Therefore, in order to have confidence in the predictions of the whole-building energy models, it is necessary to have a thorough understanding of various features, specific capabilities, and disadvantages of BPS tools. Research has shown that different limitations apply to almost every building performance simulation (BPS) software available today. In this regard, one of the most discussed issues in the academic and industrial community is the energy performance gap, which often occurs due to the uncertainty and absence of reliable and accurate modeling input data. thermal characteristics of building envelope elements, internal temperatures, heating patterns, etc.). However, these models work at a disaggregated level and thus need extensive databases composed of quantitative data on physically measurable variables (e.g. As a result, detailed whole building energy models are seen as useful tools for decision making and energy code compliance. Building energy modeling is a robust technique that can enable testing, analyzing, and optimizing different innovate building solutions and technologies.
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