Read and access IIASA's models, tools, and data.

Research Projects

Read about individual research projects and activities at IIASA.

Research Partners

Read how IIASA works with research partners across the globe to deliver world-class research.

Models, Tools & Data

Read and access IIASA's models, tools, and data.

Cost-Effective Sulphur Reduction Under Uncertainty

Authors: Altman A, Amann M, Klaassen G, Ruszczynski A, Schoepp W

Publication Year: 1994

Reference: IIASA Working Paper WP-94-119

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 transboundary air pollution model with real-world data.
KEYWORDS: environment, probabilistic programming, interior point methods