Project details

Energy saving algorithm design

Published by: Energy Start up



Application domain: Energy

Budget (EUR): UP TO 15000

Project description

Tree Solutions is an Italian innovative start up focused on heating and cooling system optimization. The company has developed an innovative approach to increase the efficiency of heating systems in large buildings by optimizing energy usage, reducing waste. The solution is based on an electronic device, named "BRAIN", designed to monitor and control the heating/cooling efficiency of existing systems.
On the one hand BRAIN collects data about the system operation, on the other hand it can apply the corrective actions needed to make the system more efficient.
In the European scene, buildings are responsible for 40% of the global energy consumption: since most of the primary energy is derived from fossil fuels, which cause air pollution and GHG emission, reducing fuel consumption would be one of the most beneficial actions for the environment.
In large buildings a high amount of energy is spent for heating and cooling systems. Ideally, optimizing the energy usage would, in many cases, require replacing old systems with newer, more efficient ones; another approach would consist of improving the building thermal insulation. Both solutions, however, require huge investments.
Tree Solutions is seeking to develop an algorithm that minimizes the spread between the produced heating/cooling and the distributed one.
The algorithm will drive a device that dynamically controls the whole system equipment, adjusting in real-time the energy production according to the actual need of the users, thus maximizing the system efficiency.
The innovative control logic, coupled with a machine learning system, will give the right timing for a correct and efficient heat transfer, enabling a significant decrease in the energy request to the generator and at the same time maintaining the temperature and comfort inside the rooms.

Project goal

The project goal is a machine learning and self-adaptive algorithm, able to dynamically adjust the production of thermal energy according to the actual building needs, optimizing the thermal transfer from generation to emission.