SIEV Platform
Green Energy Intelligence System








Today, information on green technologies is scattered across reports, public databases, scientific articles, and sectoral studies, without integrated curation. There is a lack of a locus that organizes these data in a harmonized manner, with clear taxonomies (technological pathways, value-chain segments, stages of maturity) and verified sources. Without such a structure, policymakers, companies, and researchers face difficulties in seeing the whole picture, comparing alternatives, and making evidence-based decisions.
From the perspective of innovation theory, many green technologies remain at early stages of development, operating below the competitiveness threshold of already consolidated solutions. At the same time, dominant technologies benefit from lock-in effects and established technological paradigms, reinforcing inertia in productive systems. Understanding these different degrees of maturity is essential for calibrating realistic policies, funding instruments, and business strategies.
At the federal, state, and municipal levels, there exists a broad and fragmented set of programs, laws, plans, and incentives aimed at the energy transition and green technologies. However, there is still no integrated “map” that allows these policies to be viewed collectively, identifying synergies, gaps, and potential overlaps or conflicts. The absence of such a systemic view hinders resource prioritization, the design of more efficient instruments, and coordination across levels of government.
Innovation systems in green technologies continue to face structural challenges related to articulation between universities and research centers, companies, and public authorities. Scientific results do not always reach the market, business demands are not always translated into research agendas, and public policies are often formulated without continuous dialogue with these actors. Strengthening governance mechanisms, coordination, and joint agenda-setting is a key condition for the consolidation of dynamic and sustainable productive ecosystems.
Considering that sustainable aviation fuels (SAF) constitute a productive chain still under development in Brazil, it is essential to understand where, how, and at what pace this ecosystem is being structured. An integrated mapping of the value chain—from feedstock supply to refining, distribution, and final use—makes it possible to identify production bottlenecks, industrial opportunity windows, and spaces for coordination among actors. In parallel, a systematic review of public policies and regulatory frameworks associated with SAF contributes to assessing coherence, gaps, and potential overlaps, offering a strategic view of Brazil’s positioning in a sector that is critical to the energy transition.
The consolidation of the SAF market will require a new architecture of human, technical, and institutional capabilities. Due to the involvement of multiple technological pathways and production stages, this value chain demands diverse professional profiles, ranging from competencies related to agriculture, waste, and biomass to process engineering, advanced chemistry, certification, logistics, and environmental governance. Collecting data on employment and qualifications is not merely an economic or statistical exercise, but a tool for industrial and educational planning, fundamental for anticipating future demands, guiding training programs, and reducing the risk of shortages of specialized labor.
Patents and scientific articles function as complementary indicators of technological advancement: while patents reflect inventive efforts and value-appropriation strategies, scientific publications signal the consolidation of knowledge and the evolution of the state of the art. The mining and analysis of these data allow for the identification of key players, R&D trends, collaboration networks, dominant technological pathways, and unresolved challenges. In the Brazilian context, this analysis is particularly strategic, as it reveals the degree of national protagonism, technological dependencies, and potential spaces for competitive insertion.
Transforming dispersed information into actionable intelligence requires visualization mechanisms that facilitate interpretation, comparison, and continuous updating. Dynamic dashboards make it possible to integrate technological, economic, regulatory, and market variables into an environment that is accessible and interpretable by different audiences. In this sense, dashboards not only democratize knowledge, but also strengthen the use of evidence in policy formulation, investment decisions, and the strategic planning of companies and institutions.
SAF represents an excellent starting point for building methodologies and data architectures that can be replicated across other energy transition vectors. By systematizing lessons learned regarding value chains, technological maturity, public policies, productive capacities, and innovation dynamics in SAF, a robust foundation is created to expand SIEV’s intelligence to other green routes and commodities, such as hydrogen, ammonia, biomethane, and advanced biofuels. This scalability perspective reinforces the system’s vocation as a strategic knowledge infrastructure for the new low-carbon economy.


View strategic indicators on green technologies in Brazil, with an initial focus on Sustainable Aviation Fuels (SAFs). Explore data through dynamic dashboards that support analysis and evidence-based decision-making.
Data, evidence, and intelligence on emerging value chains such as SAFs, green hydrogen, biomethane, and HVO to support public policies, business decision-making, and strategies toward the energy transition.
Interested in collaborating?
siev@cehtes.ufg.br
Federal University of Goiás