Open AccessDetermination of efficiency of condensation and heat teflification turbo units on the basis of turbine energy characteristics
Author(s) -
A. S. Melnikov,
B. I. Popov
Publication year - 2020
Publication title -
vescì nacyânalʹnaj akadèmìì navuk belarusì. seryâ fìzìka-tèhnìčnyh navuk
Language(s) - English
Resource type - Journals
eISSN - 2524-244X
pISSN - 1561-8358
DOI - 10.29235/1561-8358-2019-64-4-438-446
Subject(s) - turbine , cogeneration , steam turbine , computer science , efficient energy use , power (physics) , turbo generator , turbo , work (physics) , process engineering , energy (signal processing) , thermal efficiency , idle , electricity generation , reliability engineering , automotive engineering , combustion , mechanical engineering , engineering , mathematics , statistics , physics , electrical engineering , quantum mechanics , operating system , chemistry , organic chemistry
In this work, the problem of calculating the efficiency of turbo-units of various types that are part of the equipment of electric and thermal energy sources was solved. In simplified approaches to the representation of turbine units, often used in algorithms of power system optimization programs, in order to reduce the estimated time, the dependence of the plant efficiency on the current power is ignored, the influence of the pressure in the steam extraction of cogeneration turbines to cover the heat load and the idle speed of the turbines are not taken into account. These approaches are easy to use and implement, however, they can introduce noticeable errors in the optimization results due to the lack of consideration of parameters and dependencies that occur in real equipment operation modes and significantly affect the amount of fuel used by the optimized system. In contrast to the simplified approach, energy characteristics were used in the work to determine the efficiency factors characterizing the efficiency of turbine units. This allows providing a more accurate assessment of the effectiveness in various operating modes without significantly complicating the algorithm with a slight increase in the estimated time. Using the proposed approach showed the presence of a noticeable refinement of efficiency compared to simple models and, therefore, the feasibility of representing turbine units using energy characteristics in program algorithms designed to optimize energy systems.