Boiler rooms: meta-approach
The notable purpose of “Atmosphere” is to tackle climate change by reaching energy efficiency in different types of buildings. Specifically, we help to adjust boiler rooms modes with our prediction-based consulting, which makes people who own them one of our main markets. But boiler-rooms do not simply stand out in a field or street mostly and are an essential part of big buildings, so they are mentioned in many of our described cases.
We offer proactive boiler efficiency, powered by on-site weather prediction and consulting based on it. With the "Atmosphere", intelligent decision support system, each boiler room will reach up to 25% of energy savings and CO2 emissions reduction. They will win the time by scheduling future weather changes precisely and beforehand. Moreover, it will help to form priorities in heating, for instance, to different floors, and optimize heating response time, which is the time needed to accelerate or brake the heating system.
A big building is affected by winds and humidity, not only changes of temperature, and that is what affects boiler room mode. Arrays of sensors are to be installed to measure atmospheric parameters. Conditions outside form the need in heating and cooling, so using the grid to predict weather on 6 – 12 hours ahead for a chosen site is essential.
Set of parameters measured, analyzed and controlled by "Atmosphere" arrays of sensors:
- UV activity
Control units need an on-site weather prediction to optimize heating response time and avoid a large variety of issues connected to the HVAC system regulation such as excessive fuel usage.
"Atmosphere" weather sensors would be installed on the building itself and different distances from it. This is the way system would receive localized data specifically for each boiler room. After all the analyzes of the data from internal and external sources, control units would receive localized predictions instead of the wide-area forecast. This information would be available in different accustomed forms of representation for employees so that they could decide on the proper HVAC system regulation in advance. The system would also give recommendations based on the prediction to achieve high energy efficiency.
Software to make boiler rooms more energy efficient and make control systems more automized by adding neural networks into this process.
Software is currently under development.