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Cost-effective sulphur emission reduction under uncertainty
Authors:Anna Altman  Markus Amann  Ger Klaassen  Andrzej Ruszczyński  Wolfgang Schöpp
Institution:1. Systems Research Institute, ul. Newelska 6, 01-447 Warsaw, Poland;2. International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria;1. School of Telecommunications Engineering, Xidian University, PR China;2. School of Cyber Engineering, Xidian University, PR China;3. Engineering University of Chinese Armed Police Force, PR China;4. Department of Computer Science, Technical University of Catalonia, Spain;5. Hubei University of Technology, PR China;1. Dalian National Laboratory for Clean Energy, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;1. Department of Civil Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada;2. Department of Physics and Astronomy, University of Manitoba, Winnipeg, MB R3T 2N2, Canada;3. Department of Biosystem Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada;4. College of Pharmacy, University of Manitoba, Winnipeg, MB R3E 0T5, Canada;1. DiSPeA, Università degli Studi di Urbino “Carlo Bo”, Urbino, Italy;2. Istituto di Scienze dell’Atmosfera e del Clima, Consiglio Nazionale delle Ricerche, Bologna, Italy;3. Centre for Ecology & Hydrology, Edinburgh, United Kingdom;4. Department of Chemistry, University of Leicester, Leicester, United Kingdom;5. Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel;6. Environmental Research Group, King’s College London, London, United Kingdom;7. University of Exeter Medical School, Knowledge Spa, Truro, United Kingdom
Abstract:The problem of reducing SO2 emissions in Europe is considered. The costs of reduction are assumed to be uncertain and are modeled by a set of possible scenarios. A mean-variance model of the problem is formulated and a specialized computational procedure is developed. The approach is applied to the trans-boundary air pollution model with real-world data.
Keywords:Environment  Probabilistic programming  Interior point methods
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