Energy-cane and RenovaBio: Brazilian vectors to boost the development of Biofuels

Grassi, Maria Carolina B.; Pereira, Gonçalo Amarante Guimarães

doi:10.1016/j.indcrop.2018.12.006

Cited by 119 publications

(70 citation statements)

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“…Taking into account regional determinants, it should be considered as the most optimal way to develop the region's forest potential. Biofuel vector should be treated as a global challenge for reforming national forest management and solving regional socio-economic and environmental problems [10,11]. Production of biofuels should be included in the number of promising areas of the national economy.…”

Section: Resultsmentioning

confidence: 99%

Sustainable regional development in the context of bioeconomic trend: Pskov Region

Makar

2020

E3S Web Conf.

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The article presents arguments for the strategy of regional sustainable development (on the example of Pskov region), based on the implementation of the forest potential of the territory on the principles of bioeconomy with a cluster approach to the organization of regional space. The expansion of the biofuel market is a key external factor for the production of pellets made from low-grade wood and forest waste in countries and regions with an appropriate natural, economic and geographical potential. The parameters of the objective trend -transition of Russian regions to bioeconomy, which will allow them not only to increase regional incomes by expanding opportunities for public-private partnership, but also to improve their own competitiveness in the national economy, are outlined. In addition, due to cluster approach, the prerequisites for the formation of regional space network structure are obvious. Methods of logical and substantive, strategic, statistical, regional, technical and economic analysis, as well as content analysis and SWOT analysis are applied in the study.

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Section: Resultsmentioning

confidence: 99%

Sustainable regional development in the context of bioeconomic trend: Pskov Region

Makar

2020

E3S Web Conf.

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“…Such an initiative expanded the country's consumption of biofuels and increased the energy matrix's sustainability. It also supported the goal of reducing 37% of GHG emissions by 2025, compared to 2005 levels [2,12,15,16]. Differently, some European Union countries also include electromobility (electric cars) in their GHG emission reduction forecasts [17].…”

Section: Introductionmentioning

confidence: 96%

“…Developing renewable energy is one of the leading global interests in promoting sustainability and environmental quality, including modern electricity grids worldwide, which have begun to rely more heavily on renewable energy sources [1][2][3]. Ethanol is a renewable fuel produced by the fermentation of sugarcane extract and molasses.…”

Section: Introductionmentioning

confidence: 99%

“…The total emission is compared with that of the equivalent fossil fuel (gasoline, for ethanol), resulting in a final score (Energy-Environmental Efficiency Rating), characterizing the mitigation of emissions. This note generates CBios for biofuel producers and importers; with the decarbonization of the Brazilian energy matrix, there is a mechanism for the commercialization of these CBios linked to the carbon intensity of biofuels [2,12,16,18].The incentive to reduce pollutant emissions in the biofuel chain goes far beyond the use of flex vehicles by consumers [9,11,22], but it is directly linked to decarbonization credits given to biofuel producers and distributors, because although renewable, it depends on how sugarcane is produced [5,8,[23][24][25][26]. Alkimim and Clarke [27] showed that the carbon debt of deforestation in Brazilian biomes for ethanol production was equivalent to 608 Mg CO 2 ha −1 in the Amazon, 142 Mg CO 2 ha −1 in the Cerrado, and 212 Mg CO 2 ha −1 to the Atlantic Forest with the respective return time of 62, 15, and 22 years.…”

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Classifying the Level of Energy-Environmental Efficiency Rating of Brazilian Ethanol

et al. 2020

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The present study aimed to assess and classify energy-environmental efficiency levels to reduce greenhouse gas emissions in the production, commercialization, and use of biofuels certified by the Brazilian National Biofuel Policy (RenovaBio). The parameters of the level of energy-environmental efficiency were standardized and categorized according to the Energy-Environmental Efficiency Rating (E-EER). The rating scale varied between lower efficiency (D) and high efficiency + (highest efficiency A+). The classification method with the J48 decision tree and naive Bayes algorithms was used to predict the models. The classification of the E-EER scores using a decision tree using the J48 algorithm and Bayesian classifiers using the naive Bayes algorithm produced decision tree models efficient at estimating the efficiency level of Brazilian ethanol producers and importers certified by the RenovaBio. The rules generated by the models can assess the level classes (efficiency scores) according to the scale discretized into high efficiency (Classification A), average efficiency (Classification B), and standard efficiency (Classification C). These results might generate an ethanol energy-environmental efficiency label for the end consumers and resellers of the product, to assist in making a purchase decision concerning its performance. The best classification model was naive Bayes, compared to the J48 decision tree. The classification of the Energy Efficiency Note levels using the naive Bayes algorithm produced a model capable of estimating the efficiency level of Brazilian ethanol to create labels.The production of biofuel from sugarcane is supported by the National Agency of Petroleum, Natural Gas and Biofuels' (ANP) sustainable development programs to achieve goals to reduce greenhouse gas emissions. Therefore, annual national targets were developed by the Brazilian National Biofuel Policy (RenovaBio) [12,15]. These goals are established in units of Decarbonization Credits (CBios) calculated from annual mandatory targets defined individually for each producer and distributor according to their participation in the fossil fuel market [12,16,[18][19][20][21].The certification of biofuel production assigns different marks to each biofuel producer and importer, in a value inversely related to the carbon amount of biofuel produced. The note reflects the individual contribution of each producing agent to mitigate a specific amount of GHG concerning its fossil substitute (in tons of CO 2 equivalent). The total emission is compared with that of the equivalent fossil fuel (gasoline, for ethanol), resulting in a final score (Energy-Environmental Efficiency Rating), characterizing the mitigation of emissions. This note generates CBios for biofuel producers and importers; with the decarbonization of the Brazilian energy matrix, there is a mechanism for the commercialization of these CBios linked to the carbon intensity of biofuels [2,12,16,18].The incentive to reduce pollutant emissions in the biofuel chain goes far beyond the use o...

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Mapping the environmental and techno‐economic potential of biojet fuel production from biomass residues in Brazil

Cervi

Lamparelli

Gallo

et al. 2020

Biofuels Bioprod Bioref

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This study assesses the environmental potential of crop residues and the techno‐economic potential of biojet fuel (BJF) production in Brazil. Different production routes are evaluated from two types of biomass residues (sugarcane straw and eucalyptus harvest residue), and four different technological pathways (alcohol to jet, Fischer–Tropsch, hydrothermal liquefaction and pyrolysis). The environmental potential of biomass residues is determined utilizing spatio‐temporal projections of land‐use change in Brazil and by explicitly modeling the erosion risk and the soil organic carbon (SOC) balance spatially. The assessment of the techno‐economic potential of BJF production from the environmental potential of sugarcane straw (SCS) and eucalyptus harvest residues (EHRs) considers the BJF total costs, which result from a summation of biomass residue recovery costs, BJF conversion costs, and BJF transportation costs. These BJF total costs are compared with the range of fossil jet fuel prices at Brazilian airports to quantify the techno‐economic potential. The environmental potential of biomass residues varies from 70 Mt in 2015 to 102 Mt in 2030, with SCS being highly constrained by SOC, whereas EHRs are more constrained by the high erosion risk. These quantities can generate a techno‐economic BJF potential ranging from 0.45 EJ in 2015 (46 US$/GJ – 65 US$/GJ) to 0.67 EJ in 2030 (19 US$/GJ – 65 US$/GJ). In 2030, several BJF production routes can be competitive with fossil jet fuel prices. The northeast and southeast regions have the highest potential, especially in 2030. © 2020 The Authors. Biofuels, Bioproducts, and Biorefining published by Society of Chemical Industry and John Wiley & Sons, Ltd.

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Energy-cane and RenovaBio: Brazilian vectors to boost the development of Biofuels

Cited by 119 publications

References 15 publications

Sustainable regional development in the context of bioeconomic trend: Pskov Region

Sustainable regional development in the context of bioeconomic trend: Pskov Region

Classifying the Level of Energy-Environmental Efficiency Rating of Brazilian Ethanol

Mapping the environmental and techno‐economic potential of biojet fuel production from biomass residues in Brazil

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