Case Study: Saint-Gobain achieves lower energy costs and demand response revenues with Stem Athena

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Preview of the Saint-Gobain Case Study

Saint-Gobain

Saint-Gobain, a chemical and material manufacturer, faced high energy costs from operating heavy machinery and significant demand spikes during equipment start-up at its plant. These costs were difficult to manage without interrupting strict production demands. To address this, Saint-Gobain partnered with vendor Stem and its Athena artificial intelligence platform.

Stem's solution used the Athena AI to automatically manage the facility's energy usage patterns and grid reliance, activating a battery system to prevent costly demand spikes without interrupting operations. This required no capital outlay from Saint-Gobain. The results included automatic savings on operational costs, deeper insight into energy use for the facilities team, and the generation of new revenue through demand response participation. The project achieved 10-year savings of $285,000.


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