Facultad Regional Rosario

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Author: search.filters.author.Benz, Sonia JudithSubject: search.filters.subject.power plant

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    Implications of a state-space approach for the economic optimal design of a NGCC power plan.
    (2014-10) Godoy, Ezequiel; Benz, Sonia Judith; Scenna, Nicolás José
    A detailed state-space approach is here embedded in the optimization model for the economic design of a new natural gas combined cycle (NGCC) power plant. This proposal comprehensively quantifies the impact of different adopted values for two critical parameters: the number of simultaneously and independently failed components, and the number of simultaneous events. The former depicts the maximum number of components (gas turbines, steam turbine, HRSGs, auxiliary services, etc.) that seem feasible to fail because of independent causes at the same time. The latter describes the maximum number of transitions between operating conditions, which is directly linked to the amount of available maintenance resources (personnel, parts, etc). Implications of a wide array of values for these two parameters over the economic optimal solutions are thoroughly discussed, where it is observed that more accurate and detailed estimations of the expected economic performance for the project are attained.
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    Families of optimal thermodynamic solutions for combined cycle gas turbine (CCGT) power plants
    (Elsevier, 2009-10-30) Godoy, Ezequiel; Scenna, Nicolás José; Benz, Sonia Judith
    Optimal designs of a CCGT power plant characterized by maximum second law efficiency values are determined for a wide range of power demands and different values of the available heat transfer area. These thermodynamic optimal solutions are found within a feasible operation region by means of a nonlinear mathematical programming (NLP) model, where decision variables (i.e. transfer areas, power production, mass flow rates, temperatures and pressures) can vary freely. Technical relationships among them are used to systematize optimal values of design and operative variables of a CCGT power plant into optimal solution sets, named here as optimal solution families. From an operative and design point of view, the families of optimal solutions let knowing in advance optimal values of the CCGT variables when facing changes of power demand or adjusting the design to an available heat transfer area.