Data-Driven Workflow Framework for Façade Retrofit Processes based on Circular Economy Principles

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DOI:

https://doi.org/10.47982/jfde.2026.354

Published

2026-07-12

How to Cite

Data-Driven Workflow Framework for Façade Retrofit Processes based on Circular Economy Principles. (2026). Journal of Facade Design and Engineering, 14(1), 63-86. https://doi.org/10.47982/jfde.2026.354
Submitted: Sep 22, 2025
Accepted: May 13, 2026
Published: Jul 12, 2026

Keywords:

Façade retrofit, material database, workflow management, digital services, information management, façade configurator

Abstract

Over 85% of Europe’s existing building stock fails to meet current energy-efficiency standards, underscoring the urgent need for large-scale retrofits. In line with EU climate objectives to accelerate the renovation wave and reduce embodied carbon emissions, façade retrofit offers significant potential to lower operational energy and resource demand, aligning with Circular Economy (CE) principles. However, the implementation of CE strategies is limited by fragmented practices, insufficiently documented product data, and the lack of standardised integration within design workflows.

This research presents a framework that embeds CE-relevant Key Performance Indicators (KPIs) as guidelines for product selection, data structuring, and environmental performance evaluation. The framework links a Material Database (MDB) for structured product data management with a Façade Configurator (FC) as a digital, simulation-based design support tool. The MDB aligns with EU data requirements and extends the Digital Product Passport (DPP) concept by capturing detailed circularity-related information. Environmental impact criteria include Global Warming Potential (GWP), Primary Energy Demand from Non-Renewable Resources (PENRE), Recycling Content (RC), and the use of Renewable Resources (RR). Applied to real-world façade retrofit case studies, the proposed framework enhances early-phase environmental assessment and supports informed, circular design decisions.

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