Tuesday, 28 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 has assembled 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 Improving Urban Building Energy Models (UBEM) through Building Archetype Calibration
Significant research effort is developing urban building energy modeling (UBEM) tools, which allow evaluating city-wide energy demand and supply strategies. In order to characterize simulation data inputs for buildings, these are typically grouped into representative “archetypes” which simplify models and impact accuracy. The work presented addresses the current state of the UBEM field and presents the application for the City of Boston of an automated simulation workflow based on available GIS datasets. Then, a probabilistic calibration model for archetypes is proposed and validated for yearly and monthly energy use in districts in Kuwait and Cambridge.
2 Urban-Scale Energy Analyses of the Built Environment
The use of transient computer simulations for quantifying energy use of individual buildings is now standard in both research and industry. However, their use has been computationally prohibitive at the larger scales of districts and cities. We present a new simulation platform that offers a spatially differentiated, hourly analysis of energy consumed by the built environment. The City of Westminster, within central London, was chosen for the first pilot application due to diversity of building types and high-energy demand. This seminar highlights the challenges associated with its development, as well how it supports the assessment of energy systems in cities.