Remote energy storage in Ni(OH)2 with TiO2 photocatalyst.

Phys Chem Chem Phys

Institute of Industrial Science, University of Tokyo, Komaba, Tokyo, 153-8505, Japan.

Published: June 2006

Oxidative energy generated by UV-irradiated TiO2 photocatalyst was stored in Ni(OH)2 that was 12.5-50 microm apart from the TiO2. It is likely that active oxygen species generated on TiO2 diffused into the gas phase and oxidized Ni(OH)2. Loading the TiO2 with Pt accelerated the remote energy storage by an order of magnitude. It was revealed that the stored energy could be taken out and used chemically or electrochemically. The oxidized Ni(OH)2 was reduced by gaseous formaldehyde, formate, ethanol and H2O2.

Download full-text PDF

Source
http://dx.doi.org/10.1039/b604545fDOI Listing

Publication Analysis

Top Keywords

remote energy
8
energy storage
8
tio2 photocatalyst
8
oxidized nioh2
8
tio2
5
nioh2
4
storage nioh2
4
nioh2 tio2
4
photocatalyst oxidative
4
oxidative energy
4

Similar Publications

Crucial role of subsurface ocean variability in tropical cyclone genesis.

Nat Commun

January 2025

Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA.

The upper ocean provides thermal energy to tropical cyclones. However, the impacts of the subsurface ocean on tropical cyclogenesis have been largely overlooked. Here, we show that the subsurface variabilities associated with the variation in the 26 °C isothermal depth have pronounced impacts on tropical cyclogenesis over global oceans.

View Article and Find Full Text PDF

Groundwater-dependent ecosystems in areas with industrial land use are at risk of exposure to a PFAS chemicals. We investigated one such system with several known PFAS source areas, where high and low permeability sediments (glacial) coupled with groundwater-lake and groundwater/surface-water interactions created complex 'source to seep' dynamics. Using heat-tracing and chemical methods, numerous preferential groundwater discharge zones were identified and sampled across the upper Quashnet River stream-wetland system in Mashpee, MA, USA, downgradient of Joint Base Cape Cod (JBCC).

View Article and Find Full Text PDF

Conventional approaches for the structural health monitoring of infrastructures often rely on physical sensors or targets attached to structural members, which require considerable preparation, maintenance, and operational effort, including continuous on-site adjustments. This paper presents an image-driven hybrid structural analysis technique that combines digital image processing (DIP) and regression analysis with a continuum point cloud method (CPCM) built on a particle-based strong formulation. Polynomial regressions capture the boundary shape change due to the structural loading and precisely identify the edge and corner coordinates of the deformed structure.

View Article and Find Full Text PDF

The COVID-19 pandemic led to a rapid shift to remote working, which affected ergonomic conditions and increased the risk of upper body musculoskeletal pain (MSP). This study assessed the prevalence and impact of upper body MSP (affecting the head, neck, shoulders, and back) among academic staff at a University of Technology during the pandemic. Data were collected from 110 participants through an online, descriptive, cross-sectional survey adapted from the Dutch Musculoskeletal Questionnaire, the Standardized Nordic Questionnaire, and the McCaffrey Initial Pain Assessment Tool.

View Article and Find Full Text PDF

This study examines the complexities of climate modeling, specifically in the Panj River Basin (PRB) in Central Asia, to evaluate the transition from CMIP5 to CMIP6 models. The research aimed to identify differences in historical simulations and future predictions of rainfall and temperature, examining the accuracy of eight General Circulation Models (GCMs) used in both CMIP5 (RCP4.5 and 8.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!