Since 2002 developing pioneering research on sustainable energy futures
What we do
Applying pioneering energy planning modelling tools, CenergiaLab supports energy and climate policymakers in understanding the synergies and vulnerabilities of technological innovation pathways towards low-carbon transitions in Brazil, in Latin America and in the world.
CenergiaLab creates transformative knowledge to support science-based policies and to design solutions through science and society interfaces. Our “motto” is to explore future pathways to assist decision makers, the private sector and societies to achieve sustainable transitions.
Our five pillar principles:
Innovative knowledge towards sustainable future pathways
Inclusive and collaborative work environment
Interdisciplinary research frameworks
Transparent problem-solving research tools
Creative solutions leading to science-based policies
15 workstations and a fully equipped multimedia meeting room
CenergiaLab’s mission is to develop applied research and disseminate innovative knowledge on complex interactions between the energy sector, socio-economic development and global and local environmental dimensions.
CenergiaLab develops integrated energy and environmental optimization models and energy planning sectoral models. Our core Integrated Assessment Models (IAM) include the Brazilian Land-Use and Energy Systems model (BLUES), the TIMES-Brazil model, the Ecuador Land Use and Energy Network Analysis (ELENA) model, the Computable Integrated Framework for Energy and the Environment (COFFEE) and the Total-Economy Integrated Assessment (TEA) model.
Over time, these IAMs have been refined and adapted to better represent the energy and land use sectors in Brazil and other Latin American countries, as well as other regions of the globe. Our IAMs incorporate over 10,000 energy supply and demand technological options, and their interactions with economic development, climate change, local air pollution, water footprint, land use change and climate policies.
Our IAMs are integrated with specific in-house sectoral models to better reflect energy sectoral interactions. We also establish softlinks with other tools based on life cycle assessment, process analysis, econometrics and input-output matrix methods to evaluate interlinkages between multiple dimensions of sustainability.