A5007326118- Building Energy and Comfort Optimization
- Wind and Air Flow Studies
- BIM and Construction Integration
- Noise Effects and Management
- Nuclear reactor physics and engineering
- Architecture and Computational Design
- Climate variability and models
- Fusion materials and technologies
- Nuclear Materials and Properties
- Sustainable Building Design and Assessment
- Hydrology and Watershed Management Studies
- Hydrological Forecasting Using AI
- Meteorological Phenomena and Simulations
University of Tennessee at Knoxville
2021-2025
Oak Ridge National Laboratory
2023-2024
Office of Scientific and Technical Information
2024
Exploring climate-induced impacts on building energy consumption can provide valuable insights for sustainable planning and environmental management in the face of a changing climate. By utilizing future weather data statistically downscaled from Intergovernmental Panel Climate Change (IPCC) General Circulation Models (GCMs) 2020-2100, this paper presents broadening industry-consensus approach generating Typical Meteorological Year (fTMY) files through combination statistical downscaling...
Urban-scale building energy modeling (UBEM) holds promise for optimizing usage across extensive geographic regions. However, there is a recognized bias between simulated consumption and actual measured data. This study, based on data from Chicago, delved into correction techniques enhancing the accuracy of UBEM estimates. Initially, AutoBEM simulation yielded normalized mean error (NMBE) 1.1% 51% Coefficient Variation Root Mean Square Error (CVRMSE) after outlier exclusion. To address this,...