<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JPEE</journal-id><journal-title-group><journal-title>Journal of Power and Energy Engineering</journal-title></journal-title-group><issn pub-type="epub">2327-588X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jpee.2022.105002</article-id><article-id pub-id-type="publisher-id">JPEE-117433</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Engineering</subject></subj-group></article-categories><title-group><article-title>
 
 
  Determination of the Place of Implementation of a Biorefinery Based on Logistics Parameters
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shara</surname><given-names>K. M. J. Leal</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yordanka</surname><given-names>R. Cruz</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Vinicius</surname><given-names>Rossa</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gisel</surname><given-names>Ch. Díaz</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yedier</surname><given-names>R. Padrón</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Donato</surname><given-names>A. G. Aranda</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rene</surname><given-names>G. Carlíz</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>School of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil</addr-line></aff><aff id="aff2"><addr-line>Institute of Chemistry, Fluminense Federal University, Niterói, Brazil</addr-line></aff><pub-date pub-type="epub"><day>13</day><month>05</month><year>2022</year></pub-date><volume>10</volume><issue>05</issue><fpage>22</fpage><lpage>38</lpage><history><date date-type="received"><day>12,</day>	<month>April</month>	<year>2022</year></date><date date-type="rev-recd"><day>27,</day>	<month>May</month>	<year>2022</year>	</date><date date-type="accepted"><day>30,</day>	<month>May</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Airlines and the aviation industry are committed to emission reduction targets. Biokerosene was pointed out as one of the key elements to achiev
  ing
   this goal. The use of oilseeds in the production of biokerosene is interesting due to the great Brazilian experience in the production of biofuels from this raw material. In view of this scenario, this dissertation has as its main objective the definition of the place of implantation of a biorefinery in Brazilian territory that has aviation biokerosene as its main product. For this, data on supply and demand for fossil aviation kerosene in Brazilian regions were collected, an extensive review was carried out in scientific articles on the oleaginous raw materials used for the production of this biofuel, 
  and 
  logistical parameters were selected and used as criteria for that selection. The oilseeds selected for the production of biofuel were maca&#250;ba and soybean and the state 
  was 
  chosen for the implementation of the biorefinery was Goi&#225;s. Based on logistical parameters, the city of Formosa (GO) was selected to host the biorefinery. The soybean crushers located in Luziania, An&#225;polis, Ipameri
  ,
   and Itumbiara were chosen as suppliers of soybean oil and the city of Formosa (GO) as the headquarters for the commercial planting of maca&#250;ba. The destination of this fuel will be Petrobr&#225;s Distribuidora S.A., an aviation fuel distributor authorized by the ANP based in the city of Bras&#237;lia (DF).
 
</p></abstract><kwd-group><kwd>Biokerosene</kwd><kwd> Biofuels</kwd><kwd> Oilseeds</kwd><kwd> Biorefinery</kwd><kwd> Aviation</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Biofuels are fuels produced from biomass renewable biological sources [<xref ref-type="bibr" rid="scirp.117433-ref1">1</xref>]. The world fuel market has increased its interest in biofuels, as a result of the threat of oil shortages, fluctuating prices of fossil fuels, global conflicts that can contribute to instability in the prices of these fuels, and the need to reduce greenhouse gas emissions of the greenhouse effect that contribute to global warming and increased pollution [<xref ref-type="bibr" rid="scirp.117433-ref2">2</xref>].</p><p>Decarbonization of the aviation sector plays an important role in mitigating the impact of climate change and biofuels will be key to achieving negative carbon growth by 2050 [<xref ref-type="bibr" rid="scirp.117433-ref3">3</xref>].</p><p>The aircraft has the challenge of halving carbon dioxide emissions by 2050 compared to 2005. Biokerosene will play a significant role in achieving this goal [<xref ref-type="bibr" rid="scirp.117433-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.117433-ref5">5</xref>]. This biofuel is a key element in the strategy of the aviation industry to reduce operating costs and environmental impacts [<xref ref-type="bibr" rid="scirp.117433-ref6">6</xref>]. Brazil has great potential in the development of sustainable biofuels for aviation, due to its long experience with biofuels [<xref ref-type="bibr" rid="scirp.117433-ref7">7</xref>].</p><p>According to Brazilian Law No. 12,490, of September 16, 2011, aviation biokerosene is defined as [<xref ref-type="bibr" rid="scirp.117433-ref8">8</xref>]:</p><p>“Substance derived from renewable biomass that can be used in aeronautical turbojets and turboprops or, according to regulation, in another type of application that can partially or totally replace fossil fuel [<xref ref-type="bibr" rid="scirp.117433-ref8">8</xref>] ”.</p><p>Biokerosene can be produced from a wide variety of raw materials and production routes. Currently, the production route from esters and hydro processed fatty acids using vegetable oils is the most used, as it is the only commercially available technology, and paraffinic kerosene synthesized from esters and hydro processed fatty acids (HEFA-SPK) is approved as a blending fuel, drop-in by the American Society for Testing and Materials (ASTM) [<xref ref-type="bibr" rid="scirp.117433-ref9">9</xref>]. This production route is the most promising and studied route for the production of biokerosene from vegetable oils [<xref ref-type="bibr" rid="scirp.117433-ref10">10</xref>]. Different raw materials have been used for the HEFA route, such as camelina, jatropha, maca&#250;ba, palm, soy, and cooking oil [<xref ref-type="bibr" rid="scirp.117433-ref11">11</xref>].</p><p>The National Petroleum Agency (ANP) Resolution No. 778, of April 5, 2019, establishes the specifications of fossil-based aviation kerosene (QAV-1), alternative aviation kerosene (alternative QAV), and QAV mixture-1 with alternate QAV. According to this resolution, the maximum mixing ratio of biokerosene (alternative QAV) produced by hydroprocessing esters and fatty acids to QAV-1 is 50% [<xref ref-type="bibr" rid="scirp.117433-ref12">12</xref>].</p><p>The HEFA process uses proven technologies operating on a commercial scale worldwide, the objective of which is to convert vegetable oils and animal fats into biofuels that are chemically equivalent to fossil fuels [<xref ref-type="bibr" rid="scirp.117433-ref13">13</xref>]. It involves hydrogenation and deoxygenation reactions of triglycerides to remove unsaturated carbon chains and fatty acid oxygen. Removing the installations improves the stability of the final fuel, while the removal of oxygen ensures low reactivity with water and an increase in calorific value [<xref ref-type="bibr" rid="scirp.117433-ref14">14</xref>].</p><p>Due to Brazil's high experience in the use of biomass for energy purposes and the wide availability of resources throughout its territory, the country can be considered a potential producer of biokerosene. The use of oilseeds is interesting due to the great Brazilian experience in the production of biofuels from this raw material [<xref ref-type="bibr" rid="scirp.117433-ref7">7</xref>].</p><p>The insertion of the concept of biorefinery in plants producing biofuels is of great relevance, as it can lead to cost reduction and profit increase. It also adds value and creates new products, transforming what in the past was called waste into what is now called a by-product [<xref ref-type="bibr" rid="scirp.117433-ref15">15</xref>]. Factors such as raw material availability, accessibility, and cost are crucial for the economy of a biorefinery platform [<xref ref-type="bibr" rid="scirp.117433-ref16">16</xref>].</p><p>A complete definition of biorefinery was produced by the International Energy Agency (IEA) Bioenergy Task 42, which establishes it as sustainable processing of biomass into a spectrum of marketable products and energy [<xref ref-type="bibr" rid="scirp.117433-ref17">17</xref>]. The biorefinery concept is considered the best option to transform the various biomass systems into value-added products [<xref ref-type="bibr" rid="scirp.117433-ref18">18</xref>]. In this work, the concept of biorefinery was applied in the preferential production of aviation biokerosene from vegetable oils, in order to create a new marketable product, the pulp and almond pie, a by-product that will be processed and sold as animal feed. Also, through the use of endocarp, mesocarp, and bunches and stems of maca&#250;ba to generate energy in the boiler in order to minimize effluents, minimize costs, maximize profit and reduce environmental impacts.</p><p>Facility location modeling is an important tool to assist in locating commercial facilities, such as factories, refineries, warehouses, ports, and public stations [<xref ref-type="bibr" rid="scirp.117433-ref19">19</xref>]. There are several contexts in which location models can be used, but their main characteristics are always the same: an environment that includes metric, consumers in known locations, and facilities whose locations must be determined [<xref ref-type="bibr" rid="scirp.117433-ref20">20</xref>].</p><p>The parameters of the logistic model are important for the determination of a logistic network proposal, they are the determination of the minimum geographic unit for the location model, the annual consumption of QAV at the selected airport, the capacity of supplying raw material by the farmers of the region and the cost of transporting the raw materials to the biorefinery [<xref ref-type="bibr" rid="scirp.117433-ref21">21</xref>].</p><p>Thus, this work presents as the main objective the definition of the location of implantation of a biorefinery in Brazilian territory based on logistical parameters. This implementation aims to contribute to reducing the jet fuel deficit in some Brazilian states by replacing part of this fuel with jet biokerosene.</p></sec><sec id="s2"><title>2. Methodology</title><p>Initially, data on the supply and demand for fossil aviation kerosene in Brazilian regions were collected in order to determine which region had the greatest deficit for this fuel. The data were collected in the 2019 Brazilian statistical yearbook of oil, natural gas, and biofuels, produced by the National Agency of Petroleum, Natural Gas and Biofuels (ANP) and made available on the official website of the federal government.</p><p>An extensive review of scientific articles was carried out on the oleaginous raw materials used for the production of aviation biokerosene. The choice of raw materials was based on the selection of those that presented great potential for the production of this biofuel in the region selected for the installation of the biorefinery. From this review, it was also possible to select the biorefinery model used in this work.</p><p>Subsequently, the logistical parameters and data sources used to determine the location of the biorefinery were described. The choice of parameters was based on the work of P&#233;rez [<xref ref-type="bibr" rid="scirp.117433-ref21">21</xref>], they are:</p><p>1) Determination of the minimum geographic unit for the location model;</p><p>2) Annual consumption of QAV at the selected airport;</p><p>3) Ability to supply raw material by farmers in the region;</p><p>4) Cost of transporting raw materials to the biorefinery.</p><p>The minimum geographic unit is the municipality [<xref ref-type="bibr" rid="scirp.117433-ref21">21</xref>].</p><p>In the set i {1, 2, 3, 4, 5, ..., n}, n is the total number of candidate municipalities for the final destination of biokerosene. In the set j {1, 2, 3, 4, 5, ...,m}, and in the set K {1, 2, 3, 4, 5, ..., p}, m and p are the total number of municipalities capable of to supply raw material.</p><p>To determine the annual consumption of QAV, the demand data for this fuel available in the Brazilian statistical yearbook published by the ANP in 2019 was used. The yearbook indicated the demand for QAV in cubic meters in Bras&#237;lia between the years 2009 and 2018 and the average demand value was used.</p><p>For the production of 22.4 kg of biokerosene, 45.4 kg of soybean oil are needed [<xref ref-type="bibr" rid="scirp.117433-ref13">13</xref>]. From the demand for QAV and the specific mass of biokerosene at 20˚C, it was possible to determine the mass of soybean oil needed to produce this biofuel. The specific mass of the QAV at 20˚C is 771.3 kg∙m<sup>−3</sup>, a value used as a reference for the alternative QAV in this work [<xref ref-type="bibr" rid="scirp.117433-ref22">22</xref>].</p><p>For the production of 30 L of alternative QAV, 45.4 kg of maca&#250;ba oil are needed, 10,000 kg of fresh fruit produce 2141.9 kg of maca&#250;ba oil [<xref ref-type="bibr" rid="scirp.117433-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.117433-ref24">24</xref>]. A palm tree produces an average of 6 bunches per year and each bunch produces an average of 14 kg of fruit [<xref ref-type="bibr" rid="scirp.117433-ref24">24</xref>]. From these references, it was possible to determine the mass of maca&#250;ba needed to produce the fuel and also the amount of palm trees needed in a commercial plant in order to meet the demand for its fruit.</p><p>In order to obtain the cost of transporting the raw material, the types of transport routes available for the transport of soybean oil were first analyzed. Resolution No. 5867, of January 14, 2020, establishes the general rules and the general equation, represented by Equation (1), was used to determine the minimum price for the remunerated road freight transport service. The CC<sub>ce</sub> and CCD<sub>ce</sub> values are presented in Annex II of this resolution [<xref ref-type="bibr" rid="scirp.117433-ref25">25</xref>].</p><p>T C c a = C C c a + d ⋅ D C C c a (1)</p><p>where:</p><p>TC<sub>ca</sub>: total operational cost of road transport of cargo type “c” using a vehicle combination of axle number class “a” (R$);</p><p>CC<sub>ca</sub>: cost of loading and unloading of load type “c” and number of axles class “a” (R$);</p><p>d: distance traveled in the transport operation (km);</p><p>DCC<sub>ca</sub>: displacement cost coefficient of type of load “c” and of vehicle composition of class of number of axles “a” (R$∙km<sup>−1</sup>).</p><p>To determine the price of rail freight transport, the tariff simulator on the website of the National Land Transport Agency (ANTT) was used, which presents the type of raw material to be transported and the rail distance as input variables [<xref ref-type="bibr" rid="scirp.117433-ref26">26</xref>]. In this way, the crushers that had the lowest cost of transporting the load to the biorefinery were selected as soybean oil suppliers.</p></sec><sec id="s3"><title>3. Results and Discussions</title><sec id="s3_1"><title>3.1. Supply and Demand for Fossil QAV in Brazilian Regions</title><p><xref ref-type="table" rid="table1">Table 1</xref> shows the differences between supply and demand for QAV in cubic meters in Brazilian regions [<xref ref-type="bibr" rid="scirp.117433-ref27">27</xref>]. As can be seen, the region with the greatest deficit for this fuel is the Midwest, a region that may have its total or partially supplied by aviation biokerosene, providing greater autonomy to the region's airports. More recent data were not used due to the Covid-19 pandemic, which changed the flow of passengers and, consequently, the number of flights carried out by airlines in the domestic and international markets.</p></sec><sec id="s3_2"><title>3.2. Raw Material</title><p>In the short term, soybean presents itself as the main oilseed raw material for the production of biokerosene in Brazil, as it is the only one that meets all the basic and essential parameters for the sustainability of a biokerosene program in Brazil. There are three basic parameters, the first is related to technological development, and Brazil is a world reference in the generation of technologies for the cultivation of this oilseed in tropical and subtropical regions. The second parameter is related to the production scale, soy is the most produced oilseed in the country. The third parameter is related to the logistics of spatial distribution, it is one of the only oilseeds cultivated in all regions of the country [<xref ref-type="bibr" rid="scirp.117433-ref28">28</xref>].</p><p>Souza, Mendes and Aranda [<xref ref-type="bibr" rid="scirp.117433-ref14">14</xref>] considered soy the most promising raw material for the production of biokerosene from oilseed raw material in southeastern Brazil. According to the authors, soy was in first place mainly because of its</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Difference between QAV supply and demand in Brazilian regions in 2018</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Region</th><th align="center" valign="middle" >National supply (m<sup>3</sup>)</th><th align="center" valign="middle" >Demand (m<sup>3</sup>)</th><th align="center" valign="middle" >Supply-Demand (m<sup>3</sup>)</th></tr></thead><tr><td align="center" valign="middle" >North</td><td align="center" valign="middle" >125,360</td><td align="center" valign="middle" >337,441</td><td align="center" valign="middle" >−212.081</td></tr><tr><td align="center" valign="middle" >North East</td><td align="center" valign="middle" >557,751</td><td align="center" valign="middle" >1,115,124</td><td align="center" valign="middle" >−557.373</td></tr><tr><td align="center" valign="middle" >Southeast</td><td align="center" valign="middle" >5,220,395</td><td align="center" valign="middle" >4,565,398</td><td align="center" valign="middle" >654.997</td></tr><tr><td align="center" valign="middle" >South</td><td align="center" valign="middle" >472,827</td><td align="center" valign="middle" >486,175</td><td align="center" valign="middle" >−13.348</td></tr><tr><td align="center" valign="middle" >Midwest</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >660,069</td><td align="center" valign="middle" >−660.069</td></tr></tbody></table></table-wrap><p>technological dominance, high production scale and lower cost of its oil. However, they emphasized the importance of evaluating and using other potential crops, since soy is already the main oleaginous raw material used for the production of biodiesel in the country. They indicated maca&#250;ba as a potential crop for the production of biokerosene due to its high productivity, yield and oil content. According to this study, maca&#250;ba oil mass composition reaches 43.45% compared to only 20% of soybean, maca&#250;ba productivity reaches 24,000 kg/ha against only 3244 kg/ha of soybean, which gives high efficiency in land use.</p><p>It is strategic to diversify the raw material for the production of bioenergy in Brazil. From a social point of view, there is a great need to diversify the biomass so that the regional potential is used. A strategy for this diversification would be the use of maca&#250;ba in the North, Northeast and Midwest of the country. Embrapa Agroenergia has focused its research on topics related to the diversification of biomass and is studying maca&#250;ba for the production of biofuels [<xref ref-type="bibr" rid="scirp.117433-ref29">29</xref>].</p><p>Silva et al. [<xref ref-type="bibr" rid="scirp.117433-ref30">30</xref>] demonstrate in their work that maca&#250;ba has high potential as a raw material for the industrial production of biokerosene and green diesel. Esters produced from almond oil have a composition, in relation to the size of the molecular chain, similar to the hydrocarbons present in aviation kerosene, thus being able to be used for the production of biokerosene and used in mixtures with fossil kerosene, as long as it respects to physical parameters of quality [<xref ref-type="bibr" rid="scirp.117433-ref31">31</xref>]. In Brazil, maca&#250;ba is considered the palm with the greatest dispersion, groups of importance are located in the North, Northeast and Center-West [<xref ref-type="bibr" rid="scirp.117433-ref32">32</xref>].</p><p>The by-products formed from the extraction of maca&#250;ba oil can be used as animal feed [<xref ref-type="bibr" rid="scirp.117433-ref33">33</xref>]. The endocarp of its fruit is a lignocellulosic residue that can be used for the production of activated carbon [<xref ref-type="bibr" rid="scirp.117433-ref34">34</xref>]. Its by-products can also be used for energy production through production of pellets and coal. The possibility of using the by-products of raw material processing is attractive, as it promotes the generation of environmental and economic benefits [<xref ref-type="bibr" rid="scirp.117433-ref35">35</xref>].</p><p>It is expected that seeds with higher oil yield than soybeans will increase their share as raw material for the production of biofuels in Brazil. Ideally, each region of the country should plant its own raw material and produce biofuel from it in local industrial plants [<xref ref-type="bibr" rid="scirp.117433-ref36">36</xref>].</p><p>The Midwest region is the largest producer of soybeans in Brazil [<xref ref-type="bibr" rid="scirp.117433-ref37">37</xref>]. Maca&#250;ba is found mainly in Goi&#225;s (Central-West), Mato Grosso (Central-West), Mato Grosso do Sul (Central-West) and Minas Gerais (Southeast) [<xref ref-type="bibr" rid="scirp.117433-ref38">38</xref>]. Soybean and maca&#250;ba were the two oilseeds selected for the next stage of this study, which aims to promote the logistical analysis of the implementation of a biorefinery in Brazil for the production of aviation biokerosene and other products such as HVO (Hydrogenated vegetable oil or Green Diesel, as it is also known), naphtha, among others.</p></sec><sec id="s3_3"><title>3.3. Biorefinery</title><p>The biorefinery model used in this work for the production of biokerosene and other products from any type of vegetable oil was taken from the work of Pearlson, Wollersheim and Hileman [<xref ref-type="bibr" rid="scirp.117433-ref13">13</xref>]. From this model there was a change in the hydrogen production process. This biorefinery has a commercial HEFA plant project and consists of several unit processes, such as: raw material storage (vegetable oil), hydrodeoxygenation, catalytic cracking and selective isomerization, heat integration to generate steam and cooling water, cleaning and fuel gas recycling, hydrogen gas production, product separation, and product storage and mixing. <xref ref-type="fig" rid="fig1">Figure 1</xref>, based on the work of Pearlson, Wollershim and Hileman [<xref ref-type="bibr" rid="scirp.117433-ref13">13</xref>], provides a general overview of the structure of the process.</p><p>In this process, vegetable oil is fed into a hydrotreater with hydrogen gas. The deoxygenated effluent is cooled and sent to a catalytic cracking and isomerization unit. The isomerized hydrocarbon product is then cooled with cooling water before being sent to a separation tower where mixed paraffin gases, carbon dioxide and excess hydrogen are separated from the liquid products. The paraffin gases and hydrogen are separated from the carbon dioxide and recycled to the hydrotreater. Liquid products are separated into liquefied petroleum gas (LPG), naphtha, biokerosene and green diesel streams and then sent to product storage tanks. Wastewater is separated from the product stream and sent to treatment units.</p><p><xref ref-type="table" rid="table2">Table 2</xref> shows the profile of the products, with the process having 45.4 kg of soybean oil and 1.8 kg of hydrogen as raw materials [<xref ref-type="bibr" rid="scirp.117433-ref13">13</xref>].</p><p><xref ref-type="table" rid="table3">Table 3</xref> shows the volume of naphtha, biokerosene and green diesel produced</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Yields of products based on 45.4 kg of soybean oil</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Products</th><th align="center" valign="middle" >Mass (kg)</th></tr></thead><tr><td align="center" valign="middle" >Water</td><td align="center" valign="middle" >4.0</td></tr><tr><td align="center" valign="middle" >Carbon dioxide</td><td align="center" valign="middle" >2.4</td></tr><tr><td align="center" valign="middle" >Propane</td><td align="center" valign="middle" >1.9</td></tr><tr><td align="center" valign="middle" >LPG</td><td align="center" valign="middle" >2.7</td></tr><tr><td align="center" valign="middle" >Naphtha</td><td align="center" valign="middle" >3.2</td></tr><tr><td align="center" valign="middle" >Biokerosene</td><td align="center" valign="middle" >22.4</td></tr><tr><td align="center" valign="middle" >Green diesel</td><td align="center" valign="middle" >10.6</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Yields based on 45.4 kg of maca&#250;ba oil</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Products</th><th align="center" valign="middle" >Volume (L)</th></tr></thead><tr><td align="center" valign="middle" >Naphtha</td><td align="center" valign="middle" >4.0</td></tr><tr><td align="center" valign="middle" >Biokerosene</td><td align="center" valign="middle" >30.0</td></tr><tr><td align="center" valign="middle" >Green diesel</td><td align="center" valign="middle" >13.7</td></tr></tbody></table></table-wrap><p>from 45.4 kg of maca&#250;ba oil and 1.5 kg of H<sub>2 </sub>as raw materials [<xref ref-type="bibr" rid="scirp.117433-ref23">23</xref>]. Hydrogen is produced industrially by steam reforming of hydrocarbons such as methane, naphtha, LPG, refinery gas (C1 - C2), among others [<xref ref-type="bibr" rid="scirp.117433-ref39">39</xref>].</p><p>The steam reforming of LPG and propane, raw materials produced only by processing soybean oil, already makes the process self-sufficient in H<sub>2</sub>, as it produces the amount of hydrogen gas needed by the biorefinery. As for the other raw materials, soybean oil will be purchased from agro-industrial plants, which process soybeans. As for maca&#250;ba, the fruit will be acquired and processed in the biorefinery itself.</p><p>The green diesel produced will be used as fuel in agricultural machinery and trucks used in the biorefinery. The by-products of maca&#250;ba fruit processing are the endocarp, the epicarp and the pie. The epicarp and endocarp will be used as fuel in the boiler [<xref ref-type="bibr" rid="scirp.117433-ref35">35</xref>]. The pulp and almond pies will be sold as animal feed to producers in the region, as they have a rich nutritional composition [<xref ref-type="bibr" rid="scirp.117433-ref40">40</xref>]. The processing of maca&#250;ba fruit is self-sufficient in terms of energy, through the burning of stems and bunches of fresh fruits [<xref ref-type="bibr" rid="scirp.117433-ref23">23</xref>].</p></sec><sec id="s3_4"><title>3.4. Biokerosene Logistics</title><p>The supply chain involving a biofuel production unit consists of supplying biomass, transporting the biomass by truck to the production unit, converting the biomass into fuel and transporting the biofuel by tanker truck to the airport facilities [<xref ref-type="bibr" rid="scirp.117433-ref41">41</xref>]. Therefore, the biokerosene production logistics comprises the transport of raw materials to the biorefinery, the production of oil, the production of hydrogen gas, the production of biokerosene and its transport to authorized distributors.</p><p>The determination of an implantation site was based on location alternatives considering an existing infrastructure, suppliers of raw materials available in the region and Petrobras Distribuidora S.A., an aviation fuel distributor authorized by the ANP, as the final destination.</p></sec><sec id="s3_5"><title>3.5. Determina&#231;&#227;o dos Par&#226;metros Log&#237;sticos</title><sec id="s3_5_1"><title>3.5.1. Minimum Geographic Unit for the Location Model</title><p>According to P&#233;rez [<xref ref-type="bibr" rid="scirp.117433-ref21">21</xref>], the minimum geographic unit is the municipality. The region selected for the construction of the logistics system is the Midwest, which has 3 states (Goi&#225;s, Mato Grosso and Mato Grosso do Sul), plus the Federal District, which together have 466 municipalities, which could be possible destinations for biokerosene. As aviation biokerosene will be produced to supply Bras&#237;lia International Airport, only distributors located in Bras&#237;lia will be used, in order to obtain the lowest cost of transporting aviation fuel to the airport, therefore n = 1.</p><p>The only distributor located in Bras&#237;lia is Petrobras, which will be the final destination for biokerosene [<xref ref-type="bibr" rid="scirp.117433-ref42">42</xref>].</p><p>In order to avoid charging interstate fees, all the logistics that make up the biorefinery will be built in the state of Goi&#225;s. Thus, the possible origins for the raw materials will be the 246 municipalities belonging to the state. In the set j, m is the total number of municipalities in the state that have soybean crushers to supply oil to the biorefinery. <xref ref-type="table" rid="table4">Table 4</xref> shows the 7 municipalities with soybean crushing units located in the state of Goi&#225;s, so m = 7 [<xref ref-type="bibr" rid="scirp.117433-ref43">43</xref>] [<xref ref-type="bibr" rid="scirp.117433-ref44">44</xref>].</p><p>In the set K, p is the total number of municipalities in Goi&#225;s that have natural massifs or commercial maca&#250;ba plantations to supply their fruit. Vilela et al. [<xref ref-type="bibr" rid="scirp.117433-ref45">45</xref>] mapped the natural massifs of maca&#250;ba in some municipalities in Goi&#225;s, whose number of individuals is shown in <xref ref-type="table" rid="table5">Table 5</xref>.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Location of soybean crushing units in the state of Goi&#225;s and their processing capacities</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Company</th><th align="center" valign="middle" >City</th><th align="center" valign="middle" >Soybean processing capacity (ton year<sup>−1</sup>)</th><th align="center" valign="middle" >Amount of soybean oil (ton year<sup>−1</sup>)</th></tr></thead><tr><td align="center" valign="middle" >Bunge</td><td align="center" valign="middle" >Luzi&#226;nia</td><td align="center" valign="middle" >584,000</td><td align="center" valign="middle" >115,515</td></tr><tr><td align="center" valign="middle" >Coinbra (Louis Dreyfus)</td><td align="center" valign="middle" >Jata&#237;</td><td align="center" valign="middle" >730,000</td><td align="center" valign="middle" >144,394</td></tr><tr><td align="center" valign="middle" >Caramuru</td><td align="center" valign="middle" >S&#227;o Sim&#227;o</td><td align="center" valign="middle" >657,000</td><td align="center" valign="middle" >129,955</td></tr><tr><td align="center" valign="middle" >Caramuru</td><td align="center" valign="middle" >Itumbiara</td><td align="center" valign="middle" >620,500</td><td align="center" valign="middle" >122,735</td></tr><tr><td align="center" valign="middle" >Comigo</td><td align="center" valign="middle" >Rio Verde</td><td align="center" valign="middle" >365,000</td><td align="center" valign="middle" >72,197</td></tr><tr><td align="center" valign="middle" >Cargill</td><td align="center" valign="middle" >Rio Verde</td><td align="center" valign="middle" >500,000</td><td align="center" valign="middle" >98,900</td></tr><tr><td align="center" valign="middle" >Brejeiro</td><td align="center" valign="middle" >Rio Verde</td><td align="center" valign="middle" >133,333</td><td align="center" valign="middle" >26,373</td></tr><tr><td align="center" valign="middle" >Brejeiro</td><td align="center" valign="middle" >An&#225;polis</td><td align="center" valign="middle" >133,333</td><td align="center" valign="middle" >26,373</td></tr><tr><td align="center" valign="middle" >Granol</td><td align="center" valign="middle" >An&#225;polis</td><td align="center" valign="middle" >255,500</td><td align="center" valign="middle" >50,538</td></tr><tr><td align="center" valign="middle" >Carol</td><td align="center" valign="middle" >Ipameri</td><td align="center" valign="middle" >100,000</td><td align="center" valign="middle" >19,780</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Number of individuals mapped by municipality</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Municipality</th><th align="center" valign="middle" >Number of individuals</th></tr></thead><tr><td align="center" valign="middle" >Formosa - GO</td><td align="center" valign="middle" >15,752</td></tr><tr><td align="center" valign="middle" >Bras&#237;lia - DF</td><td align="center" valign="middle" >1779</td></tr><tr><td align="center" valign="middle" >Rio Parana&#237;ba - GO</td><td align="center" valign="middle" >281</td></tr><tr><td align="center" valign="middle" >Cabeceiras - GO</td><td align="center" valign="middle" >147</td></tr></tbody></table></table-wrap><p>As seen, the natural massifs of maca&#250;ba are distributed over 4 municipalities, so p = 4.</p></sec><sec id="s3_5_2"><title>3.5.2. Annual QAV Consumption at the Selected Airport</title><p>In this work, the average value (464,386.4 m<sup>3</sup>) of consumption per QAV between 2009 and 2018 will be used as a consumption reference for Bras&#237;lia. To formulate aviation kerosene C (QAV-C), alternative aviation kerosene (QAV alternative) must be added to aviation kerosene (QAV-1) in the proportion of a maximum of 50%, thus considering the maximum replacement percentage, the requested quantity of alternative QAV needed to supply the demand for QAV-C is 232,193.2 m<sup>3</sup>. The distribution of demand for QAV, indicated in <xref ref-type="fig" rid="fig2">Figure 2</xref>, throughout the year in Bras&#237;lia was not found, so it was projected based on the domestic demand of passengers transported at Bras&#237;lia International Airport throughout 2019.</p></sec><sec id="s3_5_3"><title>3.5.3. Ability to Supply Raw Material By Farmers in the Region</title><p>With the intention of promoting the diversification of oleaginous raw materials used in the production of biofuels in Brazil, maca&#250;ba will be the main raw material of the biorefinery, since soy is already one of the main raw materials in the production of biodiesel. In the short term, in a period of up to 5 years, soybean will provisionally be the main raw material for the production of biokerosene, since the palm trees that will be planted in the municipality of Formosa (GO) need this period to start their fruiting. After this period, the soybean will be used in the maca&#250;ba off-season.</p><p>Maca&#250;ba fruiting in the Midwest region occurs throughout the year and the fruits ripen mainly from September to January [<xref ref-type="bibr" rid="scirp.117433-ref46">46</xref>] [<xref ref-type="bibr" rid="scirp.117433-ref47">47</xref>]. Thus, maca&#250;ba will be used as a raw material for the production of biokerosene in the months of September to January and the oil of soybeans from February to August, the maca&#250;ba off-season period.</p><p>Knowing the annual demand for fossil aviation kerosene in Bras&#237;lia, the specific mass of biokerosene at 20˚C and the required amount of soybean oil needed to produce 22.4 kg of biokerosene, it was possible to determine the mass of soybean oil needed to meet the annual demand for this fuel in a period of up to 5 years, which is 365,502.5 t of soybean oil per year. After this period, soybean oil will be used in the biorefinery from February to August, thus requiring a total mass of 201,738.3 t of soybean oil.</p><p>As indicated in <xref ref-type="table" rid="table3">Table 3</xref>, for the production of 30 L of alternative QAV, 45.4 kg of maca&#250;ba oil are needed, consequently, to meet the demand for biokerosene from September to January, 156,015.3 t of maca&#250;ba oil are needed.</p><p>According to Rettore et al. [<xref ref-type="bibr" rid="scirp.117433-ref24">24</xref>], 10,000 kg of fresh fruit produce 2141.9 kg of maca&#250;ba oil, that is, for the production of 156,015.3 t of maca&#250;ba oil, 728,396.8 t of fresh fruit are needed. The fruiting of maca&#250;ba generally takes place between 4 and 5 years, with an average annual yield of 4 to 10 bunches per palm, depending on the fertility of the soil in the region. Each bunch can produce 12 to 15 kg of coconut. Thus, considering that each palm will produce 6 bunches per year and that each bunch will produce 14 kg of fruit, 8,671,391 palm trees will be needed to supply the total annual demand for fresh fruit.</p><p>The amount of palm trees mapped and identified in the study is small compared to the biorefinery demand and they are dispersed in several municipalities in the Center-West region. Formosa (GO) was the municipality with the largest number of mapped and grouped palm trees and, therefore, was chosen for the collection of fresh fruits needed by the biorefinery. The region mapped in the municipality of Formoso has 15,752 palm trees and, therefore, is capable of providing 1323.2 t of fruit per year. To increase the fruit supply capacity in this municipality in order to supply the need for maca&#250;ba fruits by the biorefinery, it is recommended the commercial planting of 8,655,639 palm trees close to the region where native palm trees are concentrated. As already shown, it is necessary to transport 728,396.8 t of maca&#250;ba fruit and 201,738.3 t of soybean oil to the biorefinery during the year. As a result of the greater demand for maca&#250;ba fruits, the biorefinery will be built in the municipality of Formosa (GO), thus promoting savings in the transport of raw materials.</p><p>It is important to emphasize that the soybean grain has approximately 20% oil in its mass composition. In this work, it was considered that soybean processing companies use mixed processing, which uses pressing with a solvent extraction system, which produces crude oil with an oil residue in the cake of 1.1% [<xref ref-type="bibr" rid="scirp.117433-ref48">48</xref>]. Thus, 365,502 are produced 5 t of soy oil/year by the crushers, 1,847,838.7 t of soy must be processed in the first years of operation of the biorefinery. For the production of 201,738.3 t of soy oil, it is necessary to process 1,019,910.5 t of soy by the crushers. <xref ref-type="table" rid="table6">Table 6</xref> specifies the type of oleaginous raw material to be acquired by the biorefinery and its annual demand in the initial five years of operation and after that period.</p></sec><sec id="s3_5_4"><title>3.5.4. Cost of Transporting the Raw Material to the Biorefinery</title><p>In order to determine the costs of transporting the raw material, it is first necessary to consider the type of transport route, that is, whether the transport will be by road, rail or waterway. Oliveira [<xref ref-type="bibr" rid="scirp.117433-ref49">49</xref>] indicates that the rivers close to the cities analyzed as possible suppliers of raw material have little navigability, so the waterway modal was disregarded.</p><p>In calculating the cost of road transport, using Equation (1), it was considered that soybean oil will be transported by 9-axle Romeo and Juliet trucks (truck trucks plus trailer) that can transport a maximum of 84 tons [<xref ref-type="bibr" rid="scirp.117433-ref50">50</xref>]. The distance via the road modal between the soy crushers and the biorefinery was determined using Google Maps.</p><p>The rail distance between the origin and destination stations, the input variable of the tariff simulator, was not found on the websites of ANTT, the Ministry of Infrastructure, the National Department of Transport Infrastructure (DNIT), VLI Log&#237;stica, among other means of information, so the value of the distance between the stations was considered to be the value of the distance in a straight line, given by the Rota Mapas website, between the cities that accommodate the origin stations and the destination stations in rail transport.</p><p>The FCA (Central-Atlantic Railroad) crosses the state of Goi&#225;s and has loading and unloading rail terminals in the municipalities of An&#225;polis, Pires do Rio, Luzi&#226;nia, Bras&#237;lia, Ipameri and Catal&#227;o [<xref ref-type="bibr" rid="scirp.117433-ref51">51</xref>].</p><p><xref ref-type="table" rid="table7">Table 7</xref> shows the distances from the cities of origin to Formosa (GO), the minimum price of road freight per ton transported, calculated from Equation (1), and the annual supply capacity of soybean oil.</p><p>The cities of An&#225;polis, Luzi&#226;nia, and Ipameri have loading and unloading stations belonging to the FCA, so the maximum rates for rail transport per ton transported from the cities of origin to Bras&#237;lia were calculated, since the city of Formosa does not have a railway station. <xref ref-type="table" rid="table8">Table 8</xref> shows the distances from the</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Demand for oilseed raw material</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Period</th><th align="center" valign="middle" >Oilseed raw material to be acquired by the biorefinery</th><th align="center" valign="middle" >Annual demand</th></tr></thead><tr><td align="center" valign="middle" >In the initial 5 years</td><td align="center" valign="middle" >Soy oil</td><td align="center" valign="middle" >365,502.5 t of soybean oil</td></tr><tr><td align="center" valign="middle" >After the initial 5 years from February to August (maca&#250;ba off-season period)</td><td align="center" valign="middle" >Soy oil</td><td align="center" valign="middle" >201,738.3 t of soybean oil</td></tr><tr><td align="center" valign="middle" >After the initial 5 years from September to January</td><td align="center" valign="middle" >macauba fruits</td><td align="center" valign="middle" >728,396.8 t of fruit</td></tr></tbody></table></table-wrap><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Distances from crushers to Formosa (GO), minimum price for road freight and annual soybean oil supply capacity</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Cities of Origin</th><th align="center" valign="middle" >Distance (km) to Formosa</th><th align="center" valign="middle" >Minimum Price (R$∙t<sup>−1</sup>)</th><th align="center" valign="middle" >Soybean oil (t∙year<sup>−1</sup>)</th></tr></thead><tr><td align="center" valign="middle" >Luzi&#226;nia</td><td align="center" valign="middle" >134.8</td><td align="center" valign="middle" >12.73</td><td align="center" valign="middle" >115,515</td></tr><tr><td align="center" valign="middle" >An&#225;polis</td><td align="center" valign="middle" >227.3</td><td align="center" valign="middle" >18.07</td><td align="center" valign="middle" >76,911</td></tr><tr><td align="center" valign="middle" >Ipameri</td><td align="center" valign="middle" >346.2</td><td align="center" valign="middle" >24.94</td><td align="center" valign="middle" >100,000</td></tr><tr><td align="center" valign="middle" >Itumbiara</td><td align="center" valign="middle" >482.6</td><td align="center" valign="middle" >32.82</td><td align="center" valign="middle" >122,735</td></tr><tr><td align="center" valign="middle" >Rio Verde</td><td align="center" valign="middle" >511.3</td><td align="center" valign="middle" >34.47</td><td align="center" valign="middle" >197,470</td></tr><tr><td align="center" valign="middle" >Jata&#237;</td><td align="center" valign="middle" >601.4</td><td align="center" valign="middle" >39.68</td><td align="center" valign="middle" >144,394</td></tr><tr><td align="center" valign="middle" >S&#227;o Sim&#227;o</td><td align="center" valign="middle" >646.0</td><td align="center" valign="middle" >42.25</td><td align="center" valign="middle" >129,394</td></tr></tbody></table></table-wrap><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Distance from crushers to Bras&#237;lia (DF) and maximum rail rate</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Cities of Origin</th><th align="center" valign="middle" >Distance (km) to Bras&#237;lia (DF)</th><th align="center" valign="middle" >Maximum tariff (R$∙t<sup>−1</sup>)</th></tr></thead><tr><td align="center" valign="middle" >Luzi&#226;nia</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >33.94</td></tr><tr><td align="center" valign="middle" >An&#225;polis</td><td align="center" valign="middle" >125</td><td align="center" valign="middle" >43.42</td></tr><tr><td align="center" valign="middle" >Ipameri</td><td align="center" valign="middle" >217</td><td align="center" valign="middle" >55.52</td></tr></tbody></table></table-wrap><p>cities of origin to Bras&#237;lia (DF), as well as the maximum rail fare, calculated from the fare simulator. As can be seen, the tariffs charged for rail transport are higher than those charged for road transport, for this reason, the possibility of using the rail modal was discarded.</p><p>Equation (1) shows that the minimum price of road freight is directly proportional to the distance between the cities of origin and destination, so the soybean oil suppliers located at a shorter distance from Formosa were selected. For the supply of soybean oil in the first five years of operation of the biorefinery, the crushers located in Luzi&#226;nia, An&#225;polis, Ipameri and Itumbiara were selected as suppliers. After this period, only the crushers present in Luzi&#226;nia, An&#225;polis, and Ipameri will be selected.</p></sec></sec></sec><sec id="s4"><title>4. Final Considerations</title><p>The location selected for the implementation of the biorefinery was the city of Formosa (GO). For the production of biofuel, soybean oil, maca&#250;ba oil and hydrogen gas will be used as raw materials. For the supply of soybean oil in the first five years of operation of the biorefinery, a period in which the palm trees did not begin to bear fruit, soybean crushers located in the cities of Luzi&#226;nia, An&#225;polis, Ipameri, and Itumbiara were selected as suppliers in the state of Goi&#225;s. After this period, only the crushers present in Luzi&#226;nia, An&#225;polis, and Ipameri will be selected and maca&#250;ba will be acquired from the commercial plantation that will be implemented in the city of Formosa. For future research, it is recommended to calculate the logistical cost related to the implementation of the biorefinery, as well as the calculation of the final price of this biofuel to distributors in order to provide subsidies to future investors.</p></sec><sec id="s5"><title>Acknowledgements</title><p>EPQB/UFRJ.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Leal, S.K.M.J., Cruz, Y.R., Rossa, V., D&#237;az, G.Ch., Padr&#243;n, Y.R., Aranda, D.A.G. and Carl&#237;z, R.G. (2022) Determination of the Place of Implementation of a Biorefinery Based on Logistics Parameters. 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