Building energy model calibration: A review of the state of the art in approaches, methods, and tools

Vera-Piazzini, Ofelia; Scarpa, Massimiliano

doi:10.1016/j.jobe.2023.108287

Cited by 9 publications

(2 citation statements)

References 182 publications

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“…The process of energy modeling considers the architecture and materials of a building, alongside external climatic conditions and the building’s usage patterns, including occupancy rates, operational timings, and internal loads stemming from its designated function [ 5 ]. The significance of energy calibration models has surged in recent times, heralding the potential for energy conservation through refined onsite measurements, thereby enabling more accurate energy assessments [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Meteorological versus In Situ Variables in Ship Thermal Simulations

Arce,

Suárez-García,

López-Vázquez

et al. 2024

Sensors

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Thermal simulations have become increasingly popular in assessing energy efficiency and predicting thermal behaviors in various structures. Calibration of these simulations is essential for accurate predictions. A crucial aspect of this calibration involves investigating the influence of meteorological variables. This study aims to explore the impact of meteorological variables on thermal simulations, particularly focusing on ships. Using TRNSYS (TRaNsient System Simulation) software (v17), renowned for its capability to model complex energy systems within buildings, the significance of incorporating meteorological data into thermal simulations was analyzed. The investigation centered on a patrol vessel stationed in a port in Galicia, northwest Spain. To ensure accuracy, we not only utilized the vessel’s dimensions but also conducted in situ temperature measurements onboard. Furthermore, a dedicated weather station was installed to capture real-time meteorological data. Data from multiple sources, including Meteonorm and MeteoGalicia, were collected for comparative analysis. By juxtaposing simulations based on meteorological variables against those relying solely on in situ measurements, we sought to discern the relative merits of each approach in enhancing the fidelity of thermal simulations.

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Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Meteorological versus In Situ Variables in Ship Thermal Simulations

Arce,

Suárez-García,

López-Vázquez

et al. 2024

Sensors

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“…At the same time, the proliferation of more rigorous building performance codes and standards [2] acts as a key catalyst for increasing reliance on computer simulation tools. These tools are essential for verifying compliance with building performance benchmarks, reflecting a shift towards more advanced evaluation methods in the construction and design industries [3,4].…”

Section: Introductionmentioning

confidence: 99%

The Relevance of Surface Resistances on the Conductive Thermal Resistance of Lightweight Steel-Framed Walls: A Numerical Simulation Study

Santos,

Abrantes,

Lopes

et al. 2024

Applied Sciences

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The accurate evaluation of the thermal performance of building envelope components (e.g., facade walls) is crucial for the reliable evaluation of their energy efficiency. There are several methods available to quantify their thermal resistance, such as analytical formulations (e.g., ISO 6946 simplified calculation method), numerical simulations (e.g., using finite element method), experimental measurements under lab-controlled conditions or in situ. Regarding measurements, when using the heat flow meter (HFM) method, very often, the measured value is based on surface conditions (e.g., temperature and heat flux), achieving in this way the so-called surface-to-surface or conductive thermal resistance (Rcond). When the building components are made of homogeneous layers, their Rcond values are constant, regardless of their internal and external surface boundary conditions. However, whenever this element is composed of inhomogeneous layers, such as in lightweight steel-framed (LSF) walls, their Rcond values are no longer constant, depending on their thermal surface resistance. In the literature, such systematic research into how these Rcond values vary is not available. In this study, the values of four LSF walls were computed, with different levels of thermal conductivity inhomogeneity, making use of four finite elements’ numerical simulation tools. Six external thermal surface resistances (Rse) were modelled, ranging from 0.00 up to 0.20 m2·K/W. The average temperature of the partition LSF walls is 15 °C, while for the facade LSF walls it is 10 °C. It was found that the accuracy values of all evaluated numerical software are very high and similar, the Rcond values being nearly constant for walls with homogeneous layers, as expected. However, the variation in the Rcond value depends on the level of inhomogeneity in the LSF wall layers, increasing up to 8%, i.e., +0.123 m2·K/W, for the evaluated Rse values.

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Evaluating the Impact of Suboptimal HVAC Systems on Control Strategies

Houben,

Jacobs,

Massobrio

et al. 2024

Lecture Notes on Data Engineering and Communications Technologies

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Building energy model calibration: A review of the state of the art in approaches, methods, and tools

Cited by 9 publications

References 182 publications

Comparative Analysis of Meteorological versus In Situ Variables in Ship Thermal Simulations

Comparative Analysis of Meteorological versus In Situ Variables in Ship Thermal Simulations

The Relevance of Surface Resistances on the Conductive Thermal Resistance of Lightweight Steel-Framed Walls: A Numerical Simulation Study

Evaluating the Impact of Suboptimal HVAC Systems on Control Strategies

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