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Author: | Ko, A. S. Chang, N. B. |
Title: | Optimal planning of co-firing alternative fuels with coal in a power plant by grey nonlinear mixed integer programming model |
Journal: | Journal of Environmental Management
2008 : JUL, VOL. 88:1, p. 11-27 |
Index terms: | power production models industrial society ecology optimization USA case studies |
Freeterms: | coal-fired power plant biomass refuse-derived fuel clean technology grey programming Michigan City |
Language: | eng |
Abstract: | In this article, particular attention is directed to ways of resolving conflict between economic and environmental goals by encouraging a power plant to consider co-firing biomass and refuse-derived fuel (RDF) with coal simultaneously. It aims at reducing the emission level of sulfur dioxide (SO2) in an uncertain environment, using the power plant in Michigan City, Indiana as an example. To assess the uncertainty by a comparative way both deterministic and grey nonlinear mixed integer programming (MIP) models were developed to minimize the net operating cost with respect to possible fuel combinations. It aims at generating the optimal portfolio of alternative fuels while maintaining the same electricity generation simultaneously. To ease the solution procedure stepwise relaxation algorithm was developed for solving the grey nonlinear MIP model. Breakeven alternative fuel value can be identified in the post-optimization stage for decision-making. Research findings show that the inclusion of RDF does not exhibit comparative advantage in terms of the net cost, albeit relatively lower air pollution impact. Yet it can be sustained by a charge system, subsidy program, or emission credit as the price of coal increases over time. |
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