French multinational electric utility company ENGIE, in partnership with software provider C3.ai, have launched Smart Institutions an AI-powered holistic energy-as-a-service software solution.

The solution is tailored for universities, municipalities, corporate campuses, and hospitals.

According to a joint media statement, Smart Institutions enables organisations to proactively and automatically manage their buildings and energy assets to increase sustainability, enhance energy efficiency and pave the way for their zero-carbon transition.

The software was first deployed at The Ohio State University as part of a plan to reduce energy use across the 485-building campus in Columbus.

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“When we launched our work with The Ohio State University two years ago, we looked forward to advancing new possibilities, from improving ways to heat, cool, and power the campus to collaborating on potentially transformational technologies and services that someday could be shared far beyond Columbus,” said Gwenaëlle Avice-Huet, Group Executive Vice President and CEO of ENGIE’s North America Business Unit.

Avice-Huet added: “Collaborating with C3.ai on the development of Smart Institutions has enabled us to create our own new technology solution, leading the way to the zero-carbon transition for large institutions.”

Setting standards for energy transformation initiatives

Also commenting on the development, Ed Abbo, President and chief technology officer at C3.ai. said: “An Energy-as-a-Service software solution powered by the C3 AI platform, Smart Institutions is enabling cutting-edge organizations to set the standard for energy transformation initiatives.”

The Smart Institutions is helping campuses and other large institutions achieve their sustainability and financial objectives through:

  • Energy optimisation: the ability to predict energy consumption, and then optimise across the entire network to reduce costs, including production, distribution, and consumption.
  • Capital planning: the ability to plan long-term capital improvements using dynamic building and network modelling.
  • Campus engagement: the ability to use data and behavioural science techniques to engage students and faculty to reduce their environmental impact.