The transport sector is responsible for a significant amount of global carbon emissions, and several policies are being implemented at different levels to reduce its impact. To properly assess the effectiveness of planned measures, analysts often rely on average emission factors for different transport modes. However, average values often hide significant variability that stems from factors along the entire supply chain of transport modes. This review presents a comprehensive overview of research on this topic, comparing emission factors for different passenger transport modes and discussing the main drivers and parameters that affect their variability. The results are useful for researchers and policymakers to properly understand the reliability of carbon intensity indicators when evaluating the impact and effectiveness of sustainable transport policies.

A multi-objective optimization analysis to assess the potential economic and environmental benefits of distributed storage in district heating networks: a case study / Roberto, Roberta; De Iulio, Raffaele; Di Somma, Marialaura; Graditi, Giorgio; Guidi, Giambattista; Noussan, Michel. - In: INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY PLANNING AND MANAGEMENT. - ISSN 2246-2929. - ELETTRONICO. - 20:(2019), pp. 5-20. [10.5278/ijsepm.2019.20.2]

A multi-objective optimization analysis to assess the potential economic and environmental benefits of distributed storage in district heating networks: a case study

Michel Noussan
2019

Abstract

The transport sector is responsible for a significant amount of global carbon emissions, and several policies are being implemented at different levels to reduce its impact. To properly assess the effectiveness of planned measures, analysts often rely on average emission factors for different transport modes. However, average values often hide significant variability that stems from factors along the entire supply chain of transport modes. This review presents a comprehensive overview of research on this topic, comparing emission factors for different passenger transport modes and discussing the main drivers and parameters that affect their variability. The results are useful for researchers and policymakers to properly understand the reliability of carbon intensity indicators when evaluating the impact and effectiveness of sustainable transport policies.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2978605