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Production costing strategy for optimal SO2 compliance using Monte Carlo simulation
Affiliation:1. Service de Radiologie Générale Adulte, Hôpital Bicêtre, Hôpitaux Universitaires Paris-Sud, Département Médico Universitaire Smart Imaging, Assistance Publique des Hôpitaux de Paris, Le Kremlin-Bicêtre, France;2. BioMaps, Université Paris-Saclay, Hôpital Kremlin-Bicêtre, Le Kremlin-Bicêtre, France;3. Hôpital Fondation Adolphe de Rothschild, Paris, France;4. Faculté de Médecine, Maïeutique, et Sciences de la Santé, Université de Strasbourg, Strasbourg, France;5. ICube–UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France
Abstract:One of the main goals of electric utilities is to meet the required load demand in the most cost effective manner. With the continuing emphasis on environmental factors and the addition of the Clean Air Act Amendments of November 1990, cost effective solutions must now be subject to environmental considerations. This paper describes a simple framework which uses the Monte Carlo method to develop an economic and emissions based objective function for use in a production cost model. A computer program has been developed to implement this method on a DEC 3100 workstation. System studies are performed to illustrate the technique.
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