Selflearning platforms for energy optimatization in buildings

Important results from the project

The project aimed to develop a prototype for replacing manual processes in energy optimization that could indicate whether such a product could be commercially viable. The project also aimed to identify the actors who have the greatest incentive to switch from manual optimization. We have through the project been able to select and deselect the hardware and make decisions about the performance requirements that are relevant. We have also been able to identify our target customers.

Expected long term effects

We have completed the project with the so-called ´rapid prototyping´ method in order to continually seek feedback from both all technical aspects of the project as well as from potential customers. We have found that we to a greater extent than expected can make use of on the market already existing components for the technical platform, and further, we found that although our audience sees added value in the new technology they hesitate about being first.

Approach and implementation

An important lesson early in the project was that our project-management was too large and somewhat erratic and we therefore chose to buy more of the investigations from a larger vendor instead of relying on several individuals, which is what we had planned from the beginning. Furthermore, we discovered quite soon after the project-start that we had underestimated labor efforts in market analysis and for budgetary reasons, we renegotiated the payments to equity.