Air Quality Management
Reducing Air Pollution Through Control, Treatment and Monitoring
Effective air pollution control technologies are used to meet the environmental reduction targets. Reduction management is optimized through continuous in-line monitoring of efficiency and regular maintenance. Volatile organic compounds (VOCs) reduction targets have been set by AUO and emissions are managed at the source. The environmental management system ensures that environmental targets are met.
Materials and their contribution to emissions are tracked to reduce materials usage at the source
Separation through dedicated conduits for effective collection
Effective control equipment and technologies tailored to the nature of the pollutants are used. Treatment efficiency is increased to reduce environmental emissions.
Emissions are managed through continuous monitoring and external testing. An internal response and handling mechanism has also been established.
Goals and ResultsReduce environmental burden
Continue to reduce the emission of Volatile Organic Compounds (VOCs)2018 accomplishments
VOCs emissions reduced by 23%
Adoption of high-efficiency VOCs removal equipment
AUO invested in the construction of a tri-tower emissions incinerator with zeolite rotor systems operating in rotation to improve the reliability of the treatment system. The absorption, desorption, cooling, concentration and incineration modules are configured as a continuous process for high-efficiency processing of emissions and to improve the VOCs removal rate.
New technology to reduce acidic odors
A review of the separation, collection and emissions process was conducted and a new treatment plan for organic acids drawn up. A new type of horizontal scrubber was introduced for acidic pollutants to effectively treat highly concentrated acetic acid pollutants, and reduce the direction emission of pollutants with low odor thresholds into the atmosphere. Air quality in the surrounding environmental was improved as a result.Improved results:
AI monitoring of air quality
The "AUO AI Air Quality Monitoring Network" developed by the Taichung site combined a self-developed environmental monitoring network with the Internet, geography, time, wind speed, wind direction and other meteorological data. AI computing technology was also incorporated to convert data and text from single points into a three-dimensional visualized display that simulates potential air-quality hot spots around the site. The time axis can also be rapidly changed to enhance visual traceability and improve the quality of site emission management.