1,721,009 research outputs found

    THERMOECONOMIC OPTIMIZATION OF HEAT RECOVERY STEAM GENERATORS OPERATING PARAMETERS FOR COMBINED PLANTS

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    The optimization of the heat recovery steam generator (HRSG) is particularly interesting for the combined plants design in order to maximise the work obtained in the vapour cycle. A detailed optimization of the HRSG is a very difficult problem, depending on several variables. The first step is represented by the optimization of the operating parameters. These are the number of pressure levels, the pressures, the mass flow ratio, and the inlet temperatures to the HRSG sections. The operating parameters can be determined by means both of a thermodynamic and of a thermoeconomic analysis, minimising a suitable objective function by analytical or numerical mathematical methods. In the paper, thermodynamic optimization is based on the minimization of exergy losses, while the thermoeconomic optimization is based on the minimization of the total HRSG cost, after the reduction to a common monetary base of the costs of exergy losses and of installation

    DIMAP: a Modular Computer Code for the Thermodynamic, Exergetic and Thermoeconomic Simulation of Energy Systems

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    The increasing complexity of energy conversion plants, aimed at obtaining higher efficiencies with lower environmental impact, requires the availability of suitable computer codes, flexible and precise. These codes can be used not only in designing the plants, but also in simulating actual design and off-design operation, in scheduling maintenance, in deciding replacement of obsolete components, etc. Modular simulators can often help in simulating complex energy systems, having many components which may be assembled in different ways and are affected by several internal recirculation flows. The code DIMAP is presented here, emphasizing its simple mathematical method of solution. DIMAP can perform both exergetic and thermoeconomic analysis, supplying information on the exergetic and monetary costs of the internal flows and of the final products. The calculations can be carried out over a selected period of time, in order to predict the weighted average performances of the plants working under variable loads

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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