Development of a software tool for the recommendation of individualized indoor climate settings using weather forecast data

In order to save energy, ergonomic indoor climate control adapted to people's personal preferences is a good way. For this purpose, weather forecast data can be used, personal climate control data from the past, preferences and simulation evaluation data can be included and evaluated. A room model will be developed and simulated that evaluates such data and suggests individualized room climate control. For example, indoor and outdoor temperature data, radiation and humidity data will be correlated for analysis, weather forecast data will be evaluated with the goal of planning and drawing conclusions about room ventilation, shading and room shading for the future as well.

The work is part of the research activities at the Energy Meteorology Laboratory.

Master student

Thorben Benthe