Industrial Emissions Control Technologies: Introduction

Kwiatkowski, Szymon; Polat, Merve; Yu, Weijia; Johnson, Matthew S.

doi:10.1007/978-1-0716-0596-7_1083

Cited by 7 publications

(3 citation statements)

References 65 publications

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“…Common air pollutants like Nitrogen Oxide (NO x ), Ozone (O 3 ), Carbon Monoxide (CO), and Particular Matters (PM 2.5 ) primarily stem from industrial activities and transportation emissions (Munsif et al 2021;Kwiatkowski et al 2021). Air quality forecasting has become increasingly important, serving as a vital component in air pollution warnings and weather management strategies, garnering significant attention in recent years.…”

Section: Criteria For Common Air Pollutantsmentioning

confidence: 99%

Clearing the Air: A Multi-Objective Approach to Industrial Air Pollution Prediction with Bi-Directional Stacked LSTM Model

Chatterjee,

Re,

Thara

et al. 2024

Preprint

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Industrial air pollution stands out as a pressing contemporary issue. Prolonged exposure to air pollutants significantly threatens public health, leading to severe respiratory and lung disorders. Currently, the regulations governing the monitoring and control of industrial pollution lack the necessary stringency. Therefore, this study encompasses parameters related to ambient air and stack emissions 1 from industries namely: Clearing the Air: A M ulti-Objective Approach to Industrial Air Pollution Prediction with Bi-Directional Stacked LSTM Model by employing Multi-Objective Bi-directional Stacked LSTM Model (MOBiLe). This study aims to predict emission rates and conducted a comparative analysis among the state-of-art models. The accuracy of the MOBiLe model is assessed by measuring the Mean Square Error and and Validation Mean Absolute Error. Notably, the MOBiLe model exhibited the lowest error among all state-of-art models at 30%, 40%, 45%, 50%, and 60%, respectively. Subsequently, air dispersion model like Gaussian Dispersion Model are utilized on the forecasted emission rates to assess the spreading of air pollutant concentrations originating from the source, specifically at the stack level.

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Section: Criteria For Common Air Pollutantsmentioning

confidence: 99%

Clearing the Air: A Multi-Objective Approach to Industrial Air Pollution Prediction with Bi-Directional Stacked LSTM Model

Chatterjee,

Re,

Thara

et al. 2024

Preprint

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“…Industrial thermal and catalytic oxidisers typically have a high thermal efficiency, ca. 95% [16]. At a typical operating temperature of 1000 • C this implies a heat loss corresponding to a change in temperature of the airstream of 50 K. Taking the specific heat capacity of air ∼1 J (g K) −1 and the density of air ∼1.2 kg m −3 , this means the specific power requirement is ∼60 kJ m −3 .…”

Section: Introductionmentioning

confidence: 99%

A high efficiency gas phase photoreactor for eradication of methane from low-concentration sources

Krogsbøll,

Russell,

Johnson

2023

Environ. Res. Lett.

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Despite the urgent need, very few methods are able to efficiently remove methane from waste air with low cost and energy per unit volume, especially at the low concentrations found in emissions from e.g. wastewater treatment, livestock production, biogas production and mine ventilation. We present the first results of a novel method based on using chlorine atoms in the gas phase, thereby achieving high efficiency. A laboratory prototype of the methane eradication photochemical system (MEPS) technology achieves 58% removal efficiency with a flow capacity of 30 l min−1; a reactor volume of 90 l; UV power input at 368 nm of 110 W; chlorine concentration of 99 ppm; and a methane concentration of 55 ppm; under these conditions the apparent quantum yield (AQY) ranged from 0.48% to 0.56% and the volumetric energy consumption ranged from 36 to 244 kJ m−3. The maximum achieved AQY with this system was 0.83%. A series of steps that can be taken to further improve performance are described. These metrics show that MEPS has the potential to be a viable method for eliminating low-concentration methane from waste air.

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“…Industrial thermal and catalytic oxidisers typically have a high thermal efficiency, ca. 95% [16]. At a typical operating temperature of 1000 • C this implies a heat loss corresponding to a change in temperature of the airstream of 50 K. Taking the specific heat capacity of air ∼1 J/(g K) and the density of air ∼1.2 kg/m 3 , this means the specific power requirement is ∼60 kJ/m 3 .…”

Section: Introductionmentioning

confidence: 99%

A High Efficiency Gas Phase Photoreactor for Eradication of Methane from Low-Concentration Sources

Krogsbøll,

Russell,

Johnson

2023

Preprint

View full text Add to dashboard Cite

Despite the urgent need, very few methods are able to efficiently remove methane from waste air with low cost and energy per unit volume, especially at the low concentrations found in emissions from e.g. wastewater treatment, livestock production, biogas production and mine ventilation. We present the first results of a novel method based on using chlorine atoms in the gas phase, thereby achieving high efficiency. A laboratory prototype of the Methane Eradication Photochemical System (MEPS) technology achieves 58% removal efficiency with a flow capacity of 30 L/min; a reactor volume of 90 L; UV power input at 368 nm of 110 W; chlorine concentration of 99 ppm; and a methane concentration of 55 ppm; under these conditions the apparent quantum yield (AQY) ranged from 0.48 to 0.56% and the volumetric energy consumption ranged from 36 to 244 kJ/m3. The maximum achieved AQY with this system was 0.83%. A series of steps that can be taken to further improve performance are described. These metrics show that MEPS has the potential to be a viable method for eliminating low-concentration methane from waste air.

show abstract

Industrial Emissions Control Technologies: Introduction

Cited by 7 publications

References 65 publications

Clearing the Air: A Multi-Objective Approach to Industrial Air Pollution Prediction with Bi-Directional Stacked LSTM Model

Clearing the Air: A Multi-Objective Approach to Industrial Air Pollution Prediction with Bi-Directional Stacked LSTM Model

A high efficiency gas phase photoreactor for eradication of methane from low-concentration sources

A High Efficiency Gas Phase Photoreactor for Eradication of Methane from Low-Concentration Sources

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