Facultad Regional Rosario

Permanent URI for this communityhttp://48.217.138.120/handle/20.500.12272/108

Browse

Filters

20092

Settings

Author: search.filters.author.Benz, Sonia JudithEnd date: 2009

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Life cycle oriented design of a GT + 1PSH HRSG type CCGT power plant .
    (2009-12) Godoy, Ezequiel; Scenna, Nicolás José; Benz, Sonia Judith
    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 selected economic indicators of the project are 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: 1 pressure with superheater, HSRG: heat recovery steam generator, CCGT: combined cycle gas turbine) are obtained by means of a multiperiod mathematical model, seeing that the net present value of the facility is maximized. In addition, advantages of the life cycle oriented approach are discussed when compared with a power plant design obtained by traditional methods.
  • Thumbnail Image
    Item
    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.