Edge Solution™ for Energy Optimization

Edge Solution™ applies big data analytics and advanced machine learning engine on the heterogeneous data, user knowledge and feedback to provide forecasting and optimization to prescriptively drive intelligent decision and efficient operation, agnostic to asset types. 

Application in Grid Reliability

The software supports predictive maintenance, dynamic treatment, and contingency analysis of electric grids and gas operations, specifically electrical equipment/components such as feeders, cable sections, joints, terminators, transformers, manholes, and others.  For gas operation, it enables cast iron/aging piping replacement and prioritization ranking optimization, leak repair prioritization and leak prediction, ultrasonic, acoustic and other diagnostics and image processing. It can predict impending failure events, estimate MTBF (mean time between failures), rank components’ susceptibility to failure thus prioritizing replacement program. 

Application in Utility Asset Management

The software uses empirical data with feedback loop to do cost benefits analysis, evaluating benefits of actual investments and as a result improves decision making capability for future investments. For power grid operators, the reliability improvement is a KPI for major capital projects. The software enhances the execution of asset management programs in utilities to improve KPIs. It helps utilities to maximize return on investments keeping all programs at efficient frontier. 

Application in Energy Storage Integration, Renewable Power Generation and Microgrid

This software integrates and optimizes multiple sources and sinks, balancing solar/wind or other renewable power generation, grid scale energy storage, power grid capacity and reliability, demand and economics, to ensure maximum benefits for the renewable power producer while satisfying other parties’ needs. It enables adaptive control for Microgrid, matching and tuning heterogeneous energy sources (grid, distributed generation such as Solar/Wind, CHP/NG, Diesel generation), energy consumers (curtailable or non-curtailable load), energy storages (batteries), bi-directional EV charging stations and others to achieve reliable, cost-efficient operation of the Microgrid.  

Application in Buildings and Health Care Facilities

This software allows building and health care facility managers and operators to not only obtain real time data on energy consumption but also adjust facility behavior based on that data. It provides holistic integration of real-time data from all building sub-systems, intelligent forecasting and optimization to aid building operation decisions, autonomic capability to actuate building sub-systems such as VFDs through common protocol (such as BACnet or Modbus) as an autopilot, to achieve energy-efficient intelligent building.

Application in EV Charging Facilities

This software provides intelligent control of EV charging facilities to minimize electric load demand and impact to the power grid, while maximizing EV charging capacity and economics. It works for facilities with EV chargers, onsite energy storage, and onsite power generation. The incremental demand peak and associated cost incurred for demand based on EV fleet size with this solution is many times less than the plain vanilla EV charging facilities.