Building Dynamics provides the scale, scope, and security to be the Energy Management Center platform for utilities working to more effectively identify, implement, and manage energy efficiency on their network. Building Dynamics enables local data collection using open standards. This sophisticated system was built around the stringent secure and scalable back-end system requirements that utilities must upgrade to. Building Dynamics provides easy to use energy savings identification analytics, in both automated and manual modes, to maximize opportunities. The system supports configurable reporting capabilities, allowing the utility to communication internally and with their customers and supplier
Multi-building campuses can use Building Dynamics to track consumption across multiple commodities (electricity, gas, steam, and chilled water) and to identify and prioritize energy-conservation measures across the portfolio. Buildings are compared and ranked using a set of standard and custom metrics. A unique feature of Building Dynamics for campuses is its ability to adapt to the frequently changing occupancy patterns that facilitate the capture of additional savings.
In commercial buildings, Building Dynamics can be used to identify, prioritize, and implement energy conservation measures. Continuous monitoring and analysis of the building data reveal opportunities for immediate operational savings while additional sensing and processing elements can provide intelligent decisions to the preexisting building management system to improve energy performance. The progress on larger projects can be tracked using the online measurement and verification feature.
Older industrial buildings with high energy consumption can be quickly analyzed using Seldera’s online analytics and ad hoc sensing and metering infrastructure. This discovers where electricity is wasted during idle times and identifies the control points needed for more efficient operations. For this analysis, Building Dynamics offers an information-driven approach that starts with a study of 15-minute interval data to identify the most efficient instrumentation strategy for each plant.