Examples disclosed herein relate to an energy optimizer device including a memory, one or more processors configured to execute an electronic game of energy saving and render the electronic game on a display. The energy optimizer device comprises hardware sensor or capturing device for obtaining equipment data from energy equipment associated with a user. The electronic game may be executed with one or more applications and configured to render badge level associated with a user's use of energy equipment, tips of energy saving, enrollment options of a demand management program, recommendation for upgrading of energy equipment, virtual reality avatar representing renewable resources registered, and information about incentives/rebates. The energy optimizer device may communicate with other energy optimizer devices in a peer-to-peer manner and enable multiple users to play the electronic game together from respective energy optimizer devices.

This invention presents an integrated air and hydronic testing, adjusting, balancing, and reporting system. Comprising essential HVAC data collection equipment, data processing software, and advanced algorithms leveraging machine learning and artificial intelligence, the system analyzes building design, energy conservation, and actual conditions against infection control requirements, contamination removal requirements, and regulatory standards. The invention's methodology gathers room condition data and applies ventilation regulations and structural attributes to assess adherence to air balance standards, breathing zone requirements, exhaust rates, energy efficiency, occupational safety, infection control, and regulatory mandates.

Described herein are devices and methods for calculating a network sustainability index (NSI) and providing specific remediation/action plans to achieve better sustainability in network infrastructures. The NSI is calculated based on one or more of three main parameters: a reporting parameter, an optimization parameter, and/or a device energy efficiency rating. The reporting parameter may evaluate the capability of each device to report its power consumption, considering factors such as granularity, component-level reporting, and reporting frequency. The optimization parameter may assess whether a device participates in network energy optimization. The device energy efficiency rating may evaluate the energy efficiency of each device. A recommendation portal offers actionable insights and remediation plans based on the calculated NSI. The devices and methods allow administrators to list eligible devices for energy optimization, ensuring a comprehensive approach to network sustainability and facilitating targeted measures for improved energy efficiency.