This thesis investigates the optimization of energy consumption for rotorcraft navigating turbulent flow fields. Using a model-based approach grounded in actuator disk theory and Newtonian mechanics, the vehicle is simplified as a point-mass influenced by drag, and buoyancy. A three dimensional homogeneous isotropic turbulence (HIT) field is generated using the NGA2 solver, and trajectories are optimized via Fourier series representation combined with MATLAB-based constrained optimization techniques. The study compares energy expenditures for various navigation strategies, including straight-line, random, and “do-nothing” paths. Results indicate that, under certain flow regimes (especially for moderate inverse turbulence intensity G ≈ 0.5 − 1), significant energy savings can be achieved—relative to flight those in quiescent conditions. These findings offer insights for the development of energy-efficient autonomous aerial vehicles operating in turbulent environments.