With the advent of technologies in industrial remote controlling (Tele-operation), operators interact with machines from a distance. Such systems improve personal safety and work environments but there are challenges in conveying accurate on-site information to the remote site, like perceiving (on-site) visual information, which is one of the main inputs for remote operators to interpret real-world events. Providing visual information in remote operating systems needs real-time video streaming which is energy-demanding. In this research, we investigated the impact of video quality (spatial video resolution)and latency (video buffer size) on user’s experience and energy consumption. Overall, there is a trade-off between the user’s comfortableness and energy consumption in the lab-based Tele-operation system. We observed the energy consumption through an increase in voltage drop over a fixed time where the current was constant with the highest spatial resolution and the highest video latency while there were no significant differences in the user’s comfort. We could, thus, encourage users to use adaptive video streaming considering a tradeoff between acceptable QoE and sustainable video stream choices in Tele-operation.