Using Measured Building Energy Data to Infer Building Type for Urban Building Energy Modeling
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Bass, Brett↗
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Utility-scale Building Type Assignment Using Smart Meter Data
United States building energy use accounted for 40% of total energy use, 74% of peak demand, and $412 billion in 2019. Building energy modeling allows researchers to simulate building physics, gain insights into possible energy/demand saving opportunities, and assess cost-effective resilience amidst climate change. Many building features needed to create building energy models are readily available such as 2D footprints and LiDAR (height). A critical feature that is not generally obtainable is the building type. In partnership with a utility, a years worth of real-world, 15-minute electrical use data has been examined. The smart meter data is compared to 97 different prototype building energy models to assign building type. Real-world considerations including data preparation, quality assurance, and handling of missing values for advanced metering infrastructure data are addressed. Euclidean distance for pattern-matching of energy use, dynamic time warping, and time-window statistics with machine learning are compared for determining building type from measured electricity use.
Bass, Brett↗
Initial comparisons of modular-sized, integrated utility systems and conventional systems for several building types
The results of a study of the application of a modular integrated utility system to six typical building types are compared with the application of a conventional utility system to the same facilities. The effects of varying the size and climatic location of the buildings and the size of the powerplants are presented. Construction details of the six building types (garden apartments, a high rise office building, high rise apartments, a shopping center, a high school, and a hospital) and typical site and floor plans are provided. The environmental effects, the unit size determination, and the market potential are discussed. The cost effectiveness of the various design options is not considered.
Benson, H. E.↗
Machine learning for determining building type
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Chowdhury, Shovan↗
Household Energy Burden in Beacon Hill, Seattle, WA [Slides]
This technical assistance is part of the Communities Local Energy Action Program (CLEAP) for the Beacon Hill, Seattle, Washington community coalition consisting of El Centro de la Raza, Beacon Hill Council and Bethany United Church of Christ with supportive partners, Seattle City Light and the Seattle Office of Sustainability and Environment. This report uses the Low-Income Energy Affordability Data (LEAD) Tool to identify the most energy burdened households by income group, building type, building age and fuel type.
29 ENERGY PLANNING, POLICY, AND ECONOMY↗
Understanding Commercial Building Energy Use in Des Moines, Cedar Rapids, and Sioux Falls: Building Stock Segmentation for Retrofit Planning
This report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Understanding Commercial Building Energy Use in the Greater Little Rock Area: Building Stock Segmentation for Retrofit Planning
This report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Understanding Commercial Building Energy Use in Northwestern PA, Ashtabulam, and Chautauqua Counties: Building Stock Segmentation for Retrofit Planning
This report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Understanding Commercial Building Energy Use in the Evansville and Shawnee National Forest Area: Building Stock Segmentation for Retrofit Planning
This report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Understanding Commercial Building Energy Use in the Rural Eastern Climate Zone 5A Area: Building Stock Segmentation for Retrofit Planning
This report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Understanding Commercial Building Energy Use in Las Vegas: Building Stock Segmentation for Retrofit Planning
This report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Understanding Commercial Building Energy Use in Eau Claire, La Crosse, Rochester, and Wausau: Building Stock Segmentation for Retrofit Planning
This report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Understanding Commercial Building Energy Use in Boise-Twin Falls: Building Stock Segmentation for Retrofit Planning
This report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Understanding Commercial Building Energy Use in the Rochester-Buffalo and Erie, PA, Area: Building Stock Segmentation for Retrofit Planning
TThis report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Understanding Commercial Building Energy Use in Rural Southern Michigan and the Toledo Area: Building Stock Segmentation for Retrofit Planning
This report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Understanding Commercial Building Energy Use in the Rural Lower Midwest and High Plains: Building Stock Segmentation for Retrofit Planning
This report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Understanding Commercial Building Energy Use in the Knoxville-Chattanooga-Asheville and Greenville, SC, Area: Building Stock Segmentation for Retrofit Planning
This report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Understanding Commercial Building Energy Use in the Albuquerque-Santa Fe Area: Building Stock Segmentation for Retrofit Planning
This report is part of the second phase of a publication series focusing on approximately 100 different local geographies, or "clusters." Each report provides characteristic features and energy data for commercial buildings in a specific area to help policy makers at the city, county, and state level better understand building energy use and emissions. This report breaks down the energy consumption and emissions of the building stock in the counties shown in Figure 2 by building type, building size, end use, energy consumption, emissions, and segment.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗