“We design what we operate, we operate what we design.”

Feasibility studies, sizing, and design are carried out by our teams. This design stage is performed without falling into a classic engineering firm bias: over-sizing. Over-sizing allows the engineering firm to protect itself from any future challenges. However, this impacts the final price, and installations operate at reduced capacity. By operating what we design, we have an interest in sizing adequately, thus preventing this bias.

“We are responsible for the quality of the components we install.”

The quality of execution and components is critical for the future operation of the network. By assuming the future role of operator, network performance is the priority. Therefore, incentives are aligned to drive excellence during construction.

“We make zero carbon accessible and competitive.”

We ensure the long-term financial sustainability of the system. Karno commits to the system’s upkeep costs, both in terms of maintenance and component updates. By committing to these costs, Karno is incentivized to maintain the installation optimally to ensure profitability. We also contribute to the initial investment by financing auxiliary systems that improve system performance. Learn more about the financing of our systems.

“Our predictive maintenance specialists ensure the comfort of the end-user.”

Heating networks allow the transfer of maintenance responsibility to the operator. Their upkeep is not assumed by the end-customer, unlike with a traditional boiler. At Karno, we take care of maintaining the system in optimal condition. This ensures long-term, worry-free operation for both the developer and the end-customer. For more efficient maintenance that maximizes reliability and minimizes costs, we deploy predictive maintenance tools.

“Our latest-generation control system optimizes and maximizes the network’s energy efficiency.”

Throughout the system’s lifespan, Karno manages its regulation. This regulation is guided by cutting-edge tools. We utilize the latest technologies in optimization and artificial intelligence to enhance network performance and minimize primary energy consumption. This performance is encouraged because Karno’s results are directly linked to the network’s performance.