# Solution Validation for a Double Façade Prototype

^{1}

^{2}

^{*}

## Abstract

**:**

## 1. Introduction

- This validation must be done once the simulation project is finished and once the implementation of the results obtained from the model are applied to the system. This implies that the contractor believes in the model, and now we are going to perform a new validation.
- The complexity to analyze the modified system in this ambit (environmental area).

## 2. The Model

^{2}·K (30 cm thick rock wool); on the one hand, the resulting reference data (the data used to perform the comparison between the different simulations) do not increase significantly and, on the other hand, we prepare the virtual design with materials and their real properties.

^{3}/h·m

^{2}.

## 3. Implementing the Results in the System

#### 3.1. Prototype Sensors

#### 3.2. Data Acquisition

^{2}). The indoor conditions that can be analyzed and studied are (i) temperature (°C); (ii) HR (%); (iii) Illumination (lux); (iv) CO

_{2}(ppm); (v) Consumption (W) and (vi) Radiation (W/m

^{2}).

## 4. Solution Validation

#### 4.1. Visual Inspection of the Data

#### 4.2. Statistical Analysis of the Solution

#### 4.2.1. Radiation

- Wilcoxon signed rank test
- data: Data.for.the.paper.by.day$Radiation_model and Data.for.the.paper.by.day$Radiation_system.
- V = 326, p-value = 0.2539
- Alternative hypothesis: true location shift is not equal to 0

- Wilcoxon signed rank test with continuity correction
- data: Data.for.the.paper$Radiation_model and Data.for.the.paper$Radiation_system
- V = 49500.5, p-value = 0.292
- Alternative hypothesis: true location shift is not equal to 0

#### 4.2.2. External Temperature

- Wilcoxon signed rank test
- data: Data.for.the.paper.by.day$Temperature_model and Data.for.the.paper.by.day$Temperature_system
- V = 52, p-value = 1.802 × 10
^{−5} - alternative hypothesis: true location shift is not equal to 0

- Wilcoxon signed rank test
- data:Data.for.the.paper.by.day$Temperature_model_log and Data.for.the.paper.by.day$Temperature_system_log
- V = 51, p-value = 1.603 × 10
^{−}^{5} - alternative hypothesis: true location shift is not equal to 0

- Wilcoxon signed rank test
- data: Data.for.the.paper.by.day$Temperature_model_m[x] and Data.for.the.paper.by.day$Temperature_system[x]
- V = 190, p-value = 0.7265
- alternative hypothesis: true location shift is not equal to 0

#### 4.2.3. Ambient Temperature

- Wilcoxon signed rank test
- data: Data.for.the.paper.by.day$Ambient_model_m[x] and Data.for.the.paper.by.day$Ambient_system[x]
- V = 182, p-value = 0.8809
- alternative hypothesis: true location shift is not equal to 0

#### 4.3. Granger Causality

- Granger causality test
- Model 1:
- Data.for.the.paper.by.day$Ambient_system[x] ~Lags(Data.for.the.paper.by.day$Ambient_system[x], 1:1) + Lags(Data.for.the.paper.by.day$Ambient_model_m[x], 1:1)
- Model 2:
- Data.for.the.paper.by.day$Ambient_system[x] ~Lags(Data.for.the.paper.by.day$Ambient_system[x], 1:1)
- Res.Df Df F Pr(>F)
- 1 22
- 2 23 −1 2.9019 0.1026

- Granger causality test
- Model 1:
- Data.for.the.paper.by.day$Ambient_model_m[x] ~Lags(Data.for.the.paper.by.day$Ambient_model_m[x], 1:1)+Lags(Data.for.the.paper.by.day$Ambient_system[x], 1:1)
- Model 2:
- Data.for.the.paper.by.day$Ambient_model_m[x] ~Lags(Data.for.the.paper.by.day$Ambient_model_m[x], 1:1)
- Res.Df Df F Pr(>F)
- 1 22
- 2 23 −1 0.204 0.6559

- Robust Gamma Rank Correlation:
- data: Data.for.the.paper.by.day$Ambient_system [x] and Data.for.the.paper.by.day$Ambient_model_m [x] (length = 26)
- similarity: linear
- rx = 0.2537676/ry = 0.2722265
- t-norm: min
- alternative hypothesis: true gamma is not equal to 0
- sample gamma = −0.03597242
- estimated p-value = 0.824 (824 of 1000 values)

## 5. Discussion

## 6. Concluding Remarks

## Acknowledgments

## Author Contributions

## Conflicts of Interest

## Nomenclature

Accreditation | The process in which certification of competency or credibility for the simulation model is presented. |

CFD | Computational Fluid Dynamics. |

JSEED | Japan-Spain Energy Efficient Development for Ultra-Low Energy Buildings |

Validation | The process to assure that a model is correct. |

Verification | The process to assure that a model is correctly implemented. |

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**Figure 1.**Simulation VV cycle [10].

**Figure 2.**System diagram of the SDL model. The complete model can be reviewed in [36]; the figure only presents the first level of the SDL model that depicts the main blocks that interact in the model (the environment, the building, the compensation elements and the waste treatment systems).

**Figure 3.**Example of numerical results of the energy consumption depending on the building orientation obtained directly from the model output.

**Figure 5.**Sensor system. The SECCIÓN CAMARA (section or the room 1, on the left and 2, on the right) shows the section of the two rooms with the location of the sensor systems, i.e., red dots.

**Figure 6.**Distribution of the anemometers. The SECCIÓN CAMARA (section or room 1, on the left and 2, on the right) shows the section of the two rooms with the location of the anemometers, i.e., green dots.

**Figure 7.**General schema of the installation in the Seville building. One can see the first roof (1A) and the second floor (2A), and the different installations used to control the building.

**Figure 8.**System monitoring via the web. On top, the access screen is shown, which allows us to select the first or the second prototype. Once a prototype is selected, one can select the different measurements (temperature, radiation, etc.). On the bottom right is the monitoring distribution for the two floors. (

**a**) Acces screen; (

**b**) External conditions; (

**c**) First floor; (

**d**) Second floor.

**Figure 13.**Plot between System and Model time series for the exterior temperature, (

**a**) depicts the relation between the system and the model temperatures, (

**b**) the data with a logarithmic transformation.

**Table 1.**Reference for the comfort data [33].

Offices | Temp. (°C) | % HR |

Summer Inside | 26 | 45–60 |

Winter Inside | 21 | 40–50 |

Dwellings | Temp. (°C) | % HR |

Summer Inside | 25 | 50 |

Winter Inside | 21 | 50 |

**Table 2.**Glass materials used in the simulation models. Source [35].

Name Glass Material | Concept | Solar Transmission (SHGC) | U (W/m^{2}·K) | Direct Solar Transmission | Light Transmission |
---|---|---|---|---|---|

FachTe_Glass_FV—SHGC 0.1, Light transmision 0.1, U 1.1 | photovoltaic plate Schott | 0.1 | 1.1 | -- | 0.1 |

FachTe_Glass_6-8-6 | double glass | 0.5 | 3 | 0.373 | 0.5 |

FachTe_Glass_3-8-3 | normal glass | 0.828 | 3.087 | 0.813 | 0.839 |

FachTe_Glass_10-12-10 | low-e glass | 0.559 | 1.89 | 0.418 | 0.71 |

FachTe_Glass_6-13-6 | solar control glass 6 + 12 + 6 | 0.168 | 1.672 | 0.087 | 0.114 |

FachTe_Glass_6 | simple glass | 0.819 | 5.718 | 0.775 | 0.881 |

Description | Materials (from Outside to Inside) | Thickness (cm) |
---|---|---|

Exterior | (sheet metal + camera air + battens) + insulation + pre-stressed wooden panel | 0.3 + 5 + 8 + 10 |

Interior | Insulation + wood panel + finish | 8 + 1.5 + 1.5 |

Ceiling | Sheet + camera air + insulation + waterproof sheet + panel wood freestanding | 0.5 + 5 + 20 + 0.3 + 10 |

Door | Access for service space | -- |

Foundation | Wood base + wood leveling screed | variable |

© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

## Share and Cite

**MDPI and ACS Style**

Fonseca i Casas, P.; Fonseca i Casas, A.; Garrido-Soriano, N.; Godoy, A.; Pujols, W.-C.; Garcia, J. Solution Validation for a Double Façade Prototype. *Energies* **2017**, *10*, 2013.
https://doi.org/10.3390/en10122013

**AMA Style**

Fonseca i Casas P, Fonseca i Casas A, Garrido-Soriano N, Godoy A, Pujols W-C, Garcia J. Solution Validation for a Double Façade Prototype. *Energies*. 2017; 10(12):2013.
https://doi.org/10.3390/en10122013

**Chicago/Turabian Style**

Fonseca i Casas, Pau, Antoni Fonseca i Casas, Nuria Garrido-Soriano, Alfonso Godoy, Wendys-Carolina Pujols, and Jesus Garcia. 2017. "Solution Validation for a Double Façade Prototype" *Energies* 10, no. 12: 2013.
https://doi.org/10.3390/en10122013