CO2, sox and NOx emissions constrained multi-criteria-best generation mix using fuzzy set theory

Jaeseok Choi, Sangheon Jeong, Shi Bo, Jeongje Park, A. A. El-Keib, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)

    Abstract

    A new approach considering CO2 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 CO2 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.

    Original languageEnglish
    Title of host publicationLESCOPE'07 - 2007 Large Engineering Systems Conference on Power Engineering
    Pages118-124
    Number of pages7
    DOIs
    Publication statusPublished - 2007
    Event2007 Large Engineering Systems Conference on Power Engineering, LESCOPE'07 - Montreal, QC
    Duration: 2007 Oct 102007 Oct 12

    Other

    Other2007 Large Engineering Systems Conference on Power Engineering, LESCOPE'07
    CityMontreal, QC
    Period07/10/1007/10/12

    Fingerprint

    Fuzzy set theory
    Air pollution
    Coal
    Power plants
    Liquefied natural gas
    Tidal power
    Linear programming
    Solar energy
    Wind power
    Nuclear power plants
    Costs
    Electricity
    Planning
    Industry

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Control and Systems Engineering

    Cite this

    Choi, J., Jeong, S., Bo, S., Park, J., El-Keib, A. A., & Watada, J. (2007). CO2, sox and NOx emissions constrained multi-criteria-best generation mix using fuzzy set theory. In LESCOPE'07 - 2007 Large Engineering Systems Conference on Power Engineering (pp. 118-124). [4437364] https://doi.org/10.1109/LESCPE.2007.4437364

    CO2, sox and NOx emissions constrained multi-criteria-best generation mix using fuzzy set theory. / Choi, Jaeseok; Jeong, Sangheon; Bo, Shi; Park, Jeongje; El-Keib, A. A.; Watada, Junzo.

    LESCOPE'07 - 2007 Large Engineering Systems Conference on Power Engineering. 2007. p. 118-124 4437364.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Choi, J, Jeong, S, Bo, S, Park, J, El-Keib, AA & Watada, J 2007, CO2, sox and NOx emissions constrained multi-criteria-best generation mix using fuzzy set theory. in LESCOPE'07 - 2007 Large Engineering Systems Conference on Power Engineering., 4437364, pp. 118-124, 2007 Large Engineering Systems Conference on Power Engineering, LESCOPE'07, Montreal, QC, 07/10/10. https://doi.org/10.1109/LESCPE.2007.4437364
    Choi J, Jeong S, Bo S, Park J, El-Keib AA, Watada J. CO2, sox and NOx emissions constrained multi-criteria-best generation mix using fuzzy set theory. In LESCOPE'07 - 2007 Large Engineering Systems Conference on Power Engineering. 2007. p. 118-124. 4437364 https://doi.org/10.1109/LESCPE.2007.4437364
    Choi, Jaeseok ; Jeong, Sangheon ; Bo, Shi ; Park, Jeongje ; El-Keib, A. A. ; Watada, Junzo. / CO2, sox and NOx emissions constrained multi-criteria-best generation mix using fuzzy set theory. LESCOPE'07 - 2007 Large Engineering Systems Conference on Power Engineering. 2007. pp. 118-124
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