Field Evaluation of Ability of Photocatalytic Concrete Pavements to Remove Nitrogen Oxides

Dylla, Heather; Hassan, Marwa; Osborn, David

doi:10.3141/2290-20

Cited by 12 publications

(6 citation statements)

References 12 publications

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“…Figure 5 compares the forecast data by the developed SICM model before and after the application of TiO 2 . The forecast NO x concentration by the SICM model before and after the application of TiO 2 was in line with previous findings on the basis of the analysis of field measurements (36). The obtained results show the capability of the SICM model in forecasting the efficiency of photocatalytic asphalt pavement in the real environment.…”

Section: Forecasting Efficiency Of Photocatalytic Asphalt Pavement With Sicm Modelsupporting

confidence: 89%

Supervised Intelligence Committee Machine to Evaluate Field Performance of Photocatalytic Asphalt Pavement for Ambient Air Purification

Nadiri

Hassan

Asadi

2015

Transportation Research Record

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The ability of a titanium dioxide (TiO2) photocatalytic nanoparticle to trap and to decompose organic and inorganic air pollutants makes it a promising technology as a pavement coating to mitigate the harmful effects of vehicle emissions. Statistical models and artificial intelligence (AI) models are two applicable methods to quantify photocatalytic efficiency. The objective of this study was to develop a model based on field-collected data to predict the nitrogen oxide (NOx) reduction. To achieve this objective, the supervised intelligent committee machine (SICM) method as a combinational black box model was used to predict NOx concentration at the pavement level before and after TiO2 application on the pavement surface. SICM predicts NOx concentration by a nonlinear combination of individual AI models through an artificial intelligent system. Three AI models—Mamdani fuzzy logic, artificial neural network, and neuro-fuzzy—were used to predict NOx concentration in the air as a function of traffic count and climatic conditions, including humidity, temperature, solar radiation, and wind speed before and after the application of TiO2. In addition, an intelligent committee machine model was developed by combining individual AI model output linearly through a set of weights. Results indicated that the SICM model could provide a better prediction of NOx concentration as an air pollutant in the complex and multidimensional air quality data analysis with less residual mean square error than that given by multivariate regression models.

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Section: Forecasting Efficiency Of Photocatalytic Asphalt Pavement With Sicm Modelsupporting

confidence: 89%

Supervised Intelligence Committee Machine to Evaluate Field Performance of Photocatalytic Asphalt Pavement for Ambient Air Purification

Nadiri

Hassan

Asadi

2015

Transportation Research Record

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“…Environmental factors affect the photocatalytic efficiency, such as the humidity, flow rate, temperature and light density [ 25 , 26 ]. The maximum photocatalytic efficiency can be obtained in previous studies in which the reaction humidity is between 20 and 30% [ 27 ].…”

Section: Indoor Experimentsmentioning

confidence: 99%

“…In the outdoor road test, the amount of nitrogen oxide was collected to determine the degradation effect. The method was mentioned in previous studies by Hassan et al [ 1 , 25 , 26 ]. By placing a small amount of water on the road surface, the nitrogen oxides in the water were detected (as shown in Figure 10 b).…”

Section: Pavement Performancementioning

confidence: 99%

Functional Materials Based on Active Carbon and Titanium Dioxide in Fog Seal

Xiao

Gong

et al. 2020

Materials

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Due to its ability to degrade nitrogen oxides under ultraviolet, titanium dioxide has been applied in asphalt concrete to degrade automobile exhaust in recent years. To highlight the protection of road traffic environmental quality and mitigate automobile exhaust on human health, this study proposes combining titanium dioxide and active carbon into Sand-fog seal to form a pavement coating material with a photocatalytic function. It uses active carbon to reinforce the material’s function, and the coupling agent for modification makes it well dispersed in the Sand-fog seal. The indoor experiments were carried out at 30 °C and relative humidity of 30%. It tested the composite material’s degradation efficiency on nitrogen dioxide in relation to component proportions, coupling agents, and dosages. The study concluded that the optimal photocatalytic efficiency could be achieved when the ratio of active carbon to titanium dioxide is 0.6. After being modified by the titanate coupling agent and through Scanning Electron Microscope tests, it can be seen that materials can be well dispersed into the Sand-fog seal. When the composite material accounts for 10% of the fog seal, it can achieve the optimal photocatalytic efficiency of about 23.9%. The British pendulum tests show it has good skid resistance performance. Half a kilometer of concrete roadway was sprayed with the material coating in Tianjin, China. The photocatalytic experimental road degrades nitrogen oxides better than the original road. The method is feasible for practical implementation.

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“…However, the production of water vapor would hinder the oxidation process of methane. When TiO 2 acted as the photocatalyst, Graetzel et al 13 claimed that the methane was effectively photocatalyzed to CO 2 and H 2 O.

{CH}_{4} + 2 {normalO}_{2} \overset{{TiO}_{2}}{\to} {CO}_{2} + 2 {normalH}_{2} O .

However, previous photocatalytic methane research was conducted solely in the laboratory but not in the field, because the environmental conditions, such as wind speed and direction, sun intensity, and humidity of the air, had impacts on the photocatalytic effect 14 …”

Section: Introductionmentioning

confidence: 99%

“…However, previous photocatalytic methane research was conducted solely in the laboratory but not in the field, because the environmental conditions, such as wind speed and direction, sun intensity, and humidity of the air, had impacts on the photocatalytic effect. 14 The solar chimney power plant (SCPP) is a green power generation system consisting of a chimney, canopy, turbine, and storage layer. During the day, the sunlight passed through the canopy and heated the storage layer.…”

mentioning

confidence: 99%

A novel green technology: Reducing carbon dioxide and eliminating methane from the atmosphere

Ming

Xiong

Shi

et al. 2022

Intl J of Energy Research

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The greenhouse effect is exacerbated as greenhouse gas concentrations rise.Capturing and degrading methane in the atmosphere can effectively slow the trend of global temperature rise. The solar chimney power plant integrated with photocatalytic reactor (SCPP-PCR) is a promising concept for both clean electricity generation and large-scale atmospheric methane removal. In this paper, this concept was for the first time quantitatively verified by integrating a photocatalytic reactor in the collector of SCPP to realize the above two targets. A systematic numerical model was proposed to evaluate the performance of degradation of methane and the electricity generation of the SCPP-PCR. The results revealed that the methane purification rate decreased with increasing turbine rotational speed, but the photocatalytic efficiency improved.

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Field Evaluation of Ability of Photocatalytic Concrete Pavements to Remove Nitrogen Oxides

Cited by 12 publications

References 12 publications

Supervised Intelligence Committee Machine to Evaluate Field Performance of Photocatalytic Asphalt Pavement for Ambient Air Purification

Supervised Intelligence Committee Machine to Evaluate Field Performance of Photocatalytic Asphalt Pavement for Ambient Air Purification

Functional Materials Based on Active Carbon and Titanium Dioxide in Fog Seal

A novel green technology: Reducing carbon dioxide and eliminating methane from the atmosphere

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