Digital Transformation of Simulation Process to Support Decision-Making on Green Remodeling

초록

In this study, we propose a model that supports green remodeling decision-making through the digital transformation of the simulation process. Energy performance improvement measures are defined through a rule-based filter, which saves computation time and resources in the automation process. The derived combinations of improvement plans are written into a simulation file through an automated process to gain improvement plan options as an outcome, which fit the goal and budget for saving energy. In this study, model tests were performed at the sites where the green remodeling project was implemented. Computing time required for each case study building was approximately 40 min, and various efficient improvement methods were derived compared to the existing ones through experts. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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