Temperature excursions and vaccine freezing are results of poor temperature control systems used in vaccine cold chain. The use of medium temperature fridges due to inadequate vaccine refrigerators has had great negative impacts on the coverage of national immunization programs in developing countries, as many vaccines are often wasted due to loss of vaccine potency, thereby leading to wastage of investment. To surmount these challenges, an adapted fridge displays case model using Aquila-based model predictive control strategy for preserving vaccines at the correct temperature range of 2^oC and 8^oC is proposed. Temperature responses using Aquila-based model predictive controller was compared with traditional model predictive controller (MPC) and proportional-integral-derivative (PID) controller. Simulation results show that Aquila-based MPC has better capability in mitigating against the problem of accidental freezing and temperature excursion by keeping the vaccine temperature at 5.8^oC even in the presence of additive disturbances, while the traditional MPC controller could not keep the temperature between the recommended range due to tuning by trial and error, and the PID controller has oscillations for about 4.5hours before settling at 8^oC in the absence of disturbances. All simulations are performed using MATLAB 2020a.