@inproceedings{74f1e1254c3a469f9c6ab7613d3521a2,
title = "Digital Transformation of Simulation Process to Support Decision-Making on Green Remodeling",
abstract = "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.",
keywords = "Building energy simulation, Digital transformation, Green remodeling",
author = "Yun, {Woo Seung} and Wontaek Ryu and Jo, {Ye Bon} and Hyuncheol Seo",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 14th International Conference on Computer Science and its Applications, CSA 2022 and the 16th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2022 ; Conference date: 19-12-2022 Through 21-12-2022",
year = "2023",
doi = "10.1007/978-981-99-1252-0_68",
language = "English",
isbn = "9789819912513",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "511--516",
editor = "Park, {Ji Su} and Yang, {Laurence T.} and Yi Pan and Yi Pan and Park, {Jong Hyuk}",
booktitle = "Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022",
address = "Germany",
}