Modeling and evaluation of DeNOx photocatalysts under real world conditions

التفاصيل البيبلوغرافية
العنوان: Modeling and evaluation of DeNOx photocatalysts under real world conditions
المؤلفون: Jonathan Z. Bloh, Julia Patzsch
المصدر: Journal of Environmental Chemical Engineering. 8:104062
بيانات النشر: Elsevier BV, 2020.
سنة النشر: 2020
مصطلحات موضوعية: business.industry, Process Chemistry and Technology, Kinetic analysis, 02 engineering and technology, 010501 environmental sciences, 021001 nanoscience & nanotechnology, 01 natural sciences, Pollution, chemistry.chemical_compound, Nitrate, chemistry, Hazardous waste, Chemical Engineering (miscellaneous), Environmental science, Figure of merit, 0210 nano-technology, Process engineering, business, Ternary operation, Waste Management and Disposal, Nitrogen oxides, Value (mathematics), Air quality index, 0105 earth and related environmental sciences
الوصف: Photocatalytically active building materials can contribute to better air quality by mineralizing the hazardous nitrogen oxides to nitrate. Evaluation of these materials is very important for optimization and implementation at target sites. However, the currently widely used ISO 22917-1:2016 test is unsuitable to estimate the effect on real scenarios since it employs too high concentrations and only evaluates the NO oxidation potential, completely ignoring the more relevant NO2. Herein, we present a methodology to better simulate the real-world performance of these materials based on its effect on the ternary mixture NO/NO2/O3 under environmentally relevant concentrations, which can also be simulated by means of kinetic analysis of experimentally less complex single component measurements. From this, a new figure of merit - the trend value - is derived to rate the materials' performance.
تدمد: 2213-3437
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::48fdffc6c5a1ee0f708b9601d3b48fae
https://doi.org/10.1016/j.jece.2020.104062
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........48fdffc6c5a1ee0f708b9601d3b48fae
قاعدة البيانات: OpenAIRE