BLOEM: A spatially explicit model of bioenergy and carbon capture and storage, applied to Brazil
Tagomori, Isabela; Daioglou, Vassilis; Rochedo, Pedro; Angelkorte, Gerd; Schaeffer, Roberto; van Vuuren, Detlef; Szklo, Alexandre
(2023) GCB Bioenergy, volume 15, issue 2, pp. 116 - 127
(Article)
Abstract
Bioenergy could play a major role in decarbonizing energy systems in the context of the Paris Agreement. Large-scale bioenergy deployment could be related to sustainability issues and requires major infrastructure investments. It, therefore, needs to be studied carefully. The Bioenergy and Land Optimization Spatially Explicit Model (BLOEM) presented here allows
... read more
for assessing different bioenergy pathways while encompassing various dimensions that influence their optimal deployment. In this study, BLOEM was applied to the Brazilian context by coupling it with the Brazilian Land Use and Energy Systems (BLUES) model. This allowed investigating the most cost-effective ways of attending future bioenergy supply projections and studying the role of recovered degraded pasture lands in improving land availability in a sustainable and competitive manner. The results show optimizing for limiting deforestation and minimizing logistics costs results in different outcomes. It also indicates that recovering degraded pasture lands is attractive from both logistics and climate perspectives. The systemic approach of BLOEM provides spatial results, highlighting the trade-offs between crop allocation, land use and the logistics dynamics between production, conversion, and demand, providing valuable insights for regional and national climate policy design. This makes it a useful tool for mapping sustainable bioenergy value chain pathways.
show less
Download/Full Text
Keywords: BECCS, bioenergy, Brazil, IAMs, land availability, Forestry, Renewable Energy, Sustainability and the Environment, Agronomy and Crop Science, Waste Management and Disposal
ISSN: 1757-1693
Publisher: Wiley-VCH Verlag
Note: Funding Information: We would like to thank Luiz Bernardo Baptista, from CENERGIA/COPPE/UFRJ for the support in running the BLUES model, to which BLOEM was linked in this study. This study benefited from the financial support of the European Union via the COMMIT (Climate pOlicy assessment and Mitigation Modeling to Integrate national and global Transition pathways) project, funded by Directorate General Climate Action (DG CLIMA) and EuropeAid, under grant agreement No. 21020701/2017/770447/SER/ CLIMA.C.1 EuropeAid/138417/DH/SER/MuliOC (COMMIT). This study also benefited from the financial support of the European Union's Horizon 2020 research and innovation programme, via the ENGAGE project (Exploring National and Global Actions to reduce Greenhouse gas Emissions), under Grant Agreement 821471 (ENGAGE). This study was supported by the Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro – FAPERJ), under the Outstanding Candidate Scholarship (Bolsa Doutorado Nota 10), number 2016.00687.5. Finally, Alexandre Szklo and Roberto Schaeffer also want to thank CNPq (National Council for Scientific and Technological Development), from Brazil, for its financial support. Funding Information: We would like to thank Luiz Bernardo Baptista, from CENERGIA/COPPE/UFRJ for the support in running the BLUES model, to which BLOEM was linked in this study. This study benefited from the financial support of the European Union via the COMMIT (Climate pOlicy assessment and Mitigation Modeling to Integrate national and global Transition pathways) project, funded by Directorate General Climate Action (DG CLIMA) and EuropeAid, under grant agreement No. 21020701/2017/770447/SER/ CLIMA.C.1 EuropeAid/138417/DH/SER/MuliOC (COMMIT). This study also benefited from the financial support of the European Union's Horizon 2020 research and innovation programme, via the ENGAGE project (Exploring National and Global Actions to reduce Greenhouse gas Emissions), under Grant Agreement 821471 (ENGAGE). This study was supported by the Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro – FAPERJ), under the Outstanding Candidate Scholarship (Bolsa Doutorado Nota 10), number 2016.00687.5. Finally, Alexandre Szklo and Roberto Schaeffer also want to thank CNPq (National Council for Scientific and Technological Development), from Brazil, for its financial support. Publisher Copyright: © 2022 The Authors. GCB Bioenergy published by John Wiley & Sons Ltd.
(Peer reviewed)
