Facultad Regional Rosario

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Author: search.filters.author.Benz, Sonia JudithSubject: search.filters.subject.multiperiod optimization

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    Optimal life cycle oriented design of a GT + 1PSH HRSG type CCGT power plant.
    (2010) Godoy, Ezequiel; Benz, Sonia Judith; Scenna, Nicolás José
    In the present work, a life cycle oriented approach is used for designing power plants in a way they can satisfy the desired demand along the whole time horizon, while a selected performance indicator of the project is optimized. As case study, optimal design characteristics as well as optimal values of long term operation parameters of a GT + 1PSH HRSG Type CCGT power plant (GT: gas turbine, 1PSH HRSG: 1 pressure with superheater-heat recovery steam generator, CCGT: combined cycle gas turbine) are obtained by means of a multiperiod mathematical model, seeing that the selected performance indicator is maximized. In addition, advantages of the life cycle oriented approach results are discussed when compared with a power plant design obtained by traditional methods.
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    Optimal economic strategy for the multiperiod design and long-term operation of natural gas combined cycle power plants.
    (Elsevier, 2012-08-25) Godoy, Ezequiel; Scenna, Nicolás José; Benz, Sonia Judith
    Optimal power plant designs are achieved by means of a proposed multiperiod non-linear programming formulation that utilizes the net present value as objective function, while construction, operation and dismantling of the generation facility are accounted for. In addition, optimal operative characteristics are also established for each operative time period, in a way that the system constraints are always satisfied. Based on the life cycle oriented economic optimal characteristics, a reduced model is proposed as strategy for simplifying the resolution of the rigorous multiperiod model. Trends in the system behavior are identified, enabling the reduction of the multiperiod formulation into a system of non-linear equations plus additional constraints, which allows easily computing accurate estimations of the optimal values of the design variables as well as the time-dependent operative variables.