Ice Energy is transforming energy system efficiency and reliability by providing utilities with a unique solution for intelligently managing their load profile. ICE Energy provides utilities smart grid solutions that integrate distributed energy storage, two-way controlled assets, and peak load shifting as a renewable portfolio resource. At the core of their solution is a clean storage technology that permanently shifts thermally driven peak load off-peak, enabling utilities to reshape their load curve, improve overall asset utilization, and integrate intermittent renewables.
A casual review of Ice Energy’s solution naturally tends to focus on the storage product itself which, as an effectively lossless thermal energy storage technology, directly addresses HVAC load, which is the TaxonomyItemHtml cause of the peak load problem. However, the true innovation comes in both the large scale, distributed deployment, and the software infrastructure that transforms it into a utility scale, smart grid resource. The heart of the software infrastructure is OSIsoft’s product line. It touches a vast majority of Ice Energy’s business processes, is the foundation for all monitoring and diagnostics, and provides an essential component for integration with each utility’s PI own implementation.
Ice Energy’s presentation addresses their unique use of OSIsoft’s technology, and the value created by OSIsoft as a strategic partner.
Speaker
Brian Parsonnet
Brian Parsonnet is co-founder of Ice Energy and has 30 years of experience in technology innovation and strategic business development. Brian founded successful start-up companies in three disciplines: software, hardware, and services. Most recently, he led product strategy for a top-tier growth division of Honeywell. During his twelve year tenure, Brian invented the System Health Management technology, which led to new growth businesses in the Industrial Automation and Control, Aerospace and Homes & Buildings divisions. Brian has an MS in EECS from Columbia University, with a focus on optimal control theory, and a BS in EECS from Princeton University.