Agent-based simulation for renewable energy incentive design

Iachini, Valerio (2014) Agent-based simulation for renewable energy incentive design. [Laurea magistrale], Università di Bologna, Corso di Studio in Ingegneria informatica [LM-DM270]
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In this thesis, we propose a novel approach to model the diffusion of residential PV systems. For this purpose, we use an agent-based model where agents are the families living in the area of interest. The case study is the Emilia-Romagna Regional Energy plan, which aims to increase the produc- tion of electricity from renewable energy. So, we study the microdata from the Survey on Household Income and Wealth (SHIW) provided by Bank of Italy in order to obtain the characteristics of families living in Emilia-Romagna. These data have allowed us to artificial generate families and reproduce the socio-economic aspects of the region. The families generated by means of a software are placed on the virtual world by associating them with the buildings. These buildings are acquired by analysing the vector data of regional buildings made available by the region. Each year, the model determines the level of diffusion by simulating the installed capacity. The adoption behaviour is influenced by social interactions, household’s economic situation, the environmental benefits arising from the adoption and the payback period of the investment.

Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Iachini, Valerio
Relatore della tesi
Corso di studio
Ordinamento Cds
Parole chiave
ABM simulator Agent Agent-based model
Data di discussione della Tesi
11 Dicembre 2014

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