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Modeling, Monitoring, and Validating Green Roof and Green Facade Solutions with Semantic City Models Using Low Cost Sensors and Open Software Infrastructures

Vo, Trang Thuy ; Nichersu, Alexandru ; Wendel, Jochen (2024)
Modeling, Monitoring, and Validating Green Roof and Green Facade Solutions with Semantic City Models Using Low Cost Sensors and Open Software Infrastructures.
In: Urban Science, 2019, 3 (2)
doi: 10.26083/tuprints-00016829
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Modeling, Monitoring, and Validating Green Roof and Green Facade Solutions with Semantic City Models Using Low Cost Sensors and Open Software Infrastructures
Language: English
Date: 16 January 2024
Place of Publication: Darmstadt
Year of primary publication: 2019
Place of primary publication: Basel
Publisher: MDPI
Journal or Publication Title: Urban Science
Volume of the journal: 3
Issue Number: 2
Collation: 20 Seiten
DOI: 10.26083/tuprints-00016829
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

The usage of greenery systems as nature-based solutions to assist in urban cooling in summer time as well as urban warming in wintertime is considered a scientific validated approach in urban planning. The objective of this research is the investigation and quantification of the role of green roofs and green facade solutions concerning thermal behavior in buildings energy savings by using standardized semantic city models that allow the quantification of such measures on district and city scales. The implemented model uses standardized geospatial data based on the CityGML format, a semantic city model standard, for analysis and data storage. For storage of the thermal properties of the buildings, the behavior of its occupants as well as the sensor measurements the Energy ADE of the CityGML standard was used. A green roof/façades model was implemented to simulate the heat transfer in a building based on the heat balance principle of foliage, soil, and structural layers. This model allows analyzing the thermal influence of plant and substrate layers on the heat gains from incoming solar radiation into buildings and the heat losses. This implementation was validated for cooling solutions using monitoring data from real-time experiments during summer measurements at three locations in Germany. Results from this experiment correspond well with the findings of other relevant studies. A sensitivity analysis was conducted to test the impacts of climate, substrate and plants on the greenery layer performance.

Uncontrolled Keywords: green roofs, green facades, nature-based solutions, CityGML, energy Application Domain Extensions (ADE), low-cost sensors, open source webserver, sensitivity analysis
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-168290
Classification DDC: 500 Science and mathematics > 550 Earth sciences and geology
600 Technology, medicine, applied sciences > 690 Building and construction
700 Arts and recreation > 710 Landscaping and area planning
Divisions: 11 Department of Materials and Earth Sciences > Earth Science
Date Deposited: 16 Jan 2024 10:16
Last Modified: 27 Mar 2024 09:18
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/16829
PPN: 516547305
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