Computer-Based Performance Simulation for Building Design and Evaluation: The Singapore Perspective

Hien, Wong Nyuk; Poh, Lam Khee; Feriadi, Henry

doi:10.1177/1046878103255917

Cited by 7 publications

(7 citation statements)

References 9 publications

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“…Numerical techniques, such as the finite element method (FEM), have been widely used for simulating the mechanical properties of objects and flow performance of fluid. For the simulation of the mechanical properties, the FEM was successfully applied in the prediction and simulation of the self-supporting capacity and force analysis for building design (Hien, Poh, & Feriadi, 2003), bridge design and extreme load prediction (Hong, Koh, & Hong, 2016;Xu, Øiseth, Moan, & Naess, 2018), soil-structure analysis (Hidajat et al, 2018), and mechanical structure analysis (Campos, Molins, Trubat, & Alarcón, 2017;Mancuso, Pitarresi, & Tumino, 2018). This suggests that the FEM could be an effective method for analyzing, predicting, and designing the 3D printed objects and their inner structure (Mao et al, 2018).…”

Section: Numerical Techniques For 3d Printingmentioning

confidence: 99%

Model Building and Slicing in Food 3D Printing Processes: A Review

Guo

Zhang

Bhandari

2019

Comp Rev Food Sci Food Safe

131

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Three‐dimensional (3D) printing has been successfully applied to food processing, and widely appreciated by food science researchers. Recently, a lot of researches and review works have been done focusing on the ink's properties, printer design, and printing parameters. However, few articles specifically describe 3D models and slicing methods used in food printing. This work introduced the requirements for 3D printing models in some specific areas, discussed the critical parameter settings in the model slicing processes, and discussed the possible use of numerical techniques in the model building and printing of food 3D printing. The objective of this review is to increase researchers' focus on 3D printing models and slices in order to optimize the printing process and to provide some useful information for future research.

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Section: Numerical Techniques For 3d Printingmentioning

confidence: 99%

Model Building and Slicing in Food 3D Printing Processes: A Review

Guo

Zhang

Bhandari

2019

Comp Rev Food Sci Food Safe

131

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“…One group consists of architects who are not lighting experts, but study influence of natural and artificial light in their designs. The other group consists of lighting/daylighting researchers and physicists, who are not full time designers but favour validation and verification (Reinhart and Fitz 2006, Hien et al 2003Attia et al 2009). Although current tools offer a variety of output data, considerable expertise is needed to interpret and explain results (Hong et al 2000).…”

Section: Output Interpretationmentioning

confidence: 99%

“…They are single-output based (Hien, et al 2003) and focused on being used by experts (Petersen and Svendsen 2010). Long computational times are a setback (Sarawgi 2004).…”

Section: Applications Of Lighting Simulation In the Architectural Desmentioning

confidence: 99%

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State of the art in lighting simulation for building science: a literature review

Ochoa

Aries

Hensen

2012

Journal of Building Performance Simulation

119

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, J. L. M. (2012). State of the art in lighting simulation for building science : a literature review. Journal of Building Performance Simulation, 5(4), 209-233. DOI: 10.1080209-233. DOI: 10. /19401493.2011 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. This paper examines the current state of the art in lighting simulation related to building science research. Discussion on historical developments and main modelling approaches is followed by describing lighting simulation within the design process, where it is applied beyond presentation renderings. Works are grouped using the main aspects of a program (input, modelling, and output). Lighting simulation currently focuses on representing accurately a large number of common situations encountered by building designers and researchers. Existing models apply roughly the same theoretical algorithms and calculation aids, limiting representation of certain physical phenomena. Although some models can be used for element design, they are not practical enough to develop or prototype new, untested elements. Elaborate building components require separate analysis through complex simulation aids. Few tools support the early architectural design process. Simplification applies when integrating lighting simulation to whole-building simulation. Input quality affects accuracy, while output needs careful expert interpretation.

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“…The development of computer technologies and modeling techniques has enabled the prediction of energy consumption levels in buildings [5]. By means of design control methods using dynamic models, prediction of the thermal performance of building systems is now more cost-effective and less time-consuming.…”

Section: Introductionmentioning

confidence: 99%

Model predictive control strategy applied to different types of building for space heating

et al. 2018

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In recent years, the concept of energy-efficient buildings has attracted widespread attention due to growing energy consumption in different types of buildings. The application of thermal energy storage (TES) systems, especially latent heat energy storage (LHES), has become a promising approach to improve thermal efficiency of buildings and hence reduces CO 2 emissions. One way to achieve this could be by implementing a model predictive control (MPC) strategy, using weather and electricity cost predictions. To this end, a heat exchanger unit containing a phase change material (PCM) as a LHES medium, thermally charged by 2 solar energy was incorporated into three versions of a standard building. This paper reports on the use of EnergyPlus software to simulate the heating demand profile of these buildings, with Solving Constraint Integer Programs (SCIP) as the optimization tool. After applying the MPC strategy, the energy costs of different building types were evaluated. Furthermore, the effect of the prediction horizon and decision time step of the MPC strategy, and PCM mass capacity on the performance of the MPC were all investigated in 1 and 7-day simulations. The results showed that by increasing the prediction horizon and PCM mass, more cost saving could be obtained. However, in terms of decision time step, although the study revealed that increasing it led to a higher energy saving, it made the system more sensitive to sharp changes as it failed to provide an accurate reading of the parameters and variables.

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Computer-Based Performance Simulation for Building Design and Evaluation: The Singapore Perspective

Cited by 7 publications

References 9 publications

Model Building and Slicing in Food 3D Printing Processes: A Review

Model Building and Slicing in Food 3D Printing Processes: A Review

State of the art in lighting simulation for building science: a literature review

Model predictive control strategy applied to different types of building for space heating

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