Development of a fuzzy energy-emission model

Energy-emission models are widely used to elaborate emission reduction strategies for almost all Western countries. Usually, these models are a mapping of the whole energy conversion chain and possible future options for energy supply and emission reduction into a network of energy flows. They use the minimization of the total discounted costs as the goal function under the restriction of maximum allowed emission of SO₂, NO_x, or CO₂. Here, the limits on emissions as well as on other constraints in the model are modeled as fuzzy sets to show the decline of the decision maker´s satisfaction with regard to exceeding the limits to reflect the political decision situation more realistically. The first results of the interactive solution procedure are evaluated by the model for the decision maker. For testing the model, a small part of the whole EFOM-ENV application to Lithuania has been chosen. The two goals of emission reduction and cost minimization are given