|Tipo di tesi
|Tesi di laurea magistrale
|Simbiosi Energetica tramite Scambio Interaziendale, Risorse di Energia Rinnovabile e Sistemi di Accumulo Energetico: Sviluppo, Implementazione e Progettazione di uno Strumento Decisionale
|Titolo in inglese
|Energy Symbiosis via Inter-Firms Exchanges, Renewable Energy Sources and Battery Energy Storage Systems: Development, Implementation and Decision-Making Tool Design
|Dipartimento di Scienze e Metodi dell'Ingegneria
|Corso di studi
|INGEGNERIA GESTIONALE (D.M.270/04)
|Data inizio appello
|Accessibile via web (tutti i file della tesi sono accessibili)
A causa dell'elettrificazione di economie emergenti e diversi mercati, i quali rivendicano una massiccia produzione di energia, è obbligatorio guardare ai settori più impattanti ed energivori al fine di ridurre gli sprechi energetici e il sottoutilizzo. Di recente, fattori geopolitici hanno spinto verso una ricalibrazione del mix energetico europeo.
Due to emerging economies and several markets electrification, which claim for massive energy production, it is mandatory to look at nowadays most impactful and energy-consuming sectors in order to cut energy waste and underutilization. Recently, geopolitical factors have pushed towards a recalibration of the European energy mix. Small-Medium Enterprises usually encounter technical and overwhelming financial constraints. In the last few years, there has been increasing private and public interest in Eco-Industrial Parks, a suitable strategy to facilitate advantageous exchanges among various organizations through Industrial Symbiosis. This new type of industrial district can give an untried opportunity to cooperate, invest in renewable energy sources, and form alliances. Despite its academic success in waste-water and waste-heat management, Electricity-based Industrial Symbiosis still clashes with strict technological and methodological barriers. The study presents an original Mixed-Integer Linear Programming optimization model executed on Xpress Workbench. This tool reveals possible inter-firm exchanges and introduces renewable and battery energy storage systems during a one-year simulation. It does this by targeting economic and ecological objectives concurrently. Research on the Sicilian electrical market and an Indian photovoltaic system have been carried out for testing the model. Key Performance Indicators will finally help compare two case studies: with and without battery support. Furthermore, this thesis offers a policymaker tool for analyzing exogenous and endogenous parameters and making scenario-driven decisions about funding sources. Factorial analysis and a randomized experiment have been carried out to train a decision tree classification that discriminates extremely from moderately desirable scenarios. The investigation takes advantage of the previous model and R's Machine Learning packages.