Title of article :
An operational real-time air quality modelling system
for industrial plants
Author/Authors :
R. San Jose´ a، نويسنده , , *، نويسنده , ,
J.L. Pe´rez b، نويسنده , , R.M. Gonza´lez b، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2007
Abstract :
The advances on computer power capabilities and air quality modelling systems (AQMS) has reached to a high degree of sophistication during
the last decade. Nowadays, the state-of-the-art air quality modelling systems such as MM5eCMAQ can handle the evaluation of air pollution
concentrations in a very high detail in time and space. MM5 is a non-hydrostatic modelling system developed by PSU/NCAR (USA) during the
last 20 years and continuously updated by the scientific community. CMAQ is a Community Multi-scale Air Quality Modelling System for simulating
the transport and chemical concentrations in the air in 3D space and time developed by EPA (USA) in 2000. Both systems are complementary
and allow a full simulation of the atmospheric flow to determine the amount of air pollution concentration exists in the 3D space and
during a specific period of time. TEAP (a tool to evaluate the air quality impact of industrial plants) is an EUREKA project coordinated by UPM
with the participation of INDRA S.A., Institute of Physics (Lithuania) and AB ‘MAZEIKIU NAFTA’ (Lithuania). This tool allows the industrial
plants e and electric power plants e to have a full control in real-time and forecasting mode of the impact of the industrial emission under daily
basis by using the so-called ONeOFF operational mode. The ONeOFF mode requires to run the AQMS both time in parallel by using the
industrial plant emissions (ON) and excluding them (OFF). The system allows a full knowledge of the impact of industrial emissions for the
next 48e72 h in full space (3D) domain, time and for every criteria pollutant (NOx, SO2, CO, O3, PM). The system requires a powerful
post-processing analysis module and a clustering approach to optimize the computer capabilities. The system is mounted over a PC cluster platform
under Linux operating system. Results show a full and detail analysis of the amount of air pollutant concentrations due to the industrial
plant emissions in time and space and under daily operational basis. The EU Air Quality Directives mark the air concentration limits to be taken
into account into the TEAP system in forecasting mode to be fulfilled. The system allows to simulate also different industrial emission reduction
strategies according to the optimal economical/production balance. The system can easily be adapted for emergency use.
Keywords :
Real-time , Operational , Industrial emissions , Air quality
Journal title :
Environmental Modelling and Software
Journal title :
Environmental Modelling and Software