<?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">GEP</journal-id><journal-title-group><journal-title>Journal of Geoscience and Environment Protection</journal-title></journal-title-group><issn pub-type="epub">2327-4336</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/gep.2015.36012</article-id><article-id pub-id-type="publisher-id">GEP-59035</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Estimates and Spatial Distribution of Emissions from Sugar Cane Bagasse Fired Thermal Power Plants in Brazil
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ana</surname><given-names>Beatriz Kawashima</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>Marcos</surname><given-names>Vinícius Bueno de Morais</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>Leila</surname><given-names>Droprinchinski Martins</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Viviana</surname><given-names>Urbina</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sameh</surname><given-names>Adib Abou Rafee</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>Maurício</surname><given-names>Nonato Capucim</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>Jorge</surname><given-names>Alberto Martins</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Department of Atmospheric Sciences, University of S?o Paulo, S?o Paulo, Brazil </addr-line></aff><aff id="aff1"><addr-line>Department of Physics, Federal University of Technology-Parana, Londrina, Brazil</addr-line></aff><aff id="aff2"><addr-line>Department of Chemistry, Federal University of Technology-Parana, Londrina, Brazil</addr-line></aff><pub-date pub-type="epub"><day>25</day><month>08</month><year>2015</year></pub-date><volume>03</volume><issue>06</issue><fpage>72</fpage><lpage>76</lpage><history><date date-type="received"><day>10</day>	<month>June</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>21</month>	<year>August</year>	</date><date date-type="accepted"><day>25</day>	<month>August</month>	<year>2015</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>
 
 
   Sugar cane bagasse is one of the largest fuels used for electricity generation in Brazil and its usage has continuously increased to supply the energy demand. This paper presents emission inventory based on power plants burning sugar cane bagasse. The inventory involves the spatial distribution and the estimated flows for the following major pollutants: nitrogen oxides (NO<sub>x</sub>), particulate material (PM), carbon dioxide (CO<sub>2</sub>) and total organic carbon (TOC). A total of 384 power plants were inventoried, representing a generated power of 9.9 GW, about 26% of the energy produced by thermal power plants sector. The plants are concentrated in two main poles: one of them in S?o Paulo State and nearby areas and the other one in coast of Brazilian Northeast. The limits proposed by the AP-42 Regulations of the US Environmental Protection Agency (USEPA) for the emission factors were applied. Additional emission factors identified in the scientific literature were also included in the analysis in order to assess the uncertainties associated to the estimative. The estimated emissions showed values in the range 16.0 - 20.5 Gg?year<sup>?1</sup> for NOx, 18.0 - 267.0 Gg?year<sup>?1</sup> for MP and 20.5 - 26.7 Tg?year<sup>?1</sup> for CO<sub>2</sub>. The contribution of TOC showed a minor contribution around 10 - 20 Mg?year<sup>?1</sup>. PM showed to be the most representative pollutant emitted by the thermal plants burning sugar cane bagasse, but with a large range of uncertainty. There is a high level of uncertainty associated to the preparation of cane as well as the use of collectors to control particulate emissions. The adequate control over all stages could reduce the bagasse ash content in 90% or more.  
      
 
</p></abstract><kwd-group><kwd>Atmospheric Emissions Inventory</kwd><kwd> Air Pollution</kwd><kwd> Stationary Sources</kwd><kwd> Sugarcane Bagasse</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The use of alternative fuel sources has strongly increased in the last decades in order to supply the energy demand of developing countries. However, this deliberate use of new forms of energy can produce an enormous amount of pollutants, which are emitted into the atmosphere. Therefore, there is a growing need for real actions in order to improve air quality, especially in urban and industrialized areas. In such areas, air pollution has become one of the main factors affecting people’s quality life. In addition, the air pollution can cause several damage effects on the environment of the nearby areas [<xref ref-type="bibr" rid="scirp.59035-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.59035-ref2">2</xref>].</p><p>One of the decision-making tools used to represent chemical processes associated with air pollution and the associated impacts is the use of atmospheric models. Numerical air quality models approaches require information about emissions to feed the simulations for future scenarios studies. Therefore, build emission inventory appropriated to use in air quality modeling is necessary. Emission inventories represent the compilation of data and information that enable the characterization of pollution sources in time and space [<xref ref-type="bibr" rid="scirp.59035-ref3">3</xref>]. Through the use of modeling tools, the emission inventories of air pollutants can produce fundamental contributions to the development of scientific studies. For example, the impacts of energy sectors on air quality and health can be assessed in order to support public policies [<xref ref-type="bibr" rid="scirp.59035-ref4">4</xref>]-[<xref ref-type="bibr" rid="scirp.59035-ref6">6</xref>]. This study aims to quantify and georeference the thermal plants that use the sugarcane bagasse as fuel to the electricity generation in Brazil. In addition, an emission inventory properly prepared for modeling studies is also developed.</p></sec><sec id="s2"><title>2. Methodology</title><sec id="s2_1"><title>2.1. Domain Inventory</title><p>Brazilian territorial unity is the inventory domain, covering about 8.5 millions of square kilometres. Brazil is the largest country in Latin America (<xref ref-type="fig" rid="fig1">Figure 1</xref>), with a total population of 200 million people, according to the World Bank’s projection for 2015, representing about 50% of the population of South America [<xref ref-type="bibr" rid="scirp.59035-ref7">7</xref>].</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title>Geographical location of the study area, Brazil</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/59035x4.png"/></fig><p>The sugar cane bagasse is the cellulosic fiber of residual sugar and ethanol manufacturing process. The bagasse is the waste left after juice extraction of sugar cane, which has the capacity of power generation. In previous years, the bagasse was just a little widespread waste for energy purposes. However, with the increase of the global price of fossil fuels and the several droughts reaching most of Brazilian regions, the bagasse has become a great potential source of biomass for power generation in industrial sectors. Currently almost all of the sugarcane bagasse is utilized to generate electricity from its combustion. Every tonne of sugarcane results in about 0.3 tonne of bagasse, which is burned for electricity production to supply all energy needed in the mills [<xref ref-type="bibr" rid="scirp.59035-ref8">8</xref>]. Generally, the heating value varies 7 - 9 MJ/kg of sugarcane bagasse, with a moisture content between 45% and 55% of the mass. The Brazilian sugarcane industry and its associated thermal power plants are located mainly in S&#227;o Paulo State and surrounding areas in the states of Paran&#225;, Minas Gerais, Mato Grosso do Sul and Goi&#225;s, as well as all coastal area of the states of Alagoas, Pernambuco and Para&#237;ba. <xref ref-type="fig" rid="fig2">Figure 2</xref> illustrates the location of thermoelectric plants that uses the sugarcane bagasse. The 384 units of thermoelectric powered by sugarcane bagasse contributes with 9.9 GW of total energy of the thermoelectric plants, which is about 26% of the energy produced by the sector (National Electrical Power Agency-ANEEL). It is the second ranked sector producing thermoelectric energy, behind the natural gas power plants. It is also the major representative sector using biomass for electricity production. As there is a marked expansion of sugarcane industrial park in Brazil, burning mechanisms and the associated emissions still need to be studied in greater depth so that the limits permitted values in this work should be seen only as a starting reference for further study.</p></sec><sec id="s2_2"><title>2.2. Characteristics of the Power Plants and Activity Rates</title><p>The thermoelectric power plants that use sugarcane bagasse selected in this study are facilities that work with the burning bagasse to generate steam and, consequently, energy from the combustion processes. In general, the activity rate is an annual fuel consumption measurement that can be converted to the inventory user’s convenience unit. The activity rate considered for this inventory was the Monitored Power (kWh∙year<sup>−</sup><sup>1</sup>) by ANEEL. This activity refers to a given period, usually one year. Considering that ethanol production in Brazil follow a very well defined seasonality, annual estimates was chosen as the more appropriate period for the use of sugar cane bagasse.</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Distribution of thermal power by sugarcane bagasse</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/59035x5.png"/></fig></sec><sec id="s2_3"><title>2.3. Pollutants and Emission Factors</title><p>The pollutants included in this emissions inventory are Total Particulate Matter (PM), Nitrogen Oxides (NO<sub>x</sub>), Carbon Dioxide (CO<sub>2</sub>) and Total Organic Compound (TOC). For estimating biomass burning emissions, it is recommended the use of national emission factors. However, Brazilian private productive sectors are not obliged (and no enforced) to publish their atmospheric emissions. Therefore, in this study, the emissions are estimated based on the limits factors tracks published on the Compilation of Air Pollutant Emission Factors document (AP-42) [<xref ref-type="bibr" rid="scirp.59035-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.59035-ref6">6</xref>], and by Environmental Protection Agency of S&#227;o Paulo (CETESB) [<xref ref-type="bibr" rid="scirp.59035-ref9">9</xref>] as an alternative means of comparison.</p><p>Emissions from thermal power plants that use the sugarcane bagasse will depend on the activity of the industrial unity and the emission factor associated with each pollutant. Thus, emissions can be estimated based on the following simplified equation [<xref ref-type="bibr" rid="scirp.59035-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.59035-ref6">6</xref>],</p><disp-formula id="scirp.59035-formula10"><label>(1)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/59035x6.png"  xlink:type="simple"/></disp-formula><p>where E<sub>ijkt</sub> represents the total amount of pollutant k, delivered by the industry located at position (i,j), during a certain time interval t (one year in this study), while FE<sub>k</sub> is the emissions factor for pollutant k and A<sub>ijkt</sub> is the activity of the industry located at position (i,j) for the pollutant k, during the time interval t.</p></sec></sec><sec id="s3"><title>3. Results</title><p>The most common pollutant emitted during the burning of sugarcane bagasse is the PM, while emissions of NO<sub>x</sub> and SO<sub>x</sub> are lower than those emitted from burning fossil fuels, due to bagasse lower content of sulfur and low temperature required during the combustion process. Moreover, auxiliary fuels can be used at the beginning of burning or when there is high moisture content in the sugarcane bagasse. In this case, the emissions of NO<sub>x</sub> and SO<sub>x</sub> may increase. Incorrect preparation of the cane or the inefficient burning can also increase the content of ash and emissions of CO and TOC. The emission factors adopted for the thermal power sugarcane bagasse are listed in <xref ref-type="table" rid="table1">Table 1</xref>. It is noted good level of agreement among the factors provided by AP-42 standard and those used by CETESB [<xref ref-type="bibr" rid="scirp.59035-ref9">9</xref>]. There were no emission factors for CO and SO<sub>x</sub>, and factors were then assumed to be zero. In the case of SO<sub>x</sub> and TOC, experimental tests indicate that, under ideal conditions of burning, the emitted values can be negligible [<xref ref-type="bibr" rid="scirp.59035-ref10">10</xref>].</p><p>The contribution of emissions from bagasse-fired thermal power plants is only representative for NO<sub>x</sub>, PM and CO<sub>2</sub> (<xref ref-type="table" rid="table1">Table 1</xref>). For the NO<sub>x</sub> values (16 - 21 Gg∙year<sup>−1</sup>) are equivalent to emissions by power plants, which operate on heavy fuel oil and natural gas, but they are lower than the contributions of plants using diesel and coal. Compared to vehicle emissions of NO<sub>x</sub>, the contribution is not significant. In relation to the contribution associated to PM (18 - 267 Gg∙year<sup>−1</sup>), higher values of emission are observed when compared to other thermal power sectors using fossil fuels. The values are also comparable to the emissions from vehicles. For the emissions of CO<sub>2</sub> (20 - 27 Tg∙year<sup>−1</sup>), the values are slightly higher them those recorded for the power plants burning fossil fuels, but the contribution showed to be no significant when compared to the vehicular emissions. When the estimative is based on emission factors adopted by CETESB [<xref ref-type="bibr" rid="scirp.59035-ref9">9</xref>], it is found a good level of agreement between the estimates. The most important contribution of emissions from bagasse-fired thermal power plants is the PM. In this case the contribution of the sector should be evaluated to beyond the estimates.</p><p>The spatial distribution is an important concern, once the power plants are concentrated mainly in two specific poles of the country, S&#227;o Paulo and central part of the northeastern coast. It is important that modeling studies be carried to check the regional impacts of pollutants emitted by sugar cane sector and if itself can be considered as the major contribution to the observed concentration of air pollutants in these regions. In addition, the total amount calculated took into account emission factors ranges proposed by AP-42 Regulation of the US Environmental Protection Agency (USEPA) [<xref ref-type="bibr" rid="scirp.59035-ref11">11</xref>]. Although additional factors identified in the literature were also included for comparative purposes, and serve as parameters for evaluation of the uncertainty, more accurate emission factors and representative of Brazilian conditions are need.</p></sec><sec id="s4"><title>4. Conclusion</title><p>The results of this study shows that atmospheric emissions from stationary sources to Brazil play a fundamental role in the concentration of air pollutants, and should be integrated in modelling studies of air quality, as well</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Emission factors for sugarcane bagasse (g∙kWh<sup>−1</sup>)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Pollutants</th><th align="center" valign="middle"  colspan="2"  >EPA, 1996 (g∙kWh<sup>−1</sup>)</th><th align="center" valign="middle"  rowspan="2"  >CETESB, 1999 (g∙kWh<sup>−1</sup>)</th></tr></thead><tr><td align="center" valign="middle" >Inferior Limit</td><td align="center" valign="middle" >Superior Limit</td></tr><tr><td align="center" valign="middle" >NO<sub>X </sub></td><td align="center" valign="middle" >0.28</td><td align="center" valign="middle" >0.36</td><td align="center" valign="middle" >0.27</td></tr><tr><td align="center" valign="middle" >PM</td><td align="center" valign="middle" >0.32</td><td align="center" valign="middle" >4.68</td><td align="center" valign="middle" >3.51</td></tr><tr><td align="center" valign="middle" >TOC</td><td align="center" valign="middle" >0.00023</td><td align="center" valign="middle" >0.00030</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >CO<sub>2 </sub></td><td align="center" valign="middle" >359</td><td align="center" valign="middle" >468</td><td align="center" valign="middle" >400</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Emission total emissions for sugarcane bagasse (Gg∙year<sup>−1</sup>)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Pollutants</th><th align="center" valign="middle" >EPA, 1996 (Gg∙year<sup>−1</sup>)</th><th align="center" valign="middle" >CETESB, 1999 (Gg∙year<sup>−1</sup>)</th></tr></thead><tr><td align="center" valign="middle" >NO<sub>X </sub></td><td align="center" valign="middle" >16.0 - 20.5</td><td align="center" valign="middle" >15.4</td></tr><tr><td align="center" valign="middle" >PM</td><td align="center" valign="middle" >18.0 - 267.0</td><td align="center" valign="middle" >200</td></tr><tr><td align="center" valign="middle" >TOC</td><td align="center" valign="middle" >0.01 - 0.02</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >CO<sub>2 </sub></td><td align="center" valign="middle" >20.5 &#180; 10<sup>3</sup> - 26.7 &#180; 10<sup>3 </sup></td><td align="center" valign="middle" >22.8 &#180; 10<sup>3 </sup></td></tr></tbody></table></table-wrap><p>as its impact on health and to define policies for an area.</p></sec><sec id="s5"><title>Acknowledgements</title><p>This work received funding support from CNPq (National Counsel of Technological and Scientific Development, process 404104/2013-4), CAPES (Coordination for the Improvement of Higher Education Personnel) and Arauc&#225;ria Foundation.</p></sec><sec id="s6"><title>Cite this paper</title><p>Ana Beatriz Kawashima,Marcos Vin&#237;cius Bueno de Morais,Leila Droprinchinski Martins,Viviana Urbina,Sameh Adib Abou Rafee,Maur&#237;cio Nonato Capucim,Jorge Alberto Martins, (2015) Estimates and Spatial Distribution of Emissions from Sugar Cane Bagasse Fired Thermal Power Plants in Brazil. Journal of Geoscience and Environment Protection,03,72-76. doi: 10.4236/gep.2015.36012</p></sec><sec id="s7"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.59035-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Wang, Y. (2010) The Analysis of the IMPACTS of energy Consumption on Environment And public Health in China. Energy, 35, 4473-4479. http://dx.doi.org/10.1016/j.energy.2009.04.014</mixed-citation></ref><ref id="scirp.59035-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Guarieiro, L.L.N. and Guarieiro, A.L.N. (2013) Vehicle Emissions: What Will Change with Use of Biofuel? INTECH Open Access Publisher.</mixed-citation></ref><ref id="scirp.59035-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">EPA. U. S. Environmental Protection Agency (2011) Emission Inventory Improvement Program. Volume II: Introduction to the Stationary Point Source Emission Inventory Development. USEPA.</mixed-citation></ref><ref id="scirp.59035-ref4"><label>4</label><mixed-citation publication-type="book" xlink:type="simple">IPCC. Intergovernmental Panel on Climate Change (2013) Summary for Policymakers. In: Stocker, T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.K., Bo-schung, J., Nauels, A., Xia, Y., Bex, V. and Midgley, P.M., Eds., Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge and New York.</mixed-citation></ref><ref id="scirp.59035-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">EPA. U.S. Environmental Protection Agency (1996) AP-42: Compilation of Air Pollutant Emission Factors. Volume I: Stationary Point and Area Sources. Chapter 1: External Combustion Sources. 5th Edition, USEPA.</mixed-citation></ref><ref id="scirp.59035-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">EPA. U. S. Environmental Protection Agency (2000) AP-42: Compilation of Air Pollutant Emission Factors. Volume I: Stationary Point and Area Sources. Chapter 3: Stationary Internal Combustion Sources. 5th Edition, USEPA.</mixed-citation></ref><ref id="scirp.59035-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">BRASIL. IBGE, Ministério do Planejamento, Orcamento e Gestao. Instituto Brasileiro de Geografia e Estatística. Contagem Populacional. http://www.cidades.ibge.gov/</mixed-citation></ref><ref id="scirp.59035-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Hofsetz, K. and Silva, M.A. (2012) Brazilian Sugarcane Bagasse: Energy and Non-Energy Consumption. Biomass and Bioenergy, 46, 564-573. http://dx.doi.org/10.1016/j.biombioe.2012.06.038</mixed-citation></ref><ref id="scirp.59035-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Companhia de Tecnologia de Saneamento Ambiental. CETESB (1999) Relatório de Qualidade do Ar no Estado de Sao Paulo, 2000. CETESB, S?o Paulo.</mixed-citation></ref><ref id="scirp.59035-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Werther, J., Saenger, M., Hartge, E.U., Ogada, T., and Siagi, Z. (2000) Combustion of Agricultural Residues. Progress in Energy and Combustion Science, 26, 1-27. http://dx.doi.org/10.1016/S0360-1285(99)00005-2</mixed-citation></ref><ref id="scirp.59035-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">EPA. U. S. Environmental Protection Agency (1995) AP-42: Compilation of Air Pollution Emission Factors. Volume I: Stationary Point and Area Sources. 5th Edition, U. S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park.</mixed-citation></ref></ref-list></back></article>