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 elettrolizzatori tipo PEM

Le fonti di energia rinnovabili rappresentano una forma di energia indispensabile al sostentamento dell’attuale sistema produttivo mondiale. L’energia eolica e fotovoltaica ricoprono un ruolo fondamentale nel panorama rinnovabile, e portano con se l’inevitabile svantaggio derivato dall’impossibilita di controllare la fonte primaria di energia. I sistemi di accumulo ed immagazzinamento di energia assumeranno un ruolo strategico nel prossimo scenario energetico, in particolare nell’elaborato viene posta l’attenzione sui sistemi Power-to-Gas. La tecnologia Power-to-Gas consente di produrre gas ad alta potenza specifica (idrogeno o metano sintetico), usando elettricità proveniente da fonti rinnovabili. L’elettrolisi è il metodo più efficiente per convertire energia elettrica in idrogeno. Tra le varie tecnologie, gli elettrolizzatori di tipologia PEM (Proton Exchange Membrane), sono considerati i più adatti all’accoppiamento con fonti di energia rinnovabile, per via della loro risposta alle variazioni di carico e dell’ampio campo di funzionamento. Il lavoro di tesi si concentra sull’analisi delle prestazioni di elettrolizzatori tipo PEM, ed in particolare sull’elettrolizzatore inserito all’interno del “Laboratorio di Microreti di Generazione ed Accumulo” del Tecnopolo di Ravenna. Il laboratorio ha lo scopo di studiare e testare sistemi per la produzione di energia elettrica da fonte rinnovabile e per l’accumulo. L’impianto è costituito principalmente da due pannelli fotovoltaici con il compito di produrre energia, due batterie per accumulare l’energia prodotta dai pannelli, un elettrolizzatore e tre bombole a idruri metallici per lo stoccaggio di idrogeno. Dai dati sperimentali ottenuti dalle prove in laboratorio si è ricavato un modello matematico black-box dell’elettrolizzatore. Il modello gestisce le equazioni della curva caratteristica (P;η). In seguito il modello ottenuto è stato confrontato con un caso analogo presente in letteratura.

Studio di catalizzatori a base di Ni modificati con La per la metanazione della CO2

Le emissioni di CO2 in atmosfera da fonti antropogeniche sono attualmente la principale causa del surriscaldamento globale. Tecnologie sostenibili note come Power-to-gas, consentono di valorizzare la CO2, per la produzione di metano, mediante reazione con H2 proveniente dall’elettrolisi dell’acqua, utilizzando energia prodotta da fonti rinnovabili. Il metano, essendo un vettore energetico molto importante, se possiede requisiti di purezza adeguati, può essere introdotto direttamente nella rete del gas. In questo lavoro di tesi sono state investigate le prestazioni catalitiche, nella reazione di metanazione della CO2, di catalizzatori derivati da composti tipo idrotalcite a base di Ni, modificati con La, e con l’aggiunta di Mg e Zn. I catalizzatori sono stati sintetizzati per coprecipitazione a pH costante, calcinati e ridotti prima di condurre le prove catalitiche. Sono stati inoltre caratterizzati mediante tecniche XRD, H2-TPR, analisi porosimetrica e spettroscopia micro-Raman, sia da calcinati che da spenti. I risultati ottenuti dalle prove catalitiche hanno dimostrato che la presenza del La in un catalizzatore Ni/Al aumenta notevolmente l’attività in termini di conversione di CO2 e selettività in CH4, soprattutto a temperature tra 250 e 300°C. L’aggiunta dello Zn nella struttura ad ossidi misti invece ne inibisce l’attività catalitica, portando ad una diminuzione drastica della conversione e selettività. La presenza del Mg promuove una migliore attività catalitica, rispetto ai catalizzatori con solo La, ma necessita di una temperatura di riduzione più elevata.

Valutazione del contributo emissivo in condizioni non-stazionarie alle emissioni totali di una stufa a pellet domestica

The aim of this work is to evaluate the emissions of the main pollutants of a pellet stove, by trying to simulate the real use in domestic operations. All the operating phases of this system were considered: ignition, partial load, increase in power, and nominal load. In each phase, quantity and type of some pollutants in emissions were determined: the main pollutant gases (CO, NOx, SO2, H2S and volatile organic compounds (VOCs)), total dust (PM) and its content of polycyclic aromatic hydrocarbons (PAHs), regulated heavy metals (Ni, Cd, As and Pb), main soluble ions and Total Carbon (TC). Results show that emission factors of TSP, CO, and of the main determined pollutants (TC, Cd and PAHs) are higher during ignition phase. In particular, this phase prevalently contributes to PAHs emissions. During increase in power phase, gas and particulate emissions do not appreciably differ from nominal load ones; nevertheless, PAH emission factors are higher than steady state ones, but lower than ignition phase. Moreover, during not-steady state phases, PAH mixture is more toxic than during steady state phases. In conclusion, this study allowed to go deeper in pellet stove environmental impact, by pointing out how the different operating conditions can modify the emissions. These are different from certificated data, which are based exclusively on measurements in steady state conditions.

Scalable and Seamless Discovery and Selection of Services in Mobile Cloud Computing

Mobile devices are now capable of supporting a wide range of applications, many of which demand an ever increasing computational power. To this end, mobile cloud computing (MCC) has been proposed to address the limited computation power, memory, storage, and energy of such devices. An important challenge in MCC is to guarantee seamless discovery of services. To this end, this thesis proposes an architecture that provides user-transparent and low-latency service discovery, as well as automated service selection. Experimental results on a real cloud computing testbed demonstrated that the proposed work outperforms state of-the-art approaches by achieving extremely low discovery delay.

SmartForge: An event-driven architecture for simulator-based process optimization

In the metal industry, and more specifically in the forging one, scrap material is a crucial issue and reducing it would be an important goal to reach. Not only would this help the companies to be more environmentally friendly and more sustainable, but it also would reduce the use of energy and lower costs. At the same time, the techniques for Industry 4.0 and the advancements in Artificial Intelligence (AI), especially in the field of Deep Reinforcement Learning (DRL), may have an important role in helping to achieve this objective. This document presents the thesis work, a contribution to the SmartForge project, that was performed during a semester abroad at Karlstad University (Sweden). This project aims at solving the aforementioned problem with a business case of the company Bharat Forge Kilsta, located in Karlskoga (Sweden). The thesis work includes the design and later development of an event-driven architecture with microservices, to support the processing of data coming from sensors set up in the company's industrial plant, and eventually the implementation of an algorithm with DRL techniques to control the electrical power to use in it.

Design of an indirectly fired gas turbine integrated with an organic rankine cycle unit for combined heat and power production

In the last years, the European countries have paid increasing attention to renewable sources and greenhouse emissions. The Council of the European Union and the European Parliament have established ambitious targets for the next years. In this scenario, biomass plays a prominent role since its life cycle produces a zero net carbon dioxide emission. Additionally, biomass can ensure plant operation continuity thanks to its availability and storage ability. Several conventional systems running on biomass are available at the moment. Most of them are performant either in the large-scale or in the small power range. The absence of an efficient system on the small-middle scale inspired this thesis project. The object is an innovative plant based on a wet indirectly fired gas turbine (WIFGT) integrated with an organic Rankine cycle (ORC) unit for combined heat and power production. The WIFGT is a performant system in the small-middle power range; the ORC cycle is capable of giving value to low-temperature heat sources. Their integration is investigated in this thesis with the aim of carrying out a preliminary design of the components. The targeted plant output is around 200 kW in order not to need a wide cultivation area and to avoid biomass shipping. Existing in-house simulation tools are used: They are adapted to this purpose. Firstly the WIFGT + ORC model is built; Zero-dimensional models of heat exchangers, compressor, turbines, furnace, dryer and pump are used. Different fluids are selected but toluene and benzene turn out to be the most suitable. In the indirectly fired gas turbine a pressure ratio around 4 leads to the highest efficiency. From the thermodynamic analysis the system shows an electric efficiency of 38%, outdoing other conventional plants in the same power range. The combined plant is designed to recover thermal energy: Water is used as coolant in the condenser. It is heated from 60°C up to 90°C, ensuring the possibility of space heating. Mono-dimensional models are used to design the heat exchange equipment. Different types of heat exchangers are chosen depending on the working temperature. A finned-plate heat exchanger is selected for the WIFGT heat transfer equipment due to the high temperature, oxidizing and corrosive environment. A once-through boiler with finned tubes is chosen to vaporize the organic fluid in the ORC. A plate heat exchanger is chosen for the condenser and recuperator. A quasi-monodimensional model for single-stage axial turbine is implemented to design both the WIFGT and the ORC turbine. The system simulation after the components design shows an electric efficiency around 34% with a decrease by 10% compared to the zero-dimensional analysis. The work exhibits the system potentiality compared to the existing plants from both technical and economic point of view.