Simplified steady-state representation of slot synthetic jet actuators to enable numerical optimization with steady RANS simulations

To address the growing energy use of data centers, waste heat recuperation offers a solution to better integrate these facilities into broader system, thus facilitating transition decarbonization system. The liquid coolants for full immersion cooling or local extraction from high power density components is considered this purpose. However, can also be extracted by novel air approaches, perhaps in combination with localized cooling. optimize air-cooled systems and maximize grade, synthetic jets (SJs) used targeted adaptive conjunction ducting facilitate maximum potential rack server-mounted air-to-liquid exchangers. Internal server layouts optimized numerically, e.g., using multiple objective genetic algorithm approach based on minimization entropy generation rates. since SJs are inherently transient flow phenomena, would require simulations, which forms bottleneck numerical optimization loop. This research aims develop simplified steady-state representation jet actuator (SJA) slot orifice body force generate similar time-averaged field real SJA, suitable steady Reynolds-averaged Navier–Stokes simulations within Both fields compared terms mean field, spreading rate, turbulence intensity distributions.