Natively optimized low-carbon energy systems...
We have developed thermal energy systems based on reliable and proven hardware technologies, enriched with Data Science and Artificial Intelligence algorithms that they lacked in order to be perfectly optimized. This scientific approach to energy systems first enables us to optimize the design, using optimization models that no single human being can perform, in order to size a system that delivers the highest performance at the lowest cost. Secondly, Machine Learning algorithms ensure that performance is not left to the randomness of environmental conditions. We bring intelligence and optimization where there was none and that changes everything.
...towards a globally optimized building
Optimizing thermal energy systems is only one of the aspects we want to solve to democratize the low carbon building. To go further, we need to take a holistic approach to the building by taking into account the reduction of needs via the envelope, the efficiency with which energy is used and the decarbonation of the means of production. This technical and economic optimum, which is so difficult to achieve today and which we have found to be a brake on the massification of energy renovation, is achieved through the algorithms of our solutions, which compare thousands of scenarios in a matter of seconds.