Co-simulation for performance prediction of innovative integrated mechanical energy systems in buildings

OPERATIONAL VALIDATION VERIFICATION CONCEPTUAL MODEL VALIDATION Fig. 6.1 — Modeling abstraction in the simulation process. tual model validation can be also phrased as [DMSO 2004] confirming that the capabilities indicated in the conceptual model embody all the capabilities necessary to meet the requirements of simulation. Verification (or transformational accuracy [Balci 2004]) is defined [Sargent 2005] as ensuring that the computer programming and implementation of the conceptual model is correct. Operational validity is defined [Sargent 2005] as determining that the model’s output behavior has sufficient accuracy for the model’s intended purpose over the domain of the model’s intended applicability. However, any deficiencies found may be due to an inadequate conceptual model, errors in the computer program and its implementation, or they may be caused by the data. Other terms, such as accuracy or fidelity [Gross 1999; Nayak and Joskowicz 1996; Rickel and Porter 1997; Falkenhainer and Forbus 1991] are often used in place of validity. However, as stated by [Zeigler et al. 2000] fidelity has a slightly different meaning as it refers to a combination of validity and detail, while accuracy is considered to be an aspect of validity/fidelity. Precision is also an aspect of validity/fidelity. So, high fidelity corresponds to both high validity and high detail. However, most of the authors do not make such distinction between these terms. A simulation model should be developed for a specific purpose (or application) and its validity determined with respect to that purpose. Thus the model is valid if the accuracy of variables of interest is within the acceptable range, which is required for the model’s intended purpose.

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