Code-to-Code Validation and Application of a Dynamic Simulation Tool for the Building Energy Performance Analysis

Buonomano, Annamaria

doi:10.3390/en9040301

Cited by 32 publications

(11 citation statements)

References 52 publications

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“…In order to help readers to understand the sources of errors, as well as eventual bugs to be detected and fixed, arising during the development of a BEPS tool, the author detailed the refinement iterative process carried out for minimizing the differences between the DETECt simulation results and the reference ones, suitably provided within the reliability test suite. All the results were in good agreement with those provided by the BESTEST [34].…”

Section: Contents Of the Special Issuesupporting

confidence: 87%

“…In this framework, the development and the adoption of building energy performance simulation (BEPS) tools is crucial and highly recommended for promoting the building integration of renewable energy technologies, toward the design of the next generation of buildings (e.g., NZEBs). The development and validation procedure relative to a BEPS tool, also adopted for performing innovative building-plant simulation, based on renewable technologies, is reported by Buonomano [34]. The author describes the steps of the development and validation procedure of a BEPS tool, named DETECt.…”

Section: Contents Of the Special Issuementioning

confidence: 99%

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Simulation of Polygeneration Systems

Calise

d’Accadia

2016

Energies

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This Special Issue aims at collecting the recent studies dealing with polygeneration systems, with a special focus on the possible integration of different technologies into a single system, able to convert one or multiple energy sources into energy services (electricity, heat and cooling) and other useful products (e.g., desalinized water, hydrogen, glycerin, ammonia, etc.). Renewable sources (solar, wind, hydro, biomass and geothermal), as well as fossil fuels, feeding advanced energy systems such as fuel cells and cogeneration systems, are considered. Special attention is paid to control strategies and to the management of the systems in general. Studies including thermoeconomic analyses and system optimizations are presented.

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Section: Contents Of the Special Issuesupporting

confidence: 87%

Section: Contents Of the Special Issuementioning

confidence: 99%

Simulation of Polygeneration Systems

Calise

d’Accadia

2016

Energies

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“…where f is the external surface view factor, T sky is the sky temperature, ε is the emissivity of the surface, α is the average spectral absorption factor (calculated through spectral reflectance curves integrated across the whole solar range), G bm accounts for the long-wave radiation exchange on the internal surface of the considered thermal zone, I is the total solar radiation flux (depending on geometrical relationships implemented in a specific subroutine [107]). Note that further details about the solar radiation subroutine, not reported for the sake of brevity, are available in reference [108]. The calculation of the solar radiation entering through transparent elements and distributed within the internal space is carried out by means of the selected absorption, reflection, and view factors.…”

Section: Heat Flow Calculation Proceduresmentioning

confidence: 99%

“…Further details of the developed mathematical model and concerning the related capabilities are available in references [72,108].…”

Section: Heat Flow Calculation Proceduresmentioning

confidence: 99%

Building Energy Performance Analysis: An Experimental Validation of an In-House Dynamic Simulation Tool through a Real Test Room

et al. 2019

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This paper focuses on the experimental validation of a building energy performance simulation tool by means of a comparative analysis between numerical results and measurements obtained on a real test room. The empirical tests were carried out for several months under variable weather conditions and in free-floating indoor temperature regime (switched off HVAC system). Measurements were exploited for validating an in-house simulation tool, implemented in MatLab and called DETECt, developed for dynamically assessing the energy performance of buildings. Results show that simulated indoor air and surface room temperatures resulted in very good agreement with the corresponding experimental data; the detected differences were often lower than 0.5 °C and almost always lower than 1 °C. Very low mean absolute and percentage errors were always achieved. In order to show the capabilities of the developed simulation tool, a suitable case study focused on innovative solar radiation high-reflective coatings, and infrared low-emissivity materials is also presented. The performance of these coatings and materials was investigated through a comparative analysis conducted to evaluate their heating and cooling energy saving potentials. Simulation results, obtained for the real test cell considered as equipped with such innovative coatings and material, show that for the weather zone of Naples a 5% saving is obtained both in summer and in winter by simultaneously adopting a high-reflectance coating and a low- emissivity plaster for roof/external walls and interior walls, respectively.

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“…In this context, reflective roof or insulation coatings have been utilized for increasing the energy savings potential of building envelopes, and several studies can be found in the literature, such as [18,19,[23][24][25][26][27]. Nevertheless, due to the low cost, concrete or ceramic tiles are widely used in roofs in Brazil.…”

Section: Introductionmentioning

confidence: 99%

Hygrothermal Dynamic and Mould Growth Risk Predictions for Concrete Tiles by Using Least Squares Support Vector Machines

2017

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Abstract:The hygrothermal analysis of roofs is relevant due to the large areas exposed to a wide range of weather conditions, these directly affecting the energy performance and thermal comfort of buildings. However, after a long life service, the solar absorptivity coatings of roofs can be altered by mould accumulation. Based on two well established mathematical models, one that adopts driving potentials to calculate temperature, moist air pressure and water vapor pressure gradients, and the other to estimate the mould growth risk on surfaces, this research introduces an approach to predict mould growth considering a reduced computational effort and simulation time. By adopting multiple MISO (Multiple-Input, Single-Output) Nonlinear AutoRegressive with eXogenous inputs (NARX) models, a machine learning technique known as Least Squares Support Vector Machines (LS-SVM), a maximum margin model based on structural risk minimization, was used to predict vapor flux, sensible heat flux, latent heat flux, and mould growth risk on roof surfaces. The proposed model was validated in terms of the Multiple Correlation Coefficient (R 2 ), Mean Square Error (MSE) and Mean Absolute Error (MAE) performance indices considering as input the weather file from Curitiba city-Brazil, showing consistent precision when compared to the results of a validated numerical model.

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Code-to-Code Validation and Application of a Dynamic Simulation Tool for the Building Energy Performance Analysis

Cited by 32 publications

References 52 publications

Simulation of Polygeneration Systems

Simulation of Polygeneration Systems

Building Energy Performance Analysis: An Experimental Validation of an In-House Dynamic Simulation Tool through a Real Test Room

Hygrothermal Dynamic and Mould Growth Risk Predictions for Concrete Tiles by Using Least Squares Support Vector Machines

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