Building Energy Simulation Test for Existing Homes (BESTEST-EX); Phase 1 Test Procedure: Building Thermal Fabric Cases

Judkoff, R.; Polly, Ben; Bianchi, Marcus; Neymark, J

doi:10.2172/988600

Cited by 6 publications

(20 citation statements)

References 7 publications

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“…• B-EX-Calibration-BaseCase-Utility-Data.xls: Electronic version of utility energy consumption data for use with the calibration test cases, presented in Judkoff et al (2010a), Section 1.3.1.2.…”

Section: The Following Files Provided Within B-ex-phase-1-ref-c-resumentioning

confidence: 99%

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Building Energy Simulation Test for Existing Homes (BESTEST-EX): Instructions for Implementing the Test Procedure, Calibration Test Reference Results, and Example Acceptance-Range Criteria

Judkoff¹,

Polly²,

Bianchi³

et al. 2011

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(NREL) provided managerial support. Nick Long of NREL provided assistance with automating reference simulations. Paul Norton formerly of NREL (now a private consultant) provided initial organizational and management support during project startup. We appreciate the support and guidance of David Lee and Chris Early of the U.S. Department of Energy (DOE), and former DOE personnel (recently retired) including

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Section: The Following Files Provided Within B-ex-phase-1-ref-c-resumentioning

confidence: 99%

“…The example acceptance criteria presented in Judkoff et al (2010b) are applied to the physics and calibration tests results. Use BESTEST-EX-Phase-1-Output.xls (Judkoff et al 2010a) to enter simulation results for the program being tested.…”

Section: The Following Files Provided Within B-ex-phase-1-ref-c-resumentioning

confidence: 99%

Building Energy Simulation Test for Existing Homes (BESTEST-EX): Instructions for Implementing the Test Procedure, Calibration Test Reference Results, and Example Acceptance-Range Criteria

Judkoff¹,

Polly²,

Bianchi³

et al. 2011

View full text Add to dashboard Cite

show abstract

“…For the "-C" cases, explicit inputs are randomly selected within the approximate input ranges to generate utility bills using the reference simulation programs; tested software tools are allowed to apply calibration given the reference utility billing data and approximate input ranges (selected explicit inputs used for the reference simulations remain hidden to allow for blind testing). Because the "-C" cases apply approximate input ranges (known uncertainty) for selected inputs, and because some base-case scenarios (see Judkoff et al 2010, Section 1.3.1.2) can have randomly selected reference explicit inputs that are more difficult to estimate from calibration than others, the acceptance criteria for the "-C" cases should be less strict than that for the "-P" cases. Therefore, the following example acceptance criteria are provided:…”

Section: Bestest-ex Acceptance Criteria Overviewmentioning

confidence: 99%

“…This document provides an example procedure for establishing acceptance-range criteria to assess results from software undergoing BESTEST-EX (Judkoff et al 2010). This example method for BESTEST-EX is a modified version of the method described in HERS BESTEST (Judkoff and Neymark 1995).…”

Section: Introductionmentioning

confidence: 99%