Life Cycle Assessment of Peach Nectar: a comparative analysis between conventional and bioenergy-from-waste integrated food chains

Modern food systems are characterized by a high energy intensity as well as by the production of large amounts of waste, residuals and food losses. This inefficiency presents major consequences, in terms of GHG emissions, waste disposal, and natural resource depletion. The research hypothesis is that residual biomass material could contribute to the energetic needs of food systems, if recovered as an integrated renewable energy source (RES), leading to a sensitive reduction of the impacts of food systems, primarily in terms of fossil fuel consumption and GHG emissions. In order to assess these effects, a comparative life cycle assessment (LCA) has been conducted to compare two different food systems: a fossil fuel-based system and an integrated system with the use of residual as RES for self-consumption. The food product under analysis has been the peach nectar, from cultivation to end-of-life. The aim of this LCA is twofold. On one hand, it allows an evaluation of the energy inefficiencies related to agro-food waste. On the other hand, it illustrates how the integration of bioenergy into food systems could effectively contribute to reduce this inefficiency. Data about inputs and waste generated has been collected mainly through literature review and databases. Energy balance, GHG emissions (Global Warming Potential) and waste generation have been analyzed in order to identify the relative requirements and contribution of the different segments. An evaluation of the energy “loss” through the different categories of waste allowed to provide details about the consequences associated with its management and/or disposal. Results should provide an insight of the impacts associated with inefficiencies within food systems. The comparison provides a measure of the potential reuse of wasted biomass and the amount of energy recoverable, that could represent a first step for the formulation of specific policies on the integration of bioenergies for self-consumption.

Ocratossina A, metalli, insetticidi e fitoestratti: valutazione degli effetti e degli aspetti residuali nel pollame e in alimenti destinati all'uomo.

La presente tesi di Dottorato di Ricerca descrive le attività di ricerca riguardanti diversi ambiti della sicurezza alimentare, della farmacologia e tossicologia veterinaria. Sono presentati i dati relativi alla ricerca di ocratossina A (OTA) in campioni di bile, rene e fegato di polli, salami artigianali e diversi tipi di formaggio; le concentrazioni di diversi metalli pesanti in uova di galline rurali e 5 tipologie di uova industriali; i dati preliminari ottenuti dalle analisi dei primi campioni di uova e penne provenienti da allevamenti amatoriali di pollame, analizzati per la ricerca del fipronil e metaboliti. Sempre per fipronil, e la molecola foxim, sono presentati dati inerenti a studi di potenziale farmaco-resistenza di popolazioni naturali di Dermanyssus gallinae, e dell’attività insetticida di alcuni fitocomposti a base di tannini. Riguardo all’uso di fitoestratti, sono presentati i dati preliminari ottenuti nei primi mesi di una prova sperimentale in galline di razza Livornese allevata con metodo free-range, finalizzata allo studio della attività anti-infiammatoria e immuno-stimolante, nonché alla valutazione della sicurezza della integrazione nella dieta di Boswellia serrata e Salix alba. Sono stati condotti anche studi traslazionali con altri settori scientifici, relativamente la prevalenza sierologica e microbiologica per Salmonella enterica var. enteritidis e var. thiphymurium in allevamenti ornamentali e da auto-consumo di pollame, e di prevalenza e caratterizzazione di potenziali varianti virali e batteriche (incluse zoonosiche) di alcune malattie infettive del pollame ornamentale. In specie avicole ornamentali è riportato anche uno studio di campo sul trattamento off-label con Fenbendazolo e Flubendazolo in infestazioni massive da Cyathostoma bronchialis in oche esotiche ornamentali. A seguito di una collaborazione con l’Università di Firenze, sono presentati anche i risultati ottenuti da uno studio su modelli murini, dell’azione e funzionamento dei recettori Beta3, espressi nelle neoplasie più frequenti che si verificano nelle donne in gravidanza.

Power flow forecasting and smart charging for electric vehicle charging systems with photovoltaic integration

An essential role in the global energy transition is attributed to Electric Vehicles (EVs) the energy for EV traction can be generated by renewable energy sources (RES), also at a local level through distributed power plants, such as photovoltaic (PV) systems. However, EV integration with electrical systems might not be straightforward. The intermittent RES, combined with the high and uncontrolled aggregate EV charging, require an evolution toward new planning and paradigms of energy systems. In this context, this work aims to provide a practical solution for EV charging integration in electrical systems with RES. A method for predicting the power required by an EV fleet at the charging hub (CH) is developed in this thesis. The proposed forecasting method considers the main parameters on which charging demand depends. The results of the EV charging forecasting method are deeply analyzed under different scenarios. To reduce the EV load intermittency, methods for managing the charging power of EVs are proposed. The main target was to provide Charging Management Systems (CMS) that modulate EV charging to optimize specific performance indicators such as system self-consumption, peak load reduction, and PV exploitation. Controlling the EV charging power to achieve specific optimization goals is also known as Smart Charging (SC). The proposed techniques are applied to real-world scenarios demonstrating performance improvements in using SC strategies. A viable alternative to maximize integration with intermittent RES generation is the integration of energy storage. Battery Energy Storage Systems (BESS) may be a buffer between peak load and RES production. A sizing algorithm for PV+BESS integration in EV charging hubs is provided. The sizing optimization aims to optimize the system's energy and economic performance. The results provide an overview of the optimal size that the PV+BESS plant should have to improve whole system performance in different scenarios.