A multimodel approach to building thermal simulation for design and research purposes

Boyer, Harry; Garde, François; Gatina, Jean Claude; Brau, J.

doi:10.1016/s0378-7788(97)00064-9

Cited by 34 publications

(14 citation statements)

References 15 publications

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“…It is able to simulate the temperature and flux fields of monozone and multi-zone buildings according to its location and climate. Usually, ISOLAB is dedicated to test models before integration in the building simulation software CODYRUN, developed and distributed at the Physics and Mathematical Engineering Laboratory for Energy and Environment of the University of Reunion [3,4]. The building thermal model used by ISOLAB is based on the discretization of the transient heat transfer equation (1) :…”

Section: Presentation Of the Building Simulation Code Isolabmentioning

confidence: 99%

A thermal model for phase change materials in a building roof for a tropical and humid climate: Model description and elements of validation

Guichard¹,

Miranville²,

Bigot³

et al. 2014

Energy and Buildings

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Section: Presentation Of the Building Simulation Code Isolabmentioning

confidence: 99%

A thermal model for phase change materials in a building roof for a tropical and humid climate: Model description and elements of validation

Guichard¹,

Miranville²,

Bigot³

et al. 2014

Energy and Buildings

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“…Developed by the Physics and Mathematical Engineering Laboratory for Energy and Environment at the University of Reunion Island, CODYRUN [5][6][7][8][9][10][11][12][13] is a multi-zone software program integrating ventilation and moisture transport transfer in buildings. The software employs a zone approach based on nodal analysis and resolves a coupled system describing thermal and airflow phenomena.…”

Section: From Thermal Simulation To Daylight Modelmentioning

confidence: 99%

Evolution of CODYRUN from Thermal Simulation to Coupled Thermal and Daylight Simulation Software

Boyer¹,

Fakra²,

Miranville³

et al. 2014

Energy Procedia

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CODYRUN is a multi-zone software integrating thermal building simulation, airflow, and pollutant transfer. Described in numerous publications, this software was originally used for the passive design of buildings, both for research and teaching purposes. In this context, the data treated were mainly concerned with volumes (zones), surfaces and thicknesses (walls and windows), materials, and systems, with the aim to determine temperatures, heat fluxes, energy consumed, air transfers, and so on.The question thus arose as to the integration of indoor lighting conditions into the simulation. Hence, previous data structures had to be amended to incorporate the spatial positioning of entities (walls, windows, and artificial lighting sources) through vertexes. A set of procedures was also developed for polygons as well as calculating natural and artificial lighting.The results of this new daylighting module were then compared with other results of simulation codes and experimental cases both in artificial and natural environments. Excellent agreements were obtained, such as the values for luminous efficiencies in a tropical and humid climate.A simulation exercise was conducted in a classroom located in Reunion Island (French overseas territory in the Indian Ocean), thus confirming the interest for thermal and daylighting designs in lowenergy buildings.

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“…The software is a tool dedicated to researchers and professionals. Physical models taken into account in the software are: Details of the multiple-model characteristics of CODYRUN are given in [21], the thermal model constitution in [22], the pressure airflow model in [23], the outdoor illuminance model in [40], the datastructuration and the description of the tool in [24] and CO 2 model in [25].…”

Section: Brief Description Of Codyrun Softwarementioning

confidence: 99%

Development of a new model to predict indoor daylighting: Integration in CODYRUN software and validation

Fakra¹,

Miranville²,

Boyer³

et al. 2011

Energy Conversion and Management

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Many models exist in the scientific literature for determining indoor daylighting values. They are classified in three categories: numerical, simplified and empirical models. Nevertheless, each of these categories of models are not convenient for every application. Indeed, the numerical model requires high calculation time;conditions of use of the simplified models are limited, and experimental models need not only important financial resources but also a perfect control of experimental devices (e.g. scale model), as well as climatic characteristics of the location (e.g. in situ experiment).In this article, a new model based on a combination of multiple simplified models is established. The objective is to improve this category of model. The originality of our paper relies on the coupling of several simplified models of indoor daylighting calculations. The accuracy of the simulation code, introduced into CODYRUN software to simulate correctly indoor illuminance, is then verified.Besides, the software consists of a numerical building simulation code, developed in the Physics and Mathematical Engineering Laboratory for Energy and Environment (P.I.M.E.N.T) at the University of Reunion.Initially dedicated to the thermal, airflow and hydrous phenomena in the buildings, the software has been completed for the calculation of indoor daylighting. New models and algorithms -which rely on a semidetailed approach -will be presented in this paper.In order to validate the accuracy of the integrated models, many test cases have been considered as analytical, inter-software comparisons and experimental comparisons. In order to prove the accuracy of the new model -which can properly simulate the illuminance -a confrontation between the results obtained from the software (developed in this research paper) and the major made at a given place is described in details. A new statistical indicator to appreciate the margins of errors -named RSD (Reliability of Software Degrees) -is also be defined. 2The objective is not only to develop an efficient research tool to improve visual comfort and reduce energy consumption, but also to transfer the knowledge through these decision-making aids tools to praticians and decision makers.

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A multimodel approach to building thermal simulation for design and research purposes

Cited by 34 publications

References 15 publications

A thermal model for phase change materials in a building roof for a tropical and humid climate: Model description and elements of validation

A thermal model for phase change materials in a building roof for a tropical and humid climate: Model description and elements of validation

Evolution of CODYRUN from Thermal Simulation to Coupled Thermal and Daylight Simulation Software

Development of a new model to predict indoor daylighting: Integration in CODYRUN software and validation

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