NREL Develops Diagnostic Test Cases to Improve Building Energy Simulation Programs (Fact Sheet).

NREL Develops Diagnostic Test Cases to Improve Building Energy Simulation Programs (Fact Sheet). PDF Author:
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Languages : en
Pages : 1

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This technical highlight describes NREL research to develop a set of diagnostic test cases for building energy simulations in order to achieve more accurate energy use and savings predictions. The National Renewable Energy Laboratory (NREL) Residential and Commercial Buildings research groups developed a set of diagnostic test cases for building energy simulations. Eight test cases were developed to test surface conduction heat transfer algorithms of building envelopes in building energy simulation programs. These algorithms are used to predict energy flow through external opaque surfaces such as walls, ceilings, and floors. The test cases consist of analytical and vetted numerical heat transfer solutions that have been available for decades, which increases confidence in test results. NREL researchers adapted these solutions for comparisons with building energy simulation results. Testing the new cases with EnergyPlus identified issues with the conduction finite difference (CondFD) heat transfer algorithm in versions 5 and 6. NREL researchers resolved these issues for EnergyPlus version 7. The new test cases will help users and developers of EnergyPlus and other building energy tools to identify and fix problems associated with solid conduction heat transfer algorithms of building envelopes and their boundary conditions. In the long term, improvements to software algorithms will result in more accurate energy use and savings predictions. NREL researchers plan to document the set of test cases and make them available for future consideration by validation standards such as ASHRAE Standard 140: Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs. EnergyPlus users will also have access to the improved CondFD model in version 7 after its next scheduled release.

Technical Highlight

Technical Highlight PDF Author:
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Category :
Languages : en
Pages :

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This technical highlight describes NREL research to develop a set of diagnostic test cases for building energy simulations in order to achieve more accurate energy use and savings predictions.

NREL Improves Building Energy Simulation Programs Through Diagnostic Testing (Fact Sheet).

NREL Improves Building Energy Simulation Programs Through Diagnostic Testing (Fact Sheet). PDF Author:
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Category :
Languages : en
Pages : 2

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This technical highlight describes NREL research to develop Building Energy Simulation Test for Existing Homes (BESTEST-EX) to increase the quality and accuracy of energy analysis tools for the building retrofit market. Researchers at the National Renewable Energy Laboratory (NREL) have developed a new test procedure to increase the quality and accuracy of energy analysis tools for the building retrofit market. The Building Energy Simulation Test for Existing Homes (BESTEST-EX) is a test procedure that enables software developers to evaluate the performance of their audit tools in modeling energy use and savings in existing homes when utility bills are available for model calibration. Similar to NREL's previous energy analysis tests, such as HERS BESTEST and other BESTEST suites included in ANSI/ASHRAE Standard 140, BESTEST-EX compares software simulation findings to reference results generated with state-of-the-art simulation tools such as EnergyPlus, SUNREL, and DOE-2.1E. The BESTEST-EX methodology: (1) Tests software predictions of retrofit energy savings in existing homes; (2) Ensures building physics calculations and utility bill calibration procedures perform to a minimum standard; and (3) Quantifies impacts of uncertainties in input audit data and occupant behavior. BESTEST-EX includes building physics and utility bill calibration test cases. The diagram illustrates the utility bill calibration test cases. Participants are given input ranges and synthetic utility bills. Software tools use the utility bills to calibrate key model inputs and predict energy savings for the retrofit cases. Participant energy savings predictions using calibrated models are compared to NREL predictions using state-of-the-art building energy simulation programs.

Improving Building Energy Simulation Programs Through Diagnostic Testing (Fact Sheet).

Improving Building Energy Simulation Programs Through Diagnostic Testing (Fact Sheet). PDF Author:
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Category :
Languages : en
Pages : 1

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New test procedure evaluates quality and accuracy of energy analysis tools for the residential building retrofit market. Reducing the energy use of existing homes in the United States offers significant energy-saving opportunities, which can be identified through building simulation software tools that calculate optimal packages of efficiency measures. To improve the accuracy of energy analysis for residential buildings, the National Renewable Energy Laboratory's (NREL) Buildings Research team developed the Building Energy Simulation Test for Existing Homes (BESTEST-EX), a method for diagnosing and correcting errors in building energy audit software and calibration procedures. BESTEST-EX consists of building physics and utility bill calibration test cases, which software developers can use to compare their tools simulation findings to reference results generated with state-of-the-art simulation tools. Overall, the BESTEST-EX methodology: (1) Tests software predictions of retrofit energy savings in existing homes; (2) Ensures building physics calculations and utility bill calibration procedures perform to a minimum standard; and (3) Quantifies impacts of uncertainties in input audit data and occupant behavior. BESTEST-EX is helping software developers identify and correct bugs in their software, as well as develop and test utility bill calibration procedures.

NREL in Review

NREL in Review PDF Author:
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Category : Air quality management
Languages : en
Pages : 24

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International Energy Agency Building Energy Simulation Test (BESTEST) and Diagnostic Method

International Energy Agency Building Energy Simulation Test (BESTEST) and Diagnostic Method PDF Author:
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Languages : en
Pages : 296

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This is a report on the Building Energy Simulation Test (BESTEST) project conducted by the Model Evaluation and Improvement International Energy Agency (IEA) Experts Group. The group was composed of experts from the Solar Heating and Cooling (SHC) Programme, Task 12 Subtask B, and the Energy Conservation in Buildings and Community Systems (BCS) Programme, Annex 21 Subtask C. Recognizing that the needs for model evaluation were similar in both IEA programmes, the combined Experts Group was approved by the Executive Committees in 1990. This is the first joint group organized by the respective IEA Executive Committees, and it has resulted in significant cost savings for all participating countries. The objective of this subtask has been to develop practical implementation procedures and data for an overall IEA validation methodology which has been under development by NREL since 1981, with refinements contributed by the United Kingdom. The methodology consists of a combination of empirical validation, analytical verification, and comparative analysis techniques. This report documents a comparative testing and diagnostic procedure for thermal models related to the architectural fabric of the building. Other projects (reported elsewhere) conducted by this group include work on empirical validation, analytical verification, and comparative test cases for commercial buildings. In the BESTEST project, a method was developed for systematically testing whole-building energy simulation programs and diagnosing the sources of predictive disagreement. Field trials of the method were conducted with a number of {open_quotes}reference{close_quotes} programs selected by the participants to represent the best state-of-the-art detailed simulation capability available in the United States and Europe. These included BLAST, DOE2, ESP, SERIRES, S3PAS, TASE, and TRNSYS.

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications PDF Author: M. Sengupta
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Category : Solar collectors
Languages : en
Pages : 0

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Proceedings of the ... National Passive Solar Conference

Proceedings of the ... National Passive Solar Conference PDF Author:
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Category : Solar energy
Languages : en
Pages : 402

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Annual Energy Outlook

Annual Energy Outlook PDF Author:
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Category : Energy consumption
Languages : en
Pages : 164

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The Secretary's Annual Report to Congress

The Secretary's Annual Report to Congress PDF Author: United States. Department of Energy
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Category : Energy policy
Languages : en
Pages : 1096

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