Light intake differs from one window to another due to the position of the sun, surrounding structures, architecture, and local weather conditions. A limited number of hardware sensors only approximate the shading pattern in a building. Leaftech's virtual sensors capture the actual progression throughout the day.
Leaftech sets up a digital twin of the building and its surroundings to monitor shading progression on each window. A grid of virtual sensors is positioned on every modeled window. The virtual sensor calculates the actual shading pattern for every minute throughout the day.
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Embedding all influence factors such as building specification, weather patterns, and user schedules, we create a thermal model of the room and constantly forecast its energy balance.
Based on the energy balance heating, cooling, and ventilation demand for the next hours is quantified and forwarded to the building system via API. The data service enables your building systems to make better decisions and anticipate future operating conditions.
Enabling our algorithms to learn from indoor conditions leads to even better results. Sharing room temperature, humidity, and other parameters empower the digital twin to learn about room conditions and to increase the forecast precision.
Forecasting the intake of solar radiation is one of the most important factors when applying model-based control as it has a tremendous influence on the heating, cooling, and illuminance demands inside the buildings.
Using shading as a service and combining it with a Single room energy forecast you get the best control for all systems and make the most of the forecast data.
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our single room forecast technology
Based on our digital twin and measured energy consumption we create building specific forecast models which quantify the heating, cooling and electricity demand of the complete facility.
Using machine learning we constantly train our algorithms to enhance the forecast accuracy. Whether it is heating or cooling grid, the information is extremely valuable for utility providers.
Embedding our service leads to better planning of energy supply for the grid operator as well as increased feasibility in energy procurement for the building owner.
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Based on our digital twin and local weather conditions we assess
the energy balance of buildings and give detailed reports of the
current building characteristics. This data can be used while
planning a new building, modernizing an existing one or estimating
the saving potential.
To take into account local weather phenomena for the cause of several years, this services has been built around Test Reference Year data coming from the Deutsche Wetter Dienst.
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The surrounding conditions do not only influence local solar
radiation but are extremely relevant for wind patterns as well.
Therefore, we combine our detailed 3D models and our cutting-edge
virtual sensors with CFD-technologies.
In first implementation projects we currently assess the potential to improve the reaction of shading systems in regard to local wind speeds.
Find out more about our wind profile analysis technology.Request more information