Concentration and Spatial Clustering of Forest-Based Thermoelectric Plants in Brazil
This study analyzes the concentration and conglomerate spatial distribution of forest-based thermoelectric plants in Brazil, in 2018. Herein, we spatially identified thermoelectric plants in different Brazilian regions and states, and measured the state concentrations (levels 1 and 2 of forest) usin...
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doaj-9c0411fb3d67414d823eebafb5cba9bb2021-03-30T03:50:38ZengIEEEIEEE Access2169-35362020-01-01822193222194110.1109/ACCESS.2020.30429459284480Concentration and Spatial Clustering of Forest-Based Thermoelectric Plants in BrazilLuiz Moreira Coelho Junior0https://orcid.org/0000-0001-5528-7799Edvaldo Pereira Santos Junior1https://orcid.org/0000-0003-1316-2247Anna Manuella Melo Nunes2Flavio Jose Simioni3https://orcid.org/0000-0002-6392-5073Raphael Abrahao4https://orcid.org/0000-0002-2945-2604Paulo Rotella Junior5https://orcid.org/0000-0002-4692-7800Department of Renewable Energy Engineering, Federal University of Paraíba, João Pessoa, BrazilRenewable Energy Graduate Program, Federal University of Paraíba, João Pessoa, BrazilRenewable Energy Graduate Program, Federal University of Paraíba, João Pessoa, BrazilEnvironmental and Sanitary Department, Santa Catarina State University, Lages, BrazilDepartment of Renewable Energy Engineering, Federal University of Paraíba, João Pessoa, BrazilDepartment of Production Engineering, Federal University of Paraíba, João Pessoa, BrazilThis study analyzes the concentration and conglomerate spatial distribution of forest-based thermoelectric plants in Brazil, in 2018. Herein, we spatially identified thermoelectric plants in different Brazilian regions and states, and measured the state concentrations (levels 1 and 2 of forest) using various indicators, including the concentration ratio (CR(k)), the Herfindahl-Hirschman index (HHI), Theil's entropy (E), and the Gini coefficient (G). Meanwhile, each state's conglomerates were evaluated using the Scan statistic. We found that there are 98 forest-base thermoelectric plants in Brazil, most of which are located in the south-central portion of the country where there is rapid forest growth. The southern region contains 32.65% of the identified plants as a result of the presence of level 2 forest resources (black liquor and forest waste). Regarding the state's concentration (forest level 1), CR(k) revealed a moderate concentration, the HHI and E indices demonstrated low concentrations, and G suggested null to weak inequality. Of these Brazilian forest bioelectricity plants (level 1), 4 clusters were identified, but only one was statistically significant, located in the southern region. Concerning level 2 sources, the only statistically significant conglomerate regarding charcoal was centered in Açailândia (Maranhão). These findings will provide information to assist industry decision-making processes and help guide public policies for forest bioelectricity development in Brazil that favor energy security and improve resource utilization.https://ieeexplore.ieee.org/document/9284480/Bioenergyforest economymarket study |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Luiz Moreira Coelho Junior Edvaldo Pereira Santos Junior Anna Manuella Melo Nunes Flavio Jose Simioni Raphael Abrahao Paulo Rotella Junior |
spellingShingle |
Luiz Moreira Coelho Junior Edvaldo Pereira Santos Junior Anna Manuella Melo Nunes Flavio Jose Simioni Raphael Abrahao Paulo Rotella Junior Concentration and Spatial Clustering of Forest-Based Thermoelectric Plants in Brazil IEEE Access Bioenergy forest economy market study |
author_facet |
Luiz Moreira Coelho Junior Edvaldo Pereira Santos Junior Anna Manuella Melo Nunes Flavio Jose Simioni Raphael Abrahao Paulo Rotella Junior |
author_sort |
Luiz Moreira Coelho Junior |
title |
Concentration and Spatial Clustering of Forest-Based Thermoelectric Plants in Brazil |
title_short |
Concentration and Spatial Clustering of Forest-Based Thermoelectric Plants in Brazil |
title_full |
Concentration and Spatial Clustering of Forest-Based Thermoelectric Plants in Brazil |
title_fullStr |
Concentration and Spatial Clustering of Forest-Based Thermoelectric Plants in Brazil |
title_full_unstemmed |
Concentration and Spatial Clustering of Forest-Based Thermoelectric Plants in Brazil |
title_sort |
concentration and spatial clustering of forest-based thermoelectric plants in brazil |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
This study analyzes the concentration and conglomerate spatial distribution of forest-based thermoelectric plants in Brazil, in 2018. Herein, we spatially identified thermoelectric plants in different Brazilian regions and states, and measured the state concentrations (levels 1 and 2 of forest) using various indicators, including the concentration ratio (CR(k)), the Herfindahl-Hirschman index (HHI), Theil's entropy (E), and the Gini coefficient (G). Meanwhile, each state's conglomerates were evaluated using the Scan statistic. We found that there are 98 forest-base thermoelectric plants in Brazil, most of which are located in the south-central portion of the country where there is rapid forest growth. The southern region contains 32.65% of the identified plants as a result of the presence of level 2 forest resources (black liquor and forest waste). Regarding the state's concentration (forest level 1), CR(k) revealed a moderate concentration, the HHI and E indices demonstrated low concentrations, and G suggested null to weak inequality. Of these Brazilian forest bioelectricity plants (level 1), 4 clusters were identified, but only one was statistically significant, located in the southern region. Concerning level 2 sources, the only statistically significant conglomerate regarding charcoal was centered in Açailândia (Maranhão). These findings will provide information to assist industry decision-making processes and help guide public policies for forest bioelectricity development in Brazil that favor energy security and improve resource utilization. |
topic |
Bioenergy forest economy market study |
url |
https://ieeexplore.ieee.org/document/9284480/ |
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