Economics at your fingertips  

Novel 3D hierarchical bifunctional NiTiO3 nanoflower for superior visible light photoreduction performance of CO2 to CH4 and high lithium storage performance

Yanan Wang, Xuanyu Chen, Qiuyang Wang, Yiqing Zeng, Kai Liao, Shule Zhang and Qin Zhong

Energy, 2019, vol. 169, issue C, 580-586

Abstract: Hierarchical and uniform flower-like NiTiO3 architectures have been firstly synthesized via a facile one-pot method with glycerol/ethyl alcohol-mediated route followed by an annealing treatment. The 3D NiTiO3 nanoflowers with an average size of ∼800 nm evidenced by a field-emission-scanning electron microscope (FE-SEM) and a transmission electron microscope (TEM), were constructed by nanosheets (∼30 nm). The Brunauer-Emmett-Teller (BET) specific surface area analysis confirmed that properly hierarchical structures enhanced abundant mesoporous distribution and surface area. It is confirmed that properly hierarchical structures can not only increase light harvesting, but also accelerated separated efficiency of photoexcited electron-hole pairs and gave rise to a negative shift of conduction band (CB). In consequence, the photocatalytic activity of the conversion from CO2 to CH4 was obviously improved (25.8 μmol h−1 g−1) under visible light irradiation, compared with that of bulk NiTiO3. In addition, the hierarchical NiTiO3 nanoflower as anode materials for Li-ion batteries exhibited an excellent rate performance, a high specific capacity of 400 mA h g−1 after 120 cycles, and a high coulombic efficiency of 98%, due to the large surface area, fast transport pathways provided by porous. This work, for the first time, extends the further development of NiTiO3 hierarchical architectures and introduces a simple strategy for building other ATiO3-based oxide hierarchical bifunctional materials.

Keywords: Hierarchical structure; NiTiO3; Photocatalytic reduction CO2; Lithium-ion battery (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

Page updated 2019-05-04
Handle: RePEc:eee:energy:v:169:y:2019:i:c:p:580-586