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Scientific Article details

Title RenoDSS-A BIM-based building renovation decision support system
ID_Doc 64082
Authors Fenz, S; Giannakis, G; Bergmayr, J; Iousef, S
Title RenoDSS-A BIM-based building renovation decision support system
Year 2023
Published
DOI 10.1016/j.enbuild.2023.112999
Abstract Increasing the building renovation rate is a key initiative to drive energy efficiency in the sector and con-tribute to the European Green Deal. Within this paper, the BIM-based building renovation decision sup-port system RenoDSS is described. RenoDSS (i) automatically generates renovation scenarios based on user preferences and the IFC representation (including second level space boundaries data) of the current building configuration (baseline), (ii) calculates baseline and renovation scenario KPIs, and (iii) identifies the most suitable scenarios by comparing the scenarios' energy, finance, and sustainability KPIs. Validation conducted at two pilot sites shows that RenoDSS reduces the time for (i) identifying potential renovation scenarios, (ii) calculating their energy and LCA/LCC KPIs, and (iii) producing an IFC file for each renovation scenario by around 80% compared to tool-supported manual means. RenoDSS is used by (i) renovation designers that want to optimize the thermal building hull in combination with PV, solar ther-mal, and HVAC, as well as (ii) decision makers who want to collaboratively identify the most promising renovation option out of the ones generated by RenoDSS. (c) 2023 Elsevier B.V. All rights reserved.
Author Keywords Building renovation planning; Decision support system; Energy efficiency; Building information modeling
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000967689600001
WoS Category Construction & Building Technology; Energy & Fuels; Engineering, Civil
Research Area Construction & Building Technology; Energy & Fuels; Engineering
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