Sustainability Assessment of Hydrogen Production Techniques in Brazil through Multi-Criteria Analysis

Current global demands for energy resources along with continuous global population growth have placed natural environments and societies under great stress to fulfill such a need without disrupting economic and social structures. Policy and decision-making processes hold some of the most important keys to allow safe paths for societies towards energy security and safeguard of the environment. Brazil has played a lead role within renewable energy production and use during the last decades, becoming one of the world’s leading producer of sugarcane based ethanol and adapting policies to support renewable energy generation and use. Although it is true that Brazil has historic experience with managing development of renewables and its further integration into the consumer market, there is still a lot to do to impulse new technologies that could further reduce emissions, increase economic stability and social welfare. Throughout this thesis project a sustainability assessment of hydrogen production technologies in Brazil is conducted through Multi-Criteria Analysis. After defining an initial framework for decision-making, options for hydrogen production were reviewed and selected. Options were evaluated and weighted against selected sustainability indicators that fitted the established framework within a weighting matrix. An overall score was obtained after the assessment, which ranked hydrogen production techniques based on renewable energy sources in first place. Final scoring of options was analyzed and concluded that several approaches could be taken in interpreting results and their further integration into policy making. Concluding that selection of the right approach is dependent on the time scale targeted for implementation amongst other multi-disciplinary factors, the use of MCA as an evaluation tool along with overarching sustainability indicators can aid in narrowing uncertainties and providing a clear understanding of the variables surrounding the problem at hand