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Search results for: TURBINE LINEAR REGRESSION MACHINE LEARNING OPTIMIZATION ORC

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Search results for: TURBINE LINEAR REGRESSION MACHINE LEARNING OPTIMIZATION ORC

  • Impact of rotor geometry optimization on the off-design ORC turbine performance

    Publication
    • Ł. Witanowski
    • P. Klonowicz
    • P. Lampart
    • P. Klimaszewski
    • T. Suchocki
    • Ł. Jędrzejewski
    • D. Zaniewski
    • P. Ziółkowski

    - ENERGY - Year 2023

    The paper describes the method of CFD based Nelder-Mead optimization of a 10 kW single-stage axial turbine operating in an ORC system working on R7100. The total-to-static isentropic efficiency is defined as an objective function. Multi-point linear regression is carried out to determine the significance of the objective function arguments and to pick up the set of particular variables and characteristic quantities (e.g. flow angles)...

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  • Domestic ORC micro-CHP combined with a commercial gas boiler

    Publication

    - Year 2014

    The chapter presents the results of experimental studies conducted during the launch of the first in Poland demonstration prototype of the micro ORC coupled to a domestic gas boiler. The accomplished studies indicated the possibility for the ORC module to work with such boiler (autonomous source of heat) with a prototype single-stage axial micro turbine as the expansion machine. Confirmation of that fact has been delineated in...

  • Analysis of Organic Rankine Cycle efficiency and vapor generator heat transfer surface in function of the reduced pressure

    Publication

    - ENERGY - Year 2022

    In the paper presented is analysis of the influence of reduced pressure on efficiency and heat transfer area of vapor generator of Organic Rankine Cycle (ORC) in case of subcritical and supercritical parameters of operation. Compared are two cases of subcritical and supercritical ORC featuring a similar arrangement of heat source supply and heat removal, that is featuring the same temperatures of working fluid before the turbine,...

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  • Multi-objective optimization of the ORC axial turbine for a waste heat recovery system working in two modes: cogeneration and condensation

    Publication

    - ENERGY - Year 2023

    Due to the demand of the district heating network and electric power grid ORC turbines can operate in the condensation and cogeneration modes. This approach requires the design of an expander which is characterized by high efficiency in each mode of operation. The paper is devoted to a multi-objective efficiency optimization of a one stage axial ORC turbine working on MM (Hexamethyldisiloxane). An Implicit Filtering algorithm (IF)...

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  • Ireneusz Czarnowski Prof.

    People

    IRENEUSZ CZARNOWSKI is a graduate of the Faculty of Electrical Engineering at Gdynia Maritime University. He gained a doctoral degree in the field of computer science at Poznan University of Technology and a postdoctoral degree in the field of computer science at Wroclaw University of Science and Technology. Since 1998 is associated with Gdynia Maritime University, currently is a professor of computer science in the Department...