Low carbon biofuels and the New Brazilian National Biofuel Policy (RenovaBio): A case study for sugarcane mills and integrated sugarcane-microalgae biorefineries

Klein, Bruno Colling; Chagas, Mateus Ferreira; Watanabe, Marcos Djun Barbosa; Bonomi, Antonio; Filho, Rubens Maciel

doi:10.1016/j.rser.2019.109365

Cited by 93 publications

(37 citation statements)

References 63 publications

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“…Brazil: The increasing desire for energy security (mainly after the energy crisis of 1973), reducing the heavy dependence on imported oil, and enhancing economic development were the primary motivations for implementing various biofuel policies in Brazil [9,47]. After the implementation of the National Fuel Alcohol Program in 1975, Brazil became the global leader in biofuel production and utilization until 2005, when the U.S. surpassed it on both accounts.…”

Section: Review Of Energy Policies In Leading Biofuel Producing and Lmentioning

confidence: 99%

Role of Comparative Advantage in Biofuel Policy Adoption in Latin America

Acharya

Perez-Pena

2020

Sustainability

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The primary objective of this study is to evaluate whether renewable energy initiatives recently developed and implemented in Latin American and Caribbean countries are consistent with their national resource endowments, policy goals, and the general postulates of economic theory. Most classical and neoclassical theories suggest that international trade enhances economic efficiency and welfare of both parties involved in the exchange when they focus on producing and distributing products and services in which they have a comparative advantage. To achieve this goal, we analyze ethanol policy drivers using panel data from four major economies—Argentina, Brazil, Colombia, and Mexico. Since there is no universally accepted measure of comparative advantage, three separate models with different indicators—relative feedstock price, comparative export performance, and revealed comparative advantage—along with control variables, including the availability of production resources such as land and farm labor, are estimated. As expected, results show that the comparative advantage in feedstock production was one of the crucial factors in determining biofuel policy development and implementation in the four countries.

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Section: Review Of Energy Policies In Leading Biofuel Producing and Lmentioning

confidence: 99%

Role of Comparative Advantage in Biofuel Policy Adoption in Latin America

Acharya

Perez-Pena

2020

Sustainability

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“…The objective of energy-environmental labeling is to encourage Brazilian sugar and alcohol industries to develop innovations and improvements beyond the minimum levels of efficiency. However, it is expected that more ethanol producers will be able to adhere to the ANP certifications of RenovaBio [2,12,19,33,34], and consequently, the labeling system can be improved with the inclusion of more data on the platform.…”

Section: Classifying the Biofuel Energetic-environmental Efficiencymentioning

confidence: 99%

“…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).…”

mentioning

confidence: 99%

mentioning

confidence: 99%

“…Plan of the emission and trade of decarbonization credits (CBios) created by the RenovaBioProgram, adapted by Klein et al[19].…”

mentioning

confidence: 99%

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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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