Application of fuzzy multiple objective linear programming on aggregate emission control for fossil power plants

碩士 === 國立屏東科技大學 === 工業管理系所 === 97 === As the agreement of green house regulation achieved internationally, an issue on reducing CO2 for fossil power plants which emit a considerable ratio each year becomes critical. Impacts are expected for those fossil power plants without reduction action plans. T...

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Bibliographic Details
Main Authors: Liu, Jia-You, 呂佳祐
Other Authors: Wang, Earl-Juei
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/72431994389603077605
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Summary:碩士 === 國立屏東科技大學 === 工業管理系所 === 97 === As the agreement of green house regulation achieved internationally, an issue on reducing CO2 for fossil power plants which emit a considerable ratio each year becomes critical. Impacts are expected for those fossil power plants without reduction action plans. To achieve cost-effectiveness and the lowest cost with CO2 reduction goals, fossil power plants must consider mitigation alternatives in terms of emission trading, joint implementation, and clean development mechanism called as flexible mechanism. This study focuses on CO2 reduction issue for the operation of current fossil power plants. A fuzzy multiple objective linear programming model is formulated to analyze cost-effectiveness regarding with alternatives of low carbon fuel, scrubbing equipment, and purchasing emission allowance under aggregate emission control regulation. Factors considers in the proposed model are CO2 emission regulation, current emission status, and reduction alternatives. The proposed model was examined via tests on a fossil power plant in southern Taiwan. The results obtained herein provide utility planners with further insight into the systematic analysis and potentials for the cost effectiveness of mathematical applications.