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A Next Generation Platform for Building Energy Modeling Based on Smart Metering Data, Point Cloud Scans, GIS and Building Typology

Irmler, Robert and Eller, Christian and Rüppel, Uwe (2016):
A Next Generation Platform for Building Energy Modeling Based on Smart Metering Data, Point Cloud Scans, GIS and Building Typology.
In: Proceedings of the 23rd International Workshop of the European Group for Intelligent Computing in Engineering, In: 23rd EG-ICE International Workshop, Kraków, Poland, 29. June - 01. July 2016, [Conference or Workshop Item]

Abstract

About 28% of German total final energy consumption is caused solely by the residential sector. In order to reduce this amount, energy simulations can give insights into how retrofits and modifications can influence a buildings energy performance. Due to the complexity of such simulations and their underlying models this is a task which is usually performed by experts. To make residential energy simulations accessible to a wider audience this paper proposes a concept for developing a holistic building simulation model based on a minimum of user inputs. The concept bases on the combination of different information sources like geodetic data sets, building and material typologies and indoor point cloud scans. In addition, smart metering data is used to adjust archetypal assumptions. This paper gives an overview of the different parts of the proposed framework and discusses first results.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Irmler, Robert and Eller, Christian and Rüppel, Uwe
Title: A Next Generation Platform for Building Energy Modeling Based on Smart Metering Data, Point Cloud Scans, GIS and Building Typology
Language: English
Abstract:

About 28% of German total final energy consumption is caused solely by the residential sector. In order to reduce this amount, energy simulations can give insights into how retrofits and modifications can influence a buildings energy performance. Due to the complexity of such simulations and their underlying models this is a task which is usually performed by experts. To make residential energy simulations accessible to a wider audience this paper proposes a concept for developing a holistic building simulation model based on a minimum of user inputs. The concept bases on the combination of different information sources like geodetic data sets, building and material typologies and indoor point cloud scans. In addition, smart metering data is used to adjust archetypal assumptions. This paper gives an overview of the different parts of the proposed framework and discusses first results.

Title of Book: Proceedings of the 23rd International Workshop of the European Group for Intelligent Computing in Engineering
Uncontrolled Keywords: Automated Model Generation, Building Energy Modeling, Building Typology, Calibration, Smart Metering
Divisions: 13 Department of Civil and Environmental Engineering Sciences > Institute of Numerical Methods and Informatics in Civil Engineering
13 Department of Civil and Environmental Engineering Sciences
Event Title: 23rd EG-ICE International Workshop
Event Location: Kraków, Poland
Event Dates: 29. June - 01. July 2016
Date Deposited: 29 Aug 2016 10:45
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