A Digital Twin Framework for Standardized Production of Bio-Based Composites in the Circular Built Environment

The building and construction sector accounts for approximately 37% of global CO2 emissions and nearly 50% of material extraction, driving urgent demand for sustainable material alternatives. Bio-based composites derived from recycled waste and biomass offer a promising pathway toward a circular built environment, yet their production remains hampered by biomass batch variability, the absence of standardized process protocols, and sensitivity to environmental conditions. Digital twin (DT) technology, with its capacity for real-time monitoring, predictive simulation, and closed-loop optimization, has been widely applied in building operation and maintenance but has received scant attention at the material production end. This paper addresses this cross-disciplinary gap by proposing a five-layer DT conceptual framework for the standardized production of bio-based composites, developed using the Design Science Research paradigm. The framework comprises a physical layer, a data acquisition layer, a virtual model layer, a decision and control layer, and a lifecycle-circularity layer, mapped onto five production stages from raw material to recovery. An observe–simulate–decide–adjust (OSDA) closed-loop mechanism runs across all stages. A synthetic-data simulation of the OSDA closed-loop mechanism across 200 virtual production batches illustrates a 48.5% reduction in performance variability (95% CI: 42.9–53.7%) and a 99.0% reduction in the reject rate (95% CI: 96.9–100.0%) in a biochar–recycled-HDPE panel scenario; sensitivity analysis confirms robustness across a range of moisture penalty assumptions. These results are derived from a simplified regression model and constitute numerical proof-of-concept rather than empirical validation. The study contributes a structured, standards-aligned architecture that bridges digital twins and circular building materials, providing a methodological reference and conceptual justification for industry stakeholders.

Authors

Institutions

Publication Details

Journal
Buildings
Published
2026-09-13
DOI
https://doi.org/10.3390/buildings16183645
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

A Digital Twin Framework for Standardized Production of Bio-Based Composites in the Circular Built Environment

C. H. Li, Linzhi Ding
Buildings
Sustainable Supply Chain Management
article

A Digital Twin Framework for Standardized Production of Bio-Based Composites in the Circular Built Environment

C. H. Li, Linzhi Ding
article en

Abstract

The building and construction sector accounts for approximately 37% of global CO2 emissions and nearly 50% of material extraction, driving urgent demand for sustainable material alternatives. Bio-based composites derived from recycled waste and biomass offer a promising pathway toward a circular built environment, yet their production remains hampered by biomass batch variability, the absence of standardized process protocols, and sensitivity to environmental conditions. Digital twin (DT) technology, with its capacity for real-time monitoring, predictive simulation, and closed-loop optimization, has been widely applied in building operation and maintenance but has received scant attention at the material production end. This paper addresses this cross-disciplinary gap by proposing a five-layer DT conceptual framework for the standardized production of bio-based composites, developed using the Design Science Research paradigm. The framework comprises a physical layer, a data acquisition layer, a virtual model layer, a decision and control layer, and a lifecycle-circularity layer, mapped onto five production stages from raw material to recovery. An observe–simulate–decide–adjust (OSDA) closed-loop mechanism runs across all stages. A synthetic-data simulation of the OSDA closed-loop mechanism across 200 virtual production batches illustrates a 48.5% reduction in performance variability (95% CI: 42.9–53.7%) and a 99.0% reduction in the reject rate (95% CI: 96.9–100.0%) in a biochar–recycled-HDPE panel scenario; sensitivity analysis confirms robustness across a range of moisture penalty assumptions. These results are derived from a simplified regression model and constitute numerical proof-of-concept rather than empirical validation. The study contributes a structured, standards-aligned architecture that bridges digital twins and circular building materials, providing a methodological reference and conceptual justification for industry stakeholders.

BuildingsVol. 16(18)
Hong Kong Metropolitan University (HK)
Openalex Percentile: Top 7%
Sustainable Supply Chain Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Digital Twin Framework for Standardized Production of Bio-Based Composites in the Circular Built Environment — C. H. Li, Linzhi Ding · Buildings (2026) | TGRS Research Map | TGRS