Literature DB >> 32151396

NOx removal efficiency of urban photocatalytic pavements at pilot scale.

J M Cordero1, R Hingorani2, E Jimenez-Relinque2, M Grande2, R Borge3, A Narros3, M Castellote2.   

Abstract

Photocatalytic technology implemented in construction materials is a promising solution to contribute to alleviate air quality issues found in big cities. Photocatalysis has been proved able to mineralise most harmful contaminants. However, important problems associated with monitoring the efficiency of these solutions under real conditions still remain, including the lack of affordable analytical tools to measure NOx concentrations with enough accuracy. In this work, two pilot scale demonstration platforms were built at two different locations to assess the photocatalytic NOX removal efficiency of ten selected materials exposed outdoors for AQmesh low-cost sensor PODs were used to measure ground-level to measure NO and NO2 concentrations during nearly one year. The pollutant removal efficiency of the materials was then calculated based on a comparison with simultaneously concentration measurements carried-out on reference, non-active materials. It was found that the NO2 removal efficiency presented large variations across the seasons, with maxima during the warmer months, while NO efficiencies were comparatively steadier. Statistical analysis delivered evidence that the efficiencies significantly depend on different meteorological variables (irradiance and relative humidity) besides NO, NO2 ambient concentrations. Lower efficiencies were observed for higher concentration levels and vice versa. The influence of water vapour could be related to two different effects: a short-term contribution by the instantaneous air humidity and a long-term component associated with the hygroscopic state of the material. The contribution of wind to the pollutant removal efficiencies was principally related to the humidity of air masses moving above the location and to the advection of pollutants from specific emission sources.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Air quality; Construction materials; Environmental variables; Heterogeneous photocatalysis; Machine learning; NO(x) removal efficiency

Year:  2020        PMID: 32151396     DOI: 10.1016/j.scitotenv.2020.137459

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  New Holistic Conceptual Framework for the Assessment of the Performance of Photocatalytic Pavement.

Authors:  Eva Jimenez-Relinque; Francisco Rubiano; Ramon Hingorani; Maria Grande; Angel Castillo; Roman Nevshupa; Marta Castellote
Journal:  Front Chem       Date:  2020-09-16       Impact factor: 5.221

  1 in total

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