TY - JOUR
T1 - Pathways for a Brazilian biobased economy
T2 - towards optimal utilization of biomass
AU - Lap, Tjerk
AU - Benders, René
AU - Köberle, Alexandre
AU - van der Hilst, Floor
AU - Nogueira, Larissa
AU - Szklo, Alexandre
AU - Schaeffer, Roberto
AU - Faaij, André
PY - 2019
Y1 - 2019
N2 - Biomass is responsible for 25% of the primary energy supply in Brazil. However, future biomass demand will be influenced by many factors. This study evaluates potential pathways for the utilization of biomass in Brazil until 2050, while considering novel biobased sectors (renewable jet fuel and biochemicals), resource competition, and greenhouse gas (GHG) emissions. Whereas other least-cost optimization models assess biobased options to meet energy and chemicals demand in Brazil to a limited extent, this study provides a detailed breakdown of biomass feedstock, including an extensive portfolio of biomass conversion technologies. A least-cost optimization model is used to assess the demand for energy and chemicals, and the competition between biomass and other climate-mitigation measures such as renewable power generation technologies, carbon capture and storage (CCS), and energy efficiency. Varied over the three scenarios, 86–96% of the sustainable biomass supply potential is used. Under more stringent mitigation targets, novel biomass conversion technologies start to play an important role: Biobased electricity production with CCS, jet fuel production from lignocellulosic biomass, and chemicals are partly produced from ethanol and bio-naphtha. The modeling framework provides a transparent view of which type of biomass can be used for which specific purpose. It is therefore an interesting tool for future research, for example to examine the dynamic interaction with demand for land.
AB - Biomass is responsible for 25% of the primary energy supply in Brazil. However, future biomass demand will be influenced by many factors. This study evaluates potential pathways for the utilization of biomass in Brazil until 2050, while considering novel biobased sectors (renewable jet fuel and biochemicals), resource competition, and greenhouse gas (GHG) emissions. Whereas other least-cost optimization models assess biobased options to meet energy and chemicals demand in Brazil to a limited extent, this study provides a detailed breakdown of biomass feedstock, including an extensive portfolio of biomass conversion technologies. A least-cost optimization model is used to assess the demand for energy and chemicals, and the competition between biomass and other climate-mitigation measures such as renewable power generation technologies, carbon capture and storage (CCS), and energy efficiency. Varied over the three scenarios, 86–96% of the sustainable biomass supply potential is used. Under more stringent mitigation targets, novel biomass conversion technologies start to play an important role: Biobased electricity production with CCS, jet fuel production from lignocellulosic biomass, and chemicals are partly produced from ethanol and bio-naphtha. The modeling framework provides a transparent view of which type of biomass can be used for which specific purpose. It is therefore an interesting tool for future research, for example to examine the dynamic interaction with demand for land.
KW - bio-chemicals
KW - biobased economy
KW - biomass value chains
KW - Brazil
KW - integrated modeling
UR - http://www.scopus.com/inward/record.url?scp=85061898526&partnerID=8YFLogxK
U2 - 10.1002/bbb.1978
DO - 10.1002/bbb.1978
M3 - Article
AN - SCOPUS:85061898526
SN - 1932-104X
VL - 13
SP - 673
EP - 689
JO - Biofuels, Bioproducts and Biorefining
JF - Biofuels, Bioproducts and Biorefining
IS - 3
ER -
