A computational tool designed to estimate the duration an ozone-producing device needs to operate in a given environment is a valuable resource. This tool typically considers factors such as the size of the space, the desired ozone concentration level, and the output capacity of the specific device being used. For instance, a user might input a room’s dimensions (length, width, height), a target parts-per-million (ppm) ozone level for disinfection, and the device’s ozone generation rate (mg/hr) to determine the estimated operational time. The result assists in optimizing the sanitization process.
The employment of such a tool can enhance the effectiveness and safety of ozone treatment protocols. By providing a more precise estimate of operational duration, it mitigates the risks associated with under- or over-exposure to ozone. Historically, determining appropriate exposure times relied on estimations and generalized guidelines. This new approach offers a more tailored and data-driven method, potentially leading to improved outcomes in odor removal, mold remediation, and pathogen inactivation.
