Weather Data for Buildings Energy Simulations

Merket, Noel

doi:10.7799/1603006

Title: Weather Data for Buildings Energy Simulations

Dataset
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Abstract

This is weather data required for use in building energy simulations, including ResStock and OpenStudio-HPXML workflows.

Authors:

Publication Date:: Tue Feb 18 00:00:00 EST 2020

Other Number(s):: 128

DOE Contract Number:: FY20 AOP 1.5.1.16

Research Org.:: National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

Collaborations:: National Renewable Energy Laboratory

Subject:: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION

Keywords:: NREL; energy; data; weather; buildings

Geolocation:: 49.2637,-63.3677375|24.5873,-63.3677375|24.5873,-125.4514|49.2637,-125.4514|49.2637,-63.3677375

OSTI Identifier:: 1603006

DOI:: https://doi.org/10.7799/1603006

Project Location:

Citation Formats


                    Merket, Noel. Weather Data for Buildings Energy Simulations.  United States: N. p., 2020. 
        Web.  doi:10.7799/1603006.

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                    Merket, Noel. Weather Data for Buildings Energy Simulations.  United States.  doi:https://doi.org/10.7799/1603006

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                    Merket, Noel. 2020.  
"Weather Data for Buildings Energy Simulations".  United States.  doi:https://doi.org/10.7799/1603006.  https://www.osti.gov/servlets/purl/1603006. Pub date:Tue Feb 18 00:00:00 EST 2020

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@article{osti_1603006,

  title        = {Weather Data for Buildings Energy Simulations},

  author       = {Merket, Noel},

  abstractNote = {This is weather data required for use in building energy simulations, including ResStock and OpenStudio-HPXML workflows.},

  doi          = {10.7799/1603006},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Feb 18 00:00:00 EST 2020},

  month        = {Tue Feb 18 00:00:00 EST 2020}

}

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DOI: https://doi.org/10.7799/1603006

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