NDLI: CO, SO and NO Emissions Constrained Multi-Criteria-Best Generation Mix Using Fuzzy Set Theory

Content Provider	IEEE Xplore Digital Library
Author	Jaeseok Choi Sangheon Jeong Shi Bo Jeongje Park El-Keib, A. Watada, J.
Copyright Year	2007
Description	Author affiliation: Cornell Univ., Ithaca (Jaeseok Choi; Sangheon Jeong; Shi Bo; Jeongje Park; El-Keib, A.; Watada, J.)
Abstract	A new approach considering $CO_{2}$ air pollution constraints in the long-term generation mix is proposed under uncertain circumstances. $CO_{2}$ emission of electricity system industry has over thirty percent of total emission quantity in the world. The $CO_{2}$ emission in coal power plant competitive with nuclear power plant is very severe. The air pollution in coal is requiring LNG or new environmental type generation system (wind power, solar power tidal power et al.) instead of coal power plant, despite the new generation systems ask for very high construction cost. A characteristic feature of the presented approach in this paper is what effects give the air pollution constraints in long term best generation mix. Best generation mix problem is formulated by linear programming with fuel and construction cost minimization with load growth, reliability (reserve margin rate) and air pollution constraints. The proposed method accommodates the operation of pumped-storage generator. It was assumed in this study that the construction planning of the hydro power plants is given separately from the other generation plans. The effectiveness of the proposed approach is demonstrated by applying to the best generation mix problem of KEPCO-system, which contains nuclear, coal, LNG, oil and pumped-storage hydro plant in multi-years.
Starting Page	118
Ending Page	124
File Size	403613
Page Count	7
File Format	PDF
ISBN	9781424415823
DOI	10.1109/LESCPE.2007.4437364
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-10
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power generation Nuclear power generation Air pollution Solar power generation Wind energy generation Liquefied natural gas Costs Wind energy Solar energy Character generation
Content Type	Text
Resource Type	Article

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