Prediction of higher heating values of plant biomass from ultimate analysis data

Prediction of higher heating values of plant biomass from ultimate analysis data Научная публикация

Журнал

Journal of Thermal Analysis and Calorimetry
ISSN: 1388-6150

Вых. Данные

Год: 2017, Том: 130, Номер: 3, Страницы: 1399-1405 Страниц : 7 DOI: 10.1007/s10973-017-6350-0

Ключевые слова

Biomass; Plant raw materials; Composition; Ultimate analysis; Higher heating value; Prediction; Empirical equation

Авторы

Bychkov Aleksey L. ¹ , Denkin Aleksey I. ² , Tikhova Vera D. ³ , Lomovsky Oleg I. ¹

Организации

1	(Данные Web of science) Inst Solid State Chem & Mechanochem, 18 Kutateladze Str, Novosibirsk 630128, Russia
2	(Данные Web of science) Inst Physiol Biochem & Nutr Farm Anim, Borovsk 249013, Russia
3	(Данные Web of science) Inst Organ Chem, 9 Lavrentiev Ave, Novosibirsk 630090, Russia

For natural plant raw materials and for artificial mixture samples with different lignin content, a comparison between empirical equations for the calculation of higher heating values was carried out relying on the data of ultimate analysis. Selection of tested equations from already known was carried out according to the criteria: equations should be intended for work with plant raw materials; the range of used materials should be rather wide; the data on element content (C, H, N, S) obtained experimentally and in routine mode, as well as ash value of the material, should be variables; ambiguous equations should be excluded. Only 8 from more than 150 published equations were chosen for testing, and 3 of these provide calculation of higher heating values with a less than 5-6% deviation from reference values obtained by means of combustion in an adiabatic calorimeter.

Bychkov A.L. , Denkin A.I. , Tikhova V.D. , Lomovsky O.I.
Prediction of higher heating values of plant biomass from ultimate analysis data
Journal of Thermal Analysis and Calorimetry. 2017. V.130. N3. P.1399-1405. DOI: 10.1007/s10973-017-6350-0 WOS Scopus

Опубликована online:	18 апр. 2017 г.
Опубликована в печати:	1 дек. 2017 г.

Web of science	WOS:000415619800018
Scopus	2-s2.0-85017635262
OpenAlex	W2605464781