9791221502893_102.pdf

To evaluate the energy and solar potential of the building stock and address feasibility studies of building retrofit interventions information standards are required to ensure proper data flow from building and urban models to simulation environments. Energy performance data are gathered from diffe...

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Γλώσσα:English
Έκδοση: Firenze University Press 2024
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0289-3_102
id oapen-20.500.12657-89143
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spelling oapen-20.500.12657-891432024-04-03T02:24:06Z Chapter Solar Potential and Energy Assessment Data in U-BEM Models: Interoperability Analysis Between Performance Simulation Tools and OpenBIM/GIS Platforms Donatiello, Maria Grazia Rossi, Federico ZANCHETTA, CARLO Giorio, Martina Paparella, Rossana Energy potential Solar potential IFC BIM U-BEM thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization To evaluate the energy and solar potential of the building stock and address feasibility studies of building retrofit interventions information standards are required to ensure proper data flow from building and urban models to simulation environments. Energy performance data are gathered from different information containers and therefore the result of simulations needs to be shared in BIM/GIS environments to better address energy policies and decision-making processes. Solar potential and energy retrofit estimation, developed by means of urban models (U-BEM) are too rough to support a decision-making process, even if at a feasibility stage. On the opposite, strategic decisions are defined with reference to large building stocks that require a U-BEM approach. To increase the reliability of this kind of simulations the study proposes to integrate U-BEMS with BIM-based data that are aggregated and published at urban scale as average performance indicators of built systems. The interoperability problem is analyzed both for simulation tools that need to manage this kind of data and openBIM/GIS platforms that need to share performance indicators and simulation results 2024-04-02T15:47:49Z 2024-04-02T15:47:49Z 2023 chapter ONIX_20240402_9791221502893_112 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89143 eng Proceedings e report application/pdf n/a 9791221502893_102.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_102 Firenze University Press 10.36253/979-12-215-0289-3.102 10.36253/979-12-215-0289-3.102 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 12 Florence open access
institution OAPEN
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language English
description To evaluate the energy and solar potential of the building stock and address feasibility studies of building retrofit interventions information standards are required to ensure proper data flow from building and urban models to simulation environments. Energy performance data are gathered from different information containers and therefore the result of simulations needs to be shared in BIM/GIS environments to better address energy policies and decision-making processes. Solar potential and energy retrofit estimation, developed by means of urban models (U-BEM) are too rough to support a decision-making process, even if at a feasibility stage. On the opposite, strategic decisions are defined with reference to large building stocks that require a U-BEM approach. To increase the reliability of this kind of simulations the study proposes to integrate U-BEMS with BIM-based data that are aggregated and published at urban scale as average performance indicators of built systems. The interoperability problem is analyzed both for simulation tools that need to manage this kind of data and openBIM/GIS platforms that need to share performance indicators and simulation results
title 9791221502893_102.pdf
spellingShingle 9791221502893_102.pdf
title_short 9791221502893_102.pdf
title_full 9791221502893_102.pdf
title_fullStr 9791221502893_102.pdf
title_full_unstemmed 9791221502893_102.pdf
title_sort 9791221502893_102.pdf
publisher Firenze University Press
publishDate 2024
url https://books.fupress.com/doi/capitoli/979-12-215-0289-3_102
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