A multi-period optimization model for energy planning with CO emission consideration

A novel deterministic multi-period mixed-integer linear programming (MILP) model for the power generation planning of electric systems is described and evaluated in this paper. The model is developed with the objective of determining the optimal mix of energy supply sources and pollutant mitigation...

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Publicado en:Journal of Environmental Management Vol. 91; no. 5; pp. 1063 - 1071
Autores principales: Mirzaesmaeeli, H., Elkamel, A., Douglas, P.L., Croiset, E., Gupta, M.
Formato: Artículo
Publicado: Academic Press Inc. May2010
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2010
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      pub: Academic Press Inc.
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        48614387
        10.1016/j.jenvman.2009.11.009
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        atl: A multi-period optimization model for energy planning with CO emission consideration
      aug:
        au:
          Mirzaesmaeeli, H.
          Elkamel, A.
          Douglas, P.L.
          Croiset, E.
          Gupta, M.
        affil:
          Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
          CANMET Energy Technology Centre, Natural Resources Canada, 1 Haanel Drive, Ottawa, ON K1A 1M1, Canada
      su:
        Economic demand
        Electric power production management
        Carbon dioxide & the environment
        Linear programming
        Mathematical optimization
        Emission control
        Mathematical models
        Energy demand management
      sug:
        subj:
          Economic demand
          Industrial Gas Manufacturing
          Fossil Fuel Electric Power Generation
          Electric power production management
          Carbon dioxide & the environment
          Linear programming
          Mathematical optimization
          Emission control
          Mathematical models
          Energy demand management
      keyword:
        Carbon management
        Energy
        Multi-period planning
        Optimization
        Carbon management
        Energy
        Multi-period planning
        Optimization
      ab: A novel deterministic multi-period mixed-integer linear programming (MILP) model for the power generation planning of electric systems is described and evaluated in this paper. The model is developed with the objective of determining the optimal mix of energy supply sources and pollutant mitigation options that meet a specified electricity demand and CO emission targets at minimum cost. Several time-dependent parameters are included in the model formulation; they include forecasted energy demand, fuel price variability, construction lead time, conservation initiatives, and increase in fixed operational and maintenance costs over time. The developed model is applied to two case studies. The objective of the case studies is to examine the economical, structural, and environmental effects that would result if the electricity sector was required to reduce its CO emissions to a specified limit.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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