Developing a temperature risk model for climate resilience in infrastructure: the ESA4 project case study

Previtali, Davide (2024) Developing a temperature risk model for climate resilience in infrastructure: the ESA4 project case study. [Laurea magistrale], Università di Bologna, Corso di Studio in Greening energy market and finance [LM-DM270], Documento full-text non disponibile
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Abstract

Chapter 1 presents a comprehensive review of the literature regarding the current state and future trends of the climate, with particular attention paid to climate-related risks for infrastructures. Chapter 2 presents a comprehensive analysis of the methods through which infrastructure can be made sustainable and adapted to the effects of climate change, while also serving to mitigate its impact. The Envision Protocol, a recognised sustainability rating system for infrastructure projects, is the focus of this analysis. Chapter 3 presents a general study of the ESA4 project, which was the subject of my curricular internship, focusing on the analysis of the project documentation [1] to synthesise and extract key points. This chapter initially presents the project’s context, including the underlying necessities and conditions that led to its development. Subsequently, the chap- ter delineates the stakeholder engagement process and the constitution of working groups. Thereafter, the chapter examines the project’s sustainability objectives, elucidating its methods for addressing climate change challenges. In this context, particular attention is given to the issue raised in Chapter 4, in which the effectiveness of sustainable investments for climate mitigation and adaptation, is evaluated through a scenario analysis. This is done on the basis of temperature-related risks.

Abstract
Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Previtali, Davide
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
CLIMATE&BUSINESS SCIENCE
Ordinamento Cds
DM270
Parole chiave
Temperature-related risk, climate change, infrastructures, project management, monte carlo analysis, utility functions, time series modelling
Data di discussione della Tesi
30 Ottobre 2024
URI

Altri metadati

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