An optimization platform for Poland's power sector considering air pollution and health effects |
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| Affiliation: | 1. AGH University of Science and Technology, Al. Mickiewicza 30, Krakow, 30-059 Poland;2. Academic Computer Centre CYFRONET AGH, ul. Nawojki 11, Krakow, 30-950 Poland;1. University of Hradec Králové, Faculty of Informatics and Management, Rokitanského 62, 50003 Hradec Králové, Czech Republic;2. Charles University Prague, Faculty of Mathematics and Physics, Malostranské nám. 25, 11800 Praha 1, Czech Republic;1. Universitat Miguel Hernández d’Elx, Spain;2. Department of Economic Analysis, Universitat de València, Spain;3. Department of Economics IRES, Université Catholique de Louvain, Belgium;1. Department of Psychology, University of Miami, Coral Gables, FL;2. Department of Psychology, San Diego State University, San Diego, CA;3. Institute for Minority Health Research, College of Medicine, University of Illinois, Chicago, IL;4. Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, NY;5. Collaborative Studies Coordinating Center, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC;6. Department of Health Promotion/Behavioral Science, Graduate School of Public Health, San Diego State University, San Diego, CA;7. Institute for Behavioral and Community Health, Graduate School of Public Health, San Diego State University, San Diego, CA;8. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC;1. Institute of Environmental Engineering, Polish Academy of Sciences, 34 M. Sk?odowska-Curie St., 41-819 Zabrze, Poland;2. The Main School of Fire Service, Faculty of Fire Safety Engineering, 52/54 S?owackiego St., 01-629 Warsaw, Poland;3. Faculty of Civil and Environmental Engineering, Department of Meteorology and Climatology Warsaw University of Life Sciences, 166 Nowoursynowska St., 02-776 Warsaw, Poland |
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| Abstract: | The article demonstrates the features and applicability of the πESA platform designed for optimization of the Poland's power sector considering air pollution and health effects. πESA is comprised of: a bottom-up energy-economic model TIMES-PL, an air quality modelling system Polyphemus and a module for assessment of environmental and health impacts MAEH. It has been designed as a web application employing computational resources of the ZEUS cluster of the PL-Grid infrastructure. The results show, that the impact of carbon prices on the fuel and technological power generation structure is much stronger as compared to impact of fuel prices. Future PM emissions from the centralized power and heat generation sector do not differ much irrespective of energy scenario considered. For analysed cases, the statistical life expectancy in Poland due to long-term exposure to PM2.5 air pollution is reduced on average by approx. 183 days. That gives over 12 million years lost for all cohorts included in the analysis. |
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| Keywords: | Energy system Optimization Integrated impact assessment Health Modelling |
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