2 datasets found
  1. Data from: ResStock: Annual Baseline Results with Component Loads

    • datasets.ai
    • data.openei.org
    • +4more
    0, 21, 8
    Updated Aug 27, 2024
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    Department of Energy (2024). ResStock: Annual Baseline Results with Component Loads [Dataset]. https://datasets.ai/datasets/resstock-annual-baseline-results-with-component-loads
    Explore at:
    21, 0, 8Available download formats
    Dataset updated
    Aug 27, 2024
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Authors
    Department of Energy
    Description

    The ResStock Analysis Tool was developed by NREL with support from the U.S. Department of Energy to provide a new approach to large-scale residential analysis by combining large public and private data sources, statistical sampling, detailed sub hourly building simulations, and high-performance computing. This combination achieves unprecedented granularity and accuracy in modeling the diversity of the housing stock and the distributional impacts of building technologies in different communities.

    The annual baseline energy results from a national-scale ResStock run use typical meteorological year 3 (TMY3) files for energy simulations. Results include heating and cooling loads for individual components of each building. Component loads describe the heating/cooling load that can be attributed to specific elements of a home, such as heat transfer through walls or internal gains. Additionally, these results include the standard ResStock outputs for housing characteristics and numerous energy outputs by end-use and fuel.

    A snapshot of the ResStock version used to produce this data, including a configuration file for the run can be found using the Source Code resource link.

  2. g

    ResStock: Annual Baseline Results with Component Loads | gimi9.com

    • gimi9.com
    Updated May 29, 2022
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    (2022). ResStock: Annual Baseline Results with Component Loads | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_resstock-annual-baseline-results-with-component-loads
    Explore at:
    Dataset updated
    May 29, 2022
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The ResStock Analysis Tool was developed by NREL with support from the U.S. Department of Energy to provide a new approach to large-scale residential analysis by combining large public and private data sources, statistical sampling, detailed sub hourly building simulations, and high-performance computing. This combination achieves unprecedented granularity and accuracy in modeling the diversity of the housing stock and the distributional impacts of building technologies in different communities. The annual baseline energy results from a national-scale ResStock run use typical meteorological year 3 (TMY3) files for energy simulations. Results include heating and cooling loads for individual components of each building. Component loads describe the heating/cooling load that can be attributed to specific elements of a home, such as heat transfer through walls or internal gains. Additionally, these results include the standard ResStock outputs for housing characteristics and numerous energy outputs by end-use and fuel. A snapshot of the ResStock version used to produce this data, including a configuration file for the run can be found using the Source Code resource link.

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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Department of Energy (2024). ResStock: Annual Baseline Results with Component Loads [Dataset]. https://datasets.ai/datasets/resstock-annual-baseline-results-with-component-loads
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Data from: ResStock: Annual Baseline Results with Component Loads

Related Article
Explore at:
21, 0, 8Available download formats
Dataset updated
Aug 27, 2024
Dataset provided by
United States Department of Energyhttp://energy.gov/
Authors
Department of Energy
Description

The ResStock Analysis Tool was developed by NREL with support from the U.S. Department of Energy to provide a new approach to large-scale residential analysis by combining large public and private data sources, statistical sampling, detailed sub hourly building simulations, and high-performance computing. This combination achieves unprecedented granularity and accuracy in modeling the diversity of the housing stock and the distributional impacts of building technologies in different communities.

The annual baseline energy results from a national-scale ResStock run use typical meteorological year 3 (TMY3) files for energy simulations. Results include heating and cooling loads for individual components of each building. Component loads describe the heating/cooling load that can be attributed to specific elements of a home, such as heat transfer through walls or internal gains. Additionally, these results include the standard ResStock outputs for housing characteristics and numerous energy outputs by end-use and fuel.

A snapshot of the ResStock version used to produce this data, including a configuration file for the run can be found using the Source Code resource link.

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