A hybrid approach to optimization of radial inflow turbine with principal component analysis - Publikacja - MOST Wiedzy

Wyszukiwarka

A hybrid approach to optimization of radial inflow turbine with principal component analysis

Abstrakt

Energy conversion efficiency is one of the most important features of power systems as it greatly influences the economic balance. The efficiency can be increased in many ways. One of them is to optimize individual components of the power plant. In most Organic Rankine Cycle (ORC) systems the power is created in the turbine and these systems can benefit from effective turbine optimization. The paper presents the use of two kinds of hybrid stochastic/deterministic methods for 3D blade shape optimization of a 10 kW single-stage radial inflow turbine (RIT) and compares the obtained results with those received from the stochastic or deterministic methods. Eight algorithms were used altogether, including one stochastic, three deterministic and four hybrid algorithms. Principal component analysis (PCA) was used to analyze the optimization process. 3D models of selected reference and optimized geometries were created to compare the differences in the obtained flow characteristics. At least two different geometries were found for which the efficiency increased by above 2 pp. (validated on refined grids). The increased efficiency was obtained over the entire investigated range of mass flow rate, with a value of the total-to-static efficiency of 90.6% at the nominal point obtained using a hybrid method.

Cytowania

  • 8

    CrossRef

  • 0

    Web of Science

  • 1 0

    Scopus

Autorzy (4)

Cytuj jako

Pełna treść

pełna treść publikacji nie jest dostępna w portalu

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
ENERGY nr 272,
ISSN: 0360-5442
Język:
angielski
Rok wydania:
2023
Opis bibliograficzny:
Witanowski Ł., Ziółkowski P., Klonowicz P., Lampart P.: A hybrid approach to optimization of radial inflow turbine with principal component analysis// ENERGY -Vol. 272, (2023), s.127064-
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.energy.2023.127064
Źródła finansowania:
  • IDUB
Weryfikacja:
Politechnika Gdańska

wyświetlono 233 razy

Publikacje, które mogą cię zainteresować

Meta Tagi