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Parametric optimization of supercritical power plants using gradient methods

Kler A.M., Zharkov P.V., Epishkin N.O. Parametric optimization of supercritical power plants using gradient methods // Energy. ID: 116230. 2019. DOI: 10.1016/j.energy.2019.116230 Gradient nonlinear optimization methods are among the most effective approaches to determine the optimal parameters of thermal power plants. These methods allow us to consistently optimize a large number of thermodynamic and design parameters and mass flow rates ...

Теги: cost of electricity , gradient methods , mathematical modeling , nonlinear optimization , specific plant investments , supercritical power plants , costs , heat transfer , mathematical models , nickel alloys , nonlinear equations , nonlinear programming , superheater
Раздел: ИСЭМ СО РАН


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