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

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...

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Main Authors: Trang Thuy Vo, Alexandru Nichersu, Jochen Wendel
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Urban Science
Subjects:
Online Access:https://www.mdpi.com/2413-8851/3/2/39
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spelling doaj-32cb88b96bb74df38e18a37fcce45d022020-11-24T22:30:00ZengMDPI AGUrban Science2413-88512019-03-01323910.3390/urbansci3020039urbansci3020039Modeling, Monitoring, and Validating Green Roof and Green Facade Solutions with Semantic City Models Using Low Cost Sensors and Open Software InfrastructuresTrang Thuy Vo0Alexandru Nichersu1Jochen Wendel2Technische Universität Darmstadt, Institute of Applied Geosciences, 64287 Darmstadt, GermanyEuropean Institute for Energy Research (EIFER), 76131 Karlsruhe, GermanyEuropean Institute for Energy Research (EIFER), 76131 Karlsruhe, GermanyThe 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.https://www.mdpi.com/2413-8851/3/2/39green roofsgreen facadesnature-based solutionsCityGMLenergy Application Domain Extensions (ADE)low-cost sensorsopen source webserversensitivity analysis
collection DOAJ
language English
format Article
sources DOAJ
author Trang Thuy Vo
Alexandru Nichersu
Jochen Wendel
spellingShingle Trang Thuy Vo
Alexandru Nichersu
Jochen Wendel
Modeling, Monitoring, and Validating Green Roof and Green Facade Solutions with Semantic City Models Using Low Cost Sensors and Open Software Infrastructures
Urban Science
green roofs
green facades
nature-based solutions
CityGML
energy Application Domain Extensions (ADE)
low-cost sensors
open source webserver
sensitivity analysis
author_facet Trang Thuy Vo
Alexandru Nichersu
Jochen Wendel
author_sort Trang Thuy Vo
title Modeling, Monitoring, and Validating Green Roof and Green Facade Solutions with Semantic City Models Using Low Cost Sensors and Open Software Infrastructures
title_short Modeling, Monitoring, and Validating Green Roof and Green Facade Solutions with Semantic City Models Using Low Cost Sensors and Open Software Infrastructures
title_full Modeling, Monitoring, and Validating Green Roof and Green Facade Solutions with Semantic City Models Using Low Cost Sensors and Open Software Infrastructures
title_fullStr Modeling, Monitoring, and Validating Green Roof and Green Facade Solutions with Semantic City Models Using Low Cost Sensors and Open Software Infrastructures
title_full_unstemmed Modeling, Monitoring, and Validating Green Roof and Green Facade Solutions with Semantic City Models Using Low Cost Sensors and Open Software Infrastructures
title_sort modeling, monitoring, and validating green roof and green facade solutions with semantic city models using low cost sensors and open software infrastructures
publisher MDPI AG
series Urban Science
issn 2413-8851
publishDate 2019-03-01
description 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.
topic green roofs
green facades
nature-based solutions
CityGML
energy Application Domain Extensions (ADE)
low-cost sensors
open source webserver
sensitivity analysis
url https://www.mdpi.com/2413-8851/3/2/39
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