In this paper, the optimization of a hybrid solid oxide fuel cell–gas turbine (SOFC–GT) power plant is presented. The plant layout is based on an internal reforming SOFC stack; it also consists of a radial gas turbine, centrifugal compressors and plate-fin heat exchangers. In the first part...

A suitable operational strategy for a power interchange operation using multiple residential solid oxide fuel cell (SOFC) cogeneration systems for saving energy is investigated by an optimization approach based on mixed-integer linear programming. In this power interchange operation, electricity...

A power interchange operation, in which electric power generated by multiple residential solid oxide fuel cell cogeneration systems (R-FCGSs) is shared among residences in a housing complex with no reverse power flow to a commercial electric power system, has a high energy-saving effect as...

The Gauss-Marquardt-Levenberg (GML) method of computer-based parameter estimation, in common with other gradient-based approaches, suffers from the drawback that it may become trapped in local objective function minima, and thus report optimized parameter values that are not, in fact, optimized...

Driven by increased complexity of dynamical systems, the solution of system of differential equations through numerical simulation in optimization problems has become computationally expensive. This paper provides a smart data driven mechanism to construct low dimensional surrogate models. These...

This paper presents an application of pattern search optimization technique for extracting the parameters of different solar cell models. These models are single diode, double diode, and photovoltaic module. The solar cell parameters estimation is viewed and formulated as a multivariate...

A number of different analytical and numerical methods have previously been proposed to estimate solar cell/module parameters. For a single diode model, the parameters include the photocurrent, the saturation current, the parasitic series and shunt resistances, and the ideality factor. Among the...

Driven by increased complexity of dynamical systems, the solution of system of differential equations through numerical simulation in optimization problems has become computationally expensive. This paper provides a smart data driven mechanism to construct low dimensional surrogate models. These...