EEC (Energy Efficiency Control)

Energy efficiency and conservation can lower energy use to provide the same level of service. Driven by the desire for utility bill savings and environmental protection, energy efficiency measures permanently reduce peak load by reducing overall consumption. This is typically achieved in industrial facilities by installing energy efficient equipment and facilitating efficient operations.

Too often, data-driven efficiency opportunities are lost in the complexity of the facility and human involvement is required for monitoring and targeting improvements. This imposes an additional human resource cost. E2M-enabled Energy Efficiency Control (EEC) provides machine-learning to offer instant advice on the energy efficiency at any given site at any given moment. EEC dynamically adjusts its baseline machine-learning to calculate intelligence from real-life conditions – giving pre-filtered advice to the Shift Operations for improvement.

EEC also provides an auditable system to view the efficiency of a facility before, then after an efficiency project implementation. EEC is often used as a tool to validate Energy Performance Contract (KPIs), or regulatory benchmarks such as the Energy Efficiency Opportunities Act verification.