Cost-effective sulphur emission reduction under uncertainty

Anna Altman; Markus Amann; Ger Klaassen; Andrzej Ruszczyński; Wolfgang Schöpp

doi:10.1016/0377-2217(94)00359-9

Cost-effective sulphur emission reduction under uncertainty

Anna Altman, Markus Amann, Ger Klaassen, Andrzej Ruszczyński, Wolfgang Schöpp

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

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.

Original language	English (US)
Pages (from-to)	395-412
Number of pages	18
Journal	European Journal of Operational Research
Volume	90
Issue number	3
DOIs	https://doi.org/10.1016/0377-2217(94)00359-9
State	Published - May 10 1996
Externally published	Yes

All Science Journal Classification (ASJC) codes

Computer Science(all)
Modeling and Simulation
Management Science and Operations Research
Information Systems and Management

Keywords

Environment
Interior point methods
Probabilistic programming

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10.1016/0377-2217(94)00359-9

Cite this

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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.",

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AU - Altman, Anna

AU - Amann, Markus

AU - Klaassen, Ger

AU - Ruszczyński, Andrzej

AU - Schöpp, Wolfgang

PY - 1996/5/10

Y1 - 1996/5/10

N2 - 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.

AB - 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.

KW - Environment

KW - Interior point methods

KW - Probabilistic programming

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M3 - Article

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JF - European Journal of Operational Research

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ER -

Cost-effective sulphur emission reduction under uncertainty

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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