Abstract
Abstract. As the world continues in the quest to fight global warming and environmental pollution by gradually moving to renewable sources of energy, there is also a need to reduce building energy consumption by refurbishing old and historic buildings to meet the required energy standards. While this approach may differ from city to city across the globe, the refurbishment of old and historic buildings would make a significant impact. That is why it is necessary to educate building owners or occupants by simulating the existing energy consumption and proposing appropriate refurbishment strategies. Because the accuracy of energy simulation is directly proportional to the amount of data available and its reliability, there is a need to find creative ways of supplying incomplete or missing building information. The present paper describes a concept that enables individual building occupants or owners to provide this missing information. Implemented and tested with the 3D city model of Aachen, the proof-of-concept enables individual building owners or occupants to perform energy simulations based on energy information supplied.
Highlights
With energy end-use responsible for a large percentage of its energy demand, Germany has been paying close attention to the building sector as the statistics shows that more than 60 percent of the heat demand in the building sector is spent on space heating (Eurostat, 2020)
Because default values a set for all the building information, users are allowed to do the energy simulation while providing energy related data needed for the simulation and at the end save the energy data provided for the simulation
This paper demonstrates the use of crowdsourcing in collecting missing building information in the energy demand simulation context
Summary
With energy end-use responsible for a large percentage of its energy demand, Germany has been paying close attention to the building sector as the statistics shows that more than 60 percent of the heat demand in the building sector is spent on space heating (Eurostat, 2020). With these concerns in mind, initiatives have been established to support the refurbishment of old and historical buildings to be energy efficient. This paper aims to describe a crowdsourcing concept that facilitates the collection of missing or incorrect building information that is necessary for performing a more accurate energy demand simulation directly from the building occupants or owners
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