Fast Simulation Methods for Dynamic Heat Transfer through Building Envelope Based on Model-order-Reduction

He, Xiao; Kong, Qiongxiang; Xiao, Zhi-Hua

doi:10.1016/j.proeng.2015.09.149

Cited by 10 publications

(8 citation statements)

References 12 publications

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“…Ecotect and BIM are commonly used simulation software to analyze the energy consumption and heat transfer of buildings at present. With friendly user interface, high computational compatibility, and intuitive results, Ecotect and BIM are suitable for the analysis and research of meteorological data and building environment to provide the basis for the optimization and promotion of architectural design scheme, which is beneficial to the realization of an efficient architectural scheme design [25,26]. Using harmonic response method as being implemented by BIM to calculate the thermal loads has the advantages of simple calculation and no need for repeated iteration to be effectively applied in predicting the actual engineering energy consumption [26].…”

Section: Simulation Schemes and Design Parametersmentioning

confidence: 99%

“…With friendly user interface, high computational compatibility, and intuitive results, Ecotect and BIM are suitable for the analysis and research of meteorological data and building environment to provide the basis for the optimization and promotion of architectural design scheme, which is beneficial to the realization of an efficient architectural scheme design [25,26]. Using harmonic response method as being implemented by BIM to calculate the thermal loads has the advantages of simple calculation and no need for repeated iteration to be effectively applied in predicting the actual engineering energy consumption [26]. By harmonic response method, the attenuation and delay of the building enclosure structure can be considered to calculate the time-by-time load and energy consumption through a year.…”

Section: Simulation Schemes and Design Parametersmentioning

confidence: 99%

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Heat Transfer and Energy Consumption of Passive House in a Severely Cold Area: Simulation Analyses

2020

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In order to improve the heat transfer in enclosure structure of passive houses in cold area with complex climatic conditions, a three-dimensional model is established to investigate the time-by-case changes of outdoor temperature and solar irradiation based on the principle of integral change and the method of response coefficient and harmonious wave reaction. The variations of hourly cooling and heating loads with outdoor temperature and solar irradiation are analyzed. As simulated by cloud computing technology, the passive building energy consumption meets the requirements of passive building specifications. In the present research, super-thermal insulation external wall, enclosure structure of energy-conserving doors and windows, and high efficiency heat recovery system are employed to achieve a constant temperature without active mechanical heating and cooling, which suggests a strategic routine to remarkably decrease the total energy consumption and annual operation cost of passive building.

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Section: Simulation Schemes and Design Parametersmentioning

confidence: 99%

Section: Simulation Schemes and Design Parametersmentioning

confidence: 99%

Heat Transfer and Energy Consumption of Passive House in a Severely Cold Area: Simulation Analyses

2020

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“…Let us start our discussion of implicit schemes by inspecting in more detail the arising linear systems. The implicit schemes (26) and (31) result in a large sparse linear systems of equations and can expressed as…”

Section: Discrete Time Integrationmentioning

confidence: 99%

Model Order Reduction for Efficient Descriptor-Based Shape Analysis

Bähr,

Breuß,

Dachsel

2019

Preprint

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In order to investigate correspondences between 3D shapes, many methods rely on a feature descriptor which is invariant under almost isometric transformations. An interesting class of models for such descriptors relies on partial differential equations (PDEs) based on the Laplace-Beltrami operator for constructing intrinsic shape signatures. In order to conduct the construction, not only a variety of PDEs but also several ways to solve them have been considered in previous works. In particular, spectral methods have been used derived from the series expansion of analytic solutions of the PDEs, and alternatively numerical integration schemes have been proposed.In this paper we show how to define a computational framework by model order reduction (MOR) that yields efficient PDE integration and much more accurate shape signatures as in previous works. Within the construction of our framework we introduce some technical novelties that contribute to these advances, and in doing this we present some improvements for virtually all considered methods. As part of the main contributions, we show for the first time an extensive and detailed comparison between the spectral and integration techniques, which is possible by the advances documented in this paper. We also propose here to employ soft correspondences in the context of the MOR methods which turns out to be highly beneficial with this approach.

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“…The most used technique is the proper orthogonal decomposition (POD) method that requires the knowledge of thermal fields to get a reduced basis. Initiated in the field of fluid mechanics, numerous thermal studies were performed 12‐14 . Recently, similar methods have emerged: such as the APHR method 15 and the PGD approach 16 …”

Section: Introductionmentioning

confidence: 99%

“…Initiated in the field of fluid mechanics, numerous thermal studies were performed. [12][13][14] Recently, similar methods have emerged: such as the APHR method 15 and the PGD approach. 16 There is another technique that is particularly suitable for inverse problems: It is the MIM method, in which the reduced model is directly identified without computing or identifying the modal basis.…”

Section: Introductionmentioning

confidence: 99%

Simulation of a set of large‐size thermal enclosures by a substructured reduced‐order model

2020

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In the context of simulations of coupled thermal enclosures, we present here a substructuring technique adapted to the amalgam reduced‐order modal model (AROMM). This technique consists of splitting the geometry into different zones. A modal model is then applied to each zone, and the coupling of the resulting models is performed via a thermal contact resistance. This technique allows the consideration of physical thermal resistances between different components of the geometry, as well as the making of fictitious cuts within a continuous domain, when its large size causes difficulties in obtaining the global reduced model. Applied to the simulation of a simplified component of a liquefied natural gas carrier, the use of a substructured model with 200 modes allows an access to the whole temperature field with a maximum difference near 1 K and an average difference of the order of 0.2 K, compared with a conventional Lagrange finite‐element model of shell type, which requires 60 times longer calculation.

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Fast Simulation Methods for Dynamic Heat Transfer through Building Envelope Based on Model-order-Reduction

Cited by 10 publications

References 12 publications

Heat Transfer and Energy Consumption of Passive House in a Severely Cold Area: Simulation Analyses

Heat Transfer and Energy Consumption of Passive House in a Severely Cold Area: Simulation Analyses

Model Order Reduction for Efficient Descriptor-Based Shape Analysis

Simulation of a set of large‐size thermal enclosures by a substructured reduced‐order model

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