Life cycle assessment of ferro niobium
Life cycle assessment of ferro niobium
复制标题
铌铁的生命周期评估
DOI:
10.1007/s11367-019-01714-7
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Matthias Finkbeiner
中科院分区:
文献类型:
--
作者:
Iulia Dolganova;Fabian Bosch;Vanessa Bach;Martin Baitz;Matthias Finkbeiner
PurposeFerro niobium (FeNb) is a metallic alloy whose industrial use has been increasing steadily in the last decades. This work aims to systematize the available information on FeNb production, provide its inventory data and generate its first technologically representative publicly available life cycle impact assessment (LCIA).MethodsThe production of 1 kg of FeNb from pyrochlore in the baseline year 2017 was modelled following a cradle-to-gate approach. Primary information on mass, energy and water flows was collected when possible from the Brazilian leading FeNb supplier, CBMM (80% of the world market). The CML method (CML-IA 4.7) was applied for the impact assessment including global warming potential (GWP), acidification potential (AP), eutrophication potential (EP), ozone layer depletion potential (ODP), abiotic depletion potential (fossil and elemental) (ADPfossiland ADPelemental) and photochemical ozone creation potential (POCP).Results and discussionThe first stage of pyrochlore processing (pyrochlore ore extraction, mechanical processing and flotation) and the last stage (aluminothermic reaction) bear the highest impact in all analyzed CML impact categories. The primary aluminium consumption has the most important contribution in five out of seven impact categories (50% in ADPfossil, 55% in AP, 35% in EP, 57% in GWP and 40% in POCP). In this sense, the industry should promote a higher share of secondary aluminium in the production process. Also, the impact from electricity consumption and processing chemicals showed to be relevant.ConclusionsThis work is the first LCIA on ferro niobium to be published with representative, high-quality data. A dataset was produced in order to enable ferro niobium to be incorporated to future LCIA-modelling.
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影响因子:
4.8
作者:
A. R. Alves;A. R. Coutinho
通讯作者:
A. R. Coutinho
DOI:
10.1007/s11367-019-01619-5
发表时间:
2019
期刊:
The International Journal of Life Cycle Assessment
影响因子:
--
作者:
J. Gediga;A. Morfino;M. Finkbeiner;M. Schulz;K. Harlow
通讯作者:
K. Harlow
影响因子:
4.8
作者:
H. R. S. Moura;L. D. Moura
通讯作者:
L. D. Moura
影响因子:
0.8
作者:
Nikishina, E. E.;Drobot, D. V.;Lebedeva, E. N.
通讯作者:
Lebedeva, E. N.
影响因子:
4.8
作者:
K. J. Schulz;N. Piatak;J. F. Papp
通讯作者:
J. F. Papp