Dipartimento di Ingegneria Meccanica, Energetica e Gestionale

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Fattibilità tecnica, sostenibilità ambientale ed economica di un piccolo impianto di digestione anaerobica installato in Calabria
(Università della Calabria, 2021-11-09) Segreto, Marco; Critelli, Salvatore; Pinnarelli, Anna Ketty; Petracchini, Francesco
Modellazione Numerica per l’ottimizzazione multi-obiettivo di sistemi in assetto co- e tri-generativo
(Università della Calabria, 2022-07-08) Lucarelli, Giuseppe; Conte, Enrico; Fragiacomo, Petronilla
Studio delle tecnologie di localizzazione acustica subacquea e sviluppo di tecniche per la riduzione dell'errore di posizione
(Università della Calabria, 2023-02-08) Aiello, Rosario; Conte, Enrico; Bruno, Fabio
The Role of Physics Based Modeling of Macro/Micro Machining Operations in the Era of Electric Vehicles Revolution
(Università della Calabria, 2021-05-28) Rinaldi, Sergio; Conte, Enrico; Umbrello, Domenico
Quantitative approaches for the integrated management of agri-food supply chains
(Università della Calabria, 2021-06-10) Solina, Vittorio; Conte, Enrico; Mirabelli, Giovanni
In recent years, the development of global markets and higher expectations from end customers have forced the supply chain players to better coordinate and integrate their plans, in order to maintain high levels of performance and be competitive on the market. Today, in fact, companies compete not only on product price or quality, but also on the reliability and timeliness of deliveries. Managing a supply chain in an integrated and coordinated manner is even more complicated and challenging, with reference to the agri-food context, where the constraints about quality and safety of goods, that are usually perishable, are much more stringent than in other sectors. By coordinating the various activities, it is possible to make supply chains more efficient and sustainable, as products can be made and distributed in the right quantity, at the right time and to the right customer. In support of integrated planning, new technologies are recently spreading, with the aim of making the sharing of data and information between the various actors safe and efficient. In this regard, the blockchain is among those technologies, whose interest has grown the most in recent months, both from the academic and business world. The present dissertation mainly aims to develop, test and validate novel quantitative approaches for the integrated management of agri-food chains. • In Chapter 2, a review of the main scientific works published in the last 15 years is proposed, referring to the integration of production, storage and distribution activities, via optimization strategies, within perishable supply chains. In this context, in order to identify effectively the different research gaps and to suggest possible future challenges, a five-dimension classification framework is proposed. This review is the starting point for the following 3 chapters, which address as many case studies. • In Chapter 3, an optimization model is designed for the simultaneous management of the storage and distribution of agricultural products. It is used to maximize the profits of a real company, which deals with the planting, growing, harvesting, storage and distribution of cauliflowers to a main customer and to spot customers. A hybrid fresh-/old-first inventory management policy is modeled to balance the quality of the delivered product and limit the amount wasted. The model improves the current practices of the firm and supports effectively the day-to-day decisionmaking regarding the quantities of product, for each age, to be stored and distributed to each customer. • In Chapter 4, a model is instead developed and tested to integrate the activities of production (i.e., harvesting), storage, distribution and routing of perishable agri-products. The case study refers to two companies, located in Southern Italy. At the tactical level, the proposed model determines the optimal value of two important operating parameters: the frequency of the harvesting activities and the service level to be guaranteed to customers. At the operational level, instead, the model is a valid tool to suggest to the company, day-to-day, the optimal quantities to harvest, store, distribute, and the routes to travel to reach customers, in order to maximize profits and contain waste. In this context, considering that the companies of the case study share some customers and are not in competition, as they are heterogeneous in terms of marketed products, the possibility of horizontal collaboration is also explored. The collaboration, as intended in this Chapter, implies that one of the two actors makes its own fleet of vehicles available, in exchange for a fee. In this context, a heuristic framework is proposed and validated. It suggests collaborating day by day, only if collaboration is economically convenient for both the companies. Computational tests, carried out on randomly generated instances, reveal that the collaboration can guarantee significant savings in terms of CO2 emissions and therefore make the supply chain more sustainable. • Chapter 5 deals with the integration of the production, storage and distribution activities of a company in the vegetable sector. In the production field, a scheduling problem is solved, which takes into account the set-up times of the production line, the hourly fluctuations in the energy price and the perishable nature of raw materials. In the distribution field, instead, it is necessary to schedule deliveries in terms of quantity of shipped products and days. The proposed model allows to schedule both production and distribution in an integrated way. Two rescheduling strategies are tested, to adequately react to customer demand, which occurs on a weekly basis. The first reproduces the current behavior of the company, while the second allows to improve current practices and jointly minimize the costs of energy, storage and distribution. • In Chapter 6, considering the recent proliferation of scientific works on the theoretical or practical use of blockchain technology in the agri-food sector, a literature review on this topic is proposed. This tool, since it allows the real-time sharing of information between the various players in the supply chain in a safe and efficient way, can facilitate the coordination of production and distribution plans, which is the main subject of the previous chapters of this thesis work. The aim is to identify current research trends and inform the reader about the degree
Towards the Clean Energy Building Community: multi-objective optimization of photovoltaic-wind-battery assisted heat pump systems in the presence of electric vehicle charging stations
(Università della Calabria, 2021-06-10) Matera, Nicoletta; Conte, Enrico; Oliveti, Giuseppe; Mazzeo, Domenico
La tesi di dottorato si propone di analizzare l'abbinamento di sistemi ibridi rinnovabili con sistemi di accumulo al fine di mitigare l’incertezza e l’intermittenza di tali risorse e, quindi, di raggiungere una maggiore affidabilità nel soddisfare il carico richiesto e ridurre l'energia in eccesso. La ricerca si è focalizzata sullo studio di una “Comunità a Energia Pulita” in cui sistemi ibridi tri-generativi composti da sistemi eolici, fotovoltaici, di accumulo e pompe di calore sono impiegati per la produzione di energia elettrica ed energia termica “calda” e “fredda” per la climatizzazione degli edifici, per fornire elettricità a distretti di edifici residenziali o di uffici e per alimentare stazioni di ricarica dei veicoli elettrici. Viene fornite una panoramica e un database matriciale aggiornabile dei 550 articoli scientifici più rilevanti nella letteratura scientifica pubblicati nel periodo 1995-2020, propone diversi strumenti di dimensionamento e previsione delle performance della comunità a servizio dei progettisti e dei legislatori. Sonpo state considerate, tenendo conto degli aspetti energetici, economici e ambientali: • diverse applicazioni; • varie configurazioni di impianto stand-alone e grid-connected (con e senza batterie di accumulo, con e senza sistemi eolici, con e senza sistemi fotovoltaici, con e senza pompe di calore e con e senza stazioni di ricarica di veicoli elettrici); • differenti condizioni di carico e località nel mondo. Le procedure proposte si basano su analisi dinamiche e sul confronto sistematico e l’ottimizzazione di opportuni indicatori di performance, per individuare le migliori condizioni climatiche nel mondo e profili di carico e per determinare l'affidabilità energetica del sistema, oltre che la massima convenienza economica e il massimo abbattimento di emissioni inquinanti. Infine, il consistente database creato è stato impiegato per creare un tool per il dimensionamento e per la previsione delle performance della comunità ad energia pulita impiegando tecniche di intelligenza artificiale basate sulle reti neurali artificiali. Il tool previsionale è applicabile ad una qualsiasi comunità ad energia pulita, con una qualsiasi potenza nominale installata, senza limitazioni geografiche, da implementare potenzialmente in qualsiasi località del mondo, e abbinabile a qualsiasi andamento di carico. Lo strumento, inoltre, con pochi dati annuali in input è in grado di determinare direttamente le prestazioni annuali della comunità senza eseguire alcuna simulazione dinamica ottenendo risultati molto accurati quanto quelli derivanti da simulazioni orarie.

Dipartimento di Ingegneria Meccanica, Energetica e Gestionale - Tesi di Dottorato

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