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SWBE011 High Efficiency Window, Residential#102

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SWBE011 High Efficiency Window, Residential#102
wsjsxn wants to merge 11 commits intosound-data:mainfrom
wsjsxn:SWBE011

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@wsjsxn wsjsxn commented Mar 12, 2025

SWBE011 High Efficiency Windows, Residential
Energy Modeler: Alamelu Brooks
Postprocessing: Alamelu Brooks

This measure is the installation of high-efficiency windows with reduced thermal conductance and improved radiant emissivity. The measure applies to residential buildings (SFM, MFM and DMO) under new construction and retrofit applications..

SWBE011-01 Resi Windows ModelOutputFiles.zip
SWBE011-01 Resi Windows ModelInputFiles.zip

Pull Request (PR) Description

NOTE: SUBMIT A PLAN TO DEER SUPPORT PRIOR TO WORKING ON CODE FOR A MEASURE, FEATURE, OR BUG TO BE CONNECTED WITH OTHERS WORKING ON THE SAME ISSUE OR TO RECEIVE FEEDBACK ON YOUR PROPOSED METHOD

DEER Support Email: DeerSupport@dnv.com

PR Author

  • Make sure the PR branch is up to date with main branch at the time of the PR submission
  • Craft a succinct title that effectively encapsulates the essence of the pull request, providing a general overview of the proposed changes.
  • Label the PR with at least one of the following: New Measure, Bug, or Feature.
  • Provide a concise description of the measure, bug, or feature. Submit one PR per measure.
  • For a new measure, attach a workbook named DEER_EnergyPlus_Modelkit_Measure_list_working.xlsx, containing only rows used for post-processing the measure.
  • Add comments in the code when necessary to facilitate the review process.
  • Add a comment before the added code, including the author's full name, company, and specifying if it's a bug fix, new measure, or feature.
  • For a new feature or bug, demonstrate the impact on energy consumption for selected cases with justification using plots and descriptions.
  • For a new measure, add a summary table showing total energy consumption per simulated case.

PR Reviewer

  • Conduct a thorough code review.
  • If the branch is behind the main, merge the branch locally to check for potential conflicts.
  • If a bug, locally reproduce it and compare energy consumptions before and after.
  • Explore creative ways to stress-test the code.
  • Locally check the error file and other outputs.

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