rendimento, dell'espansore e complessivo, del sistema del DIN, 33.8% e 1,818% rispettivamente, con quelli degli altri sistemi, è risultato di difficilmente valutazione a causa delle condizioni di forte off-design del sistema stesso. Dalla ricerca è inoltre emerso che i fluidi più utilizzati nella sperimentazione, e dunque capaci di migliori prestazioni, sono R245fa, R134a e R123. Per quel che riguarda infine gli espansori, nel range di potenza di 1-10 kW, lo scroll risulta essere il migliore.

Design and implementation of a non-destructive defect detection technique based on UWB-SAR imaging

In the last twenty years aerospace and automotive industries started working widely with composite materials, which are not easy to test using classic Non-Destructive Inspection (NDI) techniques. Pairwise, the development of safety regulations sets higher and higher standards for the qualification and certification of those materials. In this thesis a new concept of a Non-Destructive defect detection technique is proposed, based on Ultrawide-Band (UWB) Synthetic Aperture Radar (SAR) imaging. Similar SAR methods are yet applied either in minefield [22] and head stroke [14] detection. Moreover feasibility studies have already demonstrated the validity of defect detection by means of UWB radars [12, 13]. The system was designed using a cheap commercial off-the-shelf radar device by Novelda and several tests of the developed system have been performed both on metallic specimen (aluminum plate) and on composite coupon (carbon fiber). The obtained results confirm the feasibility of the method and highlight the good performance of the developed system considered the radar resolution. In particular, the system is capable of discerning healthy coupons from damaged ones, and correctly reconstruct the reflectivity image of the tested defects, namely a 8 x 8 mm square bulge and a 5 mm drilled holes on metal specimen and a 5 mm drilled hole on composite coupon.

Task analysis for HMI design. Level of automation study of aircraft navigation functions

Advancements in technology have enabled increasingly sophisticated automation to be introduced into the flight decks of modern aircraft. Generally, this automation was added to accomplish worthy objectives such as reducing flight crew workload, adding additional capability, or increasing fuel economy. Automation is necessary due to the fact that not all of the functions required for mission accomplishment in today’s complex aircraft are within the capabilities of the unaided human operator, who lacks the sensory capacity to detect much of the information required for flight. To a large extent, these objectives have been achieved. Nevertheless, despite all the benefits from the increasing amounts of highly reliable automation, vulnerabilities do exist in flight crew management of automation and Situation Awareness (SA). Issues associated with flight crew management of automation include: • Pilot understanding of automation’s capabilities, limitations, modes, and operating principles and techniques. • Differing pilot decisions about the appropriate automation level to use or whether to turn automation on or off when they get into unusual or emergency situations. • Human-Machine Interfaces (HMIs) are not always easy to use, and this aspect could be problematic when pilots experience high workload situations. • Complex automation interfaces, large differences in automation philosophy and implementation among different aircraft types, and inadequate training also contribute to deficiencies in flight crew understanding of automation.

LQG control policy design against agent identity privacy problem

This thesis project studies the agent identity privacy problem in the scalar linear quadratic Gaussian (LQG) control system. For the agent identity privacy problem in the LQG control, privacy models and privacy measures have to be established first. It depends on a trajectory of correlated data rather than a single observation. I propose here privacy models and the corresponding privacy measures by taking into account the two characteristics. The agent identity is a binary hypothesis: Agent A or Agent B. An eavesdropper is assumed to make a hypothesis testing on the agent identity based on the intercepted environment state sequence. The privacy risk is measured by the Kullback-Leibler divergence between the probability distributions of state sequences under two hypotheses. By taking into account both the accumulative control reward and privacy risk, an optimization problem of the policy of Agent B is formulated. The optimal deterministic privacy-preserving LQG policy of Agent B is a linear mapping. A sufficient condition is given to guarantee that the optimal deterministic privacy-preserving policy is time-invariant in the asymptotic regime. An independent Gaussian random variable cannot improve the performance of Agent B. The numerical experiments justify the theoretic results and illustrate the reward-privacy trade-off. Based on the privacy model and the LQG control model, I have formulated the mathematical problems for the agent identity privacy problem in LQG. The formulated problems address the two design objectives: to maximize the control reward and to minimize the privacy risk. I have conducted theoretic analysis on the LQG control policy in the agent identity privacy problem and the trade-off between the control reward and the privacy risk.Finally, the theoretic results are justified by numerical experiments. From the numerical results, I expected to have some interesting observations and insights, which are explained in the last chapter.

Design and implementation of an optimal motion cueing algorithm for the Stuttgart Driving Simulator

Driving simulators emulate a real vehicle drive in a virtual environment. One of the most challenging problems in this field is to create a simulated drive as real as possible to deceive the driver's senses and cause the believing to be in a real vehicle. This thesis first provides an overview of the Stuttgart driving simulator with a description of the overall system, followed by a theoretical presentation of the commonly used motion cueing algorithms. The second and predominant part of the work presents the implementation of the classical and optimal washout algorithms in a Simulink environment. The project aims to create a new optimal washout algorithm and compare the obtained results with the results of the classical washout. The classical washout algorithm, already implemented in the Stuttgart driving simulator, is the most used in the motion control of the simulator. This classical algorithm is based on a sequence of filters in which each parameter has a clear physical meaning and a unique assignment to a single degree of freedom. However, the effects on human perception are not exploited, and each parameter must be tuned online by an engineer in the control room, depending on the driver's feeling. To overcome this problem and also consider the driver's sensations, the optimal washout motion cueing algorithm was implemented. This optimal control-base algorithm treats motion cueing as a tracking problem, forcing the accelerations perceived in the simulator to track the accelerations that would have been perceived in a real vehicle, by minimizing the perception error within the constraints of the motion platform. The last chapter presents a comparison between the two algorithms, based on the driver's feelings after the test drive. Firstly it was implemented an off-line test with a step signal as an input acceleration to verify the behaviour of the simulator. Secondly, the algorithms were executed in the simulator during a test drive on several tracks.