Wednesday, 29 June 2016: 9:45 AM-10:45 AM
Smart Building Systems/Remote Monitoring and Diagnostics
Chair:
Joshua New, Ph.D., Oak Ridge National Laboratory
Technical Committee: 01.05 Computer Applications
Development of urban-scale building energy models is becoming of increased interest for many applications including city-wide energy supply/demand strategies, urban development planning, electrical grid stability and urban resilience. This seminar assembles several leaders in the field of urban-scale energy models to discuss an overview of the field as well as the data, algorithms, workflow and practical challenges addressed to create useful models of individual buildings at the scale of a city.
1 Integration of Reduced Order Energy Model with Geographical Information for Urban-Scale Building Energy Modelling under Urban Context
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Jason Brown, School of Architecture, Georgia Institute of Technology |
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Qi Li, School of Architecture, Georgia Institute of Technology |
This study demonstrates a newly proposed methodology that handles building energy modeling at urban scale using a reduced-order energy calculation engine with geographical information system (GIS). GIS provides general building information that either directly serves as model parameters, or links to the specific prototype building models for more detailed building and system specifications. Actual urban environment was considered by quantifying the micro environment boundary conditions in terms of mutual shading and urban heat island (UHI) effect through urban morphology. A case study of Manhattan, New York was presented to demonstrate the process. The calculation result and future extensions were discussed.
2 Urban Microclimate for Building Energy Models
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Melissa Allen, Ph.D., Oak Ridge National Laboratory |
In anticipation of both climate change and global urbanization, we conduct research of microclimate impacts on energy systems. We analyze and quantify the relationships among modeled and measured climatic conditions, urban morphology, land cover and energy use; and use these relationships to inform energy-efficient urban development and planning. We apply: neighborhood resolution modeling and simulation of urban micrometeorological processes; projections informed by microclimate for future energy use under different urbanization and climate change scenarios; to produce analysis and visualization tools to help planners optimally use these projections to identify best strategies for energy-efficient urban morphological development.
3 Techniques for Rapid Generation of Urban-Scale Energy Models
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David Scheer, Autodesk |
City governments, NGOs, portfolio managers, and owners are looking better ways to reduce energy use in their existing building stock. Traditional methods rely on costly and time consuming audits, or on benchmarking tools with limited ability to identify retrofit measures. A more effective approach utilizes urban scale 3D models to perform virtual energy assessments. This workflow relies on building a 3D model from multiple types of GIS data, annual hourly energy simulations, geospatial analysis techniques, and statistical benchmarking. The following presentation outlines this workflow, and provides a case study for reducing the time and money needed to identify retrofit strategies.