Desarrollo de modelos matemáticos y análisis de sensibilidad para el estudio energético de edificaciones

Presentamos un análisis de la sensibilidad de los resultados de simulaciones numéricas basadas en Building Information Modeling (BIM), a las variaciones en los valores de los parámetros humanos subjetivos (SHP) definidos en la norma ISO 7730, como vestimenta o actividad. Nuestro análisis muestra que los pequeños cambios en los SHP pueden producir oscilaciones significativas en los resultados de los cálculos numéricos, que, en nuestro caso, se realizaron con el software TRNSYS. Para verificar la validez de nuestro enfoque, hemos implementado un código Monte Carlo, para analizar los efectos principales de las diferentes variables de forma sistemática.Presentem una anàlisi de la sensibilitat dels resultats de simulacions numèriques basades en Building Information Modeling (BIM) , a les variacions en els valors dels paràmetres humans subjectius (SHP) definits en la norma ISO 7730, com a vestimenta o activitat. La nostra anàlisi mostra que els xicotets canvis en els SHP poden produir oscil·lacions significatives en els resultats dels càlculs numèrics, que, en el nostre cas, es van realitzar amb el programari TRNSYS. Per a verificar la validesa del nostre enfocament, hem implementat un codi Monte Carlo, per a analitzar els efectes principals de les diferents variables de forma sistemàtica.We present an analysis of the sensitivity of the results of Building Information Modeling (BIM)-based numerical simulations, to variations in the values of subjective human parameters (SHPs) defined in the ISO standard 7730, like clothing or activity. Our analysis shows that slight changes on SHPs may yield significant oscillations on the results of the numerical calculations, which in our case were made with TRSYS software. To check the validity of our approach, we have implemented a Monte Carlo code, to analyze the main effects of the different variables in a systematic way.Robledo Fava, R. (2018). Desarrollo de modelos matemáticos y análisis de sensibilidad para el estudio energético de edificaciones [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/114795TESI

Analysis of the Influence Subjective Human Parameters in the Calculation of Thermal Comfort and Energy Consumption of Buildings

[EN] In the present work, we analyze the influence of the designer's choice of values for the human metabolic index (met) and insulation by clothing (clo) that can be selected within the ISO 7730 for the calculation of the energy demand of buildings. To this aim, we first numerically modeled, using TRNSYS, two buildings in different countries and climatologies. Then, we consistently validated our simulations by predicting indoor temperatures and comparing them with measured data. After that, the energy demand of both buildings was obtained. Subsequently, the variability of the set-point temperature concerning the choice of clo and met, within limits prescribed in ISO 7730, was analyzed using a Monte Carlo method. This variability of the interior comfort conditions has been finally used in the numerical model previously validated, to calculate the changes in the energy demand of the two buildings. Therefore, this work demonstrated that the diversity of possibilities offered by ISO 7730 for the choice of clo and met results, depending on the values chosen by the designer, in significant differences in indoor comfort conditions, leading to non-negligible changes in the calculations of energy consumption, especially in the case of big buildings.This work was partially funded by grants OHMERA MAT2017-86453-R, FIS2017-83762-P and ENE2015-71333-R from MINECO (Spain). R. Robledo and M. Hernandez were supported by CONACYT grants 298503 and 296471, respectively. We also thanks to supporting given by the project number INFRA-187906 from the Mexican National Council of Science and Technology-CONACYT.Robledo-Fava, R.; Hernández-Luna, MC.; Fernández De Córdoba, P.; Michinel, H.; Zaragoza, S.; Castillo-Guzman, A.; Selvas-Aguilar, R. (2019). Analysis of the Influence Subjective Human Parameters in the Calculation of Thermal Comfort and Energy Consumption of Buildings. 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Use of statistical correlation for energy management in office premises adopting techniques of the Industry 4.0

[ES] Presentamos un análisis estadístico de las correlaciones entre la concentración de dióxido de carbono y el consumo de energía en lugares de trabajo, con el objetivo de poder ser programadas en plataformas energéticas In cloud, para la mejora de la gestión y el aumento el grado de automatización y control en la industria del sector servicios. Se usa un sistema de bajo coste para medir y transmitir los datos de los edificios y la información puede ser análizada desde cualquier dispositivo remoto. El estudio incluye datos medidos durante un año en dos oficinas situadas en Sada (A Coruña, España) y Clayton (Panamá). Presentamos curvas de regresión lineal y no lineal, mostramos que hay correlaciones positivas significativas y discutimos aspectos estacionales y relacionados con el clima. Argumentamos que este tipo de análisis puede generar información útil para el diseño y operación en la industria de servicios, a través de plataformas energéticas de control y automatización en web.[EN] We present a statistical analysis of correlations between carbon dioxide concentration and energy consumption in workplaces, with the goal of enabling its eventual programming in energy platforms In Cloud for improving management and enhancing automation and control in the service sector industry. A low-cost system is used to measure and transmit the data of buildings and the information can be analyzed by any remote device. The study includes data measured during one year in two offices located at Sada (A Coruna, Spain) and Clayton (Panama). We present linear and nonlinear regression curves, show that there are significant positive correlations and discuss seasonal and climate-related aspects. We argue that this kind of analysis can provide useful information for the design and operation in the service industry, through web-based energy platforms for control and automation.The authors acknowledge Fridama Instalaciones, S.L. for granting access to data for the present study and the EQUS energy platform for the data management software. This work was partially supported by grants FIS2014-58117-P, ENE2015-71333-R, MAT2017-86453-R and FIS2017-83762-P from Ministerio de Economia y Competitividad (Spain) and grant GPC2015/019 from Conselleria de Cultura, Educacion e Ordenacion Universitaria (Xunta de Galicia, Spain). R. Robledo Fava and M.C. Hernandez Luna were supported by CONACYT grants no. 298503 and 296471, respectively.Hernandez-Luna, M.; Robledo-Fava, R.; Fernández De Córdoba, P.; Paredes, A.; Michinel Álvarez, H.; Zaragoza Fernández, S. (2018). Uso de la correlación estadística para la gestión energética en locales de oficina empleando técnicas de la industria 4.0. DYNA: Ingeniería e Industria. 93(6):602-607. https://doi.org/10.6036/8844S60260793