Solution Validation for a Double Façade Prototype

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 facade, 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 facade 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.

[1]  Osman Balci.  Golden Rules of Verification, Validation, Testing, and Certification of Modeling and Simulation Applications , 2010 .

[2]  Reimund P. Rötter,et al.  Analysis and classification of data sets for calibration and validation of agro-ecosystem models , 2015, Environ. Model. Softw..

[3]  Eduard Egusquiza,et al.  Thermal Performance of Ventilated Double Skin Façades with Venetian Blinds , 2015 .

[4]  José Fortes Lopes,et al.  Validation of a water quality model for the Ria de Aveiro lagoon, Portugal , 2008, Environ. Model. Softw..

[5]  Lisa Guan,et al.  Comparison of different solar-assisted air conditioning systems for Australian office buildings , 2017 .

[6]  Jaume Salom,et al.  Understanding net zero energy buildings: Evaluation of load matching and grid interaction indicators , 2011 .

[7]  Ala Hasan,et al.  A genetic algorithm for optimization of building envelope and HVAC system parameters , 2009 .

[8]  Pau Fonseca i Casas,et al.  Formal simulation model to optimize building sustainability , 2014, Adv. Eng. Softw..

[9]  Tao Zhang,et al.  A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center , 2016, Comput. Oper. Res..

[10]  D. Stern,et al.  Evidence for human influence on climate from hemispheric temperature relations , 1997, Nature.

[11]  Jesus Maria Blanco,et al.  Investigating the thermal behavior of double-skin perforated sheet façades: Part A: Model characterization and validation procedure , 2014 .

[12]  Jack P. C. Kleijnen,et al.  EUROPEAN JOURNAL OF OPERATIONAL , 1992 .

[13]  Jaume Salom,et al.  Comfort and economic criteria for selecting passive measures for the energy refurbishment of residential buildings in Catalonia , 2016 .

[14]  Changping Liu,et al.  Simulating air distribution and occupants' thermal comfort of three ventilation schemes for subway platform , 2017 .

[15]  Frank Klawonn,et al.  Testing noisy numerical data for monotonic association , 2013, Inf. Sci..

[16]  Francesca Pianosi,et al.  Global Sensitivity Analysis of environmental models: Convergence and validation , 2016, Environ. Model. Softw..

[17]  Stewart Robinson,et al.  Independent Verification and Validation of an Industrial Simulation Model , 2010, Simul..

[18]  Pau Fonseca i Casas,et al.  Cost-effective analysis for selecting energy efficiency measures for refurbishment of residential buildings in Catalonia , 2016 .

[19]  Kuo-Hao Chang,et al.  A decision support system for planning and coordination of hybrid renewable energy systems , 2014, Decis. Support Syst..

[20]  F. Wilcoxon,et al.  Individual comparisons of grouped data by ranking methods. , 1946, Journal of economic entomology.

[21]  Stewart Robinson,et al.  Simulation verification, validation and confidence: a tutorial , 1999 .

[22]  El Miloudi El Koursi,et al.  European railway traffic management system validation using UML/Petri nets modelling strategy , 2010 .

[23]  Karsten Voss,et al.  Net zero energy buildings: A consistent definition framework , 2012 .

[24]  Baris Tan,et al.  Optimal selection of energy efficiency measures for energy sustainability of existing buildings , 2016, Comput. Oper. Res..

[25]  Robert G. Sargent,et al.  An interval statistical procedure for use in validation of simulation models , 2015, J. Simulation.

[26]  Yongyang Cai,et al.  Model Uncertainty and Energy Technology Policy: The Example of Induced Technical Change , 2014, Comput. Oper. Res..

[27]  Julia Armesto,et al.  Multidisciplinary Energy Assessment of Tertiary Buildings: Automated Geomatic Inspection, Building Information Modeling Reconstruction and Building Performance Simulation , 2017 .

[28]  C. Granger.  Investigating causal relations by econometric models and cross-spectral methods , 1969 .

[29]  Jia Feng-jun.  Specification and Description Language(SDL) and Its Applications to Development of TD-PRS Mobile Terminals , 2003 .

[30]  Pau Fonseca i Casas.  SDL distributed simulator , 2008, 2008 Winter Simulation Conference.

[31]  Osman Balci.  Verification, validation, and certification of modeling and simulation applications , 2003, Proceedings of the 2003 Winter Simulation Conference, 2003..

[32]  Michele Rosano,et al.  A decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: An Australian case study , 2014, Decis. Support Syst..

[33]  Julio Lumbreras,et al.  Advancements in the design and validation of an air pollution integrated assessment model for Spain , 2014, Environ. Model. Softw..