With over 80% of global internet traffic attributed to video content, and tentpole movies averaging 2,840 tonnes of CO2 emissions, the media industry faces urgent sustainability challenges that will intensify with the increased adoption of AI in production workflows. The industry is embracing techniques such as Virtual Production (VP), and its wider adoption is expected to reduce the energy demands and carbon footprint. However, there are no existing standards or tools available to allow developers or creators of visual processing algorithms and systems to assess the energy footprint of existing digital workflows in post-production systems and digital synthesis techniques used in VP, or develop new algorithms and tools that are optimised for energy consumption. This work analyses two different approaches for energy monitoring to gather the necessary information to understand the current power requirements of standard VP hardware.