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| Registros recuperados : 7 | |
| 2. |  | MALUCELLI, L. C.; MATOS, M. de; JORDÃO, C.; LACERDA, L. G.; CARVALHO FILHO, M. A. S.; MAGALHAES, W. L. E. Grinding severity influences the viscosity of cellulose nanofiber (CNF) suspensions and mechanical properties of nanopaper. Cellulose, v. 25, n. 11, p. 6581-6589, Nov. 2018.| Biblioteca(s): Embrapa Florestas. |
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| 3. | | MALUCELLI, L. C.; OZERI, I.; MATOS, M.; MAGALHAES, W. L. E.; CARVALHO FILHO, M. A. S.; EISEN, M. S. High-flux, porous and homogeneous PVDF/cellulose microfiltration membranes. Cellulose, v. 29, n. 3, p. 1943–1953, Feb. 2022.| Biblioteca(s): Embrapa Florestas. |
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| 4. | | MALUCELLI, L. C.; CARNEITO, J.; VASCONCELOS, E. C.; MAGALHAES, W. L. E.; MURAKAMI, F. S.; CARVALHO FILHO, M. A. S. Energetic potential of pyrolyzed biomass from different sources: a comparative study. Journal of Thermal Analysis and Calorimetry, v. 141, n. 3, p. 1149-1155, Aug. 2020.| Biblioteca(s): Embrapa Florestas. |
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| 5. | | MALUCELLI, L. C.; SILVESTRE, G. F.; CARNEIRO, J.; VASCONCELOS, E. C.; GUIOTOKU, M.; MAIA, C. E. M. B. de F.; CARVALHO FILHO, M. A. S. Biochar higher heating value estimative using thermogravimetric analysis. Journal of Thermal Analysis and Calorimetry, v. 139, n. 3, p. 2215-2220, Feb. 2020.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | COSTA, F. J. O. G. da; ALMEIDA, R. R.; SCHNITZLER, E.; DEMIATE, I.; CARVALHO FILHO, M. A. S.; LACERDA, L. G.; GODOY, R. C. B. de; WASZCZYNSKYJ, N. Thermal analyses of sweet potato (Ipomoea batatas) under oxidative athmosphere. In: WORLD CONGRESS OF FOOD SCIENCE AND TECHNOLOGY, 16.; LATIN AMERICAN SEMINAR OF FOOD SCIENCE AND TECHNOLOGY, 17., 2012, Foz do Iguaçu. Addressing global food security and wellness through food science and technology: abstracts. Foz do Iguaçu: [s.n.], 2012. CD-ROM.| Biblioteca(s): Embrapa Florestas. |
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| 7. | | MALUCELLI, L. C.; MASSULO, T.; MAGALHAES, W. L. E.; STOFELLA, N. C. F.; VASCONCELOS, E. C.; CARVALHO FILHO, M. A. S.; MURAKAMI, F. S. Thermal and chemical characterization of Dicksonia sellowiana extract by means of thermal analysis. Revista Brasileira de Farmacognosia, v. 28, p. 626-630, 2018.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 7 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
13/11/2019 |
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Data da última atualização: |
27/04/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MALUCELLI, L. C.; SILVESTRE, G. F.; CARNEIRO, J.; VASCONCELOS, E. C.; GUIOTOKU, M.; MAIA, C. E. M. B. de F.; CARVALHO FILHO, M. A. S. |
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Afiliação: |
L. C. Malucelli, Doutorando da Universidade Positivo; G. F. Silvestre, UFPR; J. Carneiro, UFPR; E. C. Vasconcelos, Universidade Positivo; MARCELA GUIOTOKU, CNPF; CLAUDIA E. M. B. de F. MAIA, Pesquisadora aposentada da Embrapa Florestas; M. A. S. Carvalho Filho, Universidade Positivo. |
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Título: |
Biochar higher heating value estimative using thermogravimetric analysis. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Journal of Thermal Analysis and Calorimetry, v. 139, n. 3, p. 2215-2220, Feb. 2020. |
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DOI: |
https://doi.org/10.1007/s10973-019-08597-8 |
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Idioma: |
Inglês |
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Conteúdo: |
The higher heating value (HHV) is an important parameter to indicate the energetic potential of biomass from different sources. Bomb calorimeter is the standard to obtain this data; however, in the absence of this equipment, estimative through proximate analysis aided with multiple regression formulas is an acceptable alternative. Still, this is a time-consuming technique and highly dependable of operator skills. In this context, thermogravimetric analysis has been used to obtain proximate analysis results with higher precision and demanding a small amount of samples. Here, a simple and effective method to estimate HHV from data obtained by thermogravimetric analysis using different sources of biomass is presented. The proposed method showed to be more accurate to estimate HHV than proximate analysis laboratory procedure. Greater correlation was observed between the HHV values obtained from calorimeter?thermogravimetry than the ones obtained from calorimeter?proximate analysis. Multiple regression analysis indicated that fixed carbon and ashes have an inverse influence over HHV, while the former is responsible for high calorific value and the latter affects energy release. Finally, the proposed method showed to be fast and accurate to estimate HHV of biochar samples and should be easily adaptable to other studies that require fast assessment of calorific value from biochar. |
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Palavras-Chave: |
Análise térmica; Calorimeter; HHV; Higher calorific value; Maior valor calorífico; Proximate analysis. |
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Thesagro: |
Calorímetro. |
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Thesaurus NAL: |
Biochar; Thermal analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 02355naa a2200313 a 4500
001 2114270
005 2020-04-27
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10973-019-08597-8$2DOI
100 1 $aMALUCELLI, L. C.
245 $aBiochar higher heating value estimative using thermogravimetric analysis.$h[electronic resource]
260 $c2020
520 $aThe higher heating value (HHV) is an important parameter to indicate the energetic potential of biomass from different sources. Bomb calorimeter is the standard to obtain this data; however, in the absence of this equipment, estimative through proximate analysis aided with multiple regression formulas is an acceptable alternative. Still, this is a time-consuming technique and highly dependable of operator skills. In this context, thermogravimetric analysis has been used to obtain proximate analysis results with higher precision and demanding a small amount of samples. Here, a simple and effective method to estimate HHV from data obtained by thermogravimetric analysis using different sources of biomass is presented. The proposed method showed to be more accurate to estimate HHV than proximate analysis laboratory procedure. Greater correlation was observed between the HHV values obtained from calorimeter?thermogravimetry than the ones obtained from calorimeter?proximate analysis. Multiple regression analysis indicated that fixed carbon and ashes have an inverse influence over HHV, while the former is responsible for high calorific value and the latter affects energy release. Finally, the proposed method showed to be fast and accurate to estimate HHV of biochar samples and should be easily adaptable to other studies that require fast assessment of calorific value from biochar.
650 $aBiochar
650 $aThermal analysis
650 $aCalorímetro
653 $aAnálise térmica
653 $aCalorimeter
653 $aHHV
653 $aHigher calorific value
653 $aMaior valor calorífico
653 $aProximate analysis
700 1 $aSILVESTRE, G. F.
700 1 $aCARNEIRO, J.
700 1 $aVASCONCELOS, E. C.
700 1 $aGUIOTOKU, M.
700 1 $aMAIA, C. E. M. B. de F.
700 1 $aCARVALHO FILHO, M. A. S.
773 $tJournal of Thermal Analysis and Calorimetry$gv. 139, n. 3, p. 2215-2220, Feb. 2020.
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