WIT Press

Emission Projections From Energy Production And Waste Management In The CAM (Spain)


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WIT Press


J. Lumbreras, M.J. Sánchez & M. E. Rodríguez


Emission projections from energy production and waste management in the CAM (Spain) J. Lumbreras1*, M.J. Sanchez2 & M. E. Rodriguez1. 1 Departamento de Ingenieria Quimica Industrial y del Medio Ambiente, Universidad Polite'cnica de Madrid (UPM). C/ Jose' Gutie'rrez Abascal, 2. 28006- Madrid. Spain 2 Departamento de Ingenieria de Organizacidn, Administracidn de Empresas y Estadistica, UPM Abstract The Universidad Polittcnica de Madrid (UPM) is currently studying industrial activities that can produce air pollutants. The CORINAIR methodology is being used and the associated nomenclature called SNAP (Selected Nomenclature for Air Pollution) has been selected to complete an inventory [5]. This inventory considers all the pollutant sources declared in CORINAIR'94. The inventory is being time and spatially disintegrated. The reference methodology developed in this project is very close to those used in the European Union and the Geneva Agreement and could be of guidance for other Spanish regions. The time period considered begins in 1995 and lasts until 2020. The aim of the study is to obtain detailed information about air pollutant activities and their current and future emissions in order to identify the incidence of each activity in air quality, to give useful information for regulatory decisions and to support decisions in the cases of great disturbances of air quality. The study presented covers two sectors called SNAP 1 (Public power, cogeneration and district heating plants) and SNAP 9 (waste treatment and disposal) in the CAM (Autonomous region in the centre of Spain that includes the city of Madrid). Official data from 1995 through 2000 are used for validating and evaluating the goodness of the methodology. For the rest of the period we study the incidence of changing technology and equipment to reduce air pollutant emission. Scenarios are based in statistical predictions, socioeconomic