以BIM輔助室内裝修設計碳足跡評估的可視化方法

Abstract

隨著近年來建築物的能效逐步提高，相比於運營碳排，其隱含碳排逐漸受到更多的關注。室內裝修的碳排放屬於建築隱含碳排的一部分。與建築主結構的碳排放不同，室內裝修的碳排放會在建築物的生命周期內逐漸累積。因此，在設計階段進行室內裝修的碳足跡評估，有助於減少更新維護和廢棄處理階段裝修材料的碳排放，從而實現長期的可持續發展。然而，現有的BIM-LCA集成方法在進行生命周期評估時，存在耗時過長、給設計軟件帶來沉重負擔、數據互通性差等問題，且無法將評估結果反饋至設計軟件以輔助低碳室內設計。 為解決這些問題，本研究開發了一種基於BIM的碳足跡評估可視化方法，用於輔助低碳室內設計，並整合了台灣低碳建築聯盟提出的室內裝修分項工程碳足跡資料庫。研究中開發了三個插件，用於實現數據提取、整合與評估，並將結果反饋至Revit元件中進行3D可視化。本研究采用台糖沙崙智慧綠能循環住宅園區的示範屋作爲案例，將方法應用於示範屋的室内裝修碳足跡評估。結果表明，該方法能有效支持低碳室內設計決策，減少BIM和LCA數據提取與整合所需的時間，並提高BIM與LCA數據之間的互通性。

As buildings become more energy-efficient, embodied carbon has gained increasing attention. The carbon emissions of interior renovation are also included in the embodied carbon. Unlike the carbon emissions from the main structure, the carbon emissions from interior renovation accumulate over the building's lifecycle. Conducting a carbon footprint evaluation of interior renovation during the design stage is beneficial for reducing the carbon emissions of renovation materials during maintenance and disposal stages, achieving long-term sustainability. However, the existing BIM-LCA integrated approaches for life cycle assessment are time-consuming, prone to cause huge burden on design software, have poor data interoperability, and fail to transmit evaluation results back to the design software to assist low-carbon interior design. To address these problems, this study developed a BIM-based visualization of carbon footprint evaluation for assisting low carbon interior design, which integrates the carbon footprint database for interior renovation proposed by the Low Carbon Building Alliance in Taiwan. Three plugins were developed to achieve data extraction, integration, evaluation, feed back to Revit components and 3D visualization. Then the approach was applied in the demo house of the Taisugar Circular Village. The results showed that this approach efficiently supports low-carbon interior design decision-making, reduces the time required for BIM and LCA data extraction and integration, and improves interoperability between BIM and LCA data.