RTP’s GridLogic System™ enables participation in demand response by bridging the gap between existing building management systems, existing electric metering solutions, and the energy market or utility systems that administer demand response programs. Our background in building automation and controls helps us work with existing infrastructure in providing an automated link to the energy markets. The system employs a scalable architecture that can monitor and control one to thousands of facilities as a single dynamic resource. Three key advantages to our solution are real-time dispatch through site-level automation, system scalability, and load reduction verification through two-way communication.
One of the foundations of our GridLogic System™ is using automation to remove the element of human error from load reduction strategies. Our server cluster monitors real-time market indicators, such as market prices and emergency demand response signals. Once a signal to dispatch load is received or an indicator is met, the GridLogic System™ reduces electrical usage through on-site automation, within 5 minutes. Our hands-off approach gives the end-user flexibility to focus on continuing business operations while ensuring delivery of program commitments.
The second advantage to the RTP GridLogic System™ is its scalability. Load control can be handled for a single facility to thousands of facilities, including custom aggregations, without a delay in dispatch response time. This dispatch capability is a result of the server cluster based system architecture.
RTP’s GridLogic System™ moves beyond automated load control to incorporate automated event monitoring, settlements, and custom reporting. Each load control device within the system automatically confirms the receipt of the dispatch signal from the server cluster and confirms the expected load reduction. Live event monitoring, meter data, and automated baseline calculations confirm load reduction throughout the entire event. Post-event analysis provides the necessary event performance data.