Review Paper: Building simulation and building representation: Overview of current developments

Wright, A.R.; Bloomfield, D.; Wiltshire, Travis J.

doi:10.1177/014362449201300101

Cited by 9 publications

(4 citation statements)

References 4 publications

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“…The radiant surface is calculated as a surface with a constant temperature. The energy balance for indoor air is shown in (6). The heat gains from internal equipment and occupants are calculated in (6):…”

Section: Lumped Parameter Model Ofmentioning

confidence: 99%

“…Generally, the model used for calculating the building thermal process can be classified into three categories: physical model, black-box model, and graybox model. Among these three models, the physical model is most widely used, and there are various software tools using the physical model to simulate the heat transfer process, such as DOE-2, HAPE-20, BLAST, TAS, HVACSIM+, TRNSYS, SPARK, and ESP-r [6,7]. For improving the accuracy, the physical model is generally solved by the impulse response method or the finite difference method.…”

Section: Introductionmentioning

confidence: 99%

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Simplified Building Thermal Model Used for Optimal Control of Radiant Cooling System

Lei

et al. 2016

Mathematical Problems in Engineering

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MPC has the ability to optimize the system operation parameters for energy conservation. Recently, it has been used in HVAC systems for saving energy, but there are very few applications in radiant cooling systems. To implement MPC in buildings with radiant terminals, the predictions of cooling load and thermal environment are indispensable. In this paper, a simplified thermal model is proposed for predicting cooling load and thermal environment in buildings with radiant floor. In this thermal model, the black-box model is introduced to derive the incident solar radiation, while the genetic algorithm is utilized to identify the parameters of the thermal model. In order to further validate this simplified thermal model, simulated results from TRNSYS are compared with those from this model and the deviation is evaluated based on coefficient of variation of root mean square (CV). The results show that the simplified model can predict the operative temperature with a CV lower than 1% and predict cooling loads with a CV lower than 10%. For the purpose of supervisory control in HVAC systems, this simplified RC thermal model has an acceptable accuracy and can be used for further MPC in buildings with radiation terminals.

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Section: Lumped Parameter Model Ofmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simplified Building Thermal Model Used for Optimal Control of Radiant Cooling System

Lei

et al. 2016

Mathematical Problems in Engineering

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“…However, a model for the simulation of a complex system, such as a building, in object-oriented languages is not trivial [47]. One of the main questions is to what the objects should correspond.…”

Section: Modeling Approaches For Hvac Systemsmentioning

confidence: 99%

Overview of HVAC system simulation

Trcka

Hensen

2010

Automation in Construction

163

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The paper gives an overview of heating, ventilation and air-conditioning (HVAC) system modeling and simulation. The categorization of tools for HVAC system design and analysis with respect to which problems they are meant to deal with is introduced. Each categorization is explained and example tools are given. Further, the paper summarizes current approaches used for modeling (i) HVAC components, (ii) HVAC control and (iii) HVAC systems in general. After giving an overview of solution techniques for HVAC system simulation, the paper provides suggestions on how one should select an HVAC modeling approach relative to the simulation objective at hand.

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“…Until fairly recently building thermal models have developed in the three quite separate avenues of dynamic thermal modelling (e.g., Wright et al 1 ); conjugate heat and mass transfer (e.g., Yik et al 2 ); and computational uid dynamics (e.g., Gan 3 ). Nevertheless these three avenues are intrinsically linked and part of the same problem in that the ultimate building thermal model must include the simultaneous and interacting exchange paths of fabric heat and moisture transfer and surface convection and radiation.…”

Section: Introductionmentioning

confidence: 99%

A modelling method for conjugate heat transfer and fluid flow in building spaces

Potter

Underwood

2004

Building Services Engineering Research and Technology

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Computational fluid dynamics (CFD) has been used extensively for the prediction of air movement in buildings. In many cases buoyancy forces generated at heated surfaces that dissipate their energy by an interactive process of convection, radiation and conduction dominate air movement. In this work a new method for calculating conjugate fluxes at surfaces involving coupled short-wave and long-wave radiation, convection and conduction is developed as part of the CFD eld problem. The method is based on translating surface radiant exchanges into local volumetric fluxes. Results for a test room with a heated surface compared with data generated within the framework of IEA Annex 20 show that the method produces better results than might be expected from conventional models that use simplified radiant treatments.

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Review Paper: Building simulation and building representation: Overview of current developments

Cited by 9 publications

References 4 publications

Simplified Building Thermal Model Used for Optimal Control of Radiant Cooling System

Simplified Building Thermal Model Used for Optimal Control of Radiant Cooling System

Overview of HVAC system simulation

A modelling method for conjugate heat transfer and fluid flow in building spaces

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