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A solar-driven UV/Chlorine advanced oxidation process.

Po Yee Chan¹, Mohamed Gamal El-Din¹, James R Bolton¹

¹Department of Civil and Environmental Engineering, University of Alberta, 3-133 Markin/CNRL, Edmonton, AB, T6G 2W2 Canada.

|September 4, 2012

Summary

This summary is machine-generated.

Solar UV light can initiate advanced oxidation processes using hypochlorite (OCl(-)) for water treatment. This study quantifies the process efficiency for pollutant degradation and develops a method to predict photoreaction rates under sunlight.

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Area of Science:

Environmental Chemistry
Photochemistry
Water Treatment Technologies

Background:

The absorption spectrum of hypochlorite ions (OCl(-)) overlaps with solar UV radiation.
This overlap suggests solar photons can initiate UV/chlorine advanced oxidation processes (AOPs).
The study investigates the application of this solar-driven AOP for water and wastewater treatment.

Purpose of the Study:

To investigate the feasibility of using solar UV/chlorine AOP for water treatment.
To determine quantum yields for hypochlorite photolysis and hydroxyl radical generation.
To evaluate the degradation of methylene blue and cyclohexanoic acid under solar irradiation.

Main Methods:

Bench-scale experiments were conducted to measure quantum yields at 303 nm.
Photobleaching of methylene blue (MB) and photodegradation of cyclohexanoic acid (CHA) were studied under simulated and actual sunlight.
A theoretical calculation method was developed to estimate photoreaction rates using solar spectrum data and experimental quantum yields.

Main Results:

The quantum yield for OCl(-) photolysis at 303 nm was determined to be 0.87 ± 0.01.
Hydroxyl radical yield factor was 0.70 ± 0.02 for 1.13 mM OCl(-).
MB photobleaching and CHA photodegradation were achieved, with OCl(-) concentration being key for MB and an optimal concentration found for CHA. A scavenger effect was noted at higher OCl(-) levels.

Conclusions:

Solar UV/chlorine AOP is a viable process for water treatment, effectively degrading organic pollutants like MB and CHA.
Experimental quantum yields for OCl(-) photolysis and pollutant degradation were established.
A validated theoretical method allows for the estimation of photoreaction rates under sunlight, aiding process design and optimization.