Co-simulation for performance prediction of integrated building and HVAC systems - An analysis of solution characteristics using a two-body system

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Integrated performance simulation of buildings and heating, ventilation and airconditioning (HVAC) systems can help reducing energy consumption and increasing occupant comfort. However, no single building performance simulation (BPS) tool offers suffcient capabilities and flexibilities to analyze integrated building systems and to enable rapid prototyping of innovative building and system technologies. One way to alleviate this problem is to use co-simulation to integrate different BPS tools. Co-simulation approach represents a particular case of simulation scenario where at least two simulators solve coupled differential-algebraic systems of equations and exchange data that couples these equations during the time integration. This article analyzes how ... continued below

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Trcka, Marija; L.M. Hensena, Jan & Wetter, Michael June 21, 2010.

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Integrated performance simulation of buildings and heating, ventilation and airconditioning (HVAC) systems can help reducing energy consumption and increasing occupant comfort. However, no single building performance simulation (BPS) tool offers suffcient capabilities and flexibilities to analyze integrated building systems and to enable rapid prototyping of innovative building and system technologies. One way to alleviate this problem is to use co-simulation to integrate different BPS tools. Co-simulation approach represents a particular case of simulation scenario where at least two simulators solve coupled differential-algebraic systems of equations and exchange data that couples these equations during the time integration. This article analyzes how co-simulation influences consistency, stability and accuracy of the numerical approximation to the solution. Consistency and zero-stability are studied for a general class of the problem, while a detailed consistency and absolute stability analysis is given for a simple two-body problem. Since the accuracy of the numerical approximation to the solution is reduced in co-simulation, the article concludes by discussing ways for how to improve accuracy.

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957

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  • Journal Name: Simulation Modelling Practice and Theory; Journal Volume: 18; Journal Issue: 7

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  • Report No.: LBNL-3907E
  • Grant Number: DE-AC02-05CH11231
  • DOI: 10.1016/j.simpat.2010.02.011 | External Link
  • Office of Scientific & Technical Information Report Number: 988181
  • Archival Resource Key: ark:/67531/metadc1015377

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • June 21, 2010

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  • Oct. 14, 2017, 8:36 a.m.

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  • Oct. 17, 2017, 6:04 p.m.

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Trcka, Marija; L.M. Hensena, Jan & Wetter, Michael. Co-simulation for performance prediction of integrated building and HVAC systems - An analysis of solution characteristics using a two-body system, article, June 21, 2010; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc1015377/: accessed April 26, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.