Abstract
The validation of a building simulation program or model is a daunting task, and one that should receive as much attention as algorithm and code development. Previous research in this field has led to a well-accepted approach composed of analytical verification, empirical validation and inter-program comparative testing to diagnose model deficiencies, mathematical solution errors and coding errors. Through a case study using a model for predicting the thermal and electrical performance of fuel cell micro-cogeneration devices, this article demonstrates the utility of the inter-program comparative testing validation construct. It shows that by comparing program-to-program results, solution problems, coding errors and deficiencies in mathematical model descriptions can be efficiently identified, diagnosed and subsequently repaired.
Original language | English |
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Pages (from-to) | 63-73 |
Journal | Journal of Building Performance Simulation |
Volume | 2 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2009 |
MoE publication type | A1 Journal article-refereed |
Keywords
- fuel-cell cogeneration
- inter-program comparative testing
- micro-cogeneration
- validation
- computerized simulation
- simulation
- simulation software