Phase 2 (2024): API features are in the works. Phase 1 (2023): Prototyping completed.
Relevant Publications
Kim, Hye Gi, Seung Eon Lee, and Deuk Woo Kim. 2024. “Impact of Calendarization on Change-Point Models.” Energy and Buildings 303 (January): 113803. doi:10.1016/j.enbuild.2023.113803.
김혜기, 김덕우, 이승언, 김선숙. (2022). 건축물 에너지 사용 청구기간 조정에 따른 Change Point Linear Model 비교. 대한건축학회 학술발표대회 논문집, 42(2), 467-468
Field Data Collection System (Previous name: K-BOSS, Korea-Building Occupants Survey System)
Info.
Establishing a systematic collection and management system for building energy performance surveys and diagnostic information
Phase 1 (2018.5~2019.12), Conceptualization, Design of Online Platform for Occupant Satisfaction with Indoor Environment Quality and Development of Visualization System based on Three-dimensional Spatial Information
Relevant Publications
Lee J-W, Kim D-W, Lee S-E, Jeong J-W. Indoor Environmental Quality Survey in Research Institute: A Floor-by-Floor Analysis. Sustainability. 2021; 13(24):14067. https://doi.org/10.3390/su132414067
Lee, J.-W.; Kim, D.-W.; Lee, S.-E.; Jeong, J.-W. Development of a Building Occupant Survey System with 3D Spatial Information. Sustainability2020, 12, 9943.
Jongwon Lee, Deuk-Woo Kim (2019). Design of Online Platform and Visualization System based on Three-Dimensional Spatial Information for Occupant Satisfaction with Indoor Environment Quality, 10th int. Conference on Indoor Air Quality, Ventilation and Energy Conservation in buildings, 5-7 September 2019, Bari, Italy
Building Energy Benchmarking
Info.
Performance Indicators design :
Cumulative frequency distributions of four performance indicators were developed for public buildings: (1) heating, (2) cooling, (3) base-load, and (4) total usage
Four performance indicators were added : (1) heating slope, (2) cooling slope, (3) heating change point, (4) cooling change point
Building use categories design :
Temporary categories for energy use benchmarking : Web URL
Status
Phase 2 (2021~2026) : Establishing baselines of performance indicators. (Prototype: Web URL )
Phase 1 (2015~2020)
Relevant Publications
Kim HG, Lee SE, Kim D-W, (2024). Impact of calendarization on change-point models, Energy and Buildings.Volume 303, 113803
Kim D-W, Ahn K-U, Shin H, Lee S-E. Simplified Weather-Related Building Energy Disaggregation and Change-Point Regression: Heating and Cooling Energy Use Perspective. Buildings. 2022; 12(10):1717. https://doi.org/10.3390/buildings12101717
Ahn KU, Kim D-W, Lee S-E, Chae C-U, Cho HM. Temporal Segmentation for the Estimation and Benchmarking of Heating and Cooling Energy in Commercial Buildings in Seoul, South Korea. Sustainability. 2022; 14(17):11095. https://doi.org/10.3390/su141711095
Kim, D.W., Kim, Y.M., Lee, S.E. (2019). Development of an energy benchmarking database based on cost-effective energy performance indicators: Case study on public buildings in South Korea, Energy and Buildings. Vol.191, pp.104-116
Building Stock Energy Modeling (Previous name: Urban Building Energy Modeling)
Info.
The original title was entitled "Reference Building Energy Models For South Korea" (~ 2017)
Status
Phase 2 (2022~2026) : Development of automated Individual building energy modeling tool based on open building footprints and building registry datasets
Phase 1 (2017~2021) : Framework design for building stock modeling with Bayesian calibration
Relevant Publications
이동혁, 김덕우. (2023). 건물의 음영 지표 개발을 위한 지리정보시스템 및 도시규모 EnergyPlus 시뮬레이션 기반 데이터 프레임워크 구축 . 한국건축친환경설비학회 추계학술발표대회, 193-194. (2023-11)
김덕우; 안기언; 이승언; 이동혁 (2022). 건물 외부 표면 도달 일사량 DB 구축 프레임워크 개발, 대한설비공학회 2022년도 하계학술발표대회 (2022-06)
Joe J, Min S, Oh S, Jung B, Kim YM, Kim DW, Lee SE, Yi DH. Development of Simplified Building Energy Prediction Model to Support Policymaking in South Korea—Case Study for Office Buildings. Sustainability. 2022; 14(10):6000. https://doi.org/10.3390/su14106000
이동혁, 고윤담, 유영서, 조형곤, 김덕우, 박철수. (2020). 지리정보시스템 기반 EnergyPlus parser 개발 . 추계학술발표대회, 81-82.
Deuk Woo Kim, Yu Min Kim, Dong-Hyuk Yi, Cheol Soo Park, Seung Eon Lee (2019), Modelling Of Non-Residential Building Stocks Based On End-Use Energy Consumption And Bayesian Calibration, Proceedings of the 16th IBPSA Conference (International Building Performance Simulation Association), Sep.2-4, Rome, Italy
Deuk Woo Kim, Yu Min Kim, Sang Hoon Lee, Won Young Park, Young Jin Bok, Sung Kyun Ha, Seung Eon Lee (2017), Development of Reference Building Energy Models for South Korea, Proceedings of the 15th IBPSA Conference (International Building Performance Simulation Association), August 7-9, San francisco, USA
MATLAB Toolbox for ASHRAE Linear, Change-Point Linear Inverse Modeling
Info.
Language : MATLAB with optimization toolbox
Features : (1) constrained optimization, (2) automated best-fitted model selection, (3) Visualization
Phase 1 (2019~2021) : Peacewise linear regression and automated model selection
Relevant Publications
Kim D-W, Ahn K-U, Shin H, Lee S-E. Simplified Weather-Related Building Energy Disaggregation and Change-Point Regression: Heating and Cooling Energy Use Perspective. Buildings. 2022; 12(10):1717. https://doi.org/10.3390/buildings12101717
김덕우;안기언;이승언;김혜기;신혜리 (2022). 월별 냉난방 소비량 추정 비교: 경험 기반 vs. 에너지 시그니쳐 기반, 대한건축학회 학술발표대회 논문집, Vol.42 No.2 (2022-10)
김혜기;김덕우;이승언;김선숙 (2022). 건축물 에너지 사용 청구기간 조정에 따른 Change Point Linear Model 비교, 대한건축학회 학술발표대회 논문집, Vol.42 No.2 (2022-10)
Simplified Greenhouse Gas Equivalencies Calculator
Info.
Offline version of greenhouse gas equivalencies calculator