Analisi di SDGs in un progetto di bioenergia: caso studio in Kenya

This study aims to identify and select the SDG indicators suitable for assessing the impacts derived from bioenergy-related projects. In order to make the monitoring as precise as possible, this analysis considers the availability and accessibility of data at both national and sub-national levels. The study was structured in five main chapters, from analyzing the existing literature to identifying the relevant indicators for the impact assessment. In the first chapter, a review of the literature on certification systems is presented, aimed at identifying any shortcomings related to the sustainability assessment and the areas that need more intervention. The second chapter examines the work carried out by Fritsche et al. in 2018 in order to identify the connections between the SDGs and the Global Bioenergy Partnership’s (GBEP) sustainability indicators, well known indicators in the bioenergy field for sustainability assessment. A revision of this work with further additions is also proposed in light of the changes in the Tier classification of SDG metrics. In the third chapter, an application case study in Kenya is presented. This section selects 33 indicators that may be suitable for evaluation and are consistent with the update of Fritsche’s work. The fourth chapter provides a nationwide analysis of the status of sustainable development in Kenya during the 21st century. In this regard, a first basis is proposed using time series graphs to contextualize the subsequent assessment of the impacts, considering data availability. Finally, in chapter five, a sub-national analysis is proposed for the different counties of Kenya; a dataset of subnational indicators is built to allow an impact assessment at the subnational level, which is mapped to observe their incidence in the different geographical areas of Kenya. This thesis as a whole provides a solid basis for future studies and policies aimed at promoting sustainable development in the energy sector while ensuring the well?being of communities and the protection of the environment. However, it emerges that the availability and accessibility of data, especially at the local level, is a significant challenge. This issue represents a need for a more accurate assessment of the impacts of bioenergy production activities at the local level, thus hindering the creation of targeted and policy interventions.