Real Time And Operational Air Quality Forecasts
In A Power Plant In Spain
Author(s)
R. San José, J. L. Pérez & R. M. González
Abstract
Sophisticated and complex air quality models belonging to the so-called \“third
generation of air quality modelling systems” are nowadays to be adapted and
implemented into state-of-the-art computer cluster platforms which allow an
operational use of the air quality modelling systems for forecasting applications.
This type of application allows a full control \“in advance” of the impact on air
quality concentrations of the emissions produced by different emission sources.
In this application, a combined cycle power plant is used. Large industrial
emissions located in the surrounding areas of cities are a substantial and
important part of air concentrations in the surrounding areas of the city and
industrial plant. In this contribution we show the implementation of an adapted
version of the MM5-CMAQ – PSU/NCAR and EPA (US) models – modelling
system for a large combined cycle power plant located in the near Madrid city
(Spain). The system is implemented in an 8 – node cluster platform
(Pentium –IV, 3,4 GHz) to provide in real-time the impact of the different power
groups on the O3, NOx, PM10, SO2 and CO air concentrations in accumulative
mode and in forecasting mode for up to 72 hours in advance with a decision
take-up period of about 16 hours. The air quality modelling system has been
mounted over three model domains with 9 km, 3 km and 1 km spatial resolution
respectively and 23 vertical layers (up to 100 mb) with a full emission model
(EMIMO) to provide emissions in detail for these three areas covering up to 400
x 400 km for the mother domain and 24 x 24 km for the 1 km spatial resolution
model domain, all centered in the specific industrial plant (combined cycle
power plant). The system called TEAP (EUREKA project)—a Tool to Evaluate
the Air Quality Impact of Industrial Plants—allows one to quantify and qualify
the impact of each individual power group (400 MW) in real-time and
forecasting mode. As a consequence, the industrial plant and authorities have a
period of time ( ≈ 16 hours) to make the decision to switch off one power group
or several, to minimize or avoid the possible exceedance of EU limits – as
declared in the EU directives. The quantification of the impact of these possible
exceedances of EU Directives due to the emissions produced by the power plant
is essential to making decisions according to the daily forecasts.
Keywords
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