1. Introduction
Bioethanol stands out as the most widely used non-fossil fuel in the world. The choice of raw materials to produce this biofuel depends on local conditions, generally produced from food crops, which reduces issues related to the greenhouse effect [
1,
2].
As described by Demirbas (2019) [
1], biofuels are non-polluting, locally available, affordable, sustainable, and reliable fuels. Obtained from renewable sources, promoter supports long-term human health and ecosystem health. Biofuels offer a range of technical and environmental benefits compared to conventional fossil fuels, making them attractive alternatives for the transport sector. Among these benefits, the following stand out: reduction of greenhouse gas emissions (including reduction of carbon dioxide emissions, contributing to national and international goals), diversification of the fuel sector, biodegradability and sustainability, protection and creation of jobs, and clean energy generation.
In the context of clean energy generation, one can cite, as an example, the generation of electrical energy, generated from residues from the ethanol production process, which provides an additional market for agricultural products [
3].
Currently, there is no global market for ethanol. The types of crops, agricultural practices, land and labor costs, factory sizes, processing technologies, and government policies in different regions significantly vary the costs and production prices of ethanol by region. Ethanol produced from corn in the United States is considerably more expensive than sugarcane ethanol in Brazil, and ethanol from cereals and sweet beets in Europe is even more expensive. Sugarcane ethanol, primarily produced in developing countries with warm climates, is generally much cheaper to produce than ethanol produced from cereal or sweet beet ethanol in European countries. For this reason, in countries like Brazil and India, where sugarcane is produced in substantial volumes, sugarcane-based ethanol is becoming an increasingly profitable alternative to petroleum fuels [
1].
The sugarcane energy sector in Brazil presents robust, globally recognized ethanol production from sugarcane. With special emphasis on the competitiveness of sugarcane ethanol compared to gasoline, positioning it as a well-established substitute fuel for flex-fuel vehicles (flex-fuel vehicles are automobiles designed to operate with two types of fuels: gasoline and ethanol. These vehicles have engines that can automatically adjust to the fuel mixture, allowing the driver to choose to refuel with gasoline, ethanol, or a blend of both) [
4].
As described by Tahir et al. (2019) [
5], in Brazil, one of the reasons for the significant increase in sugarcane production after 2005 was the implementation of flex-fuel vehicle technology in the Brazilian automotive industry. This growth was positive until the 2014/2015 harvest. However, the total sugarcane production did not follow this growth due to the reduction in yield per unit area. On the other hand, successive droughts impacted all Brazilian agriculture. Mainly since 2011, water deficiency has strongly affected the productivity of sugarcane cultivation. Furthermore, the implementation of mechanized harvesting and the expansion of crops on poorer soils have also reduced productivity. The expansion of sugar cane into pastures in the central-western region of the country contributed to this decline, as the soil in this area lacks the promising quality found in traditional sugarcane regions.
On the flip side, Tahir et al. [
5] describe that for the production of first-generation bioethanol, easily extractable sources of sugar or starch are used. Sugarcane has advantages: its juice contains approximately 20% sucrose and does not require a pre-treatment stage for bioethanol production, whereas corn needs to undergo a hydrolysis stage to produce sugar, which is then subjected to fermentation. Sugarcane and corn are the two main crops used for first-generation bioethanol production, accounting for over 80% of the total bioethanol biofuel worldwide. However, the widespread adoption of first-generation biofuels from cereals is considered questionable due to the perception that such crops compete with food production and may have a negative impact on food prices. Additionally, land requirements for these crops, such as corn, also present a challenging situation. The average bioethanol production capacity of sugarcane is 7500–8000 L·ha
−1, while that of corn is 3460–4020 L·ha
−1. Thus, to produce the same amount of bioethanol, corn requires twice as much land as sugarcane.
The ethanol production process allows for the generation of this biofuel in two forms: hydrated ethanol and anhydrous ethanol. In Brazil, hydrated ethanol is sold at consumer points for final use in combustion engines, while anhydrous ethanol is sold at distributors and added to gasoline. In other words, all gasoline marketed in Brazil, for vehicular use, is blended with anhydrous ethanol at a ratio of 27% by volume [
6].
The study conducted by Ternel et al. (2021) [
7] demonstrates that both standard and advanced biofuels (liquid and gaseous) constitute a highly efficient means of rapidly reducing greenhouse gas emissions from the global vehicle fleet without significant adjustments to powertrains and service stations across Europe. Increasing the incorporation rate of biofuels would yield immediate results, and advanced biofuels or BIOCNG can sidestep the biofuels controversy regarding competition with arable land intended for food production. Substantial investments are required to develop advanced biofuel production, considering all value chains.
However, in Brazil, the popularity of flex-fuel vehicles stands out. These vehicles are designed to operate on different proportions of gasoline and hydrated ethanol, allowing drivers to choose the most cost-effective fuel at the time of refueling. In November 2023, flex-fuel vehicles represented 82% of the light vehicle fleet in Brazil, while gasoline vehicles accounted for a percentage of 3.3%, confirming the competitiveness of ethanol compared to gasoline. One of the main reasons for the success of this type of engine, used by major vehicle manufacturers in Brazil, is the abundance of sugarcane in the country. Sugarcane is the primary raw material for ethanol production, presenting itself as a cleaner and renewable alternative compared to gasoline. On the other hand, the benefits of flex-fuel vehicles include reducing dependence on fossil fuels, decreasing greenhouse gas emissions and promoting a more sustainable energy matrix. In
Figure 1, the demand for Flex vehicles in Brazil from 2019 to 2023 in comparison to gasoline can be observed [
8], which demonstrates the consolidated market for this type of vehicle in Brazil.
The sugarcane ethanol production process in Brazil occurs through sugarcane milling or by diffusion, but the predominant process in the country is milling, and both processes are characterized by generating a large amount of residue, called sugarcane bagasse. This residue becomes fuel for the boilers to generate steam, which in turn produces thermal energy in the form of steam and the subsequent production of mechanical and/or electrical energy in steam turbines. This amount of thermal and electrical energy is sufficient to meet the needs of the ethanol-producing plant and sell excess electrical energy to the distribution network. In this way, the use of sugarcane bagasse for cogeneration of energy is the reason why the energy balance of the production of ethanol from sugarcane is highly positive since no fossil fuel is used, except those that are included in the fertilizers and pesticides, in addition to diesel oil used in agricultural equipment and in transporting sugarcane to supply the distilleries, as well as in transporting ethanol from the plant to distributors and from distributors to points of consumption [
9,
10,
11,
12,
13].
Thus, the sugar-energy sector stands out for its use of waste generated, adding energy value to the ethanol production flow, which makes it possible to maximize natural resources and generate new energy products that add energy value to the sector’s production flow.
The overall content of this article aims to demonstrate the energy efficiency of first-generation sugarcane ethanol (1G) produced in autonomous distilleries in Brazil using the Energy Return on Investment (EROI). Additionally, it seeks to compare the obtained value for this energy indicator with the EROI of gasoline produced and marketed in Brazil, according to the data available in conducted studies. This comparison will thereby validate the energy sustainability of 1G ethanol.
2. Methodology
The methodology used in this article involves measuring energy flows within the ethanol production process and evaluating energy consumption at each stage of production. This measurement is performed using regression analysis, which is categorized into three levels.
For the agricultural stage (AS), level 1 refers to the energy consumed through fuels used in the processes of agricultural operations and transport of sugarcane from the cane fields to the mill. Level 2 of regression for AS refers to the energy contained in the agricultural inputs used, that is, fertilizers, limestone, herbicides, insecticides, and seedlings, and level 3 of regression for AS portrays the energy for construction and maintenance of necessary equipment and buildings.
For the industrial stage (IS), level 1 deals with the consumption of electrical, mechanical, and thermal energy to be used in the plant. For the IS, level 2 portrays the energy contained in the inputs necessary to be used in the industrial process, that is, sodium hydroxide, lime, sulfuric acid, cyclohexane, antifoam, lubricants, and other necessary inputs. Regression level 3 for the IS portrays the energy for the construction and maintenance of necessary equipment and buildings.
Likewise, in the distribution stage (DS), level 1 portrays the energy consumed through fuels for transportation operations, which include transporting ethanol from the producing plant to the fuel distributor and then to resellers and/or supply points. For the distribution stage, level 2 presents the energy contained in tires and lubricants. Finally, regression level 3 for DS portrays the energy for construction and maintenance of necessary equipment and buildings.
The addition of subsequent levels, such as the fourth and fifth level, are not included in this article, due to the lack of robust information, as well as a significant increase in information. These regression levels refer to the energy embodied in supporting work and other economic services, therefore, in this work, energy flows were considered only up to the third level of regression [
3,
12,
13], as can be seen in
Figure 2.
The energy accounting format for the sugarcane ethanol production flow considers an approach from the production of the raw material to the availability of the product to the final consumer (Well-To-Tank).
This type of approach implies some steps to be followed for energy accounting:
(a) Survey and validate sugarcane productivity data; (b) measure the energy available in sugarcane as a function of productivity; (c) measure the energy consumption of the process by regression level; and (d) determine the EROI in the sugarcane ethanol production flow. Finally, a comparison will be made between the EROI of incoming Ethanol and the EROI of gasoline, available in the sector literature.
3. Survey and Validation of Sugarcane Productivity Data
The collected and consolidated data refer to the productivity per harvest of sugarcane crops in Brazil from 2007/2008 to 2021/2022, as per information available on the Conab website (
https://www.conab.gov.br/info-agro/safras/cana (accessed on 16 June 2021)). As can be observed in
Figure 3, throughout the period analyzed, sugarcane productivity in tons of cane per hectare (tc/ha) varied between 110.10 tc/ha and 63.15 tc/ha, with an average value production of 77.23 tc/ha, this variability can be attributed to the age of the sugarcane field. It should be emphasized that the sugarcane crop productivity data provided by Conab does not mention the planting method for the first harvest, whether it is an 18-month plant cane or a 12-month plant cane. Therefore, in this article, it is considered that the productivity data in tons of sugarcane per hectare per year (tc/ha·year) are equivalent to the productivity data in tons of sugarcane per hectare (tc/ha), and that each crop involves a total of six harvests.
In addition to
Figure 3,
Table 1 presents the maximum and minimum productivity values per cut, as well as the percentages of sucrose, fiber, and straw considered in this work.
Sugarcane is a plant that generally supports six cuts, and its composition is an inherent variable in the production process and susceptible to the season of the year, showing changes from one season to another. The potential of sugarcane residues in terms of dry matter is around 14% of the mass of the stem, which means that for each ton of stems, there are 140 kg of dry residues. Experiments carried out show a significant difference that can be observed between the average value of 14% and an average value of 18.2%. However, this can be explained mainly by differences in methodology and experiments that do not consider the effect of moisture content and the cutting stage, as well as the differences between the varieties considered [
14]. Regarding the amount of water available in sugarcane, this value can vary between 65% and 75% [
15,
16]. In addition to
Figure 3,
Table 1 presents the maximum and minimum productivity values per cut, as well as the percentages of sucrose, fiber, and straw considered in this work.
Validation of the collected data includes checking the consistency of the data, this verification occurred through the calculation of the coefficient of variation
and the variation index
. The coefficient of variation
is determined through the ratio between the standard deviation
and the average
, in percentage, based on the sample size, demonstrating the size of the measurements. The variation index
is determined through the ratio between the variation coefficient
and the square root of the number of repetitions
of the experiment. The variation index considers the number of measurements for the period under analysis, which demonstrates that the lower this index, the more accurate the data collected. However, it is worth highlighting that in Brazil the sugar-energy market does not have a coefficient of variation analysis for the different types sugarcane cultivars, requiring the use of generic parameters used in different types of crops [
3,
17]. The calculation format for the coefficient of variation
and the variation index
can be observed in Equations (1) and (2), respectively.
Validation of the data through analysis using the coefficient of variation demonstrates that the collected data have a high level of precision, as can be seen in
Table 2.
4. Energy Available in Sugarcane as a Function of Productivity
The genetic improvement of sugarcane destined to produce sugar promoted the obtaining of genetic materials with high production of sucrose in the juice; in this way, when all the energy contained in the sugars and in the fibers is transformed into the same unit, the energy of sugarcane is around 7400 Megajoule per ton of clean stalks (MJ/tc) [
18,
19].
The amount of sugarcane primary energy per clean stem is directly related to its components: sucrose, fibers from thatch, and straw. As a result, the primary energy available per ton of clean sugarcane stalk is as follows: 2500 MJ/tc for sucrose, 2400 MJ/tc for stalk fibers, and 2500 MJ/tc for straw. The mass ratio kg/tc for sucrose, culm, and straw fibers are 150, 135, and 140, respectively [
9,
18].
The amount of energy delivered per cut by sugarcane
can be determined by the ratio between sugarcane productivity per cut
and the average per cut
, multiplied by the amount of primary energy available in each component of sugarcane, 7400 MJ/tc for sugar cane [
3]. As can be observed in Equation (3). However, the amount of energy available in the components of sugar cane, considering only sucrose
or fiber
, can be observed in Equations (4) and (5), respectively.
Sugarcane is a semi-perennial crop, as after planting, it is cut several times before being replanted. Its production cycle is, on average, six years with five cuts. The appropriate choice of planting time is essential for the good development of the sugarcane crop, which requires ideal climatic conditions to develop and accumulate sugar. For its growth, sugarcane needs high water availability, high temperatures, and a high level of solar radiation. The most important characteristics of sugar cane for the ethanol and electricity production process are the sugar and fiber content. The composition of sugarcane varies depending on the variety of sugarcane cultivars, soil, climate, water availability, and harvest time, among other aspects.
The amount of total available energy delivered by sugarcane for the sample under study can be observed in
Table 3.
The average values of energy delivered per ton of sugarcane presented in studies already carried out are within the maximum and minimum limits presented in this article and very close to the calculated averages, which presents robustness in the data obtained. However, it should be noted that for straw, this article considers that 100% of the straw remains in the field.
6. EROI in the Ethanol Production Flow
Energy return on investment (EROI) is the amount of energy that must be consumed to produce a certain amount of energy. So, when an EROI analysis is applied, consequently we are carrying out in the foreground an energy analysis of the production process to be analyzed [
48,
49].
A crucial step that is often neglected is the need to select the appropriate limits for an EROI analysis, and, based on these limits, it becomes possible to define the EROI due to the knowledge of the gross energy that the system delivers, as well as the amount of energy involved in the process for the production of this gross energy. So, the determination of the EROI occurs through the relationship between the gross energy that the system delivers and the sum of the amount of energy for the production of this gross energy [
50].
In the same way, the EROI can be interpreted as the ratio between the energy that the production system provides throughout its useful life and the energy needed to build, operate, and dismantle the entire production system; that is, to produce a gross flow energy constant, if a flow of energy is necessary to operate and maintain the project or enterprise, it must also be considered a construction energy consumption for the infrastructure involved and at the end of the project duration, some energy, for its deactivation, presenting in this way the total net energy production of the productive complex during its entire useful life [
51].
In another way, the EROI can be defined as the ratio between the energy produced by the system and the energy invested in the system [
52].
The EROI is presented as an indicator commonly used to report the general efficiency of the process. However, the arguments used are simplistic, mainly because this indicator does not consider whether the energy flow is of renewable or fossil origin [
53]
However, some authors use the same formulation used for the EROI for the term energy balance. This occurs as a function of the ratio of the energy output and input portions, that is, the delivered energy portion in the numerator and the energy input portion in the denominator, or requested by the system [
54].
In this way, the EROI can be described as an energy efficiency indicator based on the LCA (life cycle assessment) approach, in which it determines the amount of net energy produced by the source, taking into account the energy flows involved in all stages of the production process during its useful life for construction, fueling costs, maintenance, and decommissioning. To fulfill all the requirements of a bioeconomy, bioenergy production must also be analyzed in terms of energy efficiency. In this context, the EROI is generally used to show the advantages or disadvantages of a fuel or a biofuel, considering aspects such as the environment, energy balance, and even its economic aspects; that is, this indicator demonstrates the efficiency of the energy system through a simple relationship between the energy output and input of the system [
55].
For the sugar and alcohol sector, the use of biomass as energy needs to consider the energy balance of the production chain for its production and subsequent transformation. The energy analysis of biomass, through the primary energy contained in sugarcane, can be an interesting alternative to the use of bagasse, straw, or sucrose independently. These types of studies are recommended to develop or update techniques that allow the primary energy of sugarcane to be used more efficiently [
9]. For the sugarcane industry, some specialists in the sector have started to consider sugarcane as an energy raw material, rather than a food raw material, so other characteristics related to the total primary energy content have become important quality parameters. The second point deals with how efficient this primary energy is when converted into useful energy products such as ethanol and excess electricity [
56].
In this article, based on the presented results of energy consumption in the ethanol production flow, the EROI will be determined through the relationship between the energy that the production system delivers to society and the energy consumption to produce this delivered energy. The energy that the system delivers to society refers to the energy contained in the volume of ethanol produced and the amount of excess electricity to be made available to the network, and the energy consumption of the system refers to the sum of the amount of energy consumed in each stage of the production process [
3]. The values for the EROI in the ethanol production flow can be seen in
Table 14.
In
Appendix A of this article, the energy flow for the production of hydrated ethanol and anhydrous ethanol can be observed.
7. Competitiveness of Sugarcane Ethanol Compared to Fossil Fuels
The competitiveness of sugarcane ethanol produced in Brazil with fossil fuels, specifically gasoline, can be evaluated through two factors: (a) environmental benefits; and (b) energy efficiency in the sugarcane ethanol production process compared to gasoline. The factor-related to environmental benefits in the use of sugarcane ethanol is justified by the reduction in greenhouse gas emissions. This reduction is due to a lower volume of carbon dioxide emissions from cultivation to combustion compared to fossil fuels. Another environmental benefit of using sugarcane ethanol is the use of sugarcane as a raw material, a source of renewable energy, and the generation of residual energy through the use of residues such as bagasse and vinasse for additional energy generation, contributing to the overall energy efficiency of the process [
3].
On the other hand, ethanol produced in Brazil has about 34% less energy per unit volume than gasoline. However, the cost–benefit of ethanol compared to gasoline is not solely based on the amount of available energy, considering that ethanol has a higher octane rating, which enhances performance beyond the expected 66% of gasoline, corresponding to the difference in pure energy content [
57].
To assess the factors related to energy efficiency, it is important to understand the characteristics of gasoline produced and marketed in Brazil. Gasoline in Brazil consists of molecules with 5 to 12 carbons and is called type A gasoline. It has a higher heating value of 47 MJ/kg and a density of 0.745 g/cm3. To be sold in Brazil, distributors must blend type A gasoline with anhydrous ethanol, and this blend becomes known as type C gasoline.
The percentage of anhydrous ethanol in the blend can vary between 18 and 27%, as determined by the Interministerial Council of Sugar and Alcohol (CIMA) [
58].
The production of sugarcane ethanol in Brazil is limited by the need for space for cultivation and competition with other food crops. In Brazil, ethanol is more expensive than gasoline; however, this biofuel is responsible for fueling flex-fuel vehicles. In 2019, Brazil produced 35.307 million liters of ethanol, of which 24.899 million liters were hydrated and 10.407 million liters were anhydrous. The hydrated form is used directly in vehicles with engines that allow its use, and the anhydrous form is blended with gasoline [
59].
The energy efficiency of the production process of a fuel can be verified and compared through the Energy Return on Investment (EROI). In this context, the EROI of gasoline produced and marketed in Brazil varies between 2.34 and 5.53 for type A gasoline and between 3.12 and 5.50 for type C gasoline, according to data presented for the period from 2010 to 2019 [
58].
Therefore, factors related to environmental benefits, energy generation through residues, and energy efficiency in the production process of ethanol, when compared to gasoline, are more advantageous, justifying the competitiveness of ethanol against gasoline.
8. Conclusions
The results presented for the EROI (Energy Return on Investment) of sugarcane ethanol are satisfactory and robust, confirming the current production format used in sugarcane ethanol plants. When evaluating the values for the EROI of ethanol in both the industrial and distribution stages, they are above 1.00. This indicates a return on invested energy, although these values are low due to the high energy consumption in the agricultural and industrial stages.
However, when calculating the EROI of ethanol using only the fossil fuel utilized, considering the autonomy in energy generation in sugarcane ethanol plants, the values found for the EROI of ethanol in the industrial stage range between 8.20 and 7.08. For the distribution stage, these values are between 7.29 and 6.52, demonstrating a significant increase and strongly validating the return on invested energy and the current production model in an autonomous ethanol production plant.
On the other hand, the EROI for gasoline produced and sold in Brazil ranges between 2.34 and 5.53 for type A gasoline and between 3.12 and 5.50 for type C gasoline. Therefore, the comparison between the values presented for the EROI of sugarcane ethanol and the EROI of gasoline demonstrates the complete competitiveness of sugarcane ethanol compared to gasoline, particularly considering environmental factors and energy efficiency in the production flow.