Solution Validation for a Double Façade Prototype

Abstract

A Solution Validation involves comparing the data obtained from the system that are implemented following the model recommendations, as well as the model results. This paper presents a Solution Validation that has been performed with the aim of certifying that a set of computer-optimized designs, for a double façade, are consistent with reality. To validate the results obtained through simulation models, based on dynamic thermal calculation and using Computational Fluid Dynamic techniques, a comparison with the data obtained by monitoring a real implemented prototype has been carried out. The new validated model can be used to describe the system thermal behavior in different climatic zones without having to build a new prototype. The good performance of the proposed double façade solution is confirmed since the validation assures there is a considerable energy saving, preserving and even improving interior comfort. This work shows all the processes in the Solution Validation depicting some of the problems we faced and represents an example of this kind of validation that often is not considered in a simulation project.

Comparative Analysis of Infrared Thermography and CFD Modelling for Assessing the Thermal Performance of Buildings

“…Thus, Capeluto and Ochoa carried out modelling of a facade concluding that this construction element consumes between 20% and 30% of energy demanded by a building [10]. That is why other authors used the system of double facade to improve energy efficiency [11], carrying out modellings in project phase in order to obtain the expected result compared to real data obtained with prototypes built to scale. In this way, it is possible to validate studied energy solution for its application in other climatic zones [12].…”

A Continuous Process for Validation, Verification, and Accreditation of Simulation Models

“…However, in the frame of cyber-physical systems (in Industry 4.0), this validation becomes a key element since the Digital Twin must accurately represent the current system, which is prone to change. This solution validation traditionally has been used to test if the model can also be used as a product, often to test the behavior of the system in other scenarios, see [47,48]; in the context of Industry 4.0 is a continuous process to ensure that the simulation model is yet valid. The nature of techniques one can use in the Solution Validation process and the assumptions that are going to be involved are similar to the ones used in the Operational Validation process.…”