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• W4318777799 endingPage "2567" @default.
• W4318777799 startingPage "2567" @default.
• W4318777799 abstract "The trend towards high-performance residential buildings with new building regulations necessitates fundamental changes in the residential market, which is currently driven by low initial investment costs and dominated by weak innovative cycles. This change involves a difficult decision-making process that must consider the multiple and generally conflicting objectives regarding optimal retrofitting for residential buildings. This study aimed to develop an approach that would provide feedback about a building’s energy and economic performance in relation to the decision-making process to ensure that the complex residence retrofitting process is more efficient. For this purpose, a performance-oriented decision support workflow is recommended for a typical multifamily apartment block within a hypothetical settlement context in Istanbul Province, which includes (i) an automated parametric energy simulation through the coupling of EnergyPlus and MATLAB® to determine differences between retrofit alternatives in relation to the building envelope, energy systems and renewable energy systems, and (ii) a multiple-criteria decision analysis to determine the retrofit alternatives by which the optimal performance can be achieved, taking into account the conflicting nature of key performance indicators (primary energy saving and life-cycle cost saving). Architects and residence owners—who are the main decision makers—can use this proposed workflow to explore effective retrofit alternatives and to make informed decisions about performance-based retrofitting by comparing the energy and economic performance of these alternatives." @default.
• W4318777799 created "2023-02-02" @default.
• W4318777799 creator A5083140807 @default.
• W4318777799 date "2023-01-31" @default.
• W4318777799 modified "2023-09-25" @default.
• W4318777799 title "A Performance-Based Decision Support Workflow for Retrofitting Residential Buildings" @default.
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• W4318777799 doi "https://doi.org/10.3390/su15032567" @default.
• W4318777799 hasPublicationYear "2023" @default.
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