Contribution to the environmental impact assessment of biodiesel in the context of Spain

  1. Escobar Lanzuela, Neus
Dirixida por:
  1. María Nieves Sanjuán Pellicer Director
  2. Gabriela Clemente Polo Director

Universidade de defensa: Universitat Politècnica de València

Fecha de defensa: 04 de xuño de 2015

Tribunal:
  1. Francesc Castells Piqué Presidente/a
  2. Gumersindo Feijoo Costa Secretario
  3. João Manuel Nogueira Malça de Matos Ferreira Vogal

Tipo: Tese

Resumo

In the last decade, there has been an increase in demand for biofuels, fostered by public policies. In the European Union, Directive 2009/28/EC (RED) establishes a 10% target for renewable energy use in the transport sector by 2020, in order to reduce overall greenhouse gas (GHG) emissions. In view of the land use change (LUC) that has recently occurred on a global scale as a consequence of bioenergy expansion, environmental considerations are more frequently incorporated into biofuel policies in order to promote only those biofuels delivering substantial GHG savings. The aim of the present thesis has been to analyze the environmental effects of the introduction of biodiesel for transport in the context of Spain, by applying different methodologies under a life cycle perspective, in order to address controversial issues, such as indirect LUC. First of all, the environmental and economic benefits brought about by an integrated process for waste management have been analyzed; biodiesel is obtained from the treatment of used cooking oil (UCO). The evaluation of the environmental performance has been carried out by means of the Life Cycle Assessment (LCA) methodology, while the financial assessment has been performed by applying a Life Cycle Costing (LCC). Both methodologies are based on a holistic approach and are crucial for a more thorough understanding of the sustainability of the proposed system. The combined study shows that the process has the potential to cause significant environmental benefits (subject to methodological assumptions), but this comes at the expense of the profits generated when the analysis is carried out from a municipal point of view. LCA has been subsequently applied to different systems for biodiesel production under a consequential approach, as the way to measure indirect effects. There are different methodologies to carry out a consequential LCA, and all of them require the application of economic concepts. The first one consists of performing system expansion in order to include the additional functions provided by the co-products, since indirect effects arise from co-product interactions with other life cycles in the international market. This has allowed for the biodiesel domestically produced from UCO to be compared with the soybean biodiesel imported from Argentina. Furthermore, a mathematical programming model has been proposed based on the biodiesel sector¿s nameplate capacity in Spain. Its aim is to determine the optimal feedstock mix according to economic criteria, in order to meet the target demand for 2020; the biodiesel resulting from the mix must also fulfill the environmental requirements in the RED. The model allows for an LCA to be simultaneously carried out, in order to calculate the emissions associated with each production pathway. Indirect emissions from LUC in the Spanish agriculture can also be estimated. Finally, a general equilibrium model has been used to analyze the global environmental consequences, in terms of GHG emissions and LUC, of increasing the demand for biodiesel in the EU to meet the RED targets, in combination with recent anti-dumping measures on biodiesel imports from some specific countries. The outcomes from these studies have allowed for emission factors to be determined for different biodiesel production pathways in the Spanish market. Not only global warming has been taken into account but also other impact categories, which may be equally critical. In addition, pros and cons of the methodologies applied have been identified, depending on the goal and scope of the study; they should be applied in a complementary manner for a better understanding of the global phenomenon of bioenergy, increasing the confidence in GHG emission results. Reducing uncertainty in LUC estimates is crucial to enhance the applicability of future biofuel policies.