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Wyszukujesz frazę "Khalili-Damghani, Kaveh" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
A novel Data Envelopment Analysis model with complex numbers : measuring the efficiency of electric generators in steam power plants
Autorzy:
Esfandiari, Mahmood
Saati, Saber
Navabakhsh, Mehrzad
Khalili-Damghani, Kaveh
Powiązania:
https://bibliotekanauki.pl/articles/406274.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
Data Envelopment Analysis
power plant
power plant efficiency
complex numbers
Opis:
The output of a generator in power plant is the electricity, and it consists of two parts, active and reactive power. These quantities are expressed as complex numbers in which the real part is the active power and the imaginary part is the reactive power. Reactive power plays an important role in an electricity network. Ignoring it will exclude a lot of information. With regard to the importance of the generators in power plants, surely, calculating the efficiency of these units is of great importance. Data Envelopment Analysis (DEA) is a nonparametric approach to measure the relative efficiency of Decision-Making Units (DMUs). Since the generators data are complex numbers, thus, if we the use classical DEA models in order to measure the efficiency of the generators in power plants, the reactive power cannot be considered, and the measurement is limited to the real number of electric power. In this paper, a new DEA model with complex numbers is developed in order to assess the performance of the power plant generators.
Źródło:
Operations Research and Decisions; 2019, 29, 4; 41-52
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic reliability assessment of a complex recovery system using fault tree, fuzzy inference and discrete event simulation
Autorzy:
Nobakhti, Abolghasem
Raissi, Sadigh
Damghani, Kaveh Khalili
Soltani, Roya
Powiązania:
https://bibliotekanauki.pl/articles/2038031.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
dynamic reliability assessment
Fault Tree Analysis (FTA)
Mamdani Fuzzy Inference Method
discrete event simulation
flare gas recovery system
Opis:
Any failure on the recovery system will cause a lot of environmental damage as well as energy loss. Hereof two types of alternatives; fast opening valve system (FOVS) and seal drum system (SDS) may be installed. The focus of this article is on the decision stage to choose the most preferred option in terms of reliability assessment. The major challenge in the research problem is on changing the pressure and temperature during operational cycles, which significantly affect the reliability. In addition, the lack of historical data complicates the reliability assessment method. Hence, we proposed a hybrid approach using fault tree analysis (FTA) and the Mamdani fuzzy inference to estimate reliability response as a function of a few frequently operating pressure and temperature. Also, discrete-event simulation helped us to evaluate the system reliability at different operating conditions. The comparisons reveals that the FOVs outperforms on average of 22.4% than the SDS and it is recommended for putting into practice for purchasing.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 4; 593-604
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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