Modelling Gas Turbine Blade Cooling with Dynamic Programming
Rezaul Fernando
Corresponding
Politecnico di Milano
Tanvir Wang
Shahjalal University of Science and Technology
Abstract
The need for sustainable and low-cost solutions has focused attention on gas turbine blade cooling within high-rise buildings. The approach adopts dynamic programming to optimise the design variables subject to practical constraints. The proposed method reduces the error by about 54% compared with the conventional approach. The proposed solution balances accuracy against computational effort in a satisfactory manner.
Keywords:
gas turbine blade coolingdynamic programmingMIMO systemswater resources managementnumerical simulation
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