Applying the building energy simulation test (BESTEST) diagnostic method to verification of space conditioning equipment models used in whole-building energy simulation programs

被引:71
|
作者
Neymark, J [1 ]
Judkoff, R [1 ]
Knabe, G [1 ]
Le, HT [1 ]
Dürig, M [1 ]
Glass, A [1 ]
Zweifel, G [1 ]
机构
[1] J Neymark & Associates, Golden, CO 80401 USA
关键词
BESTEST; building energy; simulation programs; HVAC; air conditioning; model validation; model verification;
D O I
10.1016/S0378-7788(02)00072-5
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Validation of building energy simulation programs consists of a combination of empirical validation, analytical verification, and comparative analysis techniques. An analytical verification and comparative diagnostic procedure was developed to test the ability of whole-building simulation programs to model the performance of unitary space-cooling equipment that is typically modeled using manufacturer design data presented as empirically derived performance maps. This procedure is based on the International Energy Agency (IEA) building energy simulation test (BESTEST) diagnostic method and systematically tests whole-building energy simulation software by comparing results from such software to analytical solutions that were developed for the test cases. Field trials of the new procedure were conducted by researchers from nations participating in the IEA Solar Heating and Cooling (SHC) Programme Task 22, using a number of detailed hourly simulation programs from Europe and the US, including: CA-SIS, CLIM2000, ENERGYPLUS, PROMETHEUS, TRNSYSTUD, and two versions of DOE-2.1E. This article also includes discussion about simulation validation methodologies. Crown Copyright (C) 2002 Published by Elsevier Science B.V. All rights reserved.
引用
收藏
页码:917 / 931
页数:15
相关论文
共 41 条
  • [11] Differential time scale solutions for dynamic boundary conditions within whole-building energy simulation
    Bourgeois, Denis
    Reinhart, Christoph F.
    BUILDING SIMULATION 2007, VOLS 1-3, PROCEEDINGS, 2007, : 1354 - +
  • [12] Assessment of the Impact of Using a Smart Thermostat and Smart Meter Data on a Whole-Building Energy Simulation
    Oh, Sukjoon
    Baltazar, Juan-Carlos
    Haberl, Jeff S.
    SUSTAINABILITY, 2022, 14 (10)
  • [13] Whole-building energy simulation analysis and optimization of residential building equipped with air-duct system in three different regions
    Zarmehr, Arash
    Kider, Joseph T., Jr.
    PROCEEDINGS OF BUILDING SIMULATION 2021: 17TH CONFERENCE OF IBPSA, 2022, 17 : 2963 - 2970
  • [14] Passive cooling of buildings with phase change materials using whole-building energy simulation tools: A review
    Saffari, Mohammad
    de Gracia, Alvaro
    Ushak, Svetlana
    Cabeza, Luisa F.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 80 : 1239 - 1255
  • [15] Energy and CO2 emissions performance assessment of residential micro-cogeneration systems with dynamic whole-building simulation programs
    Dorer, Viktor
    Weber, Andreas
    ENERGY CONVERSION AND MANAGEMENT, 2009, 50 (03) : 648 - 657
  • [16] Reduction of computation time in building energy performance simulation programs by applying tearing techniques
    Foncubierta Blazquez, Juan Luis
    Rodriguez Maestre, Ismael
    Gonzalez Gallero, Francisco Javier
    Mena Balades, J. Daniel
    ENERGY AND BUILDINGS, 2016, 130 : 667 - 675
  • [17] A decoupled whole-building simulation engine for rapid exhaustive search of low-carbon and low-energy building refurbishment options
    Rysanek, A. M.
    Choudhary, R.
    BUILDING AND ENVIRONMENT, 2012, 50 : 21 - 33
  • [18] A review of the development of airflow models used in building load calculation and energy simulation
    Yu, Yao
    Megri, Ahmed Cherif
    Jiang, Shuang
    BUILDING SIMULATION, 2019, 12 (03) : 347 - 363
  • [19] Diagnostic test cases for verifying surface heat transfer algorithms and boundary conditions in building energy simulation programs
    Tabares-Velasco, Paulo Cesar
    Griffith, Brent
    JOURNAL OF BUILDING PERFORMANCE SIMULATION, 2012, 5 (05) : 329 - 346
  • [20] A review of the development of airflow models used in building load calculation and energy simulation
    Yao Yu
    Ahmed Cherif Megri
    Shuang Jiang
    Building Simulation, 2019, 12 : 347 - 363